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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

- Atlassians can choose where they work, whether in an office, from home, or a combination of the two. - This setup gives employees more control over supporting their family, personal goals, and other priorities. - Atlassian can hire people in any country where it has a legal entity. - This enables a global hiring footprint while complying with local laws. - Overall, the policy emphasizes flexible work options and broad geographic reach.

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

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where it has a legal entity. - The Trust Engagement team consists of security and compliance professionals who help customers perform risk assessments to trust Atlassian Cloud products, and the Senior Manager will drive growth and expansion of how trust is earned and maintained. - Responsibilities include leading an AMER-based team, coordinating with Trust & Security, GTM/Sales, Compliance, Privacy, Legal, and Customer Support, driving process, tooling, and reporting improvements, and acting as the primary escalation point for strategic/enterprise customers, plus supporting executive briefings and assisting Legal with security terms. - On day one, candidates should have 10+ years in security/governance/risk/compliance management, experience mentoring teams, cross-functional influence, experience scaling trust programs, and familiarity with AI tools and AI security/compliance considerations, plus knowledge of certifications like FedRAMP, ISO 27001, and PCI-DSS. - The role is part of Atlassian’s rapid growth of the Trust Engagement team, aimed at delivering customer trust at scale through strategic initiatives across multiple departments.

Atlassian offers flexible work options, including in-office, remote, or hybrid arrangements, and hires people in any country where they have a legal entity. Their Future Org Intern program combines hands-on technical training, professional growth, dedicated mentorship, and strong social connections to help students start a successful, impactful career at Atlassian. The internship role is located in Seattle, WA or San Francisco, CA, and candidates must be willing to work there; it is not eligible for F1 or J1 students and not available for work sponsorship. The paid internship lasts 12 weeks (May/June to August/September 2027), with interns treated as part of the development team from day one, making code changes that impact products and gaining deep full lifecycle product development knowledge. Interns report to Senior Engineers and will brainstorm, design, and implement features for Atlassian products as part of a unified R&D effort prioritizing cloud migration and continuing to deliver value across Jira, Confluence, Trello, and Bitbucket.

At Atlassian, employees have flexible work options, collaborating from home, global offices, or both, and the company hires in any country with a legal entity. The Grad++ program provides hands-on technical training, professional growth opportunities, mentorship, and social connections to help students start an impactful career, with the described role located in Seattle, WA. The position requires you to be willing and able to work from Seattle and is not eligible for F1/J1 visas or any work sponsorship. You’ll build production-ready features for Jira, Confluence, and Trello, own end-to-end projects from design through deployment, and collaborate in Agile teams with engineers, product managers, and designers. You’ll also innovate with AI/ML, tackle complex problems in distributed systems and data processing, and use data-driven insights to validate assumptions and improve products.

Atlassian offers flexible work options (office, home, or hybrid), hires globally where there is a legal entity, and conducts interviews and onboarding virtually as part of a distributed-first approach. As a Senior Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and partnering with leading organizations to solve real-world problems. You’ll work with product, engineering, and design to rapidly grow your technical and domain expertise while delivering measurable business impact in a fast-paced, high-visibility role shaping the future of AI-powered teamwork. Your duties include coding across the Atlassian product suite, leading the design, development, and deployment of AI/ML solutions using Rovo, and building robust API/microservice integrations in Python or JavaScript while guiding product direction with customers. You’ll also oversee end-to-end production deployment, manage AI risk and data privacy compliance, mentor other engineers, and communicate complex concepts to technical and non-technical stakeholders, ensuring alignment of technical progress with business objectives.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever it has a legal entity, giving employees control over family, personal goals, and priorities. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and shape the future of AI-enabled teamwork. You’ll lead the design, development, and deployment of AI/ML solutions, architect integrations using Python/JavaScript with a focus on APIs, microservices, and enterprise-scale systems, and extract insights from data to guide product direction. You’ll drive the adoption of AI-augmented workflow automation, oversee end-to-end production deployments, ensure continuous evaluation and improvement, and navigate AI risk, data privacy, and regulatory considerations while mentoring junior engineers. You’ll also communicate complex technical concepts to both technical and non-technical stakeholders and align technical solutions with business objectives to achieve measurable results.

Atlassian offers flexible work options—office, remote, or hybrid—with global hiring and virtual interviews and onboarding as part of its distributed-first approach. The Agentic AI Integrations team will serve as the backbone for AI integrations across the Atlassian ecosystem, including the Rovo MCP Server and agent-to-agent integrations, leveraging AI capabilities like Claude Skills and ChatGPT/Claude Apps. The role is for those passionate about bleeding-edge AI, turning prototypes into scalable enterprise-grade AI products used by thousands of developers and enterprise users, with a focus on ML performance, latency, token efficiency, tool discovery, context optimization, observability, and semantic retrieval. Responsibilities include designing and evolving MCP servers, tools, and agent-facing APIs; building accessible React/TypeScript experiences; creating reusable components and design-system patterns; integrating GraphQL/REST APIs, SDKs, streaming and real-time data; and improving end-to-end performance, reliability, observability, SLOs, and diagnostics, as well as semantic retrieval with embeddings, vector indexes, and hybrid search. They also mandate defining AI/ML quality programs with metrics and automated evaluations integrated into CI/CD, and implementing enterprise security and governance—OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and confirmation flows for high-impact actions.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country with a legal entity, with virtual interviews and onboarding as part of its distributed-first model. The Senior Application Engineering Manager on the Corporate Engineering - Finance Technology team will work on Oracle Fusion Cloud and other Finance SaaS to modernize Finance Operations through transformations, automation, AI/ML, and other priorities. You will lead a team of application development engineers and software engineers, drive run-the-business and projects from technical design to launch, and collaborate with internal customers to set expectations and communicate results. The role includes maximizing Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), fostering an automation mindset with RPA and low-code/no-code tools, and maintaining integrations with a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.) while ensuring metrics-driven outcomes and SOX compliance. Key qualifications include Core Finance domain expertise, Oracle Fusion Cloud and other SaaS experience, 9+ years as a hands-on senior engineering manager, transformation and automation tool experience, AI/ML exposure, 24x7 reliability, and strong interpersonal and communication skills.

- Atlassians can choose where to work (office, home, or hybrid) and Atlassian hires in any country with a legal entity. - As a Principal Engineer with the Deep Engineer archetype in Kubernetes Platform, you’ll own highly complex, high-impact outcomes from problem definition to production, applying deep expertise in agent infrastructure and distributed systems to shape the platform’s architecture and direction. - You’ll balance trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience while staying close to code and operations, and you’ll influence across teams and geographies while mentoring engineers. - Responsibilities include defining the technical strategy for secure, low-latency compute for AI agents and untrusted workloads, and leading architecture and implementation of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities, owning end-to-end cross-team initiatives. - You’ll enable portable cloud-native execution across GCP and AWS, champion operational excellence for a tier-0 platform, improve developer experience with self-service APIs and clear contracts, and set direction through proposals while growing an inclusive, high-performing team.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. In this role you’ll lead high-impact incident response in a complex cloud environment, coordinate major security incidents, and directly manage a 5–8 person team in the US region. You’ll improve the incident response system with playbooks, metrics, exercises, post-incident reviews, and better tooling, and you’ll drive the adoption of investigative AI tools and automation to speed triage, surface signals, reduce toil, and maintain rigorous security. You should bring strong incident leadership, experience guiding multi-stakeholder incidents in SaaS/cloud/enterprise settings, and proven ability to translate technical information into executive decisions, plus familiarity with logs, detection/response tooling, and cross-region coordination; experience with regulated environments or formal incident reporting is valued. The team culture emphasizes calm execution, clear communication, continuous learning, blameless reviews, and accountability, and the role offers a rare opportunity to shape Atlassian’s security operations, investigate AI-enabled workflows, and improve outcomes for customers.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity, enabling employees to balance family, personal goals, and other priorities. The Principal Enterprise Security Engineer is the senior technical authority and strategic thought leader for corporate architecture, SaaS platforms, and workforce technologies, driving the long-term vision and controls to safeguard assets while enabling scalability and innovation. Key responsibilities include defining and maintaining the end-to-end enterprise security architecture across endpoints, identity, network, and data, and leading architectural reviews of major initiatives such as AI adoption and zero-trust modernization. They provide technical SME guidance, influence platform and service design to embed security from the outset, and automate control deployment and drift detection via IaC/PaC to shorten time-to-adoption. Collaboration involves working with security, engineering, and product teams, serving as the architecture liaison between Corporate Security and Product Security, and mentoring engineers across multiple seniority levels to promote a unified security strategy.

Atlassian supports flexible work arrangements and hires in any country where it has a legal entity, and is seeking a Senior Principal Technical Program Manager to shape and deliver the highest-priority programs across Enterprise and Emerging Businesses; the role reports to the Head of Program Management for Enterprise and Emerging. You will partner with leaders across Product, Engineering, Design, GTM, Finance, Legal, Security, IT, and Transformation to span initiatives from near-term market launches to multi-year platform migrations, monetization, and operating-model transformations. You will own portfolio-level outcomes, lead cross-functional delivery, turn ambiguity into clarity, drive strategic launches, influence senior leaders, and establish durable planning, risk, readiness, governance, and benefits-realization mechanisms. You will measure business impact through qualitative and quantitative metrics, elevate the program-management craft with reusable systems and coaching, and lead through influence without relying on formal authority. In the first 12 months, success means delivering high-impact programs with clear customer, revenue, or operational impact, improving executive visibility and decision velocity, and introducing at least one reusable program-management mechanism while building durable partnerships with senior leaders.

At Atlassian, you can work from an office, home, or a mix, and the company hires globally where it has a legal entity, with products like Jira Software, Confluence, and Jira Service Management used by many Fortune 500 companies. The Mid-Market sales team focuses on mid-sized customers (200-10,000 seats), pursuing cloud-first opportunities, cross-sell and expansion, and providing customer feedback to product and engineering. In this role you will own a book of roughly 40 accounts, carry a $2-4M annual quota, and lead a cross-functional deal team as the quarterback with clear territory and account plans. You will build executive-level relationships across IT, business, sales, and marketing, using MEDDPICC to qualify and win complex opportunities with outcome-based selling across multithreaded, multi-solution opportunities. Responsibilities also include collaborating with channel, marketing, product, and customer success to maximize satisfaction, negotiating pricing and contracts, maintaining a healthy pipeline with accurate forecasting, staying informed on industry trends, and occasional travel for meetings and events.

Atlassian's DevAI initiative centers on developers, revitalizing its product lineup and deeply integrating AI into an AI-native SDLC to redefine the developer experience. The DevAI ecosystem includes code reviewers, code generation, agentic engineering, spec-driven development, and more to enhance every step of the developers’ productivity cycle. In this role, you’ll innovate core intelligence solutions within DevAI, focusing on LLM integration, prompt engineering, and building end-to-end AI features with collaboration across scientists, software engineers, and partner teams. You’ll provide strategic leadership, talent development, stakeholder management, performance oversight, and technical mentoring to align AI/ML efforts with product and business goals. Daily responsibilities include overseeing AI/ML initiatives end-to-end, allocating resources, refining engineering processes, and proactively managing risks to sustain momentum and quality.

Atlassian offers flexible work locations—office, home, or a hybrid—allowing employees to support family and personal goals, and we hire in any country where we have a legal entity. The Forward Deployed Architect (FDA) is a trusted transformation architect who blends enterprise-grade technical design with consulting-grade business acumen, embedded with 1–3 strategic accounts at a time for 3–9 months, and travel up to 50%. In Business Transformation & Expansion, they design the System of Work across functions using Jira, Confluence, Rovo, and the Atlassian platform, lead operating model changes, expand adoption beyond development into HR, Finance, Marketing, PMO, and other teams, drive AI adoption, and own the System of Work blueprint. In Architecture & Technical Design, they own the target-state architecture for the System of Work across Plans, Goals, Work, Knowledge, Code, and AI, design the full stack (identity, data residency, integrations, Forge & Connect, migrations), co-design AI-native workflows, and deliver durable artifacts such as reference architectures and Terraform/IaC modules. In Orchestration & Influence, they lead executive discovery with CIOs/CTOs and other leaders, orchestrate delivery across teams and partners, feed product with patterns from the field, mentor staff, and represent Atlassian externally through talks, publications, and community contributions.

- Atlassian offers flexible work options (office, home, or hybrid) and can hire people in any country where the company has a legal entity. - The Revenue Operations team is a strategic partner to Atlassian’s customer-facing organizations, turning business priorities into operating plans, scalable processes, and reliable insights across strategy, operations, systems, and analytics to improve post-sales performance. - You will join a team that supports the operational foundations of Atlassian’s post-sales business, providing operational support across Partner & Alliances, Customer Success, and cross-functional Strategy & Analytics. - Responsibilities include partnering with senior leaders to shape operational priorities, coordinating cross-functional programs, defining reporting cadences and roadmaps, and translating business questions into analytics requirements. - You will architect operational data requirements, establish scalable reporting frameworks, and improve data quality across platforms such as Salesforce, Gainsight, and Tableau, while driving accountability, crafting leadership-ready materials, and identifying automation and AI opportunities to increase speed and scale.

Atlassian offers flexible work options—office, home, or a hybrid arrangement—with a preference for the San Francisco Bay Area or US West Coast, but we can hire in any country where we have a legal entity. The Lead Design Technologist role involves leading projects that affect multiple departments and delivering high-quality, scalable design technology solutions that enable all product builders and advance prototyping, motion, and AI-led design workflows. The position joins the Design Technology team within Core Design, a multidisciplinary group that builds foundational tools, components, and AI-native product builder workflows powering the user experience across Atlassian apps, collaborating with product, engineering, and accessibility experts to create scalable, inclusive solutions. You will shape Atlassian’s product-building culture, champion best practices, and accelerate innovation through AI tooling and AI-toolchain workflow improvements for the entire Design organization. Key duties include delivering across multiple workstreams, championing rapid prototyping and user testing, mentoring less experienced designers and technologists, enhancing workflows with custom tooling and automation, solving complex design-technology issues using AI/LLMs, demonstrating advanced JS frameworks, co-creating sense-making artifacts, and driving continuous improvement and adoption of best practices.

At Atlassian, you can choose office, home, or hybrid work and the company hires people in any country where it has a legal entity, giving you more control over family, personal goals, and priorities. The role serves as the backbone of Atlassian’s Agentic AI Integration Products, working on the Rovo MCP Server and agent-to-agent integrations while leveraging AI capabilities like Claude Skills and ChatGPT/Claude Apps to enhance the Atlassian ecosystem. It emphasizes bleeding-edge AI technologies, moving from prototyping to scalable enterprise-grade AI products used by thousands of developers and enterprise users, with a systems-thinking focus on security, scalability, reliability, and maintainability. Key responsibilities include building, coaching, and mentoring a software engineering team; delivering foundational components for multi-agent systems and leading the adoption of MCP and A2A protocols; collaborating with Product, Platform, and Data Science teams to embed AI capabilities; maintaining high-reliability services (4 9s SLA) while optimizing cost and latency; and contributing to open specifications and Atlassian’s representation 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, model serving, or agent-framework experience; proficiency in Python, TypeScript, or Go; and experience with high-scale distributed systems, vector databases, and observability pipelines.

Atlassian supports flexible work arrangements and hires in any country where they have a legal entity. They are seeking a Product Manager for Rovo Chat, Atlassian’s AI-powered conversational interface that helps teams discover knowledge and work smarter across the digital workplace. The role will own the vision, strategy, and roadmap for Rovo Chat, focusing on growing adoption and engagement while aligning with Atlassian’s AI strategy and user needs. Responsibilities include building intelligent chat experiences across Jira, Confluence, Bitbucket and external sources (Google Drive, Slack, GitHub, Salesforce), enhancing multi-turn dialogue, memory, and proactive assistance, and delivering features from ideation to launch with cross-functional teams. Success will be measured by chat quality and adoption metrics, while championing responsible AI practices, with the role contributing to the Central AI team that shapes AI interactions for millions of users.

Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where the company has a legal entity to support employees' family and personal goals. As a Principal ML Engineer in the Rovo & AI Engineering org, you will lead Rovo Chat's development, bring bleeding-edge innovations, and guide projects from technical design to launch while mentoring other engineers. You will set the technical vision, define evaluation strategies for measures like helpfulness, correctness, judgment, and reliability, and architect production ML and evaluation systems, including datasets, simulations, automated judges, and experimentation platforms. The role emphasizes advancing agentic capabilities—reasoning, planning, tool selection and use, retrieval, memory, and long-horizon execution—while closing the loop between evaluation and customer impact and balancing quality, latency, safety, and cost. Candidates should have a track record shipping large-scale ML/AI systems with measurable customer and business impact, expertise with LLM-powered products and agentic systems, strong production engineering skills, and proven technical leadership and mentorship abilities.

Atlassian supports flexible work locations, allowing employees to work in an office, from home, or a combination of both. They hire in any country where they have a legal entity, and data is a major focus, with billions of events ingested monthly for analytics across many teams. Atlassian is seeking an Engineering Leader to join the Data Engineering team to build data products that power GTM (Marketing and Sales) strategy and key organizational decisions. The role involves leading a world-class data engineering practice, shaping technical strategy and data architecture, and developing data products for reporting, analytics, data science, machine learning, and AI workloads. As the data domain specialist, you 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, remote, or hybrid) and hires in any country with a legal entity, serving more than 300,000 customers worldwide, including NASA, IBM, Hubspot, Samsung, and Coca-Cola. Its mission is to unleash the potential of every team through software, deliver exceptional customer impact, and sustain revenue growth, guided by the value “play as a team” and a culture where employees work with Atlassian, not for it. The company is leading responsible AI integration into its cloud products, migrating customers to the cloud with cost transparency, faster collaborations, and improved business outcomes, under a strong, enterprise-focused sales strategy. The role targets high-value, strategically important accounts, requiring understanding of their long-term goals, developing customized growth strategies, and nurturing relationships with key decision-makers while collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deliver aligned solutions. Responsibilities include developing named Account or Territory plans, serving as main contact or escalation point, conducting market research, leading negotiations, providing forecasts, maintaining product knowledge, traveling as needed, and mentoring junior sales team members.

Atlassians can work anywhere—office, home, or hybrid—and the company hires in any country where it has a legal entity. Dev Infra builds the tools, platforms, and infrastructure that every engineer uses to ship, and the AI Foundations team focuses on making AI work well across the engineering lifecycle. The Senior Principal Engineer will set the technical vision for AI across the software development process, stay hands-on, prototype the hardest parts, and lead by doing. They will build foundational AI systems to measure effectiveness, supply the right context, and run AI reliably and affordably at scale, providing engineers with real signal rather than hype. They will partner with engineering and product teams to shape internal tools and customer capabilities, decide when to buy, build, or tailor solutions, and mentor senior engineers to raise the team’s ceiling.

Atlassian supports flexible work locations, allowing Atlassians to work in an office, from home, or a mix, and hires in any country where it has a legal entity. The Principal ML System Engineer role in the Rovo & AI Engineering org will contribute to Rovo Chat by bringing cutting-edge innovations and building agent harnesses that significantly improve quality, reliability, and latency. You will have opportunities to lead other engineers through projects from technical design to launch and collaborate with internal customers to set expectations and communicate results. Beyond these tasks, the role is pivotal in realizing AI's transformative potential across Atlassian's offerings. The Rovo & AI Engineering org aims to make Rovo the fastest, most trusted way for teams to find, understand, and act on knowledge, with the product surface growing 10x over the past year.