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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 is seeking a Senior Product Marketing Manager to own the developer platform go-to-market, focusing on Forge and the broader developer GTM, in a hybrid Product Marketing + Developer GTM role, with immediate priority on TEAM for Builders, Atlassian’s Tier 1 event for developers and builders. You’ll own positioning, messaging, segmentation, and competitive narrative for Forge and the developer platform, partner with Product and Engineering to translate technical capabilities into developer value, and develop POVs on AI-enabled development, APIs, MCP, agents, and evolving workflows. You’ll own the TEAM for Builders developer marketing strategy and GTM, defining the audience, narrative, journey, launch integration, programming, acquisition, and post-event activation, and collaborate across Product, Developer Advocacy, Events, Brand, Community, and Ecosystem to sustain year-round developer engagement. You’ll lead the Developer GTM, connecting launches, events, advocacy, community, content, and growth programs into a cohesive developer journey, and build repeatable launch and adoption motions for major launches (e.g., Studio App Builder GA, Teamwork Graph API GA, Forge App MCP, Forge Remote Agents, Forge Container Services GA, and Codegeist). Requirements include 7+ years in product or developer marketing, technical fluency to work credibly with Product/Engineering, strong storytelling, a track record of owning complex launches or programs, and a focus on developer/business outcomes, with Atlassian offering flexible work arrangements (office/home/hybrid) in countries with a legal entity.

Atlassian is hiring a Senior Product Marketing Manager to own the go-to-market for the developer platform, with primary responsibility for Forge and the broader developer GTM, in a hybrid Product Marketing + Developer GTM role. The role involves shaping the technical story for developer-facing products, translating complex capabilities into developer value, and building GTM motions that drive awareness, activation, and adoption, with immediate priority on TEAM for Builders, Atlassian’s Tier 1 developer event. You’ll own developer platform positioning and collaborate with Product and Engineering to translate capabilities into value, while leading GTM across launches, events, advocacy, community, and growth programs, including managing AWS MDF investments to amplify the strategy. You should have 7+ years of experience in product/developer marketing or related fields, with a track record marketing technical products, strong storytelling, cross-functional leadership, and the ability to operate strategically and execute. In the first year, success means making TEAM for Builders a defining developer moment, establishing a cohesive developer platform narrative, and becoming a trusted partner to Product and Engineering, while Atlassian offers flexible work location options globally.

- Atlassian offers flexible work options and the ability to hire in any country where it has a legal entity. - The Senior Principal Product Manager for Atlassian Government Cloud — Restricted Environments will own the vision, strategy, and delivery of cloud offerings for the U.S. Intelligence Community, Department of Defense, and mission partners in IL6+ and TS//SCI environments. - This is a zero-to-one leadership role that translates national security mission needs into a multi-year roadmap and drives cross-functional execution across engineering, security, compliance, legal, and go-to-market teams. - You will lead executive engagements with flagship customers, define requirements for disconnected and air-gapped operations, determine operating models (Atlassian-operated, partner-operated, or customer-operated), influence pricing and packaging, represent Atlassian in government forums, and mentor the AGC PM team to raise capability in regulated cloud delivery. - Requirements include active TS//SCI clearance; 8+ years of product management experience delivering cloud/SaaS to the U.S. IC or DoD (including IL5/IL6/Top Secret environments); expertise with disconnected/offline deployments and accreditation; familiarity with intelligence and defense mission workflows; US citizenship; with federal procurement experience preferred.

Atlassian offers flexibility in where you work (office, home, or hybrid) and hires from anywhere with a legal entity. The Senior Principal Product Manager for Atlassian Government Cloud — Restricted Environments will own the product vision, strategy, and delivery for cloud offerings serving the U.S. Intelligence Community, Department of Defense, and mission partners, including IL6+ and TS//SCI deployments. This zero-to-one role translates national security mission needs into a roadmap, drives execution across engineering, security, compliance, legal, and go-to-market teams, and serves as a primary product voice to customers in classified settings while mentoring others on the AGC team. Key responsibilities include defining multi-year roadmaps aligned with accreditation frameworks (e.g., NIST 800-53, CNSSI 1253, ICD 503, DoD standards), leading design partnerships with flagship customers, planning for disconnected/offline operations and varied operating models, shaping pricing/packaging, and representing Atlassian in the intelligence and defense ecosystem. Requirements include active TS//SCI clearance, 8+ years of product management delivering cloud/SaaS to IC/DoD or defense customers, experience with IL5/IL6/Top Secret environments and air-gapped deployments, strong cross-functional collaboration skills, U.S. citizenship, and preferred federal procurement experience.

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.

At Atlassian, employees can work in-office, from home, or a mix, and the company hires globally with virtual interviews and onboarding as part of its distributed-first approach. The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies using data-driven insights to drive growth, optimize the sales process, and enhance customer experiences and market share. Atlassian is seeking a Principal Strategist to develop the GTM strategy for the Public Sector, aiming to drive P&L growth by delivering value to customers, partners, and the Atlassian System of Work. The role is an individual contributor position that collaborates with Public Sector sales and product executives across the organization, requiring fast-paced, multi-angle problem solving and a solid understanding of SaaS business models, from ideation to design, including due diligence and scalable options to meet fiscal year and long-term targets. Responsibilities include analyzing complex information with qualitative and quantitative methods, proactively identifying opportunities, testing new ideas, transitioning from high-level strategy to detailed analysis, and leading cross-functional stakeholder management to secure executive support and drive outcomes.

At Atlassian, employees can choose to work in an office, from home, or in a hybrid arrangement, with global hiring and virtual interviews and onboarding as part of being a distributed-first company. The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies that are responsive to changing market dynamics and drive sustainable, profitable growth. Atlassian is seeking a Principal Strategist to develop our GTM strategy for Public Sector, using qualitative and quantitative methods to evaluate opportunities and design initiatives that fuel P&L growth. This role will partner closely with Public Sector sales and product executives and stakeholders to define critical strategy and set the long-term direction, thriving in a fast-paced environment and operating independently. Responsibilities include developing actionable GTM strategies from ideation to design, conducting internal and market due diligence, performing financial and market analysis, leading cross-functional stakeholder management, and influencing across all levels to marshal resources and deliver customer value at scale.

- 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 investing deeply in Generative AI to unleash the potential of every team, pursuing advanced modeling and rapid innovations that accelerate how teams work, discover, and create. They’re seeking a Principal Machine Learning Systems Engineer (P60) to lead the technical directions of GenAI Products & Knowledge Innovations in the US, focusing on building and scaling systems that power GenAI products with enterprise knowledge, rapid prototyping, and applied research. Atlassian supports flexible work arrangements and hires globally where they have a legal entity. The role involves designing scalable ML systems for training, fine-tuning, and serving large language models and embeddings, and building retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data, plus tooling for rapid experimentation and deployment. You’ll enable rapid prototyping and applied research by partnering with scientists to produce production-ready pipelines, optimize latency and efficiency, collaborate across ML, backend, and product teams, and help establish the team as a world-class GenAI systems hub with best practices in deployment, monitoring, and evaluation.

Atlassian is investing in Generative AI and seeks a Principal ML Systems Engineer (P60) to lead GenAI products and knowledge innovations in the US, focusing on scalable systems and rapid prototyping to empower teams. The company offers flexible work options—office, remote, or hybrid—and can hire anywhere with a legal entity. Responsibilities include designing and building scalable ML systems for training, fine-tuning, and serving large language models and embeddings, plus developing efficient retrieval, hybrid search, and RAG pipelines tied to knowledge-grounded data. They emphasize enabling rapid prototyping and applied research by partnering with scientists to turn POCs into production-ready services, while optimizing latency, throughput, and resource efficiency for GenAI workloads. The role involves cross-disciplinary collaboration with ML engineers, backend developers, and product teams, and contributing to best practices in deployment, monitoring, and evaluation to position the team as a world-class GenAI systems hub.

Atlassian is investing in Generative AI and is hiring a Principal Machine Learning Systems Engineer (P60) in the US to lead GenAI products and knowledge innovations, bridging cutting-edge algorithms with scalable infrastructure. The role involves designing and building scalable ML systems for training, fine-tuning, and serving large language models and embeddings, along with developing retrieval, hybrid search, and RAG pipelines grounded in knowledge. It also emphasizes rapid prototyping and applied research, partnering with scientists to turn ideas into production-ready pipelines while optimizing latency, throughput, and resource efficiency. You’ll collaborate across ML engineers, backend developers, and product teams to ship end-to-end innovations and contribute to best practices in deployment, monitoring, and evaluation. Atlassian offers flexible work arrangements (office, remote, or hybrid) and can hire in any country with a legal entity, supporting work-life balance and personal priorities.

Atlassian is investing in Generative AI and is seeking a Principal Machine Learning Systems Engineer (P60) to lead GenAI Products & Knowledge Innovations in the US. The role focuses on designing and scaling systems that power advanced GenAI products, including enterprise knowledge integration, rapid prototyping, and applied research. You’ll design scalable ML systems for training, fine-tuning, and serving large language models and embeddings, and build retrieval, hybrid search, and RAG pipelines with knowledge-grounded data. You’ll enable rapid prototyping and applied research by partnering with scientists to turn ideas into production-ready pipelines, building POC systems, and optimizing latency, throughput, and resource efficiency. You’ll collaborate across ML engineers, backend developers, and product teams, contribute to deployment, monitoring, and evaluation best practices, and help establish Atlassian as a world-class GenAI systems hub, while enjoying flexible work location and eligibility to hire in any country with a legal entity.

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.

Atlassian is a global leader in team collaboration software, with products like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions to plan, track, and manage work. The company is dedicated to building innovative tools and technologies that drive the future of work, including flagship AI products from the Search & Intelligence organization such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph. Atlassian also develops the frameworks, models, and infrastructure that accelerate AI feature development across the company. The Principal Machine Learning Engineer role involves leading the development and implementation of cutting-edge ML algorithms and models, collaborating with product, engineering, and analytics teams to translate business and customer needs into impactful solutions, and designing architectures, guiding experiments, and mentoring other ML engineers. The company offers flexible work arrangements (office, home, or hybrid) and can hire in any country with a legal entity, and the role includes helping shape Atlassian's AI strategy across the organization.

Atlassian is a global leader in team collaboration and productivity software, with products like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide. The company is building innovative tools for the future of work and is seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and capabilities that enrich the Teamwork Graph. The role also involves developing the frameworks, models, and infrastructure that accelerate AI feature development across Atlassian. As a Principal ML Engineer, you will lead the development and implementation of cutting-edge ML algorithms powering AI capabilities, collaborate with product, engineering, and analytics teams to translate needs into solutions, design system and model architectures, lead experiments, and mentor other ML engineers. Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, and you will help shape the AI strategy to realize its transformative potential across the company.

Atlassian is a global leader in team collaboration and productivity software, with tools like Jira, Confluence, Trello, Bitbucket, and Rovo trusted by millions to plan, track, and manage work. The company develops innovative AI capabilities through its Search & Intelligence team, delivering flagship products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph, along with frameworks, models, and infrastructure to accelerate AI feature development. Atlassians can work in an office, from home, or in a hybrid setup, and the company can hire in any country where it has a legal entity. As a Principal Machine Learning Engineer, you will lead the development and implementation of cutting-edge ML algorithms and models powering AI across Atlassian’s products and services, collaborating with product, engineering, and analytics teams. Your responsibilities include designing system and model architectures, leading rigorous experimentation and evaluation, providing technical mentorship to ML engineers, and helping shape Atlassian’s AI strategy to realize its transformative potential.

Atlassian allows employees to choose their work location—office, home, or a mix. 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 overall message highlights flexible work arrangements and broad global hiring capabilities. The text ends with a trailing “NTD” marker, which appears nonessential to the main points.

- Atlassians can choose where they work, whether in an office, from home, or a combination of the two. - This setup 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. - This enables a global hiring footprint while complying with local laws. - Overall, the policy emphasizes flexible work options and broad geographic reach.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. They are seeking a Principal Fullstack Software Engineer focused on delivering creative improvements for engineering teams. The role involves understanding the user journey and funnel, collaborating to influence product strategy, and guiding the technical direction of large-scale features while evaluating trade-offs for correctness, robustness, performance, and customer impact. Responsibilities include debugging inefficiencies, shipping secure, reliable, and maintainable code, and contributing to code reviews, documentation, and complex bug fixes with security and performance in mind. It also entails mentoring teammates, improving the growth engineering team, and identifying blockers to maintain software engineering excellence across design principles, unit testing, performance, and security/privacy.

Atlassian offers flexible work locations, allowing in-office, remote, or hybrid arrangements to support personal goals and priorities. They hire in any country where they have a legal entity. They are seeking a Principal Fullstack Software Engineer focused on delivering creative improvements for engineering teams. Responsibilities include understanding the user journey, collaborating to influence product strategy, guiding technical direction for large-scale features, evaluating trade-offs, debugging inefficiencies, and shipping secure, reliable code while contributing to reviews, documentation, and complex bug fixes with security and performance in mind. They also mentor teammates, improve the growth engineering team, and identify blockers to software engineering excellence (design principles, unit testing, performance, and security/privacy).

Atlassian supports flexible work arrangements, allowing office, home, or hybrid setups, and hires internationally where they have a legal entity; this role is fully remote but requires you to be located in the US Pacific or Mountain time zones. The position is for a Principal Backend Software Engineer focused on delivering creative improvements for our engineering teams. You’ll regularly unblock challenges across the software development lifecycle, from technical design to launch, and create solutions used by other teams while determining plans of attack on large projects. You will routinely solve complex architecture challenges, apply architectural standards to new projects, lead code reviews and documentation, and tackle high-risk bug fixes while setting the standard for meaningful reviews. You’ll partner across engineering teams on company-wide projects, transfer your depth of knowledge from your current language, excel as a Software Engineer, and mentor more junior team members.

Atlassian supports flexible work arrangements and hires globally, but this role is fully remote and requires you to be located in the US Pacific or Mountain time zones. They are seeking a Principal Backend Software Engineer to join the team, focusing on delivering creative improvements for engineering teams. The role involves regularly unblocking challenges across the software development lifecycle—from design to launch—and creating solutions used by other teams and products, including planning large projects. It also includes solving complex architecture challenges, applying architectural standards to new projects, leading code reviews and documentation, handling high-risk bug fixes, setting the standard for meaningful reviews, and partnering across engineering teams on company-wide initiatives. The role expects transferring depth of knowledge between languages to excel as a software engineer and mentoring junior team members.

At Atlassian, you can work where you want—office, home, or a mix—and the company hires in any country with a legal entity. The role is Manager, Customer Success Architects (AI), leading a pod within the Customer Success Architecture organization to drive adoption of the Rovo AI platform and deliver measurable business value. You’ll hire, coach, and develop CSAs, partner with enterprise teams to identify high-impact AI use cases, design and build custom Rovo agents and connectors, and deploy solutions into production, while owning engagement quality, capacity planning, adoption metrics, and the team’s professional growth. You’ll lead via people management, collaborate with Pre-Sales, Post-Sales, Product, and Engineering to prioritize engagements, align pod capacity with pipeline and strategic accounts, and help surface product friction to influence roadmaps while showcasing customer successes. The role requires familiarity with GDPR and the EU AI Act, and involves up to 15% travel domestically and internationally.

Atlassian offers flexible work locations and global hiring, allowing employees to work in-office, from home, or a hybrid arrangement. The role is Manager, Customer Success Architects (AI), leading a pod focused on driving adoption of the Rovo AI platform and delivering real business value for customers. You’ll hire, coach, and develop CSAs who work with enterprise teams to identify high-impact AI use cases, design and deploy custom Rovo agents and connectors, and move solutions into production, while owning engagement quality, capacity planning, and adoption metrics. On day one, you’ll set expectations and development plans, manage pod capacity and delivery, ensure current playbooks and enablement, collaborate with Pre-Sales, Product, and Engineering, coordinate with Account Teams and Sales, translate field patterns into roadmap feedback, and advocate for customer successes, with up to 15% travel. You should be familiar with GDPR and EU AI Act requirements as they relate to enterprise AI adoption and data residency, and you’ll help expand AI use cases and markets.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever it has a legal entity, helping employees balance family, personal goals, and priorities. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and user expansion, nurturing relationships, and meeting revenue targets while advocating for customers by feeding feedback to product and engineering. All responsibilities are carried out in close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, with a TEAM approach to deploying Atlassian at scale and guided by Atlassian values. In this role, you will lead and manage a Central Region Mid-Market sales team, develop and implement strategic plans to grow market share, mentor the team, and set and monitor performance goals. You will also recruit and onboard new Account Executives, collaborate to improve sales processes and customer satisfaction, analyze sales data and market trends, and stay informed about industry dynamics and competitors in the enterprise segment.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. The Mid-Market sales team focuses on cloud-first opportunities, cross-sell and user expansion, nurtures customer relationships, and targets revenue while advocating for customers by feeding feedback to product and engineering, all in close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. The role aligns with Atlassian values and uses them to guide a revolutionary sales model; you will lead and manage a Central Region Mid-Market sales team, developing customized sales strategies and plans. You will develop and implement strategic sales plans to reach and expand market share in the Mid-Market segment, provide mentorship and coaching, set performance goals, and recruit, hire, and onboard new Account Executives. You will collaborate with internal teams to improve sales processes, analyze sales data and market trends, conduct performance evaluations, and stay informed about industry trends, competitor activities, and market dynamics within the enterprise segment.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity to support employees' personal priorities. The role leads and manages a team of enterprise Account Executives to achieve sales targets, develop strategic plans, mentor staff, set performance metrics, and recruit as needed. It requires collaboration with internal teams like Channel Partners, Product Specialists, Account Managers, and Solution Engineers to streamline sales processes and manage key client relationships and high-level negotiations. The job also involves analyzing sales data and market trends, providing regular updates to senior management, and conducting performance evaluations to drive continuous improvement. Qualifications include 10+ years in sales and 5+ years in management (preferably as a second-line sales leader), experience with CRM and analytics tools, French fluency preferred, and a track record in value-driven, consultative selling in a fast-paced international environment.

Atlassian supports flexible work locations—office, remote, or hybrid—and hires in any country where it has a legal entity, empowering employees to balance work with family and personal goals. The role centers on leading a team of enterprise Account Executives to achieve sales targets and revenue goals, while developing strategic plans to penetrate and expand the enterprise segment and mentoring the sales team to reach individual targets. Additional duties include setting performance metrics, recruiting and onboarding new sales staff, collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to streamline processes and enhance customer satisfaction, and analyzing sales data and market trends to identify growth opportunities. The incumbent will manage key client relationships, participate in high-level negotiations, and provide regular updates and reports on sales performance to senior management, while staying informed about industry dynamics and competitor activity within the enterprise segment. Qualifications include 10+ years in sales and 5+ years in management (preferably second-line sales leadership), a proven track record of target achievement, proficiency with CRM, pipeline management, and analytics tools, experience with consultative and value-driven selling, ability to coach and mentor selling professionals and build relationships with senior stakeholders, fluency in French preferred, and a demonstrated motivation to work in a fast-paced international environment.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where the company has a legal entity. The role involves leading and managing a team of enterprise Account Executives to achieve sales targets and revenue goals, developing strategic plans to penetrate and expand the enterprise market, mentoring the team, setting and tracking performance metrics, and recruiting as needed. Responsibilities include collaborating with internal teams such as Channel Partners, Product Specialists, Account Managers, and Solution Engineers; analyzing sales data and market trends to identify growth opportunities; conducting regular performance evaluations; managing key client relationships and high-level negotiations; and providing updates to senior management. Qualifications include 10+ years in sales and 5+ years in management, preference for experience as a second-line sales leader, a proven track record of meeting targets, CRM/pipeline analytics proficiency, and French fluency preferred; plus experience in consultative, value-driven selling and building relationships with senior stakeholders. The role emphasizes challenging traditional sales models, optimizing processes, thriving in a fast-paced international environment, taking initiative, and sharing findings with the team.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The role leads and manages a team of enterprise Account Executives, develops strategic sales plans to grow market share, and mentors the sales team to hit targets. Responsibilities include setting performance goals, recruiting and onboarding new hires, collaborating with internal teams such as Channel Partners and Solution Engineers, and analyzing sales data to identify growth opportunities. The position involves managing key client relationships, participating in high-level negotiations, and providing regular performance updates to senior management while staying informed on industry trends and market dynamics. Qualifications include 10+ years in sales with 5+ in management (preference for second-line sales leadership), CRM and analytics proficiency, consultative, value-driven selling experience, comfort with senior stakeholders, and French fluency is a plus.

Atlassian offers flexible work options—office, remote, or a hybrid setup—and hires globally in any country where it has a legal entity. The role leads a regional team of enterprise Account Executives to achieve sales targets by developing strategic plans, expanding market share, coaching the sales staff, setting performance goals, recruiting as needed, and collaborating with internal teams to improve customer satisfaction. Responsibilities include analyzing sales data and market trends, conducting regular performance reviews, managing key client relationships and negotiations, and providing regular updates to senior management while staying informed about industry dynamics. Qualifications include 10+ years in sales and 5+ years in management, with a preference for experience as a second-line sales leader, a proven track record of meeting or surpassing targets, and proficiency with CRM, pipeline management, and analytics tools; French fluency is preferred. The ideal candidate is motivated to coach professionals, adept at value-driven, consultative selling, comfortable engaging senior stakeholders, eager to challenge traditional sales models, and thrives in a fast-paced international environment while sharing insights with the team.

Atlassian offers flexible work locations and hires in any country where they have a legal entity. The Lead Paid Search Strategist is a senior individual contributor responsible for the global paid search program across Atlassian’s product portfolio, including brand and non-brand strategies, bidding, and measurement systems. Responsibilities include owning strategies, scaling in-house search automation and value-based bidding, directing agencies, partnering with Data Science on experiments and attribution, forecasting budgets, and evolving strategies for AI-driven SERP changes and privacy-aligned data capture. The role also involves monitoring auction insights, defending brand, designing AI-driven ad copy, ensuring end-to-end alignment from search query to landing page, and communicating insights to executive leadership while coordinating with Product Marketing and Web teams. Requirements include 8+ years in paid search for high-growth B2B SaaS/enterprise tech, multi-million-dollar budget management, technical direction for conversion APIs and attribution models, expertise in causal experiments and MMM/MTA, agency leadership, with preferred skills in SQL/BigQuery and multilingual campaign governance.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires globally wherever there is a legal entity. The Lead Paid Search Strategist is a senior individual contributor who will own the global paid search program across Atlassian’s product portfolio, defining brand and nonbrand strategies and advancing bidding and measurement systems. Responsibilities include governing strategies, driving in-house automation and value-based bidding, directing agencies, partnering with data science for causal experiments and attribution, forecasting budgets, and adapting to AI-driven search formats and privacy changes. The role also involves delivering performance insights to executives and aligning search efforts with product roadmaps in collaboration with PMM and Web teams. Requirements include 8+ years of paid search experience in high-growth B2B SaaS, multi-million-dollar budget management, technical direction on conversion APIs and attribution models, and agency leadership; preferred skills include SQL/BigQuery, Google Ads Scripts, Tableau/Looker, and multilingual campaign governance.

Atlassian offers flexible work options—office, remote, or a hybrid—and hires people in any country where we have a legal entity. The role involves expert executive calendar management across multiple time zones, preparing leaders for meetings with agendas and briefing materials, and capturing detailed notes and action items for follow-up. It also covers event coordination for virtual and in-person events, handling logistics, vendor/venue relationships, contract negotiations, and serving as the primary point of contact for event communications. You’ll be a strategic partner to executive leadership, shaping priorities, managing cross-functional projects, coordinating internal communications, and driving the rhythm of business through leadership meetings, offsites, town halls, and planning sessions. Candidates should have 7+ years in an Executive Assistant role supporting senior leaders, be team-oriented, adaptable to change, experienced in planning large-scale events, comfortable with new technologies, and eager to drive impact within a distributed workplace using Atlassian tools.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires globally in countries where it has a legal entity, enabling employees to support family and personal goals. The role focuses on executive support including complex calendar management across multiple time zones, meeting preparation and notes, and leading the planning, coordination, and execution of virtual and in-person events with vendors and logistics. It emphasizes cross-functional collaboration, internal communications, driving the rhythm of the business with leadership meetings, offsites, town halls, and quarterly planning, and handling budgets, purchase orders, travel management. You’ll leverage tools across the Atlassian suite, Google Workspace, Slack, Zoom, and Workday, with opportunities for growth, leadership operations engagement, and internal mobility and progression paths. The ideal candidate has 7+ years of Executive Assistant experience supporting senior leaders in high-growth technology settings, is a strategic team player who can navigate change, plan events at scale, make data-informed decisions, and thrive in a distributed workplace to drive impact.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity, signaling an inflection point as it builds an enterprise go-to-market on top of its product-led growth. Its AI-powered products—Jira, Confluence, Loom, and Rovo—are becoming a platform, and this role will bring that AI and platform transformation to life for Strategic & Enterprise accounts to generate pipeline for sales. The Account-Based Marketing Manager for East/Canada will lead 1:1 omni-channel ABM campaigns, collaborate with sales leadership, plan events, and create locally resonant proof points and customer stories to accelerate opportunities in AMER. Day one requirements include 7+ years of B2B marketing with 3+ years in ABM within a high-growth environment, a proven track record of pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision making, and experience with marketing automation and CRM. Nice-to-haves include experience marketing platform or enterprise transformation products to C-suite buyers, familiarity with both PLG and sales-led GTM motions, knowledge of Atlassian’s product suite, and prior experience in a high-growth B2B SaaS company navigating major product or positioning shifts; the Regional & Partner Marketing team seeks marketers who are strategic owners responsible for pipeline.

- Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity. - The company is at an inflection point, moving from a strong product-led growth engine to an enterprise go-to-market on top of a large installed base, with AI accelerating its platform across tools like Jira, Confluence, Loom, and Rovo. - The Account-Based Marketing Manager for Strategic & Enterprise accounts in East/Canada will bring Atlassian’s AI and platform transformation story to life in-market and generate pipeline for sales. - Responsibilities include owning 1:1 omni-channel ABM campaigns, collaborating with sales, planning events, leveraging AI tools, and coordinating with central teams and partners to maximize pipeline. - Requirements are 7+ years of B2B marketing with 3+ ABM in a high-growth environment, proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, and data-driven decision-making; the Regional & Partner Marketing team is a global group building market-by-market, customer-by-customer pipeline.

Atlassian supports flexible work locations and hires globally where it has a legal entity, enabling employees to balance family and personal goals. The company is evolving from a product-led growth model to an enterprise go-to-market, with AI powering its Jira, Confluence, Loom, and Rovo platform. The Account-Based Marketing Manager for East/Canada will generate and accelerate pipeline for Strategic & Enterprise accounts by turning global AI/storylines into locally resonant proof points and leading 1:1 omni-channel ABM in close partnership with sales. Responsibilities include planning and executing events, coordinating with demand gen, PMM, brand, and partner marketing, and leveraging AI tools to inform strategy, personalize at scale, and optimize campaigns. Requirements include 7+ years of B2B marketing with 3+ years in ABM, proven pipeline-generation experience, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision-making, and familiarity with marketing automation/CRM, with bonus points for experience in PLG and enterprise go-to-market, plus knowledge of Atlassian’s products.

- Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity. - The company is at an inflection point, moving from a successful product-led growth model to building an enterprise go-to-market on top of its large installed base, with AI powering its platform. - The Account-Based Marketing Manager for East/Canada Strategic & Enterprise accounts will bring Atlassian’s AI and platform transformation stories to market and generate pipeline for sales. - Responsibilities include owning 1:1 omni-channel ABM programs, using AI tools, collaborating with sales, coordinating events, and aligning with central teams to meet regional pipeline needs. - Requirements include 7+ years of B2B marketing with 3+ years ABM in high-growth settings, proven 1:1 and 1:Few ABM experience, strong AI fluency and data-driven decision-making, cross-functional influence, and a track record of pipeline generation; desirable extras include platform marketing to C-suite and familiarity with PLG and sales-led motions within Atlassian's Regional & Partner Marketing team.