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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.

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 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.

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 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 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 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 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 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.

- Atlassian offers flexible work locations (office, home, or hybrid) 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 helping customers perform risk assessments to trust Atlassian Cloud products, while expanding the Trust program and narrative. - As Senior Manager, you will drive growth in how Atlassian earns and maintains customer trust, oversee interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and lead strategic improvements to processes and product features to strengthen customer engagement. - You will lead a high-performing AMER-based team, contribute to strategic planning with senior leadership, partner cross-functionally to deliver customer trust outcomes at scale, and handle strategic and enterprise customer escalations as well as support executive briefings and security/compliance term negotiations. - The role requires 10+ years in management across security, governance, risk, and compliance; experience mentoring teams; ability to influence multiple functions; experience scaling trust programs; familiarity with AI tools and AI security considerations; and knowledge of certifications such as FedRAMP, ISO 27001, PCI-DSS, plus experience with regulatory compliance and cloud security in large enterprises.

Atlassian offers flexible work options and hires globally wherever it has a legal entity. The Onboarding Team helps strategic customers maximize value in the first 60-90 days, and Atlassian is seeking a Senior Manager to lead the global Onboarding Success Managers for the Teamwork Collection. In this role, you will lead a team to drive early customer outcomes through change management planning, success planning, and technical guidance, and help scale the onboarding program and processes. You will drive strategic engagement with enterprise customers, build executive relationships, proactively guide journeys using predictive signals and standardized frameworks to drive adoption and value realization, and maintain expertise on products, use cases, and industry trends while mitigating churn. You will champion the Voice of the Customer, share insights to influence products and services, and maintain operational excellence by keeping accurate records in Gainsight and adhering to engagement frameworks.

At Atlassian, employees can work from an office, from home, or in a hybrid setup, and the company hires globally where it has a legal entity with virtual interviews and onboarding as part of its distributed-first approach. The Agentic AI Integrations team works on the Rovo MCP Server and agent-to-agent integrations, leveraging cutting-edge AI capabilities like Claude Skills and ChatGPT/Claude Apps to advance AI integrations across the Atlassian ecosystem. The role focuses on exploring bleeding-edge AI tech, rapidly prototyping to building scalable enterprise AI products used by thousands of developers and enterprise users, with emphasis on ML performance, latency, tool discovery, context optimization, observability, automated evaluations, and semantic retrieval. It also involves designing, building, and evolving MCP servers, tools, and agent-facing APIs, plus creating accessible React/TypeScript front-ends, reusable components, design-system patterns, and robust API integrations (GraphQL/REST, SDKs, streaming, real-time data) to enable easy discovery and use. Finally, the position stresses AI/ML quality programs, CI/CD evaluations for regressions, and enterprise security measures (OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and confirmation flows for high-impact actions).

Atlassian allows Atlassians to work from an office, home, or a hybrid setup and hires globally with virtual interviews and onboarding as part of being a distributed-first company. As a Senior Application Engineering Manager on the Corporate Engineering- Finance Technology team, you will lead a group of application and software engineers to modernize Finance Operations using Oracle Fusion Cloud and other SaaS, driving transformations, automation, AI/ML, and finance priorities from design to launch. You will maximize Fusion Cloud features, own Core Financial modules (OM, AR, AP, FA, GL), drive run-the-business and cross-team initiatives, and oversee integrations with a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass) while ensuring OKRs and SOX compliance with Internal Audit. The role emphasizes an automation mindset (RPA, low-code/no-code), collaboration with engineers, data scientists, and product managers, and a tangible impact on the reliability and performance of Finance systems across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit, including tackling complex architectural challenges and high-risk bug fixes. Qualifications include 9+ years as a hands-on senior engineering manager in Core Finance, expertise in Oracle Fusion Cloud and related SaaS, experience leading transformations, automation tools (RPA, Workato, Camunda), exposure to systems like Salesforce and Databricks, familiarity with AI/ML, 24x7 operations, strong interpersonal and communication skills, and a passion to make a difference.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires globally in countries where they have a legal entity. The Principal, Customer Success Portfolio Design & Transformation role is to design and build Atlassian’s enterprise customer success portfolio and engagement frameworks across segments, including initiatives like success planning, value realization, onboarding, and product adoption. It involves designing and rolling out a go-to-market approach aligned with customer milestones and business goals, and working cross-functionally with CS, Product, Sales, Strategy, and Revenue Operations to deliver consistent, high-impact customer experiences throughout the enterprise journey. The position sits at the intersection of strategy and structural design, leading transformation with CSM leaders, driving a shift to solution selling, optimizing workflows with data-backed strategies, and incorporating CMS activities into LOS design for digital and self-service, while defining GTM plays and delivery motions by segment, tier, and need. Additional duties include applying enterprise adoption theories and change management, partnering with Product and Solution Factory to create a scalable launch framework, defining a value framework to demonstrate ROI, and building a scalable enablement program with assets and partnerships with Education and self-service teams.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity; this Senior Principal Technical Program Manager role is a senior individual contributor with department- and portfolio-level scope focused on shaping and delivering the highest-priority, most complex programs across Enterprise and Emerging Businesses. The role brings clarity to ambiguous business and technical problems, aligns senior leaders across Product, Engineering, Design, GTM, Finance, Legal, Security, IT, and Transformation, and establishes operating mechanisms that translate strategy into measurable customer and business outcomes. Your work spans near-term market-facing launches to multi-year platform migrations, monetization, and operating-model transformations, and you will be accountable for outcomes—not just project plans—while elevating the program-management craft with reusable systems, governance, and coaching. You’ll own portfolio-level outcomes, orchestrate end-to-end delivery across multiple functions, manage dependencies and risks, influence senior leaders with concise, fact-based recommendations, and build durable mechanisms to improve predictability and accelerate delivery. In the first 12 months, success means establishing a trusted integrated view of strategic programs, delivering high-impact initiatives with measurable customer, revenue, or operational impact, improving executive visibility and decision velocity, introducing at least one reusable program-management mechanism, and becoming the go-to operator for the most ambiguous cross-functional problems.

As a Principal ML Engineer, you drive development and implementation of cutting-edge ML algorithms, train sophisticated models, and collaborate with product, engineering, and analytics teams to embed AI into Atlassian products and services. Your scope includes designing system and model architectures, conducting rigorous experimentation and evaluations, and guiding junior engineers to realize AI's transformative potential across offerings. Technical Leadership & Execution: you tackle the largest and most complex problems, set architectural direction, balance progress over perfection, and plan large projects to solve architecture challenges. Model Development & Experimentation: you design, deploy production-grade ML models (including ranking, retrieval, and LLM-based systems), conduct data-backed experiments, develop robust feature engineering for offline training and online inference at scale, and oversee end-to-end deployment with continuous monitoring and improvement. Cross-Functional Collaboration, Mentorship, and Decision Making: you work with product managers, designers, and engineers to integrate AI capabilities, mentor staff and scale programs, bridge gaps across teams, and make rapid, risk-aware decisions while aligning contributions with larger products and platforms.

Atlassian allows flexible work locations (office, home, or a mix) and hires people in any country with a legal entity, while the Risk and Compliance Senior Manager will drive the company’s risk and compliance strategy across cloud and enterprise programs. The role requires deep expertise in compliance frameworks, risk management, and internal controls, plus the ability to lead cross-functional initiatives and influence stakeholders at all levels, including championing audits to keep the compliance posture audit-ready across SOC 2, ISO 27001, HIPAA, and other frameworks. Key responsibilities include owning the annual compliance plan, driving internal control programs, leading end-to-end audit activities and remediation, and managing control deficiencies with clear analysis and follow-up. It also involves strategic collaboration to align team objectives with organizational goals, building business cases for cross-team issues, advising partners, sharing knowledge, mentoring, and driving continuous improvement in processes, metrics, and reporting. Qualifications include 7+ years in technology risk management/compliance or information security, deep familiarity with frameworks like SOC 2/ISO 27001/HIPAA/IRAP/PCI, experience leading external audits, strong communication skills, relevant certifications (CISA/CISM/CRISC/CISSP), and pluses such as Jira/Confluence experience.

At Atlassian, you can work where you want—office, home, or a mix—with virtual interviews and onboarding as part of a distributed-first approach, hiring globally where we have a legal entity. DX is the developer intelligence platform that blends self-reported developer insights with system data to turn signals into actionable insights for engineering executives, productivity leaders, and platform teams. Product managers at DX work closely with customers, favor async, lightweight specs, and partner with a Tech Lead to own direction and quality, focusing on pragmatic execution. The Principal Product Manager role leads DX’s System Insights portfolio (out-of-the-box reports, Dashboards, Data Studio, and Pulse), defining how data becomes trusted insights and shaping AI features like DX AI and proactive, agentic insights while connecting work across surfaces. Responsibilities include cross-team collaboration with Data Cloud and Self-Reported Insights, measuring portfolio performance, influencing broader product thinking, and operating in a US remote-friendly environment with Utah preferred.

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. The Revenue Operations team acts as a strategic partner to Atlassian’s customer-facing teams, turning business priorities into clear operating plans, scalable processes, and reliable insights to improve post-sales performance at scale. The role sits on the Future Team, providing operational support across Partner & Alliances, Customer Success, and Strategy & Analytics, helping leaders coordinate priorities, define reporting needs, and run effective business rhythms. Responsibilities include shaping operational priorities with senior leaders, coordinating cross-functional programs, and defining reporting cadences, planning calendars, and roadmap visibility for leadership reviews and strategic deliverables. Additional duties involve translating business questions into analytical requirements, architecting data needs and scalable reporting frameworks across post-sales workflows, collaborating with analytics, systems, and tooling teams to improve data quality across Salesforce, Gainsight, and Tableau, driving accountability for cross-functional initiatives, and pursuing automation and AI-enabled workflows to boost speed, consistency, and scale.

Atlassian supports flexible work locations (office, home, or hybrid), with a preference for the San Francisco Bay Area or US West Coast, but hires in any country with a legal entity. The Lead Design Technologist leads cross-department projects and delivers scalable design-technology solutions that empower product builders and advance AI-enabled design workflows. They will join the Design Technology team in Core Design, report to the Senior Manager, and work with a multidisciplinary group to create foundational tools, components, and AI-native workflows powering Atlassian apps, partnering with product, engineering, and accessibility teams. Responsibilities include shaping Atlassian’s product-building culture, championing best practices, driving rapid prototyping, user testing, cross-functional collaboration, mentoring others, and enabling AI/toolchain improvements. They will identify opportunities to enhance design workflows with custom tooling and automation, solve complex design-technology problems using AI/LLMs, demonstrate advanced JS and motion design skills, co-create sense-making artifacts, and drive continuous improvement.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity, enabling employees to balance family and personal priorities. The role centers on being the backbone of Atlassian’s Agentic AI Integration Products, working on the Rovo MCP Server, agent-to-agent integrations, and expanding AI capabilities like Claude Skills and ChatGPT/Claude Apps across the Atlassian ecosystem. It emphasizes turning bleeding-edge AI technologies into scalable enterprise-grade products used by thousands of developers and enterprises, with a systems-thinking mindset focused on security, scalability, reliability, and maintainability. Key responsibilities include leading and mentoring a software engineering team, delivering foundational components for multi-agent systems, guiding MCP and A2A protocol adoption, collaborating with Product, Platform, and Data Science teams, maintaining high-reliability services with cost and latency optimization, and contributing to AI interoperability through open specifications and industry groups. Requirements include 8–10+ years in software development with at least 4+ years in people management, hands-on AI/ML platform engineering experience or agent frameworks, proficiency in Python, TypeScript, or Go, and experience with high-scale distributed systems, vector databases, and observability pipelines.

Atlassian offers flexible work options—office, remote, or a hybrid arrangement—and hires in any country where it has a legal entity. The Dev Infra group builds the tools, platforms, and infrastructure that every Atlassian engineer uses to ship software. They’re hiring a Senior Principal Engineer for the AI Foundations team, which is responsible for making AI work well across the software development lifecycle by determining how we measure it, what context we feed it, and the compute it runs on. The role is hands‑on leadership: set the technical vision, prototype the hardest parts, write code, and raise the engineering bar by doing, while building foundational systems to measure AI, provide real signals, and run AI reliably and affordably at scale. You’ll partner with engineering and product teams to decide when to buy, build, or build something purpose-built, and you’ll mentor senior engineers and align principals across the organization to lift what the team can achieve.