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Atlassian offers flexible work locations—office, home, or a mix—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 focused on helping customers perform risk assessments to trust Atlassian Cloud products and to earn and maintain customer trust at scale. As Senior Manager, you will lead an AMER-based team, collaborate with Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support, and drive improvements to trust and security practices, processes, and customer engagement, including acting as the primary contact for strategic & enterprise escalations and supporting executive briefings. You will contribute to strategic planning, shape an enterprise strategy aligned with Atlassian’s Trust objectives, drive tooling and process improvements, and support legal in negotiating security and compliance terms for customer agreements. Requirements include 10+ years in management roles across Security/Governance/Risk/Compliance, proven leadership and cross-functional influence, experience scaling trust programs, use of AI tools to improve efficiency, familiarity with AI security considerations, and knowledge of certifications such as FedRAMP, ISO 27001, PCI-DSS, plus experience with Regulatory Compliance, Global Privacy, and Large-scale Cloud solutions.

- Atlassians can work in-office, from home, or hybrid, and Atlassian hires in any country where it has a legal entity. - The Your Future Org intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to propel students toward a successful Atlassian career. - The internship is based in Seattle, WA or San Francisco, CA, and candidates must be willing to work there; it is not eligible for F1/J1 visas and does not provide work sponsorship. - The 12-week paid program runs May/June through August/September 2027, and interns will be integrated into a development team from day one, reporting to Senior Engineers and contributing code that impacts the products. - Engineering/R&D priorities focus on moving customers to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or in a hybrid arrangement. This flexibility gives Atlassians more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. There is a placeholder in the text for a job description: [[INSERT JOB DESCRIPTION HERE]]. The overall message emphasizes flexibility and broad global hiring capabilities.

Atlassians can choose to work in an office, from home, or in a hybrid arrangement. This flexibility allows employees to better support 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 that a job description will be inserted. Overall, the passage highlights flexible work locations and global hiring capabilities.

Atlassian offers flexible work locations—office, home, or a combination. This setup gives employees more control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder indicating where a job description will be inserted. Overall, the message emphasizes employee choice and global hiring capability.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The Search Platform team powers Rovo Search to enable secure, fast, globally scalable, and cost-efficient knowledge discovery across Atlassian data and third-party apps. 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, while collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, and capacity; establishing the architecture for online retrieval, index serving, query processing, and ML inference; turning IR and ML advances into production systems with rigorous evaluation and safe rollout practices; and advancing production inference through techniques like batching, quantization, distillation, compilation, and hardware-aware optimization. The role also involves leading cross-team initiatives, mentoring engineers, aligning technical and product leaders around the long-term direction, and elevating the team's maturity to accelerate innovation.

- Atlassian offers flexible work options—office, home, or a mix—so employees can better balance family and personal priorities. - The company hires people in any country where it has a legal entity. - Search Platform aims to power world-class, trusted cross-product knowledge search and discovery for people and agents across Atlassian’s surfaces, with agentic search pushing the boundaries of context search for AI. - In this role, you’ll lead the ML-based search architecture that governs quality, latency, cost, and reliability at scale and set the department’s technical direction, including ranking models, retrieval architectures, and inference pipelines. - Responsibilities also include driving measurable improvements through experimentation, pursuing ambitious moonshots, end-to-end model optimization, defining ML systems standards, mentoring senior engineers, and partnering with Search Quality, ML Platform, and product teams to align roadmaps and translate ambiguous problems into clear, measurable technical bets.

- Atlassians can choose where to work—office, home, or a hybrid—and Atlassian hires people in any country where it has a legal entity. - The Rovo Experiences & Growth organization builds customer-facing AI experiences across Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, delivering them on web, mobile, desktop, and browser extensions to help customers use Rovo daily. - The role leads technical strategy and architecture for these products, ensuring scalability, reliability, security, and cohesion, and drives the convergence of Search and Chat with shared patterns for information retrieval, context, multi-step interactions, and action. - It develops reusable experience foundations across Atlassian products and integrates with third-party tools, partners with product, design, data science, ML, and engineering to define a high-impact roadmap, and enables sustainable growth through rapid experimentation, contextual activation, personalization, measurement, and continuous improvement, while leading cross-organizational initiatives. - It raises the bar for quality, performance, trust, and operational excellence, standardizes AI development and deployment toward scalable, composable, repeatable approaches, and mentors senior engineers to promote technical excellence, inclusive collaboration, and continuous learning.

1) Atlassians can work anywhere—office, home, or a blend—and the company hires in any country with a legal entity, giving teams more control over family, personal goals, and priorities. 2) As the way people find and use knowledge at work changes, AI agents must understand user goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. 3) Atlassian is building an intelligence layer, the context-layer, to enable this across the enterprise and broader ecosystem, at the intersection of information retrieval, ML, LLMs, agentic systems, and large-scale distributed systems. 4) The team tackles problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure, and invites those excited about defining search in the agent era. 5) You’ll work on building systems that let AI agents discover information, reason over enterprise knowledge, and choose the right capabilities, across areas like Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all at enterprise scale with concerns about permissions, freshness, latency, trust, data heterogeneity, and multi-tenancy.

Atlassian is seeking a Senior Machine Learning Engineer to join the Search & Intelligence organization to build the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company. Atlassians can choose where they work—office, remote, or a hybrid—and the company can hire people in any country where it has a legal entity. In this role, you will lead the development and productionization of advanced machine learning systems that improve how people discover, understand, and act on knowledge across Atlassian, working across the full ML lifecycle from problem definition and data exploration to model development, experimentation, deployment, and ongoing optimization. You will partner 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 and implementing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, designing robust architectures for quality, latency, scale, privacy, and cost, and conducting rigorous experiments and evaluations, while communicating findings to technical and non-technical audiences and fostering a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for Atlassian’s AI products. The company offers flexible work options and hires in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with an emphasis on making evaluation a first-class part of AI development. Responsibilities include designing evaluation-driven development processes, building evaluation datasets and benchmarks, conducting offline and online evaluations, human assessments, model-based evaluations, error analysis, and mentoring other engineers while collaborating with product managers, software engineers, data scientists, research scientists, and platform teams. The work requires designing scalable architectures that meet quality, reliability, latency, privacy, and cost requirements, applying modern techniques in information retrieval, ranking, embeddings, NLP, deep learning, and large language models, and communicating technical decisions and results clearly to both technical and non-technical audiences while contributing to ML and engineering best practices.

1. Atlassian offers flexible work options, allowing employees to work in-office, from home, or a hybrid, to balance responsibilities and family. 2. Atlassian is hiring a Machine Learning Engineer for the Growth organization to build intelligent, personalized experiences that help customers discover value and progress through the lifecycle. 3. The role involves designing, building, and operating ML systems, developing models and decisioning services for personalized recommendations, activation and engagement journeys, cross-product expansion, and sales experiences, and transitioning from fragmented heuristics to a unified orchestration system based on context, conversion probability, and lifetime value. 4. Requirements include a bachelor’s or master’s in CS or equivalent, 5+ years in ML, proficiency in Python (and Java/TypeScript), SQL, Spark, and cloud environments (AWS, Databricks), and strong ability to communicate ML concepts and collaborate across teams; familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference is a plus. 5. Bonus experience includes working in consumer SaaS or enterprise B2B, applying ML to growth and personalization, and understanding engagement, activation, conversion, expansion, and retention metrics to balance short-term and long-term outcomes.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for its Growth organization, which builds intelligent, personalized experiences to guide customers from awareness to expansion and retention. The role will turn behavioral and product signals into scalable ML systems that power the growth funnel, enabling more relevant customer and sales experiences across surfaces like navigation, screen-space flags, and the app-switcher. You will join a cross-functional Growth team spanning product, engineering, data science, analytics, and product operations to develop ML capabilities, data foundations, features, models, evaluation frameworks, and decisioning systems for cross-product recommendations and personalized journeys. Responsibilities include designing, building, and operating ML systems for personalized recommendations and activation journeys, defining strategy for ML capabilities, and partnering with product, analytics, marketing, and sales to run experiments and production capabilities while monitoring attribution, latency, quality, and fairness. Requirements include 5+ years in ML, a CS-related degree, strong Python (plus Java/Typescript), SQL, Spark, cloud experience, experience scaling ML in business applications, ability to communicate ML concepts, and familiarity with contextual bandits, uplift modeling, recommender systems, and causal inference; bonus if you have SaaS/B2B or growth-focused experience.

Atlassian lets employees decide where they work—office, home, or a mix. This choice gives them greater control over work-life balance, family, and personal goals. Atlassian can hire people in any country where it has a legal entity. [[INSERT JOB DESCRIPTION HERE]] is a placeholder indicating where a specific job description will be inserted. Overall, the text emphasizes flexible work arrangements and a global hiring scope.

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

Atlassians can choose where they work—office, home, or a mix. This flexibility 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, it emphasizes flexible work arrangements and global hiring options at Atlassian.

Atlassian supports flexible work locations and global hiring, giving employees control over work-life priorities and enabling hiring in any country with a legal entity. Their Trusted Data Platform (TDP) provides secure, scalable data storage, with TDP SQL offering a managed relational database platform for internal use. They are seeking a Senior Engineering Manager to lead the TDP SQL engineering team, responsible for people, strategy, execution, and operational outcomes, and to partner with senior engineers and various product, infrastructure, and security teams. The role involves defining the TDP SQL strategy and roadmap, surfacing risks early, increasing platform adoption, and ensuring designs meet scalability, security, data residency, and multi-cloud requirements. Cross-functional leadership also includes managing cost posture, capacity, investments, and ownership of infrastructure efficiency and unit economics while balancing delivery with platform simplification.

- Atlassians can choose where they work, whether 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 policy emphasizes employee autonomy and work-life balance. - The text ends with the token "NTD," which may be a note or placeholder.

At Atlassian, employees can choose where they work (office, home, or hybrid) and the company hires globally where it has a legal entity, to support personal goals and family needs. Atlassian aims to be a 100-year company with empowered engineering teams, equipped to do their best work, while focusing on AI and customers' cloud transitions and delivering value through Jira, Confluence, Trello, and Bitbucket. The roles target individuals who want to shape the future, tackle large, complex problems, provide technical leadership, and establish architectural standards across new projects. The position also involves driving company-wide initiatives, sharing engineering best practices, mentoring future technical leaders, and elevating the technical bar across the organization. Candidates should have 10+ years of full-stack experience with languages like Java, Scala, Node, JavaScript, or React, strong systems engineering skills at scale (testing, reliability, security, observability), excellent communication, and a focus on customer impact in technical decisions, including familiarity with A/B testing.

At Atlassian, employees can work in an office, from home, or a mix of both, and the company hires in any country where it has a legal entity, aiming to support personal goals and build a 100-year engineering organization with empowered teams and the right tools. The engineering focus emphasizes advancing AI, helping customers migrate to the cloud, and delivering maximum value through Jira, Confluence, Trello, and Bitbucket. The role involves tackling the largest and most complex problems, providing technical leadership, addressing architecture challenges, and championing high technical standards across the organization. It also requires partnering across engineering teams on company-wide initiatives, sharing best practices, and mentoring the next generation of technical leaders. Candidates should have 10+ years in full-stack development with languages such as Java, Scala, Node/JavaScript/React, a computer science degree or equivalent, deep experience in systems engineering at scale (testing, reliability, security, observability), strong communication skills, mentoring experience, customer-focused decision-making, and familiarity with A/B testing.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where it has a legal entity. They’re seeking a Lead Product Designer to join the Rovo & AI team, responsible for Rovo and AI experiences and working across Atlassian apps’ AI features with teams across Atlassian; the team is primarily based in Australia and the West Coast of North America. Responsibilities include leading strategic vision and design outcomes for the AI landscape, applying systems thinking, strong visual/interaction design, driving design reviews, and coaching other designers to ensure cohesive AI experiences, and partnering with leadership to unify AI capabilities. You will lead design projects end-to-end, tie design work to customer value delivery and outcomes, identify success metrics, and collaborate with engineers, product managers, content designers, researchers, marketing, and analysts to ship high-quality work. Qualifications require 10+ years of product design experience, enterprise software design, end-to-end UX, experience with org-wide design programs, storytelling, balancing customer needs with business and technical feasibility, facilitation and cross-functional collaboration, design systems, measuring success, and improving processes and adoption of new capabilities.

Atlassian is a global leader in team collaboration and productivity software, with products like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide. They are seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, working on flagship AI products including agentic search and chat, long-horizon agents, and capabilities that enrich the Teamwork Graph, as well as frameworks, models, and infrastructure that accelerate AI feature development. Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity. In this role, you will lead the development and implementation of cutting-edge ML algorithms and sophisticated models powering AI capabilities across Atlassian’s products and services. You will collaborate with product, engineering, and analytics teams to translate business and customer needs into impactful solutions, design system and model architectures, lead rigorous experimentation and evaluation, provide technical mentorship to ML engineers, and help shape Atlassian's AI strategy.

Atlassian allows employees to choose where they work—office, home, or a combination. This flexibility gives Atlassians 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 policy underscores a commitment to autonomy and flexible work arrangements. Overall, it highlights the company's global reach and focus on work-life balance.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The role centers on executive support, including complex cross-time-zone calendar management, meeting prep with agendas and briefing materials, and capturing notes and action items for follow-up. It also involves leading virtual and in-person events—from planning and logistics to vendor/venue management and contract negotiations—serving as the main point of contact for event communications. Additional duties cover cross-functional collaboration, driving the rhythm of business with leadership meetings and planning sessions, and handling budgeting, purchase orders, expenses, and travel for the leader. Candidates should have 7+ years of executive assistant experience in high-growth tech, be team-oriented, data-driven, adept at navigating change, and proficient with tools including the Atlassian suite, Google Workspace, Slack, Zoom, and Workday, along with opportunities for internal mobility and growth at Atlassian.

- Atlassian offers flexible work options, allowing you to work from home or any global office, and it hires in any country where it has a legal entity. - The Grad++ program blends hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to help students launch successful careers at Atlassian. - This role is located in Seattle, WA, and is not eligible for F1/J1 visas or any work sponsorship. - You will build production-ready features by developing scalable code for Jira, Confluence, and Trello used by millions, contributing to reliable systems powering global collaboration. - You’ll own end-to-end projects from design through deployment, collaborate in Agile teams, and innovate with AI/ML technologies to solve complex distributed systems and data processing problems using data-driven insights.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. In this role you will be an expert product seller in ITSM/ESM, acting as a knowledge leader to inform sales strategies and Jira Service Management’s positioning within the Atlassian platform. You will own end-to-end JSM sales motions, leading the full sales cycle from prospecting through discovery, solution design, business case, negotiations, and close, while collaborating with AEs, AMs, and SDRs to drive net new revenue and expansion in Enterprise accounts. You will engage with customers to understand business drivers and transformation priorities, build value hypotheses and ROI cases tied to JSM outcomes, run competitive campaigns against incumbents, and lead cloud migrations, partnering with SEs, CS, Marketing, and Partners to ensure adoption and co-selling. You will forecast and manage pipelines using MEDDPICC (or similar value-based methodology) and serve as the voice of the customer to inform product gaps, competitive dynamics, and market trends for Atlassian’s JSM roadmap and GTM strategy.

Atlassian offers flexibility in where you work—office, home, or a mix—and supports family, personal goals, and other priorities, with global hiring in any country where we have a legal entity and virtual interviews and onboarding as part of our distributed-first approach. As a Senior Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and help shape the future of AI-powered teamwork. This is a high-visibility, high-impact role in fast-moving, ambiguous environments, collaborating with product, engineering, and design to grow technical and domain expertise and drive tangible business outcomes for top organizations. You will code across the Atlassian product suite, lead the design, development, and deployment of AI/ML solutions using Rovo tailored to customer needs, architect and implement robust integrations in Python or JavaScript, and influence product direction by solving customers' last-mile papercuts while promoting AI-augmented workflow automation. You’ll oversee end-to-end deployment, manage AI risk assessment and data privacy/regulatory compliance, mentor senior engineers, and communicate complex technical concepts clearly to stakeholders, ensuring alignment of technical solutions with business objectives and measurable progress.

Atlassian enables Atlassians to work anywhere with a distributed-first approach, globally hiring and conducting virtual interviews and onboarding. The Agentic AI Integrations team is responsible for the Rovo MCP Server, agent-to-agent integrations, and leveraging AI capabilities like Claude Skills and ChatGPT/Claude Apps to advance AI integrations across the Atlassian ecosystem. The role focuses on bleeding-edge AI technology, moving from prototypes to scalable enterprise AI products used by thousands of developers and enterprise users. Responsibilities include ML performance and systems engineering—tuning latency and reliability, dynamic tool discovery, observability, automated evaluations, semantic retrieval, and building MCP servers, tools, and agent-facing APIs, plus frontend experiences in React/TypeScript and reusable design-system components with robust API integrations (GraphQL/REST, streaming, real-time data). It also encompasses defining AI/ML quality programs, CI/CD-driven evaluations, and implementing enterprise security measures such as OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and confirmation flows for high-impact actions.

Atlassian supports flexible working—office, remote, or hybrid—with virtual interviews and onboarding, and hires in any country where they have a legal entity. As a Senior Application Engineering Manager on the Corporate Engineering - Finance Technology team, you'll work on Oracle Fusion Cloud and other Finance SaaS apps to modernize Finance Operations through transformations, automations, AI/ML, and other priorities. You will lead a cross-level team of application development engineers and software engineers, drive run-the-business operations and projects from technical design to launch, and collaborate with internal customers to set expectations and communicate results. Key responsibilities include maximizing Fusion Cloud features across Core Financial modules (OM, AR, AP, FA, GL), embracing an automation mindset with RPA and low-code/no-code tools, integrating Fusion Cloud with a best-of-breed SaaS footprint (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), ensuring projects meet OKRs, and working with Internal Audit for SOX compliance; it’s a high-visibility role involving architectural challenges and leading code reviews and complex bug fixes. Qualifications include 9+ years as a hands-on senior engineering manager in Core Finance with Oracle Fusion Cloud and other SaaS systems, experience leading transformations, automation tools (RPA, Workato, Camunda), exposure to Salesforce and Databricks, familiarity with AI/ML, and strong communication with a passion to make an impact.

Atlassian offers flexible work arrangements—office, home, or a hybrid—and hires globally in any country where the company has a legal entity. As a Principal Forward Deployed Engineer (FDE), you’ll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver AI-powered solutions. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities to solve complex, real-world problems and achieve tangible business outcomes. You’ll lead the design, development, and deployment of AI/ML solutions, architect and implement integrations with Python/JavaScript for APIs and microservices, drive data-driven insight generation, promote AI-augmented workflow automation, oversee production deployment with monitoring, and navigate risk, privacy, and regulatory requirements. You’ll also mentor junior engineers, communicate complex technical concepts to diverse stakeholders, and align technical solutions with business objectives to set a clear vision and measurable results.

Atlassian supports flexible work setups (office, home, or hybrid) and hires in any country where there is a legal entity. As a Principal Engineer with the Deep Engineer archetype in Kubernetes Platform, you’ll own technically complex, high-impact outcomes from problem definition through production, applying expertise in agent infrastructure and distributed systems to shape 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 influencing teams across geographies through coaching and design leadership. Success is measured by sustained outcomes—safer workloads, faster iteration, reliable services, and broader Atlassian leverage—rather than activity. Responsibilities include defining the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads; leading architecture and implementation of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities; owning end-to-end outcomes for cross-team initiatives; advancing portable cloud-native execution across GCP and AWS; championing operational excellence for a tier-0 platform; improving developer experience; and mentoring engineers to grow an inclusive, high-performing team.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. The Senior Machine Learning Systems Engineer on the Search Platform team will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. Responsibilities include designing scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and delivering ML components end-to-end across multiple regions and tenants with strict SLOs for availability, latency, and relevance. The role also covers ML model development and serving (neural rankers, embeddings, reranking), integration with serving infrastructure (Triton, PyTorch), collaboration with researchers to productionize models, and building agentic/RAG-focused retrieval systems in partnership with Rovo and AI platform teams. Additional emphasis is on operational excellence and cost discipline (observability, FinOps, on-call readiness, capacity planning) and cross-functional collaboration, mentoring junior engineers, and contributing to roadmaps and team OKRs.

- Atlassian supports flexible work options (office, home, or hybrid) and hires globally wherever there is a legal entity. - In this role, you’ll lead high‑impact incident response in a complex cloud environment, coordinating across Detection, Security Engineering, Product Security, Legal, Crisis Communications, Support, and leadership, while directly managing a 5–8 person team in the US region. - You’ll coach incident responders, raise the quality of investigations and decisions, and improve the incident response system with playbooks, metrics, exercises, post‑incident reviews, and better tooling, including driving the adoption of investigative AI tools and automation to reduce toil and accelerate triage. - You’ll also support regulated environments with formal incident handling, reporting expectations, and documented operating procedures, bringing day‑one experience leading multi‑stakeholder incidents, executive communication, and building scalable incident response programs. - The team values calm execution and blameless learning, and the role offers a rare opportunity to shape Atlassian’s major incident response, mature security operations, and responsibly integrate investigative AI at scale while partnering with senior leaders to improve customer outcomes.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. The Principal Enterprise Security Engineer is the senior technical authority for corporate architecture, SaaS platforms, and workforce technologies, driving the long-term vision to safeguard assets while enabling scalable innovation. Key responsibilities include strategic leadership: defining the end-to-end enterprise security architecture across endpoints, identity, network, and data; leading architectural reviews of major initiatives such as AI adoption, zero-trust modernization, and vendor onboarding; and establishing architectural controls and maturity assessments. As a technical SME, they provide security best-practices guidance, influence design to embed security from the outset, and improve productivity by automating control deployment and drift detection (IaC/PaC) and enabling rapid changes via CI/CD. They collaborate with security, engineering, product teams, and other architects, serve as the liaison between Corporate Security and Product Security, and mentor security practitioners across multiple seniority levels.

At Atlassian, employees can work from office, home, or a mix, and the company hires in any country where it has a legal entity. The role is Senior Principal Technical Program Manager, a senior individual-contributor position with portfolio scope, reporting to the Head of Program Management for Enterprise and Emerging and part of the Program Management Technical craft. You will shape and deliver top-priority, ambiguous programs across multiple teams—Product, Engineering, Design, GTM, Finance, Legal, Security, IT, and Transformation—to achieve measurable customer and business outcomes. Your responsibilities include setting portfolio direction, leading end-to-end cross-functional delivery, turning ambiguity into clarity, driving launches and transformations, influencing senior leaders, establishing scalable governance and readiness mechanisms, and mentoring program managers. In the first 12 months, success means delivering high-impact programs with clear customer/revenue impact, improving executive visibility and decision speed, introducing a reusable program-management mechanism, and building durable partnerships with senior leaders.

Atlassian's DevAI initiative aims to revitalize its product lineup to transform developers' productivity with an AI-native SDLC, embedding AI across tools like code review, code generation, agentic engineering, and spec-driven development. The ecosystem is designed to enhance every step of the developers’ productivity cycle and redefine developer experiences through deeper AI integration. The role centers on innovating core intelligence solutions within DevAI, including LLM integration, prompt engineering, and end-to-end AI features, in collaboration with a diverse team of scientists, engineers, and partner groups. General responsibilities cover strategic leadership to align AI/ML strategy with goals, team building and talent development, stakeholder management, performance management, and technical mentoring. Daily duties involve overseeing AI/ML project lifecycles, balancing resources, refining engineering processes, and proactively mitigating risks to maintain momentum.

- Atlassian offers flexible work options—office, remote, or a mix—and hires globally wherever there is a legal entity. - The Forward Deployed Architect is a trusted transformation architect who combines enterprise-grade technical design with consulting-grade business acumen to turn a CIO’s modernization goals into a credible, phased, AI-native architecture and transformation plan, embedded with 1–3 strategic accounts for 3–9 months each and up to 50% travel. - They design the customer’s System of Work across functions using Jira, Confluence, Rovo, and the broader Atlassian platform, lead cross-functional workflow transformation, operating-model design, governance, and RACI, and drive AI adoption with change management and success metrics. - In Architecture & Technical Design, they own the target-state architecture across Plans, Goals, Work, Knowledge, Code, and AI, covering multi-tenant SaaS, identity and SSO, data residency, integrations, Forge & Connect strategy, migration paths, and AI-native workflows, delivering durable artifacts. - They orchestrate executive discovery, coordinate across teams, translate business outcomes into capability roadmaps, mentor other architects, represent Atlassian externally, and feed field patterns back into product development.

Atlassian offers flexible work options—office, home, or a hybrid arrangement—and hires in any country where they have a legal entity. The Revenue Operations team partners with customer-facing organizations to turn business priorities into clear operating plans, scalable processes, and reliable insights, working across strategy, operations, systems, and analytics to improve post-sales planning, execution, and measurement at scale. The role provides operational support across Partner & Alliances, Customer Success, and cross-functional Strategy & Analytics, helping leaders coordinate priorities, define reporting needs, and run effective business rhythms. It includes translating business questions into analytics requirements, architecting data needs, establishing scalable reporting and source-of-truth across post-sales workflows, and collaborating to improve data quality and usability across Salesforce, Gainsight, and Tableau, while driving stakeholder alignment and producing leadership-ready materials that summarize progress, risks, and recommendations. The position also seeks opportunities to simplify work through automation and AI-enabled workflows that improve speed, consistency, and scale.

- Atlassian offers flexible work options (office, remote, or hybrid) with a preference for the San Francisco Bay Area or US West Coast, but hires in any country where it has a legal entity. - As a Lead Design Technologist, you lead cross-functional projects that affect multiple departments and deliver scalable design-technology solutions that empower product builders across Atlassian, while advancing prototyping, motion, and AI-led design workflows. - You’ll join the Design Technology team within Core Design, reporting to the Senior Manager, building foundational tools, components, and AI-native workflows that power user experiences across all Atlassian apps, with a diverse team collaborating with product, engineering, and accessibility experts for scalable, inclusive solutions. - You’ll shape Atlassian’s product-building culture, champion best practices, accelerate innovation through AI tooling and AI-toolchain workflow improvements, deliver across multiple workstreams, mentor others, identify opportunities to enhance workflows via custom tooling and automation, and solve complex design-technology issues leveraging AI/LLMs. - The role requires advanced skills in JS frameworks, prototyping, and motion design, and involves leading the co-creation of sense-making artifacts (blueprints, models) to communicate design concepts and drive adoption of best practices for continuous improvement.

Atlassian offers flexible work arrangements and hires globally, with a mission to unleash team potential through products like Jira Software, Confluence, and Jira Service Management that help Fortune 500 and many companies work better together. The Mid-Market sales team focuses on mid-sized customers, identifying cloud-first opportunities, cross-selling and user expansion, nurturing relationships and achieving revenue targets, while advocating for customers to product/engineering and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. The role aligns with Atlassian values and a team-based approach to guiding deployments and scale across customers within an innovative sales model. Responsibilities include owning a book of ~40 accounts in the Mid Market segment (200-10,000 seats), maintaining a $2-4M annual quota, and leading a cross-functional deal team as quarterback while building executive-level relationships across IT, business, sales, and marketing. You will use MEDDPICC to qualify and close complex, multithreaded opportunities, collaborate with internal teams, negotiate and price contracts, source and qualify leads, forecast accurately, stay updated on industry trends, and travel occasionally for meetings and events.

Atlassian lets employees work from the office, home, or a mix, and hires people in any country where it has a legal entity. As a Principal ML Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat by delivering cutting-edge innovations, leading other engineers from technical design to launch, and collaborating with other teams and internal customers. You’ll tackle open-ended problems, set the technical vision for measuring and improving Rovo Chat, and build production ML and evaluation systems at scale (datasets, simulations, automated judges, regression suites, experimentation platforms, and quality signals). You’ll advance agentic capabilities, close the loop between evaluation and product impact, and make high-leverage decisions across model choice, prompting, data strategy, system architecture, inference, latency, safety, and cost while leading cross-organizational initiatives and establishing reusable methods and standards. The ideal candidate has a proven track record shipping large-scale ML/AI systems with measurable impact, deep experience with LLM-powered and agentic products, strong production engineering skills, and principal-level leadership, communication, and mentorship abilities.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees control over their personal goals and priorities. The role sits in the Agentic AI Integrations team, focusing on the Rovo MCP Server and Agent-to-Agent integrations while leveraging AI capabilities like Claude Skills and ChatGPT/Claude Apps to advance Atlassian’s AI ecosystem. The position favors those excited about bleeding-edge AI tech, who can move from prototyping to scalable enterprise-grade products used by thousands of developers and enterprises, with a systems-thinking mindset emphasizing security, scalability, reliability, and maintainability. Key responsibilities include building and mentoring a software engineering team, delivering foundational components for multi-agent systems, adopting protocols like MCP and A2A, collaborating cross-functionally, ensuring high-reliability (4 9s SLA) and cost/latency optimization, and representing Atlassian in AI interoperability groups. Requirements include 8-10+ years in software development with at least 4+ years of people management, hands-on AI/ML platform engineering or agent frameworks experience, proficiency in Python, TypeScript, or Go, and experience with high-scale distributed systems, vector databases, and observability pipelines.

Atlassian offers flexible work locations (office, home, or a blend) and hires globally where it has a legal entity. They’re seeking a Product Manager for AI-powered conversational experiences to lead Rovo Chat. The role is part of the Central AI team and is responsible for the vision, strategy, and execution to drive adoption and impact across Atlassian’s product suite. Responsibilities include building intelligent chat experiences that access knowledge from Jira, Confluence, Bitbucket and third-party sources, as well as cross-functional delivery and program-level execution. The role also emphasizes defining metrics for chat quality and adoption and championing safe, transparent, and inclusive AI practices.

Atlassian supports flexible work locations—office, remote, or hybrid—so employees can balance family, personal goals, and other priorities. They hire in any country where they have a legal entity. Data is central: billions of events are ingested monthly into analytics platforms, with many teams relying on data platforms to drive decisions. Atlassian is seeking an Engineering Leader to join Data Engineering to build data products that power GTM (Marketing and Sales) strategy and key organizational decisions, and to lead a world-class data engineering practice. The role involves shaping technical strategy and data architecture, developing data products for reporting, analytics, data science, machine learning, and AI workloads, and partnering with IT, data platforms, product engineering, GTM stakeholders, analytics teams, and data scientists to support multiple programs.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever it has a legal entity, serving over 300,000 customers like NASA, IBM, HubSpot, Samsung, and Coca-Cola, with a goal to unleash every team’s potential through software, deliver exceptional customer impact, and drive ongoing revenue growth. Our unique value is “play as a team,” supporting each other, celebrating wins, and sharing knowledge, with employees working with Atlassian—not for Atlassian—and strong earning potential for sales amid a vast enterprise market and steady customer preference for our products. We are leading the responsible integration of artificial intelligence into our cloud products, migrating customers to the cloud, building trust through cost transparency, moving faster through collaboration, and accelerating customers’ business outcomes with a strong sales strategy. The role focuses on steering a portfolio of high-value, strategic accounts, understanding their long-term goals, and developing customized growth strategies while nurturing relationships with key decision-makers and collaborating with internal teams and partners to deliver aligned solutions. Responsibilities include developing and implementing named account or territory plans, serving as the main contact or escalation point for designated accounts, leading complex negotiations, conducting market research and forecasting, maintaining deep product knowledge, traveling as needed, and mentoring junior sales teammates.

- Atlassian lets employees work from office, home, or a hybrid arrangement, giving them more control over family and personal priorities, and the company hires in any country where it has a legal entity. - Dev Infra builds the tools, platforms, and infrastructure that every Atlassian engineer uses to ship software and also stress-tests the same class of developer tools Atlassian sells. - They are hiring a Senior Principal Engineer for the AI Foundations team, the group responsible for making AI work well across the engineering lifecycle—how it’s measured, the context it’s given, and the compute it runs on. - The role involves setting the technical vision for AI across the lifecycle, staying hands-on, prototyping the hardest parts, leading by doing, building foundational AI systems, and delivering real signal to engineers and leaders while partnering with engineering and product teams to shape internal tools and customer-facing AI capabilities, including decisions to buy, build, or build something purpose-built. - It also includes mentoring senior engineers, aligning principals across the organization, and raising the ceiling for what the team believes is possible.

- Atlassian supports flexible work options (office, home, or hybrid) and hires people in any country where the company has a legal entity. - The role is Principal ML System Engineer in the Rovo & AI Engineering org, focusing on Rovo Chat and delivering bleeding-edge innovations and agent harnesses to significantly improve quality, reliability, and latency. - You will lead other engineers through technical design to launch and collaborate with other teams and internal customers to set expectations, gather input, and communicate results. - 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 10x growth in the product surface over the past year.