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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.

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.

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 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.

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 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.

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 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 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 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.

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.

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, 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 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 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 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.

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, 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 locations and hires in any country where it has a legal entity. The Trust Engagement team is a globally distributed group of security and compliance professionals that helps customers perform risk assessments to trust Atlassian Cloud products. The Senior Manager, Trust Engagement will drive growth, oversee interactions with Security, Go-To-Market, Compliance, Privacy, Legal, and Customer Support, and focus on improving practices and customer engagement. Key responsibilities include leading an AMER-based team, contributing to enterprise strategy, driving process and tooling improvements, and serving as the primary contact for strategic/enterprise customer escalations while supporting executive briefings and security/compliance term negotiations. Requirements include 10+ years in security/governance/risk/compliance, proven leadership and cross-functional influence, experience scaling trust programs, familiarity with AI tools for efficiency, knowledge of AI security/compliance considerations, and experience with certifications such as FedRAMP, ISO 27001, PCI-DSS, plus regulatory/privacy/cloud security experience.

Atlassian offers flexible work options and hires in any country with a legal entity to support employees’ priorities. The intern program combines hands-on technical training, mentorship, professional growth, and social connections to prepare for a successful Atlassian career. The internship is a 12-week paid program in 2027, located in Seattle or San Francisco, and applicants must be willing to work from those locations; it is not eligible for F1/J1 students and offers no work sponsorship. Interns will join a development team from day one, contribute code that impacts products, and gain deep knowledge of full lifecycle product development while reporting to Senior Engineers. The engineering and R&D focus emphasizes helping customers move to the cloud and delivering value across Jira, Confluence, Trello, and Bitbucket.

At Atlassian, you can work flexibly and the company hires globally wherever it has a legal entity. The goal is to shape the next era of teamwork with AI, with Rovo as an intelligent teammate that understands context and helps move work forward. The role is Senior Machine Learning Engineer on the Rovo Chat Quality team, building evaluation systems, datasets, quality signals, and production ML capabilities to measure and improve Rovo. Responsibilities include architecting scalable production ML and evaluation systems, advancing agentic capabilities (reasoning, planning, tool use, memory, long-horizon execution), closing the loop between evaluation and product impact, and leading cross-organizational initiatives while setting reusable quality standards. The ideal candidate has a track record shipping large-scale ML/AI systems with measurable impact, deep experience with LLM-powered products and agentic systems, strong production engineering and technical leadership, and the ability to mentor others and communicate clearly.

Atlassian is seeking a Commercial Counsel to join its Enterprise Sales-focused Commercial Legal team for the Central/West US region, with coverage also in LATAM and Canada; the role is remote with an option to work from an Atlassian office. You will negotiate SaaS agreements with major enterprise customers, handling the process from drafting and redlining to execution, exhibit coordination, approvals, record management, and post-execution support and compliance. You’ll provide pragmatic, business-minded guidance on customer requests, review requests with internal partners, and obtain internal approvals for modifications to standard terms or processes as needed. You will draft terms and coordinate with Product, Engineering, and Compliance to support sales to highly-regulated customers. You should be able to own your work, collaborate across a decentralized, global organization, translate complex SaaS contracting to non-legal colleagues, manage risk while getting deals done, and apply knowledge of software, cloud services, and AI-related issues to generate creative, risk-based solutions.

Atlassian offers flexible work options—office, home, or a hybrid arrangement—to help employees support family and personal goals. They hire in any country with a legal entity, but the role is fully remote and requires residing in US Pacific or Mountain time zones. They are seeking a Fullstack Software Engineer focused on delivering creative improvements for engineering teams. Responsibilities include building REST APIs that power core customer experiences and developing customer-facing React components. Additional duties involve configuring monitoring for backend services, building CI/CD pipelines, integrating with a content management system, and delivering reliable features and services.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. - The Agentic AI Integrations team is responsible for MCP Server and agent-to-agent integrations, aiming to advance Atlassian value by leveraging AI capabilities such as Claude Skills and ChatGPT/Claude Apps within the Atlassian ecosystem. - The role focuses on bleeding-edge AI technologies to build scalable enterprise-grade AI products used by thousands of developers and enterprise users, with emphasis on ML performance and systems. - Core work includes designing and evolving MCP servers, tools, and agent-facing APIs; developing accessible React/TypeScript experiences; and integrating GraphQL/REST, streaming, and real-time data, plus semantic retrieval with embeddings and hybrid search. - Additional priorities cover defining AI/ML quality programs, integrating automated evaluations into CI/CD, improving observability and reliability with SLOs, and implementing enterprise security measures such as OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and safe confirmation flows.

At Atlassian, employees can work in the office, from home, or a hybrid, and the company hires globally with virtual interviews as part of its distributed-first approach. The Senior Application Engineering Manager on the Corporate Engineering- Finance Technology team will work on Oracle Fusion Cloud and other Finance SaaS applications to modernize Finance Operations through transformations, automation, AI/ML, and related priorities, leading a team of application development and software engineers. Responsibilities include running the business and projects from design to launch, maximizing Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), ensuring OKRs, and fostering an automation mindset with RPA and low-code/no-code tools with exposure to AI/ML. The role also involves leading integrations within a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), collaborating with Internal Audit for SOX compliance, and delivering tangible, high-visibility impact across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit. Key qualifications include 9+ years as a hands-on senior engineering manager in Core Finance, expertise in Oracle Fusion Cloud and other SaaS, experience with transformations and automation/BRE tools, familiarity with Salesforce and Databricks, exposure to AI/ML, comfort operating a 24x7 highly reliable system, and strong communication skills.

Atlassian operates as a distributed-first company with flexible work locations and virtual interviews, hiring in any country where it has a legal entity. The paid internship runs for 12 weeks in Summer 2027 (May/June 2027–August/September 2027) and requires working in the Pacific Time Zone, with no visa sponsorship and it is not open to F1/J1 students. As a Product Design Intern, you'll tackle real design challenges for AI-first collaboration tools, collaborating with designers, product managers, engineers, and researchers across Atlassian's global team. You will apply interaction, visual, and systems design to translate customer problems into simple product experiences, use research and prototyping, and contribute to design systems and documentation while exploring AI-native teamwork. Candidates must be enrolled in a 4-year bachelor’s or 2-year master’s program, returning after the internship and graduating by June 2028, with less than a year of professional experience; preferred qualifications include user-focused design experience and strong multi-project planning and cross-team collaboration skills.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. As a Principal Engineer with the Deep Engineer archetype in Kubernetes Platform, you’ll own technically complex, high-impact outcomes from problem definition through production, bringing deep expertise in agent infrastructure and distributed systems to shape the platform’s architecture and direction. You’ll make sound trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience while staying close to the code and operational reality, and you’ll influence across teams and geographies, partnering with product and engineering leaders to raise engineer effectiveness through coaching and standards. Responsibilities include defining and delivering the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads; leading architecture and implementation of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities; and owning end-to-end outcomes for ambiguous cross-team initiatives. You’ll advance portable, cloud-native execution across GCP and AWS while balancing platform consistency with regional and workload needs, champion operational excellence for a tier-0 platform, improve developer experience through self-service APIs and clear platform contracts, and mentor engineers to grow an inclusive, high-performing team; success is measured by sustained outcomes such as safer workloads, faster iteration, reliable services, and greater leverage across Atlassian.

- Atlassian supports flexible work options—office, home, or a mix—and hires in any country where it has a legal entity, giving employees more control over personal priorities. - Loom is Atlassian’s async video product that lets teams share quick video walkthroughs or updates instead of long messages or meetings, and it now integrates into Confluence with AI-generated transcripts and summaries through Rovo. - Loom is trusted by millions and is entering a new phase that expands how asynchronous video helps people and AI agents collaborate. - Joining the Loom Analytics team means shaping the product’s direction at the intersection of product strategy, customer insight, and experimentation, through cross-functional collaboration and rigorous quantitative analysis. - The role focuses on developing hypotheses, testing opportunities to improve the product and business, forecasting and monitoring key metrics, and storytelling insights to influence roadmaps and leadership decisions.

Atlassian supports flexible work arrangements—office, home, or hybrid—and hires in any country where it has a legal entity. In this role you’ll lead or coordinate high‑impact security incidents in a complex cloud environment, working with Detection, Security Engineering, Product Security, Legal, Crisis Communications, Support, and senior leadership, and you’ll directly manage a 5–8 person team in the US region. You’ll improve the incident response system through playbooks, metrics, exercises, post‑incident reviews, and better tooling, and drive the adoption of investigative AI tools and automation to speed triage, surface relevant signals, reduce toil, and improve consistency without compromising judgment or security rigor. You should bring a strong mix of incident leadership, operational maturity, and people leadership, with experience leading multi‑stakeholder security incidents, strong executive communication, metrics‑driven program improvement, hands‑on tooling, and experience deploying investigative AI in security operations, plus systems thinking and calm decision‑making under pressure. This role offers a rare opportunity to shape Atlassian’s major incident response, mature its security operations at scale, influence the responsible use of investigative AI, and build durable systems and better outcomes for customers, within a team culture that values calm execution, collaboration, blameless reviews, psychological safety, and continuous learning.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The company seeks an experienced analyst relations practitioner with deep industry analyst insight and strong DevOps and AI analyst relationships to drive its AI Software Delivery program. In this role, you’ll translate AI innovation into compelling analyst narratives, influence key research, and help Atlassian maintain leadership in priority growth markets as part of a global communications team reporting to the Head of Analyst Relations. You will build and maintain relationships with analysts at firms like Gartner, Forrester, and IDC, drive favorable positioning in evaluations (Magic Quadrants, Waves, MarketScapes), and translate analyst insights into actionable intelligence for product and marketing. Qualifications include 3-5 years of Analyst Relations experience with a SaaS provider, understanding of the analyst landscape and developer-focused analysts, and a proven ability to deliver a strategic AR program in partnership with cross-functional stakeholders.

At Atlassian, employees can choose where to work (office, home, or hybrid) and the company can hire in any country with a legal entity. The Principal Enterprise Security Engineer serves as the senior technical authority and strategic thought leader across corporate architecture, SaaS platforms, and workforce technologies, driving long-term vision and safeguards that protect assets while enabling agility. Key responsibilities include strategic leadership to define and maintain the end-to-end enterprise security architecture blueprint (endpoint, identity, network, data) and leading architectural reviews of major initiatives such as AI adoption, zero-trust modernization, and vendor onboarding. The role provides technical SME guidance, influences platform and service design with risk-based recommendations, and drives automation of controls and drift detection (IaC/PaC) to improve productivity and speed of change via CI/CD for policy/configs. Collaboration involves partnering with security, engineering, and product teams, serving as the architecture liaison to unify security strategy across enterprise and customer-facing environments, and mentoring security engineers across corporate domains.

This role is Principal Data Scientist on Atlassian’s Global Experiences Data Science team, sitting at the intersection of cutting-edge analytics and customer-facing products and reporting to the Manager of Global Experiences Data Science to influence how millions experience Atlassian’s suite. You’ll lead the full data science lifecycle—from defining the right questions and building robust models to influencing product strategy and communicating insights to senior leaders—and act as a force multiplier by partnering with Product, Engineering, and Design to drive outcomes at scale. You’ll define and drive the data science strategy for your product area, translate ambiguous business problems into rigorous analytical frameworks, and lead end-to-end development of ML models and statistical analyses, including problem framing, data acquisition, experimentation, deployment, and ongoing evaluation. You’ll own experimentation infrastructure and methodology for your domain (A/B test design, power analysis, interpretation of results at scale), identify high-impact opportunities through exploratory analysis, and mentor junior and mid-level data scientists while contributing to hiring and capability-building. You’ll communicate findings to senior stakeholders, collaborate to define metrics frameworks and guardrail metrics, and drive adoption of best practices in feature engineering, model monitoring, and responsible AI/ML across teams.

Atlassian is seeking an experienced commercial counsel to join its Commercial Legal team to support enterprise transformations and partner with Sales to close deals with enterprise customers in the Central/West U.S., Canada, and LATAM. The role offers flexible work options (office, home, or hybrid) and may hire people in any country where Atlassian has a legal entity. Key responsibilities include negotiating enterprise cloud agreements, guiding customer requests, developing training and materials for Sales on contract terms, leading cross-functional quote-to-cash projects, and driving complex deals with teams across Privacy, Trust, Finance, and Product. The right candidate will be owner-driven, collaborative, resilient under tight deadlines, empathetic in customer conversations, able to navigate a decentralized global organization, and possess strong knowledge of software, cloud services, generative AI, and tech trends, with the ability to articulate risk-based recommendations. They should think creatively beyond traditional legal boundaries to propose solutions that balance company risk and customer needs and effectively communicate rules and requirements to both the business and customers.

At Atlassian, you can work in an office, from home, or a hybrid, and the company hires in any country where it has a legal entity. The employer is seeking a senior full-stack engineer for the DX team, comfortable with Ruby on Rails, raw SQL, React, and TailwindCSS. You’ll own end-to-end feature work in a cross-geo distributed environment, building scalable backend REST APIs and customer-facing UI, while ensuring code quality, testing, and performance. You’ll collaborate with product and design to shape problems, refine requirements when specs are unclear, review code, and maintain visibility through error reporting and monitoring within an Agile process. You’ll take end-to-end ownership from architecture to rollout, write performant SQL for complex data workloads, and contribute to engineering practices around data correctness, reporting, reliability, and tooling.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The company is building narrative authority in AI, and this role is central to turning product and AI insights into a distinctive executive social presence. You’ll partner with social media, product marketing, communications, and senior leaders to develop social content that is credible, timely, and worth attention. The position sits at the intersection of AI fluency, executive voice, and social platform craft, translating complex AI concepts for engineers, founders, and enterprise buyers to engage with. Key duties include shaping executive social voice, tracking AI discourse, turning insights into content across platforms, establishing cadence, advising on participation, collaborating across functions, and measuring performance to refine the approach.

At Atlassian, you can work wherever you prefer and the company hires globally where it has a legal entity; they’re recruiting a Senior Principal Technical Program Manager to shape and deliver the highest-priority, most complex programs across Enterprise and Emerging Businesses, reporting to the Head of Program Management and joining the Program Management Technical craft as a senior IC. The role brings clarity to ambiguous problems, aligns senior leaders across functions, and establishes operating mechanisms that translate strategy into measurable customer and business outcomes, partnering with leaders across Product, Engineering, Design, GTM, Finance, Legal, Security, IT, and Transformation. Work spans near-term market launches to multi-year platform migrations, monetization, and operating-model transformations, with accountability for outcomes rather than just project plans and a focus on reusable systems and coaching to raise the program-management craft. Key duties include owning portfolio-level outcomes, leading end-to-end cross-functional delivery, turning ambiguity into clarity, driving strategic launches and transformations, influencing senior leaders, establishing scalable governance and readiness mechanisms, and measuring impact on customer, revenue, and operations. In the first 12 months, success means establishing an integrated view of strategic programs with dependencies and risks, delivering high-impact programs with clear customer/revenue/operational impact, improving executive visibility and decision velocity, introducing at least one reusable program-management mechanism, and building durable partnerships with senior leaders as the go-to operator for the portfolio’s most ambiguous cross-functional problems.

- Atlassian offers a flexible, distributed-first work model with virtual interviews and hiring in any country with a legal entity, with more details at go.atlassian.com/distributed. - The Intern Program combines hands-on training, professional growth, mentorship, and exposure to innovative technologies like AI to shape a future career in product management. - The internship is located in the Pacific Time Zone and requires candidates to work there; it is not eligible for F1/J1 visas or any sponsorship. - From day one, you’ll collaborate with product, design, and engineering teams, engage with customers and partners, translate insights into action plans for new features, and research competitors and AI tools to build prototypes. - Eligibility requires current full-time technical enrollment returning after the internship with expected graduation by June 2028, availability for 40 hours per week, and interest in analyzing technology products, customer needs, market dynamics, and applying AI to improve product functionality and UX.

Atlassian aims to reinvent B2B selling by delivering products that delight customers and removing friction to boost sales and adoption in a fast-growing, multi-billion business. The Principal Analyst, Sales Strategy & Operations, will be an operational partner to the Global Solution Sales Engineering (SSE) organization, shaping in-period performance and scalable growth through data-driven decisions. They will collaborate with SSE leadership across geos and segments to drive forecasting discipline, pipeline management, and consistent support for the SSE operating model. Responsibilities include coverage and capacity planning (territory design, headcount), sales process design and optimization, and initiatives to improve productivity and funnel metrics, with exploration of AI and automation opportunities. The role requires blending operational excellence with knowledge of solution and specialist sales motions and strong communication across analysts, front-line managers, and senior sales leadership, while partnering with Central Operations, Analytics, Sales Acceleration & Systems, and Enablement teams for cadence and performance reporting.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. - The Risk and Compliance Senior Manager will drive Atlassian’s risk and compliance strategy across cloud and enterprise programs and lead cross-functional initiatives. - Responsibilities include owning the annual compliance plan, managing internal control programs, leading audit activities across frameworks (SOC 2, ISO 27001, HIPAA, etc.), and addressing control deficiencies with remediation follow-up. - The role requires aligning objectives with broader goals, building strategic business cases, advising stakeholders, sharing knowledge, and driving continuous process improvements for risk and compliance. - Qualifications include 7+ years in technology risk/compliance/security, deep expertise in relevant frameworks, experience with external audits and internal controls, strong cross-functional collaboration and communication skills, and possible certifications (CISA, CISM, CRISC, CISSP) plus familiarity with Jira/Confluence.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, delivering products like Jira Software, Confluence, and Jira Service Management that help teams collaborate and deliver quality results for Fortune 500 companies and over 300,000 organizations worldwide, including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team focuses on mid-sized customers, pursuing cloud-first opportunities, cross-sell and user expansion, nurturing relationships, and meeting revenue targets, while acting as advocates for customers and feeding feedback to product and engineering to improve the experience. The role requires close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, with a commitment to guiding Atlassian deployments at scale in alignment with Atlassian values. Responsibilities include owning ~40 Mid Market accounts (200–10,000 seats) with a $2–4M annual quota, leading a cross-functional deal team as quarterback, building executive-level relationships, and using MEDDPICC to qualify, advance, and win complex opportunities through outcome-based selling. additional duties include sourcing and qualifying leads, negotiating contracts and pricing, maintaining a healthy pipeline with accurate forecasting, staying updated on industry trends and competitors, and traveling occasionally for customer meetings, industry events, and team gatherings.

Atlassian supports flexible work locations and hires globally; the Forward Deployed Architect (FDA) is a trusted transformation architect, not a traditional engineer, embedded with 1–3 strategic accounts for 3–9 months and traveling up to 50%, reporting to the Head of Solution Architects. The FDA turns a CIO’s vague modernization goals into a credible, phased, AI-native architecture and a business transformation plan across HR, Finance, Marketing, PMO, Operations, and Engineering. In Business Transformation & Expansion, the role designs the System of Work using Jira, Confluence, Rovo, and the Atlassian platform; leads cross-functional process and operating model design, expands adoption beyond development teams, and drives AI adoption with change management and success metrics. In Architecture & Technical Design, the FDA owns the target-state architecture for the System of Work, designs the full stack (including identity, data residency, integrations, Forge/Connect, and migration paths), and ships durable artifacts like reference architectures and Terraform/IaC modules. In Orchestration & Influence, the FDA leads executive discovery, translates outcomes into capability roadmaps, coordinates cross-functional delivery, mentors engineers, and represents Atlassian externally through talks and publications while feeding product with field patterns.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. - The role is in the Guard product team, Atlassian’s enterprise control plane that governs who can do what, under what policy, with what proof, inside Atlassian. - The team advances five pillars—Identity & access foundations, Roles & permissions, Policy platform, AI & agent governance, and Governance experience—to build the primitives that enable enterprise identity and governance inside Atlassian. - The move is driven by rapid agent usage, enterprise migration needs tied to identity and policy foundations, and a Premium upsell linked to continuous governance, with identity ownership currently fragmented across engineering groups. - The role is a senior, cross-cutting Principal PM responsible for ambiguous, cross-team problems across identity, policy, admin, and AI governance, driving strategy and platform tradeoffs, collaborating with multiple teams, delivering end-to-end scenarios, and representing the team to enterprise customers and internal stakeholders.

Atlassian allows flexible work locations—office, remote, or a blend—and hires in any country where it has a legal entity to help employees support family and personal priorities. The Revenue Operations team is a strategic partner to Atlassian’s customer-facing organizations, turning business priorities into clear operating plans, scalable processes, and reliable insights to improve post-sales planning, execution, and measurement at scale. The role sits on a team that provides operational foundations for Atlassian’s post-sales business, offering support across Partner & Alliances, Customer Success, and cross-functional Strategy & Analytics to help leaders coordinate priorities, define reporting needs, and run effective business rhythms. Key responsibilities include shaping operational priorities with senior leaders, coordinating cross-functional programs and governance for leadership reviews and roadmaps, translating business questions into analytics requirements, and building scalable data and reporting frameworks across platforms such as Salesforce, Gainsight, and Tableau. The role also focuses on improving data quality and usability, driving automation and AI-enabled workflows to increase speed and scale, and producing concise, leadership-ready materials that explain progress, risks, tradeoffs, and recommendations.

Atlassian offers flexible work options—office, remote, or hybrid—with a preference for candidates in the San Francisco Bay Area or US West Coast, but hires are possible anywhere with a legal entity. As Lead Design Technologist, you lead projects that affect multiple departments and deliver high-quality, scalable design technology solutions that empower product builders across Atlassian and advance prototyping, motion, and AI-led workflows. You'll join the Design Technology team within the Core Design organization, building foundational tools, components, and AI-native workflows and collaborating with product, engineering, and accessibility experts for enterprise-scale, coherent design. The role includes shaping Atlassian’s product-building culture, championing best practices, accelerating innovation through AI tooling, mentoring less experienced designers and technologists, and identifying opportunities to enhance workflows via custom tooling and automation. You should demonstrate advanced skills in JavaScript frameworks, prototyping, and motion design, co-create sense-making artifacts, drive adoption of best practices in design technology, and contribute to continuous improvement.

At Atlassian, employees can work in an office, from home, or a mix of both, and the company hires globally where it has a legal entity. The text introduces DX, a fast-growing SaaS company based in Salt Lake City that helps engineering leaders build high-performing teams and collects data to provide insights on developer productivity for major companies. DX has grown profitably, tripling its annual recurring revenue in recent years, and was recently acquired by Atlassian to accelerate growth and R&D. DX emphasizes mastery and high performance, valuing individuals who excel at their craft and rewarding those who do so, while acknowledging we can’t control all outcomes. The described role involves full-cycle sales—from first touch to close—plus running proofs of concept, demos, and business cases, building a disciplined pipeline, gathering customer feedback to inform product and GTM improvements, and staying current on industry trends.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity. The role leads the Agentic AI Integrations team, focusing on the Rovo MCP Server and agent-to-agent integrations, and aims to leverage AI capabilities like Claude Skills and ChatGPT/Claude Apps across the Atlassian ecosystem. It emphasizes building bleeding-edge AI technologies and moving from prototypes to scalable enterprise-grade AI products used by thousands of developers and enterprise users. Key responsibilities include building and mentoring a team, delivering technical strategy for multi-agent systems (MCP and A2A), partnering with Product, Platform, and Data Science teams to embed AI capabilities, maintaining high-reliability services with a 4 9s SLA while optimizing for cost and latency, and representing Atlassian in AI interoperability working groups. Requirements include 8-10+ years in software development with at least 4+ years in people management, hands-on AI/ML platform engineering or agent frameworks experience, proficiency in Python, TypeScript, or Go, and a systems-thinking background with experience in high-scale distributed systems, vector databases, and observability pipelines.

- Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity, serving 300,000+ customers worldwide, including NASA and Coca-Cola. - The goal is to unleash every team’s potential through powerful software, delivering exceptional customer impact and ongoing revenue growth, guided by the value of “play as a team” and a culture where employees work with Atlassian, not for Atlassian. - There is strong earning potential for the sales team, supported by a vast enterprise market and customer preference for Atlassian products. - The role involves building and nurturing relationships with key stakeholders, negotiating complex contracts, and collaborating with internal teams to ensure customer satisfaction, requiring a customer-focused, creative hunter mindset—especially with Fortune 500 companies. - Responsibilities include developing named account or territory plans, executing strategic sales plans, qualifying leads, presenting and closing deals, maintaining executive relationships, negotiating pricing, providing accurate forecasts, staying updated on industry trends, traveling as needed, and running strategy plays for designated accounts or territories.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity to support employees’ priorities. - They are seeking a Product Manager for Rovo Chat, Atlassian’s AI-driven conversational interface, to drive vision, strategy, and execution within the Central AI team. - Core responsibilities include shaping the strategic vision and roadmap for Rovo Chat and identifying opportunities to grow adoption and MAU while balancing user value with business outcomes. - The role involves driving intelligent chat experiences that connect users to knowledge across Jira, Confluence, Bitbucket and third-party sources, advancing multi-turn dialogue, context, memory, and proactive assistance, and coordinating with engineering, design, data science, GTM, and enterprise teams from ideation to launch. - It also entails defining success metrics for chat quality and adoption and championing responsible AI practices to ensure safe, transparent, and inclusive conversations.

DX Fabric is the foundational platform that provides architectural context, health signals, and impact measurement to enable AI-native engineering, offering a unified software catalog, scorecards, and self-service tools to understand the entire software ecosystem, find bottlenecks, and drive improvements at scale. As AI agents become integral to engineering workflows, DX Fabric supplies the necessary context—ownership, dependencies, standards, and guardrails—so they can perform effectively. The team operates like a startup inside Atlassian: a small, fast-moving group with minimal meetings and bureaucracy, engineers owning broad surface areas, focusing on end-to-end UX, collaborating with product and design, and iterating quickly on customer feedback; the role is fully remote and open to candidates across US time zones, with a preference for Pacific or Mountain Time. In this role you will build and ship features daily in a scalable, cross-geo environment, emphasize backend-heavy full-stack development with robust REST APIs and customer-facing React components, and review code with a focus on readability, testing, reliability, security, and performance within an Agile process. You’d work on Systems Catalog, Scorecards, and Self-Service & Agent Ops, tackle scale challenges for customers with hundreds of thousands of repositories, and use a tech stack of Rails, React, TailwindCSS, and PostgreSQL, prioritizing simple, effective solutions to user problems.

Atlassian offers flexible work options, letting employees work in an office, from home, or a hybrid arrangement to support personal goals and priorities. They hire in any country where they have a legal entity, and data is central, with billions of events ingested monthly to fuel analytics across dozens of teams. The company is seeking an Engineering Leader for the Data Engineering team to build data products that power GTM (Marketing and Sales) strategy and key organizational decisions. The leader will build and scale data systems, shape technical strategy and architecture, and develop data products for reporting, analytics, data science, machine learning, and AI workloads. As a data domain specialist, they will collaborate with IT, data platform, product engineering, GTM stakeholders, analytics teams, and data scientists to support multiple programs.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where it has a legal entity, serving over 300,000 customers worldwide including NASA, IBM, Hubspot, Samsung, and Coca-Cola. The company aims to unleash the potential of every team through powerful software, deliver exceptional customer impact, and ensure ongoing revenue growth, operating with a team-focused culture where employees work with Atlassian, not for Atlassian, and openly share knowledge. There is strong earning potential for the sales team supported by the vast enterprise market and customer preference for Atlassian products, and Atlassian is leading the responsible integration of AI into cloud products to migrate customers to the cloud with transparent costs, faster collaboration, and accelerated business outcomes while executing a powerful sales strategy. The role involves guiding the use of various products and services for high-value strategic customers, understanding their long-term goals, and developing customized growth strategies while nurturing relationships with key decision-makers and collaborating with internal teams, Channel Partners, Product Specialists, Account Managers, and Solution Engineers. Responsibilities include developing and implementing named account or territory plans, being the main contact for designated accounts, building executive relationships, leading negotiations, conducting market research, maintaining product knowledge, providing forecasts, traveling as needed, and mentoring junior sales team members.

Atlassian offers flexible work locations—office, home, or hybrid—and hires people in any country where it has a legal entity to support families, personal goals, and other priorities. Jira helps teams plan, track, and deliver across industries and is used by hundreds of thousands of organizations; as AI changes collaboration, Jira is evolving into an intelligent platform that works alongside teams. The role sits at the center of Jira's AI transformation, building experiences where agentic systems and human teams collaborate, and will lead the design vision for Jira as an intelligent platform with agents that plan, execute, and report progress as teammates; you’ll oversee 8–12 designers and partner with product and engineering leadership. Why Now: Jira is in early stages of a multi-year transformation around agentic AI, with no established design patterns or trust models yet, making this an opportunity to define them; the role is ideal for designers who have shaped agentic or platform‑level AI experiences. Candidate profile: requires direct experience designing agentic AI or AI platforms, technical depth to collaborate on architecture and model behavior, a track record of leading large-scale enterprise or developer-facing products, and experience managing teams of 8+ designers; strategic importance: Jira is Atlassian's flagship product, agentic AI is the next platform shift, with a greenfield opportunity to create new design language and trust models.

Atlassian offers flexible work locations and can hire globally where they have a legal entity. Dev Infra builds the tools and infrastructure used by every Atlassian engineer, and they are hiring a Senior Principal Engineer for the AI Foundations team to ensure AI works across the software development lifecycle. The role involves setting the technical vision, staying hands-on by prototyping and coding, and leading by doing to build foundational AI systems for measurement, context, and scalable, affordable operation. The person will provide real signal about AI impact, collaborate with engineering and product teams, and decide when to buy, build, or build bespoke solutions. They will also grow the team by mentoring senior engineers, aligning principals, and expanding what's possible.

Atlassians can choose where they work—office, home, or a combination—so they can support family, personal goals, and other priorities. Atlassian hires people in any country where they have a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you will contribute to Atlassian’s biggest bet and fastest-growing area, Rovo Chat, bringing bleeding-edge innovations and building agent harnesses that deliver major improvements in quality, reliability, and latency. You will lead other engineers from technical design to launch and collaborate with other teams and internal customers to set expectations, gather input, and communicate results, with a pivotal role in realizing AI’s transformative potential across offerings. The Rovo & AI Engineering org’s mission is to make Rovo the fastest, most trusted way for teams to find, understand, and act on their organization’s knowledge, and the product has seen a 10x growth in surface over the last year.