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GitLab is an intelligent DevSecOps orchestration platform trusted by 50M+ users and many Fortune 100 companies, with AI integrated as a core productivity multiplier and a culture focused on high performance and inclusion. In this role, you’ll build, manage, and support a globally distributed engineering team delivering high-quality platform capabilities and experiences, hiring and onboarding talent, and aligning engineering with product management, design, and business goals in a remote, asynchronous environment. You’ll guide system architecture, code quality, performance, security, and maintainability across frontend and backend, refine agile workflows, manage blockers, and integrate AI tooling to boost productivity and innovation, while conducting regular one-on-ones and supporting career progression and reliability/incident management. You should have experience managing engineering teams, enterprise software, distributed systems, and delivery pipelines, plus the ability to align stakeholders, establish processes in fast-changing environments, and communicate effectively in remote settings, with a commitment to inclusive, psychologically safe cultures and AI-assisted tooling. The Core DevOps team owns core repository capabilities, GitLab supports globally remote roles with location-based guidelines, and the company offers benefits such as flexible PTO, equity, a Growth and Development Fund, parental leave, and a strong equal-opportunity and accommodation policy.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation; more than 50 million registered users and over 50% of the Fortune 100 trust GitLab, and AI is embedded as a core productivity multiplier across the team. The company describes a high-performance, values-driven culture where innovation flourishes and every voice is valued, inviting collaboration to co-create the future of software development. The Scale Ecosystem Sales Manager - EMEA role, based in the UK (Dublin considered), focuses on turning GitLab's partner ecosystem into a scalable source of new customers by driving partner-sourced Scale pipeline through repeatable campaigns, account mapping, and whitespace analysis. You will collaborate with Scale Account Executives, Field Marketing, regional sales leadership, distributors, long-tail resellers, and hyperscalers like AWS and Google Cloud to integrate partners throughout the sales cycle, and you will own programmatic partner engagement from identifying and recruiting partners to enabling and activating them at scale, including hyperscaler co-sell and marketplace initiatives, events, and post-event pipeline conversion while providing weekly forecasts and reports. Requirements include B2B sales development or partner-driven pipeline generation experience, familiarity with partner ecosystems and hyperscalers, ability to design scalable demand generation, experience with Salesforce and marketing automation, strong analytical and communication skills, fluency in English (German, French, or Spanish a plus), willingness to travel, and a note that GitLab is an equal opportunity, remote-friendly employer with location-based guidelines and accommodation options.

GitLab is an intelligent orchestration platform for DevSecOps that helps organizations boost developer productivity, improve operational efficiency, reduce security risk, and accelerate digital transformation, trusted by over 50 million users and many Fortune 100 companies. The company emphasizes AI as a core productivity multiplier and expects all employees to incorporate AI into daily workflows, reflecting a high-performance, value-driven culture. The role described is Commercial Named Account Executive for the US, targeting the top end of the mid-market (250–3,999 employees) and managing a broad book of business across Central, Mountain, or Pacific time zones while aiming to exceed quota. Responsibilities include owning the buying process, prospecting and closing new business, ensuring solution adoption and low churn, forecasting, and collaborating with partners and cross-functional teams, plus providing customer feedback to improve products and processes. Compensation features a US base salary range of $91,600–$154,200 with incentive pay up to 100%, remote/global eligibility with location-based requirements, and a strong commitment to equal opportunity and inclusive recruitment policies.

GitLab presents itself as an intelligent orchestration platform for DevSecOps, trusted by over 50 million users and more than half of the Fortune 100, with AI embedded as a core productivity multiplier. The role described is an entry-level, remote Associate Revenue Operations Analyst, Policy & Rules of Engagement, based in US time zones and supporting Field Sales by applying go-to-market policies consistently and handling policy-related disputes. Responsibilities include documenting and maintaining policies, responding to policy questions via Salesforce Chatter, case requests, and Slack, and collaborating with operations, strategy, sales compensation, and sales systems to ensure scalable, well-understood processes. The ideal candidate has interest in revenue or sales operations, data and documentation skills, the ability to organize and prioritize work, clear communication, and curiosity, with Salesforce familiarity considered a plus; the salary range for the role is $71,200–$121,200 in the US, with incentive pay up to 100% of base, plus benefits. GitLab emphasizes equal opportunity employment, offers extensive benefits (flexible PTO, equity, parental leave, growth funds), and provides accommodations as needed, noting remote work with location-based eligibility in some cases.

Zendesk is seeking an AI Success Strategist to lead the AI-powered Resolution Platform, owning the strategic AI roadmap and building executive partnerships to launch AI initiatives strongly and scale them predictably. You will own end-to-end delivery of customers’ AI roadmaps, translating product capabilities into clear business strategy, defining a long-term AI vision, aligning internal and external teams, and driving execution from adoption through expansion, with success measured by customer satisfaction, automated resolution usage, and retention. Key responsibilities include acting as the design authority for AI deployments, coordinating complex implementations with cross-functional teams, shaping long-term AI strategy with executive stakeholders, sustaining a mutual AI roadmap, and managing channel adoption and governance with Responsible AI guidance. Qualifications include 10+ years in Customer Success/Experience, 2+ years of AI experience, enterprise SaaS/GTM experience, adoption analytics, a bachelor’s degree (advanced degrees or certifications preferred), and the ability to distill AI concepts for diverse audiences plus strong program management and cross-functional influence. The role is hybrid with in-office requirements, Zendesk’s commitment to diversity and inclusion, and the potential use of AI in screening with accommodations available for disabilities.

The AI Success Strategist at Zendesk owns end-to-end delivery of customers’ AI roadmaps, translating product capabilities into clear business strategy, defining a long-term AI vision, and driving adoption from initial deployment through sustained expansion with cross-functional teams. Success is measured by high customer satisfaction, increased automated resolution usage, improved retention, and the ability to scale AI programs to deliver predictable revenue and renewals. Responsibilities include acting as the design authority for deployments, coordinating with Professional Services, Product, and Engineering to remove blockers, partnering with executives on strategic AI directions, and maintaining recurring, outcome-driven roadmaps and engagement cadences. Qualifications include 5+ years in Customer Success/Experience with 1+ year in AI, enterprise SaaS/GTM experience, strong adoption analytics to forecast churn and expansion, a bachelor’s degree in a related field (advanced degrees or AI strategy certifications preferred), and demonstrated cross-functional influence. Zendesk offers a hybrid work environment and a commitment to equal opportunity, with AI screening potentially used in applications; the US OTE ranges from $118,000 to $178,000 with a 70/30 base/commission split, based on location and experience.

Zendesk seeks proactive software sales professionals for a pure hunting business development role in North America to identify and qualify opportunities and help drive pipeline, collaborating with sales, product managers, industry sales directors, and marketing. Responsibilities include engaging with prospects, collaborating on target lists, generating high-value pipeline across SMB, Commercial, and Enterprise accounts, creating personalized outbound messaging, conducting outbound calls, researching companies (10K/10Q, investor presentations, news), and managing the pipeline to deliver a top-tier customer experience. Requirements include a minimum of 2 years in sales, experience across SMB/Enterprise/Commercial, a competitive self-starter mindset, excellent communication and writing skills, and proficiency with Salesforce, Zoominfo, Outreach, 6sense; Bachelor’s Degree preferable. Compensation features a US hourly OTE range of $36.54-$54.81 with a 70/30 base/commission split, potential bonuses or benefits, and a hybrid work setup requiring part of the week in-office with the exact schedule determined by the hiring manager. Zendesk is an equal opportunity employer committed to diversity, equity, and inclusion; AI or automated decision systems may be used to screen applicants; accommodations for disabilities are provided upon request via email, per company guidelines.

This role leads end-to-end delivery of customers' AI roadmaps at Zendesk, translating product capabilities into business strategy, defining a long-term AI vision, and driving adoption through expansion, with success measured by customer satisfaction, increased automated-resolution usage, and retention. It serves as the design authority for AI deployments, coordinating solution design and integration guidance with Professional Services, and aligning Product, Services, Sales, Success, and Partners to execute a shared AI roadmap with cross-functional stakeholders. Key responsibilities include sustaining executive-level engagement, establishing recurring outcome-driven cadences, owning channel and adoption strategies, measuring impact through adoption data and revenue retention, and advising on responsible AI practices and governance. Qualifications include at least 5+ years in Customer Success/Experience with 1+ year AI experience, prior go-to-market or enterprise SaaS roles, a proven track record using adoption analytics to forecast churn and expansion, a relevant Bachelor's degree, and strong program-management and cross-functional influence skills. Zendesk emphasizes an inclusive, hybrid workplace and equal opportunity employment, with transparency about AI screening and accommodations for disabilities upon request.

The job is an AI Services Consultant in Zendesk's Professional Services, part of the AI Delivery team, focused on implementing and optimizing the AI-powered Resolution Platform for customers. The mission is to provide technical solutions and remove roadblocks, acting as a technical expert and trusted advisor to guide customers through complex configurations for rapid value and business transformation. The overarching objective is to accelerate customers’ time-to-value by driving adoption and operational excellence of Zendesk AI solutions, leading end-to-end projects with clear scope, timelines, and stakeholder alignment. Key responsibilities include providing expert guidance on implementation, driving change management and training, ensuring timely project delivery and high customer satisfaction, and collaborating cross-functionally with Customer Success and Sales to align the AI roadmap. Required qualifications include 3+ years in consulting/Professional Services, GTM/enterprise SaaS experience, English fluency, REST API and JSON experience, Python preferred, analytics for adoption and churn forecasting, a relevant degree, and strong program management and communication skills, along with Zendesk’s commitment to equal opportunity and inclusive hiring with AI screening guidelines.

The GTM GM of Fashion is a role within Miro’s Professional Services, reporting to the Head of Professional Services and collaborating with Product, Engineering, Marketing, and GTM teams to build Miro’s new Fashion vertical. You’ll own the zero-to-one and scaling of dedicated fashion solutions, creating workflows for seasonal planning to day-to-day execution, and identifying use cases across design, planning, production, merchandising, marketing, and retail. You’ll identify target accounts, map champions and buying committees, carry early deals, partner with GTM, Product, and Engineering to shape the roadmap, and represent Miro for Fashion at events and with partners, while building the team and operating rhythm as the vertical grows. Non-negotiable requirements include deep fashion industry experience, understanding of full seasonal cycles, experience applying digital tools (PLM, 3D design, etc.), and strong sales capability; preferred is enterprise selling experience and comfort in navigating senior stakeholders and engineers, plus a leadership style that is comfortable without a playbook and biased toward action. Benefits include equity, wellbeing support, a WFH equipment allowance, and an annual Learning & Development stipend, with location-based salary ranges listed for Los Angeles, San Francisco, and New York as $204.34–$255.42 USD, alongside Miro’s emphasis on diversity, belonging, and the mission to empower teams to create the next big thing.

The Professional Services organization at Miro is creating a dedicated Fashion vertical, and the GTM Lead for Fashion will report to the Head of Professional Services, working cross-functionally to build this vertical from the ground up. The role owns the zero-to-one phase for fashion solutions—developing specialized workflows from seasonal planning to daily execution, identifying use cases across design, planning, production, merchandising, marketing, and retail, and turning them into a product and sales narrative that can be scaled. You’ll map target accounts, identify champions and buying committees, carry early deals, partner with GTM, Product, and Engineering to inform the roadmap, represent Miro at industry events, and build the team and operating rhythm as the vertical grows. Non-negotiable requirements include deep fashion industry experience, end-to-end seasonal exposure, experience applying digital tools to problems, and strong selling ability; enterprise sales experience and credible presence in fashion ecosystems are highly preferred, with a leadership style that builds trust and moves quickly. The package includes global benefits (equity, wellbeing, WFH stipend, learning stipend) and location-specific salary ranges for major cities, reflecting Miro’s commitment to diversity, inclusion, and growth within the role.

The Professional Services organization at Miro houses industry leads, and as GTM Lead of Fashion you’ll report to the Head of Professional Services while collaborating with Product, Engineering, Marketing, and GTM teams to build Miro’s Fashion vertical from the ground up. In this role you’ll own the zero-to-one for dedicated fashion solutions—designing workflows from seasonal planning to daily execution, identifying use cases across design, planning, production, merchandising, marketing, and retail, and scaling as the vertical grows, including targeting accounts, mapping buying committees, and personally closing early deals. Requirements include grown-up experience in fashion (inside apparel/footwear/retail), a full season lifecycle, experience applying digital tools to problems, comfort selling, and preferably enterprise sales execution with presence in industry events; the leadership profile emphasizes working without a playbook, building answers quickly, and earning trust with senior stakeholders and cross-functional teams. What’s in it for you includes equity, wellbeing benefits, a WFH equipment allowance, and an L&D stipend, with location-based benefits and a salary range of $204.34–$255.42 USD per location (LA, SF, NY), final compensation based on skills and experience. About Miro: a visual workspace for innovation used by over 100 million users and 250,000 companies, co-headquartered in San Francisco and Amsterdam, with 1,600+ employees, prioritizing collaboration, belonging, diversity, and inclusion, and supporting applicants with a Recruitment Privacy Policy.

The Professional Services team at Miro builds industry verticals, and as GTM Lead of Fashion you will report to the Head of Professional Services and collaborate with Product, Engineering, Marketing, and Go-to-Market teams to launch a new vertical from the ground up. You’ll own the zero-to-one for Miro’s Fashion solutions, creating specialized workflows from seasonal planning to day-to-day execution and translating identified fashion use cases into a compelling product and sales story that fashion teams recognize. You’ll identify target accounts, map champions and buying committees, carry early deals across the line, partner with GTM to align strategy, work with Product and Engineering on roadmap decisions, represent Miro at industry events, and build the team and operating rhythm as the vertical scales. Non-negotiable requirements include deep fashion industry experience, full-season exposure, experience with applied digital tools, and comfortable selling; enterprise sales experience and credibility in the fashion ecosystem are strongly preferred. The role offers benefits such as equity, wellbeing, a WFH equipment allowance, and an L&D stipend, with city-specific salary ranges listed (Los Angeles, San Francisco, New York) at $204.34–$255.42 USD, while Miro itself is a global visual workspace with 100M+ users and a focus on diversity and inclusion.

The Professional Services organization at Miro is launching a dedicated Fashion vertical, and as GTM GM of Fashion you’ll report to the Head of Professional Services and collaborate with Product, Engineering, Marketing, and Go-to-Market teams to build this vertical from the ground up. You will own the strategy, go-to-market, and commercial success for Miro for Fashion, developing specialized workflows from seasonal planning to day-to-day execution and proving the model deal-by-deal. Your responsibilities include identifying fashion use cases across design, planning, production, merchandising, marketing, and retail execution; translating them into a product and sales narrative; targeting accounts, mapping buying committees, and carrying early deals; partnering with GTM, Product, and Engineering; and representing Miro externally at industry events. You’ll build the team and operating rhythm needed as the vertical scales, hiring for a blend of industry depth and commercial instinct, with non-negotiable requirements like deep fashion industry experience, end-to-end season knowledge, and prior enterprise sales success with a bias to action. Miro offers benefits including equity, a learning stipend, and location-specific salary ranges (LA, SF, NY), along with a collaborative, diverse culture and a global footprint focused on growth and belonging.

The Professional Services organization at Miro is creating a new GTM GM of Fashion role who will own the strategy, go-to-market, and commercial success of Miro for Fashion, reporting to the Head of Professional Services and collaborating with Product, Engineering, Marketing, and GTM to build the vertical from the ground up. You’ll own the zero-to-one development of dedicated fashion solutions—designing workflows from seasonal planning to day-to-day execution, identifying cross-cutting use cases in design, planning, production, merchandising, marketing, and retail, and turning them into a product and sales narrative that fashion teams recognize. You’ll identify target accounts, map champions and buying committees, personally carry early deals, align GTM with the industry, partner with Product and Engineering to translate fashion realities into roadmap decisions, and represent Miro at industry events while shaping the team and operating rhythm as the vertical scales. Non-negotiable requirements include grown-up experience in fashion (season calendars, players, pressures), hands-on use of digital tools to solve seasonal planning/execution problems, and proven selling ability; strongly preferred are enterprise sales execution, senior stakeholder influence, and credibility in fashion ecosystems, with a leadership style that builds answers on the fly and moves quickly. What’s in it for you includes a global benefits package (equity, wellbeing benefit, WFH equipment allowance, L&D stipend), location-based salary ranges for LA/SF/NY (roughly $204k–$255k), and a culture focused on belonging, collaboration, and growth at a company dedicated to empowering teams to create the next big thing.

The GTM Lead of Fashion at Miro will build the dedicated fashion solutions from zero to one, defining specialized workflows across design, planning, production, merchandising, marketing, and retail to show fashion and apparel brands how Miro fits into their business and to close initial deals. They’ll identify where Miro can win across fashion and translate those use cases into a product and sales story that fashion teams immediately recognize, while targeting accounts, mapping champions and buying committees, and carrying the earliest deals across the line. They’ll partner with the GTM organization to align toward the industry and work closely with Product and Engineering to turn real fashion workflows into roadmap decisions, while representing Miro for Fashion at industry events and in the ecosystem of tools and partners. They’ll build the team and operating rhythm as the vertical scales beyond its first customers, hiring for both industry depth and commercial instinct, and bring a leadership style that’s comfortable without a playbook and focused on rapid trust-building. Miro offers benefits including equity, an annual Learning & Development stipend, and location-specific salary ranges for LA, SF, and NY, with a culture centered on collaboration, inclusion, and the mission to empower teams to create the next big thing.

The GTM GM of Fashion at Miro leads the strategy, go-to-market, and commercial success for Miro for Fashion, a new vertical, collaborating with Product, Engineering, Marketing, and GTM to build it from the ground up. Responsibilities include owning zero-to-one fashion solutions, defining workflows across design, planning, production, merchandising, marketing, and retail, and driving early deals while scaling the vertical. You will identify high-potential use cases, map target accounts and buying committees, partner with GTM and Product/Engineering to translate fashion operations into roadmap decisions, and represent Miro for Fashion at industry events and within partner ecosystems while building the team. Required: deep fashion industry experience, understanding seasonal cycles, experience applying digital tools to solve planning or execution problems, and strong sales ability; strongly preferred: enterprise sales, proven deal closure, comfortable public presence, and a leadership style that builds trust and acts with urgency. What’s in it for you: benefits including equity, wellbeing programs, equipment allowance, and an annual Learning & Development stipend; location-based salary ranges (Los Angeles, San Francisco, New York) of $204.34–$255.42 USD, with final compensation based on skills and experience; Miro is a visual workspace for distributed teams fostering a diverse, inclusive culture.

The role is GTM GM of Fashion within Miro’s Professional Services, reporting to the Head of Professional Services and working cross-functionally to build Miro’s fashion vertical from the ground up. You’ll own strategy, go-to-market, and commercial success for Miro for Fashion, developing specialized workflows and solutions that align with fashion brands’ actual operations and proving the model deal-by-deal. Key responsibilities include defining the zero-to-one fashion solutions across design, planning, production, merchandising, marketing, and retail, identifying target accounts and buying committees, driving early deals, partnering with GTM, Product, and Engineering to inform roadmaps, and building a scalable team while representing Miro externally. Requirements include deep fashion industry experience with seasonality knowledge, experience applying digital tools to solve seasonal planning or execution problems, and strong selling skills; strongly preferred are proven enterprise sales, ability to map buying committees, and a leadership style that builds trust and moves quickly. Perks include equity and benefits such as wellbeing, a WFH equipment allowance, and an L&D stipend, with location-specific salary ranges (LA, SF, NY) of about $204.34–$255.42 USD, plus a stated commitment to diversity and belonging at Miro.

The GTM GM of Fashion role at Miro’s Professional Services owns the strategy, go-to-market, and commercial success for Miro for Fashion, building the vertical from the ground up and collaborating cross-functionally with Product, Engineering, Marketing, and other GTM teams. Responsibilities include creating zero-to-one fashion solutions and workflows from seasonal planning to execution, identifying cross-cutting use cases across design, planning, production, merchandising, marketing, and retail, targeting accounts, guiding early deals, aligning GTM with Product and Engineering, and representing the unit externally at events while building a scalable team. Non-negotiable requirements include deep fashion industry experience, understanding the full seasonal cycle, experience applying digital tools, and strong selling ability, with a strongly preferred track record in enterprise sales execution and executive presence, plus a leadership profile that thrives with ambiguity and action. The role offers benefits such as equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend, with location-based salary ranges listed for Los Angeles, San Francisco, and New York and final compensation based on skills and experience. About Miro: a visual workspace platform for distributed teams with over 100 million users and 250,000 companies, co-headquartered in San Francisco and Amsterdam, employing more than 1,600 people across 13 hubs, and emphasizing diversity, inclusion, and belonging with a Recruitment Privacy Policy in place.

Lucid Software is a leader in AI-driven work acceleration offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, aiming to turn ideas into reality while upholding values like innovation, excellence, empowerment, initiative, and teamwork in a respectful, inclusive, hybrid workplace. The company is seeking a Solutions Engineer for its EMEA team in Amsterdam to bring Lucid’s tools to life for its largest customers, serving as the technical lead and partner to the Enterprise Sales team. Responsibilities include delivering high-impact tailored demonstrations, conducting deep technical discovery, leading customer pilots and onsite workshops with defined ROI, serving as a product SME, translating customer feedback into roadmap insights, and innovating SE operations to scale impact. Requirements include 5+ years in a similar customer-facing enterprise role, exceptional communication and presentation skills, adaptability, a solution-oriented mindset, strong collaboration, alignment with Lucid’s culture, and willingness to travel, with a hybrid schedule in Amsterdam two days per week (Tuesday and Thursday). Preferred qualifications comprise experience with process strategy/design and process mining or automation, continuous learning of AI/tech trends, digital transformation experience in large enterprises, hands-on coding or data manipulation, and fluency in a major European language (German a plus).

Lucid Software is a leader in AI-driven work acceleration with the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, designed to help organizations streamline work, foster alignment, and drive business transformation at scale, guided by values of innovation, excellence, empowerment, initiative, and teamwork in a diverse, inclusive, hybrid workplace. They are seeking a Sales Engineer for the EMEA team in Amsterdam to bring the Lucid platform to life for their largest customers, partnering with Enterprise Sales to bridge complex business problems and elegant solutions. Responsibilities include delivering high-impact, tailored technical demonstrations, conducting deep technical discovery, leading pilots and workshops with defined ROI and training, serving as the product SME, and translating customer feedback into actionable roadmap improvements while optimizing SE operations. Requirements include 5+ years of experience as a Solutions Engineer or similar, exceptional communication and presentation skills, the ability to adapt in real time and articulate business value, a solution-oriented and collaborative mindset, strong cross-functional collaboration, willingness to travel, and a hybrid work arrangement at the Amsterdam office two days per week (Tuesday and Thursday). Preferred qualifications cover process strategy/design, process mining or automation, continuous learning about AI and tech trends, experience with digital transformations in large enterprises, hands-on coding or data manipulation skills, and fluency in a major European language (German a strong plus).

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive business transformation. The company emphasizes core values like innovation, excellence, empowerment, initiative, and teamwork, and maintains a respectful, inclusive culture with a hybrid work model that supports remote or office-based work. The SMB New Logo Team role targets enterprise accounts in a fast-paced, high-velocity environment, owning a territory, executing proactive outbound strategies, and guiding deals from qualification to close with tailored discovery and demos. Requirements include 1+ years of closing sales or 2+ years in BD/SDR, strong multi-channel outbound experience, Salesforce familiarity, and fluency in English and German, with a hybrid Amsterdam office schedule (Tue/Thu). The German posting mirrors these details and notes Lucid’s accolades and large customer base, including awards like Forbes Cloud 100 and Fortune Best Workplaces in Tech, plus customers such as Google, GE, and NBC Universal and partnerships with Google, Atlassian, and Microsoft.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive transformation. The company emphasizes values such as innovation, passion and excellence, empowerment, initiative and ownership, and teamwork over ego, and promotes a diverse, respectful, inclusive culture in a hybrid work environment. The SMB New Logo Team role targets building long-term customer relationships by identifying target accounts, pursuing opportunities with a proactive hunter mentality, and managing a high-volume, fast-paced sales cycle from qualification to close. Responsibilities include outbound strategy development, proactive and personalized outreach, discovery, tailored demos, and contributing to a high-velocity pipeline while fostering collaboration and team culture. Requirements include 1+ years closing or 2+ years BD/SDR experience in SaaS/tech, strong multi-channel outbound capability, Salesforce familiarity, English fluency, and a hybrid Amsterdam office schedule two days per week (Tuesday and Thursday), with preferred Nordic language, Salesforce/pipeline management experience, and a BA/BS degree.

Lucid Software is a leader in AI-driven work acceleration, offering the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus to help teams turn ideas into reality and drive transformation at scale. The company values innovation, excellence, empowerment, initiative and ownership, and teamwork over ego, while fostering a diverse, respectful, inclusive culture in a hybrid work environment. The text describes an evergreen, future opportunities posting for EMEA Mid Market, seeking collaborative Account Executives to drive expansion and revenue growth across existing Mid Market accounts, with recruiters reaching out to align roles as openings arise. Responsibilities include closing business, prospecting, maintaining clients, expanding Lucid adoption, improving outbound prospecting, forecasting, becoming an expert on value propositions and personas, and upholding team SLAs. Requirements include 2+ years of SaaS sales closing experience, prospecting and closing, relationship-building, Salesforce or similar CRM experience, and English fluency, with preferred qualifications including additional European language fluency, prior SaaS sales experience, Salesforce hygiene, multitask management of prospects and opportunities, and a BA/BS degree.

Lucid Software is a leader in AI-driven work acceleration with the Lucid Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus, helping organizations streamline work and drive transformation at scale. The company upholds values of innovation, passion and excellence, individual empowerment, initiative and ownership, and teamwork over ego, while fostering a respectful, inclusive environment with a hybrid work model. The role focuses on strategic growth of Lucid’s largest customers in EMEA, requiring expert knowledge of the full collaboration suite, understanding the competitive landscape, and direct outbound sourcing to generate new pipeline across segments. Responsibilities include managing a book of accounts, creating reliable forecasts, collaborating to close open pipeline, penetrating new markets and personas, and sharing market insights with product and marketing teams. Requirements include 5+ years of SaaS sales experience (enterprise-level, with complex sales cycles), English fluency with professional Dutch, Salesforce experience, and a hybrid Amsterdam arrangement; preferred qualifications include evangelist selling, experience with sales acceleration tools, and a BA/BS.

Figma is expanding its Product Support and AI Infrastructure & Tooling to make design accessible, delivering AI-powered workflows and integrated systems that help teams move from idea to product and collaborate in real time. As a Support Engineer on AI Infrastructure & Tooling, you’ll design, build, and operationalize integrations and AI workflows that bring customer, account, product, billing, and admin context into conversations, automate complex tasks, and improve both customer and Specialist experiences. Required qualifications include 3+ years shipping integrations or internal tools, strong backend skills (Ruby, Python, Go, PostgreSQL), hands-on API and data-flow work, and experience with LLM-powered workflows and responsible deployment practices, plus the ability to translate ambiguous problems into practical, measurable solutions. Nice-to-haves include familiarity with platforms like Zendesk or Decagon, agent-assist tooling, AI observability, internal tools, and a background in related engineering or operations roles. Figma offers equity, a base salary range of $169k-$245k, comprehensive benefits, and commitments to diversity and accommodations; candidates must keep cameras on during video interviews, onboarding is in person, and accommodations are available per the Candidate Privacy Notice.

Figma is expanding its Product Support team with AI-driven capabilities to make design accessible and accelerate collaboration. The AI Infrastructure & Tooling group builds integrations and intelligent automation that connect Decagon, Zendesk, Figma admin tooling, and other data sources to bring context into conversations and automate workflows. The role requires 3+ years shipping integrations or internal tools, strong backend skills (Ruby, Python, Go, PostgreSQL), and experience with LLM-powered workflows, with preferred familiarity with support platforms and AI observability. You’ll design, build, and operate AI-powered workflows, define success metrics, ensure guardrails and governance, and collaborate across Engineering, Analytics, Security, Programs, and Support, with a US-hub or remote-US eligibility and a base salary of $169,000–$245,000. Figma emphasizes diversity and equal opportunity, offers equity and a broad benefits package, accommodations for disabilities, and requires cameras on during video interviews and in-person onboarding, along with candidate privacy protections.

Figma is growing its team to make design accessible to all, with a platform that supports ideas from brainstorming to prototype, code translation, and real-time collaboration globally. The Recruiting Manager will lead a team of recruiters supporting Sales in North America, partnering with hiring leaders to develop staffing strategies and implement top-tier recruiting practices. Responsibilities include mentoring recruiters, aligning resources with business needs, building a talent brand, creating scalable team structures, championing inclusion and diversity, and refining recruiting practices across the organization. Requirements include 7+ years of recruiting experience (including 2+ years in people management), proven SaaS sales recruiting expertise, strong stakeholder leadership, data-driven decision making, and experience scaling recruiting functions, with diversity and ambiguity tolerance as pluses. The role is full-time, located in a US hub or remote in the US, with a base salary range of $169,000–$245,000 plus equity and comprehensive benefits.

Figma is hiring a Recruiting Manager to lead a team of recruiters supporting Sales in North America, with the option to work from US hubs or remotely in the United States. The role includes mentoring recruiters, aligning resources with business needs, partnering on a talent brand, creating scalable team structures, and advancing inclusion and diversity. Requirements include 7+ years of recruiting in a fast-paced environment with 2+ years in people management, SaaS sales recruiting experience, strong stakeholder/executive collaboration, and data-driven decision making; experience building and scaling recruiting functions is a plus. The compensation package features an annual base salary range of $169,000–$245,000, equity, and a broad benefits program, with details determined by location and qualifications. Figma is an equal opportunity employer with accommodations for disabilities, requires camera-on during video interviews to ensure integrity and personal connection, and requires in-person onboarding, with candidate data processed per the Candidate Privacy Notice.

Figma is seeking a strategic Recruiting Manager to lead a team of recruiters and sourcers across multiple corporate functions, working from a US hub or remotely in the United States, and to shape long-term strategy, scale, and a belonging-focused culture. The role involves partnering with business leaders, building efficient team structures, driving best-in-class recruiting practices, and managing complex change initiatives to support hyper-growth. Requirements include 10+ years in recruiting with at least 4 years of people management, experience partnering with senior leaders and executives, multi-unit hiring up to Senior Director, and a deep commitment to diversity, belonging, and inclusion; experience leading recruiting for Finance, Legal, People, Talent, or Marketing is a plus. The position offers a base salary range of $204,000–$296,000 USD plus equity and a comprehensive benefits package, with a strong emphasis on equal opportunity and accommodations for disabilities. Figma requires camera-on during video interviews and in-person onboarding, and applicants should review the Candidate Privacy Notice.

Figma is expanding its team to make design accessible, offering a platform that supports brainstorming, prototyping, translating designs into code, and AI-powered iteration for real-time collaboration worldwide. The Recruiting Manager will lead and grow a team of recruiters and sourcers, partner with business leaders to set long-term hiring strategies, and scale recruiting across multiple corporate functions. Responsibilities include mentoring the team, optimizing structure and practices, owning complex change initiatives, and championing a values-led, inclusive culture. Requirements include 10+ years in recruiting in competitive environments, 4+ years of people management, experience partnering with senior leaders, and a track record of scaling recruitment for hyper-growth; experience in Finance, Legal, People, Talent or Marketing is a plus, with a strong focus on diversity, belonging, and inclusion. The package features an annual base salary of $204k–$296k, equity, and comprehensive benefits (health/dental/vision, retirement with company contributions, parental leave, mental health and wellness, PTO), plus accommodations for applicants with disabilities; the process includes a requirement to keep cameras on during video interviews, in-person onboarding, and is governed by Figma’s Candidate Privacy Notice.

Tempo serves 30,000+ customers, including a third of the Fortune 500, offering an integrated suite for time management, resource planning, budgeting, roadmapping, program management, and reporting, and has evolved from a time-tracking tool into the #1 time-management add-on for Jira within the Atlassian ecosystem. Tempo's Workforce Intelligence is its ambitious new product that aims to define how enterprises measure the value of AI-powered work by linking AI telemetry to Jira work items, potentially becoming the execution-layer system of record for AI ROI across Tempo's suite. The Senior Product Manager will own the Workforce Intelligence strategy, roadmap, and commercial outcomes, working in ambiguity to turn hypotheses into tested decisions and coordinating across engineering, design, sales, marketing, customer success, finance, and other Tempo teams. Responsibilities include building attribution and reporting, establishing agent governance and benchmarking, shaping data strategy across AI providers and Tempo products, and partnering with related product managers to create connected customer value while maintaining clear ownership. In the first year, success means shipping trusted attribution that engineers and executives rely on, validating governance benchmarks with customer data, running experiments that replace unproven ideas, and becoming the reference point for AI value storytelling across the organization, while Tempo offers a remote-first culture, unlimited vacation, strong benefits, and an inclusive, equal-opportunity workplace.

Tempo is a global software company with over 30,000 customers, including a third of Fortune 500, offering integrated solutions for time management, resource planning, budgeting, roadmapping, program management, and reporting, and it has evolved from a 2007 time-tracking project to the #1 time management add-on for Jira within the Atlassian ecosystem. Its new product, Tempo Workforce Intelligence, aims to define how enterprises measure and manage the value of AI-powered work by connecting AI telemetry to Jira work items, potentially becoming the execution-layer system of record for AI ROI. The Senior Product Manager role will lead Workforce Intelligence from an emerging product to a durable business, owning strategy, roadmap, and commercial outcomes, with success measured by adoption, retention, and revenue and requiring the ability to make decisions amid ambiguity and align cross-functional teams. The ideal candidate has 5+ years of B2B SaaS product management, deep discovery and experimentation experience, technical fluency with Jira and the Atlassian ecosystem, and strong AI product judgment, along with clear, customer-focused communication to engineers, sales, and executives. Tempo offers a remote-first environment with unlimited vacation in most locations, comprehensive benefits, professional development, and a commitment to equal opportunity employment, inviting candidates to apply and join a culture of impact, innovation, collaboration, and growth.

Deviniti is hiring a Senior Enterprise Account Manager to drive growth within an existing enterprise client portfolio, owning end-to-end strategy and revenue for complex IT solutions (AI/GenAI, data, software development, Atlassian) with deal sizes above PLN 0.5M, in collaboration with executive leadership. The role focuses on expanding within current clients through upsell and cross-sell, shaping account development plans, and having real influence on sales direction with regular client meetings. Key responsibilities include building multi-level relationships (including C-level), designing growth strategies, leading advanced sales discussions and RFP/RFI processes using MEDDPICC, and maintaining CRM data while collaborating with internal teams. Requirements include at least 8 years of experience, 5+ years in IT/SaaS enterprise sales or account management, experience with regulated industries, MEDDPICC or similar methodologies, and strong English skills (B2+/C1), with success factors such as assertiveness, curiosity, analytical thinking, and ability to engage senior stakeholders. Perks include high autonomy, direct access to leadership, hybrid work in Warsaw or Wrocław, comprehensive benefits, and a five-stage recruitment process, underscored by a broad solution portfolio and commitments like whistleblower protection and wellbeing initiatives.

Deviniti is seeking a Sales & Strategy Advisor (Head of Sales) who aims to impact how clients’ teams work and build competitive advantage, leveraging Atlassian tools (Jira, Confluence, Atlassian Rovo, Teamwork Graph) and AI to form the modern workplace foundation. The role drives Professional Services sales targets, leads the sales team with dedicated Pre-sales and Delivery units, and shapes service offerings for the Atlassian Cloud transformation, owning performance targets and guiding strategic changes in the B2B Enterprise portfolio. You’ll collaborate closely with executive leadership and C-level stakeholders, bridging sales, delivery, and marketing as a strategic partner to the Board, in a flexible remote-first setup with occasional on-site visits. Ideal candidates have hands-on strategic account experience, cross-selling and LTV expertise, a record of selling complex B2B IT services to Enterprise clients, mature leadership, knowledge of modern sales methodologies (MEDDPICC or Solution Selling), strong communication skills, English C1 and Polish C2, with Atlassian ecosystem familiarity being a plus. The role offers real business impact, high autonomy, direct access to executives, and comprehensive benefits (private healthcare, MultiSport, flexible hours, remote options, training budgets, wellbeing). The recruitment process comprises five stages: CV screening, a 30-minute phone interview, a recruitment interview in Wrocław, a C-level interview, and a final decision about two weeks after the interview.

Deviniti is hiring an Enterprise Transformation Advisor (AI & Digital) for a remote role with frequent travel, joining a team of Digital Transformation experts led by Tomasz Stankiewicz and focusing on strategic advisory, AI, digital transformation, and Deviniti solutions. The role is not a management position but a business and strategic partner to large enterprise organizations, building trusted relationships with C-level stakeholders and guiding clients from diagnosing challenges through strategy design to implementing changes with measurable impact. You’ll work within Deviniti’s Digital Transformation unit to help Poland’s largest organizations adopt AI and optimize processes, shaping business strategy while collaborating with leaders across functions. Requirements include at least 10 years in enterprise environments, experience leading transformations in financial, banking, or energy sectors, technical knowledge of ML/GenAI, cloud architectures (Azure/AWS/GCP), SDLC/PDLC, IT risk management, and the ability to run workshops with executives and ensure safe AI adoption; nice-to-have items include certifications (TOGAF, ITIL, PMP, Lean Six Sigma) and business-case development experience. Deviniti also highlights wellbeing, skill development, feedback culture, flexible working, CSR through the “Deviniti Cares” program, and a five-stage recruitment process (CV screening, phone interview, online interview, on-site interview in Wrocław, and final decision about two weeks after the interview).

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity to support employees’ family and personal goals. They’re seeking a Mid-Market Pre-Sales Solutions Engineer who acts as a solution expert in the sales cycle to solve enterprise customers’ problems and help close deals. Atlassian serves over 250,000 customers, including NASA and IBM, and emphasizes value selling and a “play as a team” culture where employees work with Atlassian, not for it. Responsibilities include partnering with direct sales, partners, and larger account teams, conducting discovery, mapping customer needs to Atlassian products, identifying cross-product opportunities, and delivering compelling value-based demos. You’ll also guide customers’ technical needs, build partnerships with account executives, capture product feedback, and continuously learn about pre-sales, products, and processes.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, enabling employees to better support family, personal goals, and other priorities. Atlassian is looking for a Pre-Sales Solutions Engineer for the Mid-Market segment who will be a solution expert in the sales cycle, addressing enterprise customers' hardest business problems with Atlassian products and helping close deals, with a focus on value selling. The company serves more than 250,000 customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, and aims to transform outcomes by combining products into enterprise solutions, with a culture that emphasizes teamwork and employees working with Atlassian, not for Atlassian, and strong earnings potential in cloud and AI opportunities. Responsibilities include partnering with direct sales, partners, and larger account teams; guiding customer discovery and mapping state and business problems to Atlassian offerings; identifying cross-product opportunities; leading value-based demonstrations; and guiding technical buy-in while maintaining strong partnerships with account executives and tracking pipeline. Additional duties involve gathering product feedback and competitive intelligence, advocating for internal product development, and continuously learning to refine pre-sales, product, solution, and platform knowledge and processes.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a hybrid arrangement, and hires globally wherever they have a legal entity. The role is an enterprise solution seller focused on Strategy Collection and JPD, collaborating with C-level executives to drive new business and expansion. Responsibilities include exceeding bookings and OKRs, developing strategic plans for land-and-expand across AMER/APAC, and closing complex six- to seven-figure SaaS transactions while building strong CXO relationships. You will also partner with Account Executives, Solution Engineers, Advisory Services, SDRs, and channel partners to drive pipeline and deliver forecasts while staying attuned to market shifts and competition. Qualifications require 12+ years of enterprise cloud software sales experience, expertise in Strategic Portfolio Management/PPM/ERP/CRM, a track record of meeting targets, CXO relationship leadership, collaboration, and a BS/MS in business, IT, or a related field.

Atlassian offers flexible work locations—office, home, or a hybrid—giving employees more control to support family and personal goals. They hire in any country where the company has a legal entity. The role is an Enterprise solution seller focused on Strategy Collection and JPD, working with C-level executives to drive new business and expansion. Responsibilities include exceeding bookings and OKRs, developing strategic plans for land-and-expand across AMER/APAC, closing complex six- to seven-figure SaaS deals, building strong CXO relationships, partnering with AEs, SEs, Advisory Services, SDRs, and channel partners, and delivering forecasts while tracking markets and competition. Qualifications require 12+ years of enterprise SaaS sales, expertise in Strategic Portfolio Management, PPM, ERP, or CRM, a proven track record of meeting targets, CXO relationship leadership, collaboration with teams, and a BS/MS in business or IT.

Atlassian supports flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity. The Atlassian Advisory Services team is globally distributed and helps large strategic and enterprise customers realize value from Atlassian products through trusted advisory support. The company is hiring a non-managerial Solution Consultant for the Public Sector advisory team to deliver strategic technical guidance and drive value realization for clients who purchase Advisory Services. Responsibilities include aligning with peers to achieve strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities, creating prescriptive guidance, and traveling up to 30% for internal and customer events. Requirements include 4-6 years in SaaS, 2+ years in customer-facing roles, expertise in the Data Center platform and Teamwork Foundations, Atlassian tooling experience, English fluency (additional languages helpful), and nice-to-haves such as time zone alignment, cross-team collaboration, and experience with large customers in consulting or technical roles.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees control over family and personal goals. - The Atlassian Advisory Services team is a globally distributed group of experts that partners with strategic and enterprise clients to deliver successful outcomes and maximize the value of Atlassian investments. - They are hiring a non-managerial Solution Consultant for the Advisory Services Public Sector team to provide expert guidance, align product capabilities with business goals, and help expand service and product adoption. - Responsibilities include collaborating to achieve strategic outcomes, solving client challenges with Atlassian products, creating prescriptive guidance, advocating for customer needs across internal teams, and traveling up to 30% domestically or internationally. - Required background includes 4-6 years in SaaS, 2+ years in customer-facing roles, DC Platform expertise (Jira, Confluence, etc.), Teamwork Foundations skills, experience with Jira/Confluence/Loom/Rovo, English fluency (second language a plus), and nice-to-haves such as aligning with US timezones and cross-team experience with large customers.

- Atlassian supports flexible work locations (office, home, or hybrid) and hires worldwide where it has a legal entity to help employees balance family, personal goals, and other priorities. - The Atlassian Advisory Services team is globally distributed and works with strategic and enterprise customers to deliver trusted guidance and maximize value from Atlassian investments. - Atlassian is hiring a non-managerial Solution Consultant for the Public Sector Advisory Services team who will act as a technical expert, help customers realize value, scale guidance, and showcase successes to drive adoption. - Key responsibilities include aligning with peers to deliver strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities, creating prescriptive guidance, collaborating across Atlassian teams, and traveling up to 30% domestically or internationally. - Required qualifications include 4-6 years in SaaS, 2+ years in customer-facing roles, deep expertise with the Data Center Platform and Teamwork Foundations, strong collaboration and metrics experience, fluency in English (a second language is a plus), and nice-to-haves such as aligning with US timezones, coaching practices, cross-team project experience, and experience with large customers in a consulting or technical role.

Atlassian allows employees to choose their work location, whether in an office, from home, or a hybrid arrangement. This flexibility gives Atlassians greater control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder for a job description: [[INSERT JOB DESCRIPTION HERE]]. Overall, it highlights flexible work options and international hiring reach within the "Working at Atlassian" context.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid setup. This flexibility gives Atlassians more control to support their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity, enabling global recruitment. The text includes a placeholder indicating where a job description would be inserted. Overall, the message emphasizes flexible work arrangements and international hiring capabilities.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder for inserting a job description. Overall, the message emphasizes flexible work locations and the ability to hire globally.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians greater control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder indicating that a job description will be inserted. Overall, the message emphasizes flexible work arrangements and a global hiring reach.

Atlassian allows employees to choose where they work, whether in an office, from home, or a combination of the two. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder, [[INSERT JOB DESCRIPTION HERE]], indicating a section to be added. Overall, the message emphasizes flexible work options and broad international hiring.

Atlassians can choose where they work, whether in an office, from home, or a combination of the two. This arrangement gives employees more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for inserting a job description. Overall, the message highlights flexible work options and global hiring capability.

Atlassian supports flexible work locations and hires in any country where the company has a legal entity. The future team is the Search Platform, responsible for powering Rovo Search and making Atlassian knowledge across internal and external apps searchable securely, reliably, and at an insanely fast, globally scalable, cost-efficient, enterprise-grade search infrastructure. As the technical lead for Search Serving, you will set its long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML where it meaningfully improves the search experience. Responsibilities include designing high-quality agentic search systems, establishing the long-term architecture for online retrieval and ML inference, turning advances in information retrieval and ML into production systems with rigorous evaluation, experimentation, and safe rollout, and advancing production inference for embedding, retrieval, and ranking models through batching, quantization, distillation, compilation, and hardware-aware optimization. You will lead cross-team initiatives, mentor senior engineers, align technical and product leaders around long-term direction, and elevate the team's and platform's maturity toward best-in-class agentic development practices to accelerate innovation.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where they have a legal entity. The Search Platform team powers Rovo Search and enterprise data search across Atlassian and external apps, with a mission to make knowledge securely, quickly, and scalably searchable through an enterprise-grade infrastructure. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities to improve the search experience. Responsibilities include designing and building high-quality agentic search systems, setting the architecture and roadmap for online retrieval, index serving, query processing, and ML inference, and turning advances in IR and ML into production through rigorous evaluation, experimentation, and safe rollout practices. They will also drive production inference for embedding, retrieval, and ranking models with techniques like batching, quantization, distillation, and hardware-aware optimization, while leading cross-team initiatives, mentoring engineers, and elevating team and platform maturity to accelerate innovation.

At Atlassian, employees can work from the office, from home, or a mix, and the company hires in any country where it has a legal entity. The Search Platform team powers Rovo Search, enabling secure, fast, scalable knowledge discovery across Atlassian and external apps. As the technical lead for Search Serving, you will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing and building high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation, and defining the architecture and roadmap for online retrieval, index serving, query processing, and ML inference, while turning advances in IR and ML into production through rigorous evaluation and incremental adoption. You will advance production inference for embedding, retrieval, and ranking models through techniques such as batching, quantization, distillation, compilation, and hardware-aware optimization, lead cross-team initiatives, mentor engineers, and raise platform maturity to accelerate innovation.

Atlassians can choose office, remote, or hybrid work, giving them flexibility to support family, personal goals, and other priorities, and the company hires people in any country where it has a legal entity. The future team is the Search Platform, which powers Rovo Search and knowledge discovery for humans and agents across Atlassian’s enterprise data, including external apps. Its mission is to make all customers’ knowledge searchable securely, quickly, and at scale through an insanely fast, globally scalable, cost-efficient enterprise-grade search infrastructure. As the technical lead for Search Serving, you will set the long-term technical direction and be accountable for end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product on applying ML capabilities. Your responsibilities include designing high-quality agentic search systems, defining architecture for online retrieval, index serving, and ML inference; turning advances in information retrieval and machine learning into production systems through evaluation and safe rollout; advancing production inference with techniques like batching and quantization; and leading cross-team initiatives, mentoring engineers, and maturing the platform to accelerate innovation.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where we have a legal entity, enabling Atlassians to balance family, personal goals, and other priorities. The Search Platform mission is to power world-class, trusted cross-product knowledge search and discovery for people and agents across all Atlassian surfaces, with agentic search pushing AI context-search boundaries. This role will lead the search and ML architecture that powers search quality, latency, cost, and reliability at scale and set the department’s technical direction. Responsibilities include setting technical direction for ML-based search serving (ranking models, retrieval architectures, inference pipelines, serving infrastructure), driving measurable improvements, pursuing moonshots, and leading end-to-end model optimisation (quantisation, distillation, batching, hardware-aware inference). It also involves defining ML systems standards (evaluation, shadow traffic testing, rollout safety, production observability), mentoring senior engineers, and partnering across teams to align roadmaps and translate ambiguous problems into clear, measurable technical bets.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity. The Search Platform aims to power trusted cross-product knowledge search for people and agents across Atlassian surfaces, with agentic search pushing to redefine context search for AI. The role will lead the search and ML architecture to optimize search quality, latency, cost, and reliability at scale and set the department’s technical direction. Responsibilities include setting technical direction for ML-based search serving (ranking models, retrieval, pipelines, and serving infra), driving improvements through experiments, pursuing high-impact moonshots, end-to-end model optimization, and enforcing ML system standards. It also involves mentoring senior engineers, collaborating with Search Quality, ML Platform, and product teams to align roadmaps, and translating ambiguous problems into clear technical bets with measurable success criteria.

Atlassians can work anywhere—office, home, or a hybrid arrangement—and Atlassian hires globally wherever they have a legal entity. The Search Platform’s mission is to power trusted cross-product knowledge search for people and agents across Atlassian’s surfaces, with agentic search pushing the boundaries of AI context search. The role will lead the search and ML architecture that powers search quality, latency, cost, and reliability at scale and set the technical direction for the department. Responsibilities include setting technical direction for ML-based search serving (ranking models, retrieval architectures, inference pipelines, and serving infrastructure), driving measurable improvements through rigorous experimentation, pursuing moonshots, leading end-to-end model optimization, defining ML standards, mentoring engineers, and partnering across teams to align roadmaps. It also requires translating ambiguous problems into clear technical bets with measurable success criteria.

Atlassian supports flexible work locations—office, home, or a hybrid—so employees can balance family and personal priorities, and hires can occur in any country where the company has a legal entity. The Search Platform aims to power trusted cross-product knowledge search and discovery for people and agents across Atlassian’s surfaces, with agentic search pushing the boundaries of what today’s search systems can do and redefining context search for AI. The role will lead the search and ML architecture that powers search quality, latency, cost, and reliability at scale, and will set the department’s technical direction. Responsibilities include setting technical direction for ML-based search serving (ranking models, retrieval architectures, inference pipelines, and serving infra), driving improvements through rigorous experimentation, pursuing moonshots, leading end-to-end model optimization, and defining ML systems standards while mentoring senior engineers. It also requires partnering across teams to align roadmaps and unblock high-impact work, and translating ambiguous problems into clear technical bets with measurable success criteria.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever it has a legal entity. The Search Platform’s mission is to power trusted cross-product knowledge search for people and agents across Atlassian surfaces, with agentic search aiming to redefine AI context search. The role leads the search and ML architecture that drives quality, latency, cost, and reliability at scale and sets the department’s technical direction. Responsibilities include setting ML-based search direction (ranking models, retrieval, inference pipelines, and serving infrastructure), driving measurable improvements through experiments, pursuing ambitious moonshots, and end-to-end model optimization. It also involves defining ML system standards, mentoring engineers, and partnering with Search Quality, ML Platform, and product teams to align roadmaps, unblock work, and translate ambiguous problems into measurable technical bets.

Atlassian offers flexible work locations (office, home, or hybrid) and hires people in any country where they have a legal entity, giving employees control over family, goals, and priorities. The Rovo Experiences & Growth organization builds customer-facing AI experiences across Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients to help people find, understand, and act on their organization’s knowledge across web, mobile, desktop, and browser extensions. It leads technical strategy and architecture for Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, ensuring experiences are scalable, reliable, secure, cohesive, and shapes the convergence of Search and Chat to enable multi-step interactions and actions. It develops rich, reusable foundations that work across Atlassian products and connected third-party tools, reduces fragmentation, enables rapid experimentation, contextual activation, personalization, measurement, and continuous improvement, and partners with product, design, data science, ML, and engineering to define a high-impact roadmap. It drives complex, cross-organizational initiatives, manages technical negotiations and dependencies, raises the bar for quality, performance, trust, and operational excellence, standardizes scalable AI development and deployment, and mentors senior engineers to promote technical excellence, inclusive collaboration, and continuous learning.

Atlassian provides flexible work options (office, remote, or hybrid) and hires globally wherever there is a legal entity, enabling employees to support family and personal goals. The Rovo Experiences & Growth organization creates customer-facing AI experiences through Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, delivering trusted, consistent AI experiences across web, mobile, desktop, and browser extensions to support Rovo in daily work. The role leads technical strategy and architecture across Rovo components, ensuring scalability, reliability, security, and cohesion, and shapes the convergence of Search and Chat with shared patterns for information retrieval, contextual understanding, multi-step interactions, and action. It drives development of reusable foundations across Atlassian products and third-party tools, reduces fragmentation, enables rapid experimentation, personalization, measurement, and continuous improvement, and partners with product, design, data science, machine learning, and engineering leaders to define a high-impact roadmap. The position also leads cross-organizational initiatives, standardizes AI development and deployment into scalable, composable, repeatable approaches, raises quality and operational excellence, and mentors senior engineers to foster technical excellence, inclusive collaboration, and continuous learning.

At Atlassian, you can choose where to work—office, home, or a mix—and the company hires globally wherever there’s a legal entity to support family and personal goals. The way people find and use knowledge is changing: AI agents need to understand goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. Atlassian is building an intelligence layer called the context-layer across the enterprise ecosystem, combining information retrieval, machine learning, LLMs, agentic systems, and large-scale distributed systems. The team tackles problems from state-of-the-art retrieval and multi-step search to tool intelligence, context synthesis, and agent-facing search infrastructure, offering a chance to shape search in the agent era. You’ll help AI agents discover information, reason over enterprise knowledge, and choose the right capabilities across areas like Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, while navigating enterprise-scale constraints such as permissions, freshness, latency, trust, data heterogeneity, and multi-tenancy.

At Atlassian, employees can work from anywhere and the company can hire in any country with a legal entity. The way knowledge is used at work is changing, with AI agents needing to understand goals, decide how to search, reason across sources, assemble trustworthy context, and take action, all enabled by a context layer across Atlassian and the broader enterprise ecosystem. The team operates at the intersection of information retrieval, machine learning, LLMs, agentic systems, and large-scale distributed systems, tackling problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure. If you’re excited about defining what search looks like in the agent era, this is an opportunity to work on problems where many of the best solutions are yet to be invented. You’ll help build systems that enable AI agents to discover information, reason over enterprise knowledge, and choose the right capabilities, across areas such as Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all while navigating enterprise-scale constraints like permissions, freshness, latency, trust, heterogeneous data, and multi-tenant environments.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. The Senior Machine Learning Systems Engineer on the Search Platform team will own the design, development, and production deployment of ML systems powering search across Atlassian products like Jira, Confluence, and Rovo. Responsibilities include designing scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search), delivering ML components end-to-end across regions and tenants, and meeting strict SLO targets for availability, latency, and relevance. The role also covers ML model development and serving (neural rankers, embeddings, reranking), integrating models with serving frameworks such as Triton and PyTorch, collaborating with researchers, and building agentic/RAG-focused retrieval systems with partners like Rovo and AI platform teams. Additional focus areas include operational excellence and cost discipline (observability, FinOps, on-call, capacity planning) and cross-functional collaboration (mentoring, design reviews, roadmaps, and team OKRs).

At Atlassian, employees can work from an office, home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. The Senior Machine Learning Systems Engineer on the Search Platform owns the design, development, and production deployment of ML systems that power search experiences across Jira, Confluence, and Rovo. Responsibilities include building scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and delivering ML components end-to-end from experimentation to production across multiple regions and tenants, with high throughput, low latency, and strict SLO targets. The role also focuses on ML model development and serving (neural rankers, embedding models, reranking) integrated into serving frameworks like Triton and PyTorch, collaborating with researchers to production-grade monitoring and evaluation, and designing agentic/RAG retrieval systems with personalized indexes and multi-step workflows in partnership with Rovo and AI platform teams. Operational excellence and cost discipline are emphasized through observability, incident response, FinOps-driven cost optimization, capacity planning, and cross-functional collaboration to define roadmaps and OKRs, while mentoring junior engineers and promoting engineering best practices.

Atlassian lets employees choose where to work—office, home, or a hybrid—and hires in any country where the company has a legal entity. The Senior Machine Learning Systems Engineer on the Search Platform will own the design, development, and production deployment of ML systems that power search across Jira, Confluence, and Rovo. They will design scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and drive end-to-end ML component delivery across regions and tenants to meet strict SLOs for availability, latency, and relevance. Responsibilities include ML model development and serving (neural rankers, embeddings, rerankers), integrating models into serving infra with frameworks like Triton and PyTorch, collaborating with researchers to productionize models with robust monitoring and evaluation, and building agentic/RAG retrieval systems with personalized indexes and grounding pipelines in partnership with Rovo and AI platform teams. The role also emphasizes operational excellence and cost discipline through observability, incident response, FinOps for vector search and ML fleets, on-call readiness, capacity planning, and cross-functional collaboration to define roadmaps, mentor junior engineers, review designs, and promote engineering best practices.

At Atlassian, you can work in an office, from home, or a mix, giving you control over family and personal priorities, and the company hires in any country with a legal entity. As a Senior Machine Learning Systems Engineer on the Search Platform team, you will own the design, development, and production deployment of ML systems that power search across Jira, Confluence, and Rovo. You will design and implement scalable search serving infrastructure—retrieval pipelines, vector indexing, and embedding-based semantic search—and own end-to-end ML component delivery across multiple regions and tenants to meet high SLO targets. The role includes ML model development and serving (neural rankers, embeddings, reranking) with integration into serving infrastructure via Triton and PyTorch, collaborating with researchers to productionize models with robust monitoring, plus designing agentic and RAG-focused retrieval systems and partnering with Rovo and AI platform teams to support AI agents at scale. You will drive operational excellence and cost discipline through observability, incident response, FinOps, on-call practices, and capacity planning, while collaborating cross-functionally with engineering leads, PMs, and stakeholders, mentoring junior engineers, and contributing to design reviews and engineering best practices.

Atlassian offers flexible work arrangements and hires in any country where it has a legal entity. As a Senior Machine Learning Systems Engineer on the Search Platform, you will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design scalable search serving infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and deliver ML components end-to-end across regions and tenants while meeting strict SLOs for availability, latency, and relevance, including building production ML models (neural rankers, embeddings, reranking) and integrating them into serving infrastructure with Triton and PyTorch. You will also design agentic and RAG retrieval systems with personalized indexes and grounding pipelines, collaborating with Rovo and AI platform teams to evolve search as a foundational layer for AI agents. You will drive operational excellence and FinOps-driven cost discipline through observability, incident response, capacity planning, and on-call practices, while working cross-functionally to define roadmaps, mentor junior engineers, and uphold engineering best practices and OKRs.

Atlassian is seeking a Senior Machine Learning Engineer in its Search & Intelligence organization to build intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power AI products and innovation. The company offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity. The role involves leading end-to-end ML projects—from problem definition and data exploration to model development, experimentation, deployment, and ongoing optimization—and designing scalable data and modeling approaches for areas like information retrieval, search ranking, personalization, NLP, deep learning, and large language models. You will design robust architectures that meet requirements for quality, latency, scale, privacy, and cost, conduct rigorous experiments and evaluations, and mentor other ML engineers while contributing to technical strategy and best practices. Collaboration with product, engineering, data science, analytics, and platform teams is essential to translate research into production-quality AI capabilities and to drive improvements in model performance, operational efficiency, and customer outcomes.

Atlassian is seeking a Senior Machine Learning Engineer to join the Search & Intelligence organization to power Atlassian’s AI products and accelerate AI innovation across the company. In this role you will lead the development and productionization of advanced ML systems that improve how people discover, understand, and act on knowledge across Atlassian, spanning the full ML lifecycle from problem definition to deployment and ongoing optimization. You will partner closely with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing, implementing, and deploying state-of-the-art ML algorithms across production environments; owning projects end-to-end; building scalable data and modeling approaches; and designing architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost, across areas such as information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications; plus rigorous experiments and evaluations. You will communicate technical decisions and results clearly to technical and non-technical audiences, contribute to technical strategy and best practices, foster a culture of experimentation and continuous learning, and Atlassian supports flexible work arrangements and hires in any country where it has a legal entity.

Atlassian is looking for a Senior Machine Learning Engineer in the Search & Intelligence organization to build intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company. Atlassians can work in an office, from home, or a mix, and the company can hire in any country where it has a legal entity. The role involves leading the development and productionization of advanced ML systems across the full lifecycle—from problem definition and data exploration to model development, experimentation, deployment, and ongoing optimization—while partnering with product managers, software engineers, data scientists, and other stakeholders. Responsibilities include designing and implementing state-of-the-art ML algorithms for production, building scalable data and modeling approaches, creating robust architectures for quality, latency, scale, privacy, and cost, and working on information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications; plus conducting rigorous experiments and collaborating to integrate AI into products and translate research into reliable systems. The role also entails mentoring other ML engineers, contributing to technical strategy and best practices, and promoting a culture of experimentation, continuous learning, inclusive collaboration, and iterative delivery, while communicating decisions clearly to technical and non-technical audiences.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence team to build AI-powered experiences, models, evaluation frameworks, and data pipelines that accelerate AI across the company, with work-from-anywhere options and eligibility to hire in any country where Atlassian has a legal entity. The role involves leading end-to-end ML development and productionization—from problem framing and data exploration through model development, experiments, deployment, and ongoing optimization—collaborating with product managers, engineers, and data scientists. You will design scalable architectures and state-of-the-art algorithms for production systems across information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, prioritizing quality, latency, scale, privacy, and cost. Responsibilities include designing rigorous experiments and evaluations, integrating AI capabilities into Atlassian products, translating research into production-ready systems, and mentoring other ML engineers while shaping technical strategy and best practices. You will contribute to a culture of experimentation and continuous learning, work with cross-functional teams to improve performance, efficiency, developer experience, and customer outcomes, and communicate trade-offs and results clearly to technical and non-technical audiences.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, evaluation frameworks, and data platforms powering Atlassian’s AI products. Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end from problem definition to deployment and continuous improvement, with evaluation as a first-class activity. You will design evaluation-driven development processes, build evaluation datasets, benchmarks, and pipelines (for search, RAG, chat, and agentic systems), conduct offline and online assessments, and design scalable architectures that balance quality, latency, privacy, and cost. You’ll apply techniques across information retrieval, NLP, deep learning, and large language models, communicate results to diverse audiences, mentor engineers, and contribute to ML best practices.

Ats Atlassian is hiring a Senior Machine Learning Engineer for the Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for its AI products, with flexible work options and hires in any country where Atlassian has a legal entity. You will develop and productionize ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end from problem definition to deployment and continuous improvement. A key part of the role is making evaluation a first-class activity, including defining quality, building evaluation datasets and benchmarks, analyzing model behavior, and using results to guide product and engineering decisions. You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, and you will independently solve complex problems, contribute to technical direction, and mentor other engineers. Responsibilities include designing evaluation-driven development processes, building evaluation datasets and pipelines for search, RAG, chat, and agentic systems, conducting offline and online evaluations and error analysis, designing scalable architectures, applying modern techniques in information retrieval, embeddings, NLP, deep learning, and large language models, and communicating technical decisions clearly to technical and non-technical audiences.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering Atlassian’s AI products. The company supports flexible work arrangements and hires in any country where it has a legal entity. You will own projects across the ML lifecycle—from problem definition and data development to experimentation, deployment, monitoring, and continuous improvement—with an emphasis on making evaluation a core part of AI development. Responsibilities include building production ML models for search, retrieval, ranking, recommendations, conversational systems, and agentic workflows; creating evaluation datasets, benchmarks, regression suites, and performing offline, online, human, and model-based evaluations; and mentoring other engineers. You’ll collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, design scalable architectures balancing quality, reliability, latency, privacy, and cost, and apply modern IR, NLP, embeddings, deep learning, and LLM techniques while clearly communicating decisions.

- Atlassian is seeking a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering Atlassian’s AI products. - Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. - The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects across the full ML lifecycle with a strong emphasis on evaluation. - You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, independently solving complex problems and mentoring others. - Responsibilities include building end-to-end ML models, designing evaluation-driven development with quality metrics and benchmarks, creating evaluation datasets and pipelines, conducting offline/online/human and model-based evaluations, designing scalable architectures, applying IR/NLP/LLM techniques, and communicating decisions while advancing best practices.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the lifecycle. The role involves turning behavioral and product signals into scalable ML systems that support the growth funnel, drive engagement, and enable more relevant customer and sales experiences across surfaces such as navigation, flags, and the app-switcher. The Growth team is cross-functional (product, engineering, data science, analytics, and product operations) and uses experimentation and intelligent orchestration to personalize what customers see at the right time, delivering durable business value from acquisition to retention. You will design, build, and operate ML systems, develop models and decisioning services for personalized recommendations and journeys, create data foundations and evaluation frameworks, and run offline and online experiments while monitoring latency, quality, and fairness. Requirements include 5+ years of ML experience, a CS-focused degree (or equivalent), strong Python with knowledge of Java/Typescript, SQL, Spark, and cloud data environments, plus experience scaling models on large data, building datasets/evals, and communicating ML concepts, with familiarity or interest in contextual bandits, uplift modeling, recommender systems, and growth-focused applications.

At Atlassian, you can work flexibly (office, home, or hybrid) while joining a Machine Learning Engineer role in the Growth organization to build intelligent, personalized experiences that create value across the customer lifecycle. The Growth team combines product, engineering, data science, analytics, and product operations to improve discovery, adoption, expansion, and retention through experimentation, personalization, and intelligent orchestration. In this role, you will design, build, and operate ML systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, moving from fragmented heuristics to a unified, value-aware ranking system guided by user context, conversion probability, and lifetime value. You will define ML strategy, partner with cross-functional teams, create datasets and features, establish evaluation frameworks, and run offline and online experiments while monitoring attribution, latency, quality, and fairness to optimize durable customer and portfolio value. Requirements include 5+ years of ML experience, a CS degree or equivalent, strong Python (and familiarity with Java/Typescript), SQL, Spark, and cloud environments (AWS/Databricks), experience with large-scale data, ability to communicate ML concepts to diverse audiences, and familiarity with contextual bandits, recommender systems, or causal inference; plus nice-to-haves in SaaS/B2B and growth-focused ML applications.

Atlassian offers flexible work options—office, remote, or hybrid—and is hiring a Machine Learning Engineer for Growth to turn behavioral and product signals into scalable ML systems that drive the growth funnel and improve customer experiences. The Growth organization brings together product, engineering, data science, analytics, and product operations to improve how customers discover, adopt, and expand Atlassian usage, using experimentation, personalization, and intelligent orchestration across the full funnel. The ML Engineer will design, build, and operate ML systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including moving from fragmented heuristics to a unified, value-aware ranking/orchestration system that uses user context, conversion probability, and lifetime value. Responsibilities include defining the strategy for evolving ML capabilities, partnering with cross-functional teams to translate growth opportunities into measurable experiments and production capabilities, and building models, datasets, evaluation frameworks, and decisioning systems while monitoring attribution, latency, quality, and fairness. Requirements include 5+ years in ML with a Bachelor's or Master's (preferably CS), strong Python and knowledge of Java/Typescript, SQL, Spark, cloud data environments (AWS/Databricks), experience with large-scale models, datasets/evals, ability to communicate ML concepts, business practicality, agile mindset, problem-solving in ambiguous settings, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; plus nice-to-have SaaS/B2B growth experience.

Atlassian offers flexible work options, allowing employees to work in office, from home, or a mix to balance business needs with family support. They are hiring a Machine Learning Engineer in the Growth organization to build intelligent, personalized experiences that help customers discover value and progress through the customer lifecycle. You’ll design, build, and operate ML systems for personalized recommendations, engagement and activation journeys, cross‑product expansion, and sales experiences, including creating data foundations, features, models, evaluation frameworks, and decisioning systems, with a move toward a unified, value‑aware orchestration system. You’ll define the ML strategy, partner with product, engineering, data science, analytics, marketing, and sales to turn opportunities into measurable experiments and production capabilities, while optimizing for durable customer and portfolio value and balancing short‑term metrics. Requirements include a bachelor’s or master’s degree, 5+ years in ML, strong Python (and familiarity with Java/Typescript), SQL, Spark, AWS/Databricks, experience building scalable models and datasets, plus the ability to communicate ML concepts to diverse audiences; familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference is also valued, with bonus for B2C/SaaS or enterprise/B2B growth experience.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the lifecycle. The Growth team combines product, engineering, data science, analytics, and product operations to personalize experiences across the funnel and move from fixed heuristics to a unified, value-aware orchestration system. In this role you will design, build, and operate ML systems for personalized recommendations, activation journeys, cross-product expansion, and sales experiences, partnering with cross-functional teams to translate growth opportunities into experiments and production capabilities. You will create data foundations, features, models, evaluation frameworks, and decisioning systems, run offline and online evaluations, monitor metrics like attribution, latency, quality, and fairness, and prioritize durable customer and portfolio value.Requirements include a bachelor’s or master’s degree, 5+ years in ML, strong Python and other languages, SQL, Spark, cloud environments, experience with large-scale ML, datasets/evals, excellent communication, agile mindset, problem solving, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; plus optional experience in consumer SaaS or enterprise spaces and growth-focused ML applications.

Atlassian offers flexible work options and is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the lifecycle. Growth uses experimentation, personalization, and orchestration to tailor the right product, feature, or next step at the right time across the funnel, delivering durable business value. The ML Engineer will design, build, and operate ML systems for personalized recommendations, activation journeys, cross‑product expansion, and sales experiences, including data foundations, models, evaluation frameworks, and decisioning systems. You will collaborate with product, engineering, data science, analytics, marketing, and sales to translate opportunities into measurable experiments and production capabilities, while monitoring attribution, latency, quality, and fairness and optimizing for long‑term customer and portfolio value. Requirements include 5+ years of ML experience, strong Python (plus Java/Typescript), SQL, Spark, and cloud environments (AWS/Databricks), experience building large-scale models and datasets/evals, excellent communication, an Agile mindset, and familiarity with contextual bandits, uplift modeling, recommender systems, or causal inference; SaaS/B2C or B2B experience is a plus.

Atlassian allows employees to choose where they work—office, home, or a mix. This flexibility gives staff greater control over family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder indicating a job description will be inserted. Overall, the focus is on flexible work arrangements and global hiring within legal boundaries.

Atlassians can choose where they work—office, home, or a combination of the two. This flexibility gives them greater control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder indicating where the job description will be inserted. Overall, the message emphasizes flexible work arrangements and broad global hiring.

- Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement. - This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. - The company can hire people in any country where it has a legal entity. - The text includes a placeholder indicating a specific job description should be inserted. - Overall, the focus is on flexible work options and international hiring as core aspects of working at Atlassian.

Atlassians can choose to work in an office, from home, or a combination of the two. This flexibility gives them more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The document includes a placeholder for the job description. Overall, the text emphasizes flexible work arrangements and international hiring within legal boundaries.

Atlassian offers flexible work options, including in-office, remote, or a hybrid arrangement. This flexibility gives employees greater control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for a job description to be inserted. Overall, the message emphasizes work flexibility and international hiring reach.

Atlassian allows employees to choose where they work—office, home, or a combination of the two. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder [[INSERT JOB DESCRIPTION HERE]] for inserting a job description. Overall, it highlights flexible work options and global hiring, with the job description yet to be added.

Atlassian supports flexible work locations and global hiring, backed by its Trusted Data Platform (TDP), which provides secure, reliable, and scalable data storage across cloud environments to meet enterprise requirements like data residency, encryption, and compliance. TDP SQL is Atlassian’s managed relational database platform that lets engineering teams build applications on relational databases without managing underlying infrastructure, availability, security, or scaling. Atlassian is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, accountable for people, strategy, execution, and operational outcomes, and to partner with senior engineers, product and program leaders, infrastructure teams, security specialists, and product organizations to evolve TDP SQL. The role focuses on building an inclusive, high-performing team; defining strategy and roadmaps; surfacing risks and dependencies; increasing platform adoption by reducing integration complexity; and owning the platform’s reliability, service levels, incident response, and compliance with enterprise needs. It also entails cross-functional leadership and economics, including managing cost posture, capacity, demand forecasting, unit economics, and making investment decisions that prioritize customer trust, platform value, and sustainable cost efficiency.

Atlassian offers flexible work options—office, remote, or hybrid—and hires across countries where it has a legal entity. The Trusted Data Platform (TDP) provides secure, reliable, scalable data storage used by product and platform teams, addressing data residency, encryption, regulatory compliance, backups, disaster recovery, and multi-cloud operations. TDP SQL is Atlassian’s managed relational database platform that lets engineering teams build on relational databases without managing underlying infrastructure, availability, security, scaling, or enterprise controls independently. Atlassian is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for the team’s people, strategy, execution, and operational outcomes, and to partner with senior engineers, product and program leaders, infrastructure teams, security specialists, and product organizations to evolve TDP SQL into a dependable, easy-to-adopt internal platform. The role emphasizes building an inclusive, high-performing organization, defining strategy and roadmap, ensuring platform reliability and enterprise requirements, managing cross-functional dependencies and costs, and driving adoption and value across stakeholders.

Atlassian supports flexible work arrangements and hires globally where it has a legal entity, with secure, scalable data storage provided by its Trusted Data Platform (TDP) and its managed relational database, TDP SQL. The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes while coordinating with product, infrastructure, security, and other Atlassian teams. The role emphasizes building an inclusive, high‑performing team, establishing operating practices, managing capacity and technical debt, and turning customer and infrastructure requirements into a clear, executable roadmap. Responsibilities include defining and executing the TDP SQL strategy, improving platform adoption, owning operational health and reliability, setting SLAs, incident response, and ensuring data residency, encryption, backup/recovery, and compliance. It also requires technical leadership across multiple cloud providers, balancing near‑term delivery with platform simplification, and cross‑functional ownership of costs, investments, and partnerships to sustain customer trust.

Atlassian supports flexible work locations and hires globally, while its Trusted Data Platform (TDP) provides secure, reliable, and scalable data storage with data residency, encryption, regulatory compliance, backup/recovery, and multi-cloud operations for product and platform teams. TDP SQL is Atlassian’s managed relational database platform, offering a supported way to build applications on relational databases without managing the underlying infrastructure, availability, security, or scaling. The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, accountable for people, strategy, execution, and operational outcomes, and to partner with senior engineers, product and program leaders, infrastructure, security, and product organizations to evolve TDP SQL into a dependable, easy-to-adopt internal platform. The role encompasses team leadership, strategy and execution, reliability and customer trust, technical and platform leadership, and cross-functional collaboration, including building an inclusive, high-performing team, managing capacity, reducing integration complexity, and guiding architectural direction across multiple cloud providers while balancing near-term delivery with platform simplification and debt reduction. It also involves owning cost posture, demand forecasting, unit economics, and cost attribution; surfacing risks early; driving platform adoption; and representing TDP SQL in engineering reviews, leadership forums, and portfolio planning to ensure customer commitments and sustainable cost efficiency.

Atlassian supports flexible work arrangements and hires globally; its Trusted Data Platform (TDP) provides secure, scalable data storage, including TDP SQL, a managed relational database for internal platforms. The company is looking for a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, in collaboration with senior engineers, product, infrastructure, security, and product orgs. Responsibilities include building a high-performing, inclusive team; defining and executing the TDP SQL strategy and roadmap; surfacing risks and trade-offs early; and increasing platform adoption by delivering production-ready capabilities. The role owns operational health—availability, durability, performance, security, compliance, recovery—and incident response, with requirements for data residency, encryption, backup/recovery, disaster recovery, and cross-cloud operation. It also covers cross-functional leadership, owning cost posture and investment decisions to balance customer trust, platform value, and sustainable cost efficiency.

- Atlassian supports flexible work arrangements globally and can hire in any country with a legal entity, while maintaining the Trusted Data Platform (TDP) for secure, scalable data storage with data residency, encryption, compliance, backup, and multi-cloud operation. - TDP SQL is Atlassian’s managed relational database platform that lets engineering teams build applications on relational databases without managing underlying infrastructure, availability, security, or scaling. - The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, owning the team’s people, strategy, execution, and operational outcomes, and partnering with senior engineers, product, security, and infrastructure to evolve TDP SQL into a dependable, easy-to-adopt internal platform. - Responsibilities include building an inclusive, high-performing team; establishing operating practices; managing capacity and trade-offs; defining and executing the TDP SQL strategy and roadmap with measurable outcomes; surfacing risks early; and driving platform adoption and reliability. - The role requires technical and cross-functional leadership across multiple cloud providers, ensuring reliability, security, compliance, data residency, and recoverability; owning cost posture and economics; and making investment decisions that prioritize customer trust and sustainable platform value.

Atlassian allows employees to work from office, home, or a mix, and hires in any country where it has a legal entity. Atlassian’s Trusted Data Platform provides secure, scalable data storage with enterprise requirements like data residency, encryption, compliance, backups, and multi-cloud operations; TDP SQL is the managed relational database platform built on that foundation. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team and own the team’s people, strategy, execution, and operational outcomes, collaborating with senior engineers, product, program, infrastructure, security, and product organizations to improve adoption and reliability. Responsibilities include building an inclusive, high-performing team, defining the strategy and roadmap, surfacing risks and dependencies, and ensuring reliability through SLAs, on-call practices, and enterprise capabilities such as data residency and disaster recovery. The role also demands technical and platform leadership across multi-cloud architectures, cross-functional collaboration, and ownership of cost posture and investment decisions that balance customer trust with sustainable cost efficiency.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Senior Manager will build and drive the Atlassian Government Cloud platform components, especially end-to-end release components, leading a team of experienced software engineers and guiding the shift from continuous delivery to operator-approved releases. You will own the government release process—planning, versioning, readiness, cutover, rollback—manage the release calendar and dependencies, define ready-to-ship criteria, and serve as the escalation point for release-impacting incidents. You will manage a 10-15 person team, set expectations, coach, hire, and build bench strength, while driving a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback, partnering with other platform teams to scale tooling. You will collaborate across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance; communicate status to senior leadership; run blameless post-release reviews, and ensure releases meet change-management and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian offers flexible work options and hires globally wherever they have a legal entity. The Senior Manager will build and drive Atlassian Government Cloud platform components, focusing on end-to-end release processes and shifting to operator-approved releases, in a hands-on leadership role involved in hard launch decisions. Responsibilities include owning the release process for government releases (planning, branching, readiness, cutover, rollback), managing the release calendar and go/no-go criteria, and serving as the escalation point for major launch incidents. You will lead a 10-15 engineer team, set expectations, develop careers, ensure on-call coverage, and drive a multi-quarter roadmap to reduce release risk using trunk-based development, feature flags, canaries, automated release gates, and one-click rollback. You will partner across Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance to align release readiness with launch readiness, communicate with leadership, run blameless post-release reviews, and ensure regulatory compliance and audit requirements without unnecessary bureaucracy.

Atlassian offers flexible work locations (office, home, or a mix) and hires in every country where they have a legal entity. The Senior Manager role focuses on building and maturing Atlassian Government Cloud platform components, with an emphasis on end-to-end release components and leading hard-launch decisions. Responsibilities include owning the government release process (planning, branching strategy, release readiness, cutover, verification, rollback), go/no-go criteria, and serving as the escalation point for release incidents, while managing a 10–15 engineer team. They will drive a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback, partnering with platform teams to scale tooling and retire toil. The role requires cross-functional collaboration, blameless post-release reviews, and ensuring compliance with change management and audit standards (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without creating unnecessary paperwork.

Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity. The Senior Manager will build and mature Atlassian Government Cloud platform release components, lead a team of 10-15 engineers, and drive the shift from continuous delivery to operator-approved releases. They will own the Government release process (planning, branch/versioning, readiness, cutover, verification, rollback) and go/no-go decisions, and serve as the escalation point for release-impacting incidents, including out-of-hours for major launches. They will define a multi-quarter roadmap to reduce release risk and cycle time (trunk-based development, feature flags, progressive rollout and canaries, automated release gates, one-click rollback) and partner with other platform teams to scale tooling and retire toil. The role also requires cross-functional collaboration to align release readiness with launch readiness, conduct blameless post-release reviews, and ensure compliance and auditable processes (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without turning delivery into paperwork.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where we have a legal entity to support personal goals and priorities. The Senior Manager role will build and drive the Atlassian Government Cloud platform components, maturing end-to-end release components and owning the go/no-go framework with a hands-on leadership style. You will own the release process for Government releases (planning, versioning, readiness, cutover, verification, rollback), manage the release calendar and dependencies, and serve as the escalation point for release-impacting incidents. You’ll lead 10-15 software engineers, provide coaching and career development, maintain an on-call rotation, and execute a multi-quarter roadmap to reduce release risk and cycle time through trunk-based development, feature flags, canaries, automated release gates, and one-click rollback. You’ll partner across Engineering, Product, QA, SRE, Security, Docs, Marketing, and Legal/Compliance; communicate status to senior leadership; run blameless post-release reviews, and ensure releases meet change-management and audit requirements (e.g., SOC 2, ISO 27001, FedRAMP, PCI, or SOX).

Atlassian offers flexible work locations and global hiring, letting employees work from office, home, or hybrid arrangements, with hires possible in any country where the company has a legal entity. The Senior Manager role focuses on building and maturing Government Cloud platform release components, leading a hands-on team of 10–15 engineers who manage infra for multiple product teams, drive the go/no-go framework, and will be in the room for hard launch calls and operator-approved releases. Responsibilities include owning the release process (planning, versioning, readiness, cutover, rollback), running the release calendar, defining readiness criteria, and serving as the escalation point for release-impacting incidents. The role requires building bench strength, coaching and hiring, and shaping a multi-quarter roadmap to reduce release risk (trunk-based development, feature flags, canaries, automated release gates, one-click rollback) while partnering with other platform teams to scale tooling. Collaboration with cross-functional teams (Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, Legal/Compliance) is essential to align launch readiness, communicate status to senior leadership, conduct blameless post-release reviews, and ensure compliance with change management and audit standards (e.g., SOC 2, ISO 27001, FedRAMP, PCI, SOX).

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity to help employees balance family and personal goals. The role is a Senior Manager who will build and drive the Government Cloud platform components, lead a team of engineers building infrastructure for multiple product and service teams, own the go/no-go release framework, and shift from continuous delivery to operator-approved releases; it’s a hands-on leadership position. Responsibilities include owning the government release process end-to-end (planning, versioning, readiness, cutover, verification, rollback), managing the release calendar and inter-team dependencies, making tradeoffs, and serving as the escalation point for release-impacting incidents, including after-hours for major launches. You’ll manage 10–15 engineers, coach and develop performance, and build bench strength while defining a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout/canaries, automated release gates, and one-click rollback, collaborating with platform teams to scale tooling and reduce toil. Finally, you’ll partner with Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance to align release readiness with launch readiness, communicate status to senior leadership, run blameless post-release reviews, and ensure releases meet change-management and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, SOX) without unnecessary paperwork.

Atlassian offers flexible work options—office, home, or hybrid—and can hire anywhere with a legal entity, helping staff balance family, personal goals, and priorities. This role provides a rare chance to shape how Atlassian’s brands are structured, positioned, and experienced across the portfolio during a pivotal moment of new brand positioning, portfolio unification, AI brand system evolution, and Brand Intelligence Engine operations. You’ll contribute to brand architecture and portfolio strategy, partner with Product and Design to ensure cohesive brand experiences, run the Brand Intelligence Engine to turn signals into actionable briefs, and translate positioning into direction for Product Marketing, Brand Marketing, Creative, and Communications teams. Must-haves include 8+ years of deep brand strategy and craft expertise, end-to-end brand building experience, experience standing up or running a brand intelligence/insights function with AI-assisted research (Rovo or equivalent), multi-product B2B SaaS experience, fluency in AI-native portfolio brand architecture, strong ability to influence senior stakeholders, and exceptional writing; this is about turning strategy into action, not content marketing. Team culture treats brand as a shared asset, partners early with product, design, and marketing, is opinionated about big calls but generous with interpretation within guardrails, and values open debate, evidence-based decisions, and a single coherent Atlassian brand across the portfolio.

Atlassian offers flexibility in where you work—office, remote, or a mix—and hires in any country where they have a legal entity, enabling support for family and personal goals. This role provides a rare opportunity to shape how Atlassian’s brands are structured, positioned, and experienced across the portfolio at a moment of new brand positioning, portfolio unification, AI brand system evolution, and Brand Intelligence Engine work. It’s a high-impact, high-ownership role that’s highly visible and involves working directly with leaders in Marketing, Product, Design, and Research. Day-to-day you’ll contribute to brand architecture and portfolio strategy, ensure cohesive experiences across product and customer touchpoints, run the Brand Intelligence Engine to turn signals into actionable briefs, and translate positioning into direction for Product Marketing, Brand Marketing, Creative, and Communications teams. Must-haves include 8+ years of deep brand strategy experience, end-to-end branding in a product-led or B2B SaaS environment, experience with brand intelligence/AI-assisted research, ability to influence senior stakeholders, and exceptional writing; the team culture treats the brand as a shared asset, collaborates early, and strives for a single coherent brand point of view across channels.

Atlassian supports flexible work arrangements (office, remote, or hybrid), hires in any country with a legal entity, and the Value Management Office aims to align all interactions with customers’ strategic business needs for long-term joint success. The organization emphasizes core principles of facts, structure, depth, and perspective, owning customers’ business outcomes, pursuing strategic engagements with customers, and delivering repeatable, high-quality work while shaping long-term narratives. The Principal Value Advisor role is an influential individual contributor responsible for shaping and delivering strategic value engagements, defining Atlassian’s value proposition, driving innovation, and upholding craft excellence and customer-centricity. Key responsibilities cover customer focus and relationship building; financial acumen and value articulation; critical thinking and solution development; storytelling and executive communication; driving innovation; collaboration and influence; and knowledge sharing and thought leadership, with travel of 15-20% as needed. Must-have criteria include 7+ years in value or strategy consulting with cloud and digital transformation exposure, government/public sector experience, proven leadership of cross-functional value management engagements, mastery of financial modeling and business case development, exceptional executive communication, demonstrated ability to drive innovation and mentor others, and a commitment to building the practice operating model and enabling sales transformation.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity, with the Value Management Office guiding engagements toward customers’ strategic business outcomes. Its core principles emphasize owning customer outcomes, pursuing strategic, long-term engagements, delivering repeatable, high-quality work, and shaping enterprise narratives to move Atlassian forward. The Principal Value Advisor will shape and deliver strategic value engagements, define Atlassian’s value proposition for customers, drive innovation, and uphold craft excellence and customer-centricity as a key influential individual contributor. Responsibilities include building executive relationships, developing tailored value propositions and business cases, rapidly interpreting financial data, delivering compelling executive storytelling, driving innovation, collaborating across functions, sharing knowledge, and traveling up to 15-20%. Must-have qualifications include 7+ years in value/strategy/management consulting (with cloud tech and digital transformation), government/public sector experience, mastery of financial modeling and value articulation at the executive level, exceptional communication and leadership, and a track record of building value management infrastructure to support Atlassian’s sales transformation.

Atlassian offers flexible work locations and hires globally wherever they have a legal entity. The Value Management Office aims to align all interactions with customers’ strategic outcomes, guided by principles like owning customer outcomes, pursuing long-term collaborations, and delivering repeatable, high-quality value narratives. The Principal Value Advisor is a highly influential individual contributor who shapes strategic value engagements, defines Atlassian’s value proposition, and drives customer-centric innovation. Responsibilities include engaging senior executives, building tailored value-driven solutions, developing business cases and metrics, mastering executive storytelling, driving innovation and cross-functional collaboration, and mentoring others, with 15–20% travel. Required qualifications include 7+ years in value or strategy consulting, experience with government/public entities, mastery of financial modeling and value articulation at the executive level, exceptional communication skills, and a track record of leading complex engagements aligned with Atlassian’s sales transformation.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. Core Principles emphasize owning customers' business outcomes, pursuing strategic and courageous engagements with customers, playing the long game with stakeholders, and delivering beautiful, repeatable success. The Principal Value Advisor for DX is an influential individual contributor who shapes strategic value engagements, defines DX’s value proposition, and elevates craft excellence and customer-centricity across the organization. Responsibilities include engaging senior customer executives, building influential relationships, developing business cases and value metrics, synthesizing data to create innovative solutions, delivering executive-level storytelling, driving innovation and DX strategy, cross-functional collaboration, thought leadership, mentorship, and travel up to 15-20%. Requirements include 7+ years in value/management consulting with cloud/digital transformation experience, mastery of financial modeling and value articulation at the executive level, strong communication and stakeholder management, and a track record of leading cross-functional engagements; nice-to-have items include familiarity with Atlassian solutions, related tools, regional language coverage, and experience in financial services, software/tech, and public sector.

At Atlassian, employees can work in an office, from home, or in a hybrid setup, with hiring possible in any country where we have a legal entity, guided by core principles that emphasize customer outcomes, strategic engagements, long-term thinking, and creating repeatable, high-quality work. The Principal Value Advisor for DX is a highly influential individual contributor responsible for shaping strategic value engagements, defining DX’s value proposition for customers, driving innovation, and setting the standard for craft excellence and customer-centricity across the organization. Key responsibilities include building executive-level customer relationships, delivering tailored value propositions and business cases, interpreting financial data to identify opportunities, developing root-cause insights and innovative solutions, and producing compelling executive storytelling to drive alignment and adoption. Requirements include 7+ years in value/strategy consulting with cloud and digital transformation experience, mastery of financial modeling and value articulation at the executive level, strong communication and stakeholder management skills, a proven ability to influence senior leaders, and a willingness to mentor others and help operationalize the practice operating model; travel is up to 15-20%. Nice-to-have items include familiarity with Atlassian solutions, experience with workflow/service/collaboration tools, regional language capabilities, and industry experience in financial services, software/tech, or government/public sectors, all aimed at building a value-management infrastructure to support DX’s sales transformation.

- Atlassians can choose where they work, including in an office, from home, or a combination of the two. - This flexibility gives employees more control over supporting their family, personal goals, and other priorities. - The company can hire people in any country where it has a legal entity. - The text underscores a global approach to employment and flexibility in work locations. - Overall, Atlassian emphasizes employee choice and worldwide hiring capabilities.

Atlassian offers flexible work options, letting employees work in the office, from home, or in a hybrid arrangement. This flexibility gives Atlassians greater control over supporting their family, pursuing personal goals, and managing other priorities. The company hires people in any country where it has a legal entity. This approach supports a global, distributed workforce. Overall, the policy reflects Atlassian's emphasis on work-life balance and inclusive global hiring.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where it has a legal entity to support employees’ families and priorities. The company aims to be a 100-year company by building a world-class, empowered engineering organization with the tools and infrastructure needed to do the best work of employees’ careers. Engineering focuses on advancing AI and helping customers transition to the cloud while delivering maximum value through Jira, Confluence, Trello, and Bitbucket. The role involves solving large, complex problems, providing technical leadership, enforcing architectural standards, promoting technical excellence, collaborating across teams on cross-project initiatives, sharing best practices, and mentoring future technical leaders. Requirements include 10+ years of full-stack experience in languages such as Java/Scala/Node/JavaScript/React, a CS degree, experience with large-scale systems engineering (testing, reliability, security, observability), strong communication, mentoring ability, a customer-impact mindset, and familiarity with A/B testing.

Atlassian offers flexible work options—office, home, or hybrid—and hires globally where they have a legal entity, with a goal of building a 100-year company through empowered engineering teams and modern tooling. Engineering focuses on AI initiatives and helping customers move to the cloud, delivering maximum value through Jira, Confluence, Trello, and Bitbucket. In this role, you will tackle large, complex problems, provide technical leadership on high-impact projects, address architecture challenges, promote architectural standards, evangelize technical excellence, collaborate on company-wide initiatives, and mentor the next generation of technical leaders. The candidate should have 10+ years of full-stack development (Java, Scala, Node, JavaScript, or React), a CS degree or equivalent, deep experience in scalable systems engineering (testing, reliability, security, observability), strong communication, mentoring ability, a customer-impact mindset, and familiarity with A/B testing. The overall aim is to shape Atlassian’s future through collaboration and extraordinary results.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where it has a legal entity. To become a 100-year company, Atlassian is building a world-class, empowered engineering organization with the tools and infrastructure to do the best work, focusing on AI and helping customers move to the cloud, while delivering value through Jira, Confluence, Trello, and Bitbucket. They seek individuals eager to shape the future and who believe in collaboration to achieve extraordinary results together. In this role, you will tackle the largest and most complex problems, provide technical leadership on high-impact projects, address architecture challenges, raise the technical bar across the organization, drive company-wide initiatives, and mentor the next generation of engineers. Required background includes 10+ years of full-stack experience with languages such as Java/Scala/Node/JavaScript/React, a CS degree or equivalent, deep systems engineering experience at scale (testing, reliability, security, observability), excellent communication, mentoring ability, customer-focused decision making, and familiarity with A/B testing.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where the company has a legal entity. The goal is to be a 100-year company by building an empowered engineering organization with the right tools to do its best work, while focusing on AI and helping customers transition to the cloud around Jira, Confluence, Trello, and Bitbucket. The role involves tackling the largest and most complex problems, providing technical leadership on high-impact projects, addressing architectural challenges, and promoting a high technical standard across the organization. You will partner with multiple engineering teams on company-wide initiatives, share engineering best practices, mentor the next generation of leaders, and drive engineering excellence. The required background includes 10+ years of full-stack experience with languages such as Java, Scala, Node/JavaScript/React, a CS degree, systems engineering at scale with emphasis on testing, reliability, security, and observability, strong communication skills, mentoring experience, customer-impact-minded decision making, and familiarity with A/B testing.

Atlassian is building the future of work with Strategy Collection, a product suite that connects company strategy to execution, aligns teams around priorities, tracks progress, and enables scalable, transparent decision-making with trustworthy AI. The Principal Product Manager will lead core Focus capabilities within Strategy Collection, owning the Focus vision, roadmap, and operating plan across planning, goal-setting, reporting, insights, collaboration, administration, and integrations. This hands-on, cross-functional role requires strong product judgment, customer empathy, enterprise SaaS depth, and the ability to influence product, engineering, design, platform, data, GTM, and executive stakeholders. Responsibilities include applying AI-native practices across discovery, prototyping, experimentation, evaluation, launch, and post-launch learning; identifying high-impact AI opportunities; prioritizing work by impact and value; driving cross-functional initiatives; and producing executive-ready narratives while managing risks around trust, quality, and governance. Qualifications include 8+ years of enterprise SaaS product management experience with AI fluency and 0-to-1 product development, experience shipping AI/ML capabilities, strong cross-functional leadership and communication, and preferably Atlassian product experience, with the role supporting flexible work arrangements and global hiring where a legal entity exists and reporting to the Head of Product, Strategy Collection.

Atlassian's Strategy Collection aims to align company strategy with execution within the Atlassian System of Work, emphasizing open collaboration, practical AI-driven innovation, and flexible work options. The Principal Product Manager for Focus will own the Focus product vision, roadmap, and operating plan, shaping how it helps leaders define priorities, connect work to outcomes, monitor progress, and make decisions at scale across planning, goals, reporting, insights, collaboration, administration, and integrations, reporting to the Head of Product of Strategy Collection. Responsibilities include leading AI-native product building across discovery, prototyping, experimentation, launch planning, and post-launch learning, identifying high-impact AI opportunities, prioritizing by customer impact and value, and driving cross-functional initiatives. Qualifications include 8+ years in enterprise SaaS product management, strong AI fluency with AI-native practices, 0-to-1 product development and co-building with customers, experience shipping AI/ML capabilities, and a track record of leading ambiguous, executive-visible initiatives. Candidates should have excellent enterprise SaaS fluency, the ability to translate needs into pragmatic decisions balancing adoption, scale, trust, and governance, and exceptional communication and stakeholder influence, with preferred experience in Atlassian products or strategy/portfolio management.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity, for a Lead Product Designer on the Rovo & AI team responsible for Atlassian’s flagship AI experience. The role spans across Atlassian apps (Jira, Confluence, Bitbucket) to design AI experiences and requires collaboration with teams across Atlassian; the team is primarily based in Australia and the U.S. West Coast. Responsibilities include setting the strategic vision for AI customer experiences, applying systems thinking, delivering strong visual/interaction design, leading design reviews, coaching other designers, and unifying AI capabilities across Atlassian with leadership and stakeholders. You will lead design projects end-to-end, tie outcomes to customer value, identify success metrics, and seek opportunities to enhance products and accelerate AI and search experiences while collaborating with engineers, product managers, content designers, researchers, marketers, and analysts. Qualifications include 10+ years of enterprise software product design, experience leading organization-wide design programs, end-to-end UX design, storytelling ability, balancing user needs with business/technical feasibility, facilitation and cross-functional collaboration, design systems experience, and measuring success with qualitative and quantitative methods, plus a focus on improving processes to increase product value and adoption.

Atlassian offers flexible work options—office, home, or a hybrid arrangement—and hires in any country where it has a legal entity. They’re seeking a Lead Product Designer to join the Rovo & AI team, working on Rovo and AI experiences across Atlassian apps (Jira, Confluence, Bitbucket, etc.) and collaborating with teams across the Atlassian portfolio; the team is primarily based in Australia and the west coast of North America. Responsibilities include leading the strategic vision and conceptual design for AI-enabled customer experiences, applying systems thinking to navigate complex relationships between products, channels, and features, and demonstrating strong visual and interaction design to communicate work and influence outcomes, along with driving design reviews and coaching other designers for cohesive AI experiences. The role requires partnering with leadership and cross-functional teams to create a unified design view of AI capabilities, leading design projects from creation to execution, tying design to customer value delivery, identifying success metrics, and spotting opportunities to enhance products and accelerate AI and search experiences. Qualifications include 10+ years of product design experience, experience delivering strategic, organization-wide design programs, end-to-end UX design, storytelling to bring direction to life, balancing user needs with business goals and feasibility, strong facilitation and collaboration skills, design systems experience, and proficiency in measuring success with qualitative and quantitative methods.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity; they’re seeking a Lead Product Designer for the Rovo & AI team to shape AI experiences across Jira, Confluence, Bitbucket, and other Atlassian apps. The role leads the strategic vision and conceptual design for AI experiences, applying systems thinking to understand how products, channels, and features interact to drive better outcomes. It requires strong visual and interaction design skills to communicate work clearly, lead design reviews, and serve as a design craft leader and coach for cohesive AI experiences. You’ll partner with leadership and cross‑functional teams to create a unified design view of AI capabilities, lead projects end‑to‑end, tie outcomes to customer value, identify success metrics, and spot opportunities to enhance AI and search experiences at Atlassian. Qualifications include 10+ years of enterprise software product design, experience with org‑wide design programs, end‑to‑end UX design, storytelling, balancing customer and business needs, facilitation and collaboration, design systems, and measuring success with qualitative and quantitative methods, along with process improvements to increase value and adoption.

Atlassian is a global leader in team collaboration and productivity software, with tools like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions to plan, track, and manage work. The company is committed to building innovative tools to drive the future of work and is seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization. The team builds Atlassian’s flagship AI products—agentic search and chat, long-horizon agents, and capabilities that enrich the Teamwork Graph—while developing frameworks, models, and infrastructure to accelerate AI feature development company-wide. Atlassian offers flexible work arrangements (office, home, or a mix) and hires in any country where it has a legal entity. In this role, you will lead ML algorithm and model development, collaborate with product, engineering, and analytics teams, design architectures, lead experimentation and evaluation, mentor engineers, and help shape the company’s AI strategy.