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The Sales and Success Strategy team at Atlassian develops customer-centric go-to-market strategies using data-driven insights to drive sustainable growth, optimize the sales process, and increase market share while delivering rich customer experiences. Atlassian is seeking a Principal Strategist to develop GTM strategies across initiatives, using qualitative and quantitative methods to evaluate opportunities and design programs that fuel P&L growth from customers. The role involves turning ideas into actionable GTM plans, conducting internal and market due diligence, applying relevant frameworks, and creating scalable options to meet fiscal-year goals and long-term targets, with a strong emphasis on SaaS business models. The candidate will analyze complex information, test and iterate new ideas, perform financial and market analyses, synthesize a point of view, and make recommendations to executive leadership, seamlessly moving from high-level concepts to detailed insights. It requires leading multi-layered stakeholder management across the organization, influencing from front-line staff to the C-suite, building trust and cross-functional support to achieve shared goals.

- Atlassian’s mission is to unleash the potential of every team through open work, and the CSM role at DX partners with customers to drive engineering transformation using the platform, spanning implementation, rollout, and eventual renewal. - The CSM focuses on ensuring customer success by driving product utilization, aligning with business goals, and supporting high-value use cases within the company. - Atlassians can work anywhere—office, home, or a hybrid—and the company hires globally wherever it has a legal entity, with a collaborative culture and influential decision-making. - Responsibilities include owning the full customer lifecycle, creating and tracking a customer success plan, meeting net renewal and expansion targets, forecasting renewals, and leading executive conversations to drive growth. - The role also aims to establish DX as a strategic driver for customers, identify expansion opportunities, collaborate across functions, and proactively track key account metrics for continuous improvement.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity to support employees’ family, personal goals, and priorities. The Trust Engagement team is a globally distributed group of security and compliance professionals focused on helping customers perform risk assessments to trust Atlassian and its Cloud products. As a Senior Manager, you will drive growth and expansion of how we earn and maintain customer trust, oversee the team’s interactions with Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and lead a high-performing AMER-based team. You will lead process improvements, influence security and compliance product features, strengthen customer engagement, support executive briefings, and negotiate security and compliance terms for customer agreements, while serving as the primary contact for strategic and enterprise escalations. The role requires 10+ years in senior management across security, governance, risk, and compliance; demonstrated leadership and cross-functional influence; experience scaling trust programs; familiarity with AI tooling and AI security considerations; knowledge of certifications; and background with large-scale enterprise cloud solutions.

Atlassian offers flexible work options and can hire globally; its Trusted Data Platform (TDP) provides secure, scalable data storage, and TDP SQL is its managed relational database platform. The company is seeking a Senior Engineering Manager to lead the TDP SQL team and be accountable for the team's people, strategy, execution, and operational outcomes, partnering with senior engineers, product and program leaders, infrastructure teams, security specialists, and Atlassian product organizations. Responsibilities include building an inclusive, high-performing team, with effective hiring, onboarding, talent development, succession planning, and clear operating practices to support predictable execution and reduce technical debt. They must define and execute the TDP SQL strategy and roadmap, translate enterprise and product needs into measurable outcomes, own reliability and compliance, establish SLAs and incident response, and ensure data residency, encryption, backup/recovery, and multi-cloud operability. The role also requires cross-functional leadership to manage costs, drive platform adoption, govern architectural direction across clouds, and make investment decisions that balance customer trust with sustainable value.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever there is a legal entity. The role focuses on designing, building, and maintaining robust integrations, middleware, and webhooks that connect third-party SaaS tools with internal systems. It also involves optimizing the enterprise SaaS footprint by evaluating software requests, tracking usage, and coordinating with SAM/HAM, DevInfra, and procurement. The position includes automation and workflow engineering—creating data pipelines for provisioning, budgets, and cross-platform data syncs—along with serving as the primary technical contact for complex app integrations and troubleshooting. Additional responsibilities cover vendor and SLA oversight, licensing compliance and budgeting, and translating business needs into technical requirements for IT and development teams, with experience in developer AI integrations and enterprise usage tracking frameworks.

Atlassian offers flexible work locations and hires in any country where it has a legal entity. The role is a Senior Manager for Atlassian Government Cloud, responsible for building and maturing release components end-to-end and leading a 10-15 engineer team to support multiple product teams and hundreds of service teams, including go/no-go decisions and a shift to operator-approved releases. Responsibilities include owning the government release process (planning, versioning, readiness, cutover, rollback), managing the release calendar and dependency map, defining “ready to ship” criteria, and serving as the escalation point for release-impacting incidents, including after-hours. The role involves coaching and growing the team, building bench strength, and driving a multi-quarter roadmap to reduce release risk and cycle time using trunk-based development, feature flags, progressive rollout and canaries, automated release gates, and one-click rollback, while partnering with platform teams to scale tooling and reduce toil. Collaboration spans Engineering, Product, QA, SRE, Support, Security, Docs, Marketing, and Legal/Compliance, with communication of status to senior leadership, blameless post-release reviews, and turning findings into process or tooling changes, all while ensuring releases meet change-management and audit requirements (SOC 2, ISO 27001, FedRAMP, PCI, or SOX) without turning delivery into paperwork.

The Principal ML Engineer leads the development and deployment of AI capabilities in Atlassian products, guiding system and model architectures, experimentation, and collaboration with product, engineering, and analytics teams. They provide technical leadership and execution by tackling the largest and most complex problems, setting direction for systems and capabilities, and planning multi-quarter architecture initiatives. They design, develop, and deploy production-grade ML models (including ranking, retrieval, and LLM-based systems), conduct rigorous experiments, build robust feature pipelines, and oversee end-to-end production deployment with continuous evaluation. They collaborate across functions with product managers, designers, and engineers to integrate AI/ML into products, align company-wide programs, and translate complex concepts for technical and non-technical stakeholders. They mentor and coach engineers, foster innovation and learning, contribute to scalable department programs, and make decisions by balancing speed, risk, and impact while ensuring that multiple capabilities fit into larger products and platforms.

Atlassian offers flexible work options and hires globally; this role is based in the United States with a strong preference for Pacific or Mountain time zones and requires regular travel to Sydney, San Francisco, and Seattle. The role is Head of Product for Jira, responsible for leading Jira’s experience, AI, and customer adoption, and for shaping how humans and agents collaborate within Jira. You’ll lead a global team of product managers across Australia, the United States, and India, reporting to Jira’s Head of Product and acting as an immediate deputy for strategy, team building, and executing major initiatives. Key responsibilities include owning the multi-year product strategy for human-agent collaboration, guiding the core Jira experiences (work items, boards, lists, backlogs, plans, views, and mobile), defining AI and Teamwork Graph context, and driving agent adoption from onboarding to habitual use. You’ll also partner with leaders across Atlassian, especially in the Teamwork Collection and AI groups, build an experience-led product culture, and serve as the senior product voice with customers and the market.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally in any country where they have a legal entity. The Central AI Org aims to drive AI innovation across Atlassian products, build a robust AI infrastructure, and create a centralized search, Q&A, and conversational AI system integrated across products while exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML by building productive tools for development, deployment, measurement, and operation of AI/ML models for Atlassian teams and the broader ecosystem. The Senior ML System Engineer on the Inference team will design and optimize large-scale model serving end-to-end, encompassing distributed infrastructure (global KV cache, continuous batching, load balancing, auto-scaling) and low-level optimizations (GPU kernels, quantization, speculative decoding). Responsibilities include architecting scalable serving, optimizing latency and throughput under production workloads, building high-concurrency systems, benchmarking and accelerating inference engines, enabling CI/CD for model deployment and inference updates, and collaborating with senior ML engineers to fine-tune open-source LLMs and deploy them.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country where they have a legal entity to help teammates balance family, personal goals, and priorities. The Senior Machine Learning Engineer – Agentic Search role sits in Atlassian’s Agentic Search team within Search Relevance, building systems that help people and AI agents discover enterprise knowledge and accomplish tasks across products and tools. The team designs systems that interpret intent, plan searches, use tools, and adapt as new evidence emerges, guided by rigorous benchmarks that reflect realistic tasks and aim to improve the full search experience and interfaces. Responsibilities include delivering agentic search capabilities via APIs and Protocols like the Model Context Protocol (MCP), creating reproducible benchmarks, enabling trustworthy comparisons, improving models, tools, and interfaces, and collaborating across product, search, and AI teams while mentoring others and integrating agentic search into customer experiences. Required background includes a CS degree or equivalent, 4+ years of production ML experience, strong Python, experience with LLMs, information retrieval, or NLP, experimental design and evaluation, daily use of AI tools, and the ability to lead ambiguous projects; preferred but not required are experience building agents, APIs/interfaces for AI agents (including MCP), benchmark development, and experience with semantic/hybrid retrieval, LLM fine-tuning, and cloud ML environments like Spark, AWS, or Databricks.

Atlassian offers flexible work choices—office, home, or a hybrid arrangement—and hires in any country where the company has a legal entity. The Product Data Engineering organization is seeking a Senior Data Engineer who reports to the Senior Data Engineering Manager. The role focuses on designing premier data architecture and solutions that drive strategic decision-making, while translating operational needs into technical requirements and driving efficiency initiatives. Key responsibilities include partnering across engineering teams, mentoring junior engineers, collaborating with leadership and data scientists to prioritize data needs, and building scalable data solutions, ELT/ETL pipelines, robust data models, and data quality frameworks. Additional duties involve owning the end-to-end data engineering lifecycle, participating in on-call rotations for platform stability, and working with software teams to develop next-generation self-service data systems.

Atlassian offers flexible work options and hires globally wherever it has a legal entity, giving employees control over family and personal priorities. They are hiring a Lead Product Designer to join the AI Design team, focusing on AI experiences across Atlassian including the flagship Rovo product. The team is primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo, collaborating across Jira, Confluence, and Loom, designing AI with AI, and partnering with leadership and cross-functional teams to create a unified view of AI capabilities while advocating for the user experience. Requirements include 7+ years of enterprise software product design experience, experience with applied AI in areas like Search, AI Chat, and Agents, and being a systems thinker who can coordinate multiple teams and improve processes to accelerate adoption of new capabilities.

Atlassian is investing in Generative AI and is seeking a Principal Machine Learning Systems Engineer (P60) to lead the technical directions of GenAI products and knowledge innovations in the US. The role focuses on building and scaling systems that power advanced GenAI products with enterprise knowledge, rapid prototyping, and applied research, bridging cutting-edge algorithms with reliable, high-performance infrastructure. Responsibilities include designing and building scalable ML systems for training, fine-tuning, and serving large language models and embeddings, and developing retrieval, hybrid search, and RAG pipelines integrated with knowledge-grounded data. It also emphasizes enabling rapid prototyping and applied research, partnering with scientists to create POC systems and evolve them into reliable, scalable services, while optimizing latency, throughput, and resource efficiency for GenAI workloads. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity, reflecting a global, distributed team and collaboration across ML engineers, backend developers, and product teams to ship end-to-end GenAI innovations.

Atlassian lets employees choose where to work—office, home, or a hybrid setup—and hires globally with virtual interviews and onboarding as part of being a distributed-first company. They are seeking a Principal Machine Learning Scientist for the Central AI team based in Bellevue, WA. The Central AI organization builds the core infrastructure, data pipelines, frameworks, and models to accelerate AI feature development and is part of the Atlassian Intelligence program to drive AI innovation and provide cohesive AI experiences, including shared capabilities like search and knowledge discovery. While most AI initiatives will be developed by federated product teams, Central AI provides the underlying infrastructure and common experiences to prevent silos and enable unified AI functionality across the company. The role involves designing system and model architectures, conducting experiments and evaluations, training advanced models, collaborating with product, engineering, and analytics teams, and mentoring junior ML engineers to realize AI's transformative potential across Atlassian's offerings.

Atlassian allows employees to choose where they work—office, home, or a mix—and hires in any country where there is a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. The Senior ML System Engineer in the Rovo GenAI Platform team will build and maintain the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines, powering Atlassian's GenAI products. You will apply your software development expertise to solve difficult problems and tackle complex infrastructure and architecture challenges. You will have the opportunity to lead other engineers on projects from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian offers flexible work options (office, remote, or hybrid) with virtual interviews and onboarding, and the company can hire in any country where it has a legal entity. They are seeking a Senior Machine Learning Engineer to join the Confluence Cloud AI team, which builds ML solutions to drive revenue, expand the active user base, and forecast top-line metrics. The role covers the full ML lifecycle—from problem definition and data preparation to modeling, experimentation, deployment, and iteration—with an emphasis on forecasting models and production-quality architectures. You will collaborate with teams across Growth, GTM, Product, Finance, and Sales, build scalable ML infrastructure, translate complex problems into practical solutions, and mentor junior ML engineers while explaining concepts to both technical and non-technical audiences. The position prioritizes high-quality output balanced with business practicality, rapid iteration, and measurable customer and business outcomes in a highly collaborative environment.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a combination to support personal goals and priorities. The company hires people in any country where it has a legal entity. The role involves tackling large, complex problems from technical design to launch and providing technical leadership on high-impact projects. It requires addressing complex architecture challenges, applying architectural standards, and championing high technical standards across the organization. The role also includes partnering with engineering teams on company-wide initiatives, sharing best practices to raise engineering excellence, and mentoring the next generation of technical leaders at Atlassian.

Atlassian supports working from anywhere and hires globally where it has a legal entity. The Service Collection initiative aims to build a modern enterprise service management operating system, and they’re hiring a US-based Outbound Product Manager to turn High Touch GTM plays into a repeatable product and commercial advantage with cross-functional collaboration. The OPM role is not quota-carrying nor a conventional PMM; it sits at the intersection of product strategy and the field, acting as a mini GM who identifies enterprise patterns and converts customer and competitive evidence into product action. Key responsibilities include owning the operating system for priority plays, turning field signals into strategy, leading cross-functional execution without formal authority, and building durable mechanisms like playbooks and dashboards. Requirements include significant enterprise product or related experience, the ability to translate ambiguous problems into executable plans, strong communication and analytical judgment, influence without formal authority, willingness to travel, and preferred experience in service management, security/compliance, and field-to-product mechanisms.

Atlassian supports flexible work locations and hires people in any country where it has a legal entity, helping employees balance life goals with the company's mission to unleash the potential of every team. Central to that mission is the Teamwork Graph, a real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities across Atlassian and connected tools. They believe the next AI-powered frontier is personal working environment context—knowing who you collaborate with, what you’re actively working on, and which documents matter now—so Rovo Chat, agents, and the TWG CLI can deliver precise, relevant, actionable answers. The Principal Machine Learning Engineer (P60) will lead and design knowledge graph projects to build this personal context layer and scale it through Rovo Chat and the Teamwork Graph CLI, including building Personal Work Context Graphs, inference pipelines, schemas, permissions, and evaluation frameworks. Responsibilities include integrating context into Rovo Chat, delivering low-latency, permission-safe APIs and CLI experiences, enabling MCP-compatible agents to query a user’s work environment in real time, and providing technical leadership across Knowledge AI, Teamwork Graph, and product teams with a focus on privacy-safe AI and data quality.

At Atlassian, you can work flexibly from an office, home, or hybrid arrangement, and the company hires globally with virtual interviews and onboarding as part of its distributed-first approach. As a Senior Application Engineering Manager on the Corporate Engineering – Finance Technology team, you will lead a multi‑level group to work on Oracle Fusion Cloud and other Finance SaaS applications, driving transformations, automations, AI/ML, and Finance modernization. You will guide run‑the‑business operations and projects from design to launch, maximize Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), and drive automation using RPA and low‑code/no‑code tools while integrating Fusion with a best‑of‑breed SaaS footprint (Zuora, Coupa, Anaplan, Avalara, Fieldglass). This is a highly visible, metrics‑driven role that collaborates with diverse teams, ensures OKRs and SOX compliance with Internal Audit, and tackles complex architectural challenges, code reviews, and high‑risk bug fixes. Key qualifications include 9+ years as a hands‑on senior engineering manager in Core Finance, expertise in Oracle Fusion Cloud and related SaaS systems, automation/RPA/BRE tooling experience, exposure to Salesforce and Databricks, familiarity with AI/ML, and strong communication skills for engaging senior Finance and Engineering stakeholders; comfortable operating a 24x7 reliable system with a passion to make a difference daily.

Atlassian offers flexible work options—office, remote, or hybrid—with a preference for someone located in the San Francisco Bay Area or US West Coast, but hires can be made in any country where the company has a legal entity. The Lead Design Technologist leads projects that impact multiple departments and delivers scalable design-technology solutions that enable product builders across Atlassian, including PMs, engineers, and designers, while driving innovation in prototyping, motion, and AI-led design workflows. You’ll join the Design Technology team within the Core Design organization, reporting to the Senior Manager, and the team builds foundational tools, components, and AI-native product builder workflows that power the user experience across all Atlassian apps, with members from design, engineering, and product. The team partners with product, engineering, and accessibility experts to create scalable, inclusive, enterprise-scale design solutions, and you’ll help shape Atlassian’s product-building culture, champion best practices, and accelerate innovation through AI tooling. Responsibilities include delivering across multiple workstreams, championing rapid prototyping and user testing, mentoring less experienced designers and technologists, identifying opportunities to enhance workflows with custom tooling and automation, solving complex design-technology issues using AI/LLMs, demonstrating advanced skills in JS frameworks, prototyping, and motion design, co-creating sense-making artifacts, and driving adoption of best practices and continuous improvement.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Product Counsel team partners with R&D and product leaders to drive rapid, responsible product innovation in the AI era. The Director of Product Counsel will counsel product and engineering on AI, data governance, IP, and platform architectures, while creating repeatable playbooks and guardrails to help teams ship AI features with velocity and confidence. The role serves as the primary legal partner for product initiatives, collaborating with Privacy, IP, Commercial, and Regulatory teams to deliver cohesive, business-focused guidance and to mature the function with modern tools and async workflows. Requirements include 8+ years of software product counseling (preferably in B2B Enterprise SaaS), a JD with bar licensure, experience in both law firm and in-house settings, strong generalist skills, comfort with ambiguity, and the ability to simplify legal concepts for product teams; familiarity with Atlassian tools is a plus.

Atlassian supports flexible work locations and hires in any country where it has a legal entity; the role described is Principal Machine Learning Engineer in the Confluence AI organization. It is a hands-on, principal-level role aimed at turning rapid advances in machine learning into high-quality, scalable AI-powered experiences for Confluence users. The position spans the full AI product development stack—from model-informed product design and evaluation to production engineering, experimentation, and long-term technical leadership. Responsibilities include setting technical direction for ML and AI initiatives across Confluence areas such as content creation, editing, summarization, recommendations, and multimodal interaction; building production-grade ML systems, evaluation loops, and infrastructure; and translating ambiguous product opportunities into tangible outcomes. It also entails cross-team collaboration to align roadmaps, identifying systemic failure modes and closing the loop with data-driven iteration, making high-leverage architectural decisions, mentoring engineers, and laying foundations for deeper, more integrated AI experiences across editor surfaces, content types, and workflows.

Atlassian offers flexible work options, including office, remote, or a hybrid approach. They hire people in any country where they have a legal entity. They’re seeking a senior technical leader to shape systems and technical direction across multiple quarters while staying close to architecture, experimentation, quality, and production systems. The role involves work across areas such as model post-training, personalization/recommendation, proactive and other agentic experiences. Responsibilities include tackling ambiguous problems end to end—defining the approach, aligning partners, driving execution, and bringing solutions safely into production.

Atlassians can choose where they work and the company hires in any country where it has a legal entity. The Search Platform team powers Rovo Search and knowledge discovery across enterprise data, making knowledge across Atlassian and external apps searchable securely, quickly, and at scale. As the technical lead for Search Serving, you’ll 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 experience. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation, and defining the architecture for online retrieval, index serving, query processing, and ML inference. You’ll establish ML production practices, advance production inference with techniques like batching, quantization, distillation, and hardware-aware optimization, and lead cross-team initiatives while mentoring engineers to raise platform maturity and accelerate innovation.

Atlassian is hiring a Senior Machine Learning Engineer for the Search & Intelligence organization to build intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines powering AI products and innovation across the company. The role leads development and productionization of advanced ML systems to improve how people discover, understand, and act on knowledge, spanning the full ML lifecycle from problem definition to deployment and ongoing optimization, and Atlassian supports flexible work arrangements (office, home, or a combination) with hires in any country where we have a legal entity. You will work 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 state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, and designing robust architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost across information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experiments and evaluations. You will collaborate with product, engineering, data science, analytics, and platform teams to integrate AI capabilities into Atlassian products, translate research into reliable production systems, identify opportunities to improve model performance and developer experience, and communicate trade-offs and results clearly to technical and non-technical audiences while helping foster a culture of experimentation and continuous learning.

Atlassian seeks a Senior ML Engineer for its Search & Intelligence org to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering Atlassian’s AI products. Employees can work from office, home, or hybrid, and the company hires in any country with a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end from problem definition to deployment and continuous improvement, with an emphasis on evaluation-driven development. Responsibilities include building evaluation datasets, benchmarks, regression suites, offline/online evaluations, error analysis, and designing scalable architectures for quality, latency, privacy, and cost, while collaborating with cross-functional teams and mentoring others. You should apply modern techniques in information retrieval, NLP, deep learning, and large language models, communicate decisions clearly across audiences, and contribute to engineering and ML best practices.

Atlassian is a global leader in team collaboration and productivity software, offering tools like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide to plan, track, and manage work. The company is dedicated to building innovative tools that drive the future of work and is seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph. The team also develops frameworks, models, and infrastructure to accelerate AI feature development across Atlassian. Atlassians can choose to work in an office, from home, or in a hybrid arrangement, and the company can hire in any country where it has a legal entity. In this role you will lead the development and implementation of cutting-edge ML algorithms and models powering AI capabilities, collaborate with product, engineering, and analytics teams, design system and model architectures, lead rigorous experiments and evaluations, provide technical mentorship, and help shape Atlassian’s AI strategy.

Atlassian offers flexible, distributed-first work arrangements—employees can work in an office, from home, or in a hybrid setup, with hires in any country where the company has a legal entity and virtual interviews/onboarding. The role is to be the backbone of Atlassian’s Agentic AI Integrations, working on the Rovo MCP Server and agent-to-agent integrations while leveraging AI capabilities like Claude Skills and ChatGPT/Claude Apps across the Atlassian ecosystem. The team seeks people eager to explore bleeding-edge AI technologies and to move quickly from prototyping to building scalable enterprise AI products used by thousands of developers and enterprises. Responsibilities include ML performance, latency and token efficiency tuning for MCP and agent-facing servers, dynamic tool discovery, context optimization, observability, automated evaluations, and semantic retrieval, plus designing and evolving MCP servers, tools, and agent APIs, building accessible React/TypeScript frontends, and integrating GraphQL/REST APIs, SDKs, streaming, and real-time data. The role also emphasizes AI/ML quality programs, CI/CD–integrated automated evaluations, safety and bias testing, enterprise security (OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses), and confirmation flows for high-impact actions to ensure maintainable, well-tested AI integrations.

At Atlassian, employees can work from an office, home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. The Senior Principal Technical Program Manager is a senior individual-contributor role with portfolio-level scope, tasked with shaping and delivering the highest-priority, most complex programs across Enterprise and Emerging Businesses and held accountable for outcomes rather than just project plans. The role requires partnering with leaders across Product, Engineering, Design, GTM, Finance, Legal, Security, IT, and Transformation, spanning multiple teams and time horizons from near-term launches to multi-year platform and operating-model transformations. You will own portfolio outcomes, drive cross-functional delivery, turn ambiguity into clarity, establish durable planning and governance mechanisms, measure impact, raise the program-management craft, and lead through influence without relying on formal authority. In the first 12 months, success includes delivering high-impact programs with measurable customer or revenue impact, improving executive visibility and decision velocity, introducing at least one reusable program-management mechanism, and building durable partnerships with senior leaders.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement, and hires in any country where they have a legal entity. The Risk and Compliance Senior Manager will drive the company’s risk and compliance strategy across cloud and enterprise programs, requiring deep expertise and the ability to lead cross-functional initiatives and influence stakeholders at all levels. Responsibilities include leading compliance program delivery (annual plan and internal control programs), championing end-to-end audit activities across SOC 2, ISO 27001, HIPAA and other frameworks, and managing control deficiencies with remediation. The role also emphasizes collaboration to align team objectives, build compelling business cases, advise partners, share knowledge, and drive continuous improvement in processes, metrics, and analytics for the risk and compliance function. Required qualifications include 7+ years in technology risk management, compliance, or information security; deep expertise in frameworks such as SOC 2, ISO 27001, HIPAA, IRAP, PCI (C5 is a bonus); proven experience with external audits and internal controls; excellent communication skills, and relevant certifications (CISA, CISM, CRISC, CISSP) with Jira/Confluence being a plus.

Atlassians can work anywhere—office, home, or hybrid—with virtual interviews and onboarding, and we hire in any country where we have a legal entity. DX is the developer intelligence platform that combines self-reported developer insights with data from the systems where software work happens to produce insights for engineering executives, developer productivity leaders, and platform teams. Product at DX expects PMs to act as compass and context engine, stay close to customers, work asynchronously with lightweight specs, and partner with a Tech Lead to define direction and quality. The Principal Product Manager for the System Insights portfolio will define vision and strategy for out-of-the-box reports, Dashboards, Data Studio, and Pulse, turn quantitative signals into trusted insights, and advance AI capabilities like DX AI, while an exceptional data product leader moves fluently across analytics, data models, information design, and business outcomes. You will collaborate with Data Cloud, Self-Reported Insights, Engineering, Design, and GTM teams; measure portfolio performance; lead growth reviews; and influence DX strategy across multiple surfaces, with US remote-friendly status and Utah preferred.

Atlassian offers flexible work options—office, home, or a hybrid—and hires in any country where it has a legal entity, helping staff support family, personal goals, and priorities. Dev Infra builds the tools, platforms, and infrastructure every engineer uses to ship software, and the AI Foundations team is responsible for making AI work well across engineering—how we measure it, the context we feed it, and the compute it runs on. In this Senior Principal Engineer role, you set the technical vision for enabling AI across the software development lifecycle, stay hands-on by prototyping the hardest parts, and lead by doing to set the engineering bar others will meet. You’ll build foundational systems that measure AI effectiveness, supply the right context, and run AI reliably and affordably at scale; give engineers and leaders real signal instead of hype, partner with engineering and product teams to shape internal tools and the AI capabilities we ship to customers, and decide when to buy a proven solution, when to build with product teams, or when something requires a purpose-built approach. You’ll mentor senior engineers, align principals across the organization, raise the team’s ceiling, and because Dev Infra builds the same class of developer tools Atlassian sells, your work shapes not only how Atlassian ships software but also what it ships to millions of developers.