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Atlassian offers flexible work options, allowing employees to work in an office, from home, or a mix, and hires people in any country where it has a legal entity. The role is Senior Manager, Trust Engagement, leading a globally distributed team of security and compliance professionals focused on helping customers perform risk assessments to trust Atlassian Cloud products, with collaboration across Trust & Security, Go-To-Market/Sales, Compliance, Privacy, Legal, and Customer Support. You will provide leadership to a high-performing AMER-based team, shape strategic planning for the Trust Engagement function, drive process, tooling, and reporting improvements, and act as the primary contact for Strategic & Enterprise customer escalations. You will support Atlassian Executive Briefings, assist in negotiating security and compliance terms for Customer Agreements, and require 10+ years in security/governance/risk/compliance with cross-functional influence and a track record of scalable programs, plus experience using AI tools to improve efficiency and familiarity with AI security/compliance considerations and relevant certifications. The role aims to enhance customer trust at scale by improving internal processes and product features to meet current and future customer expectations.

Atlassian offers flexible work options (office, remote, hybrid) and hires globally where they have a legal entity. The Intern program provides hands-on technical training, mentorship, professional growth, and social connections to set up for a successful career. The internship role is located in Seattle, WA or San Francisco, CA, and not eligible for F1/J1 visas or sponsorship. The 12-week paid internship runs May/June through August/September 2027; interns will work on real code in a development team and learn full lifecycle product development. Interns will report to Senior Engineers and contribute features to products like Jira, Confluence, Trello, and Bitbucket as part of a unified R&D effort focused on cloud migration and value delivery.

Atlassian is hiring a Senior Product Marketing Manager to own the developer platform go-to-market, focusing on Forge and the broader developer GTM, in a hybrid Product Marketing and GTM role that translates technical capabilities into developer value and builds the motions for awareness, activation, and adoption, with TEAM for Builders as the immediate priority. You’ll own developer platform positioning for Forge, partner with Product and Engineering to turn APIs, AI workflows, and extensibility into a compelling story, and develop POVs on AI-enabled development, MCP, agents, and evolving developer workflows. You’ll own TEAM for Builders’ developer marketing strategy, audience, narrative, launch integration, programming, acquisition, and post-event activation, and partner across Product, Developer Advocacy, Events, Brand, Community, and Ecosystem to make the event a year-round driver of engagement, not just a one-off. You’ll lead the overall Developer GTM, connecting launches, events, advocacy, community, content, and growth programs into a cohesive developer journey, and own Launch & Adoption for major launches plus growth programs like Atlas Camp, Codegeist, developer meetups, and Dev Champions. Requirements include 7+ years in product/developer marketing, technical fluency to work with Product and Engineering, strong storytelling, experience with complex launches and integrated GTM motions, strategic and hands-on execution, cross-functional collaboration, and a bias toward developer and business outcomes; in year one you’ll make TEAM for Builders a defining developer moment and a trusted partner to Product/Engineering, while Atlassian offers flexible work locations and global hiring.

Atlassian offers flexible work options and hires in any country with a legal entity for this role, within the Search Platform team. The team powers Rovo Search and enterprise data search, aiming to make knowledge across Atlassian and external apps securely, quickly, and at scale through an enterprise-grade infrastructure. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply new ML capabilities. Responsibilities include designing high-quality agentic search systems, setting the architecture for online retrieval, index serving, and ML inference, and turning IR and ML advances into production via rigorous evaluation, experimentation, and controlled rollout. The role also demands establishing ML production practices, advancing production inference with techniques like batching and quantization, leading cross-team initiatives, mentoring engineers, and elevating the team's maturity to accelerate innovation.

At Atlassian, we offer flexible work options—office, remote, or hybrid—and hire people in any country where we have a legal entity. The Search Platform mission is to power trusted cross‑product knowledge search and discovery for people and agents across Atlassian’s surfaces, pushing agentic search and redefining AI‑driven context search. The role will lead the search and ML architecture that powers search quality, latency, cost, and reliability at scale, and set the department’s technical direction. Responsibilities include setting the ML-based search strategy (ranking models, retrieval architectures, inference pipelines, serving infrastructure), driving improvements through rigorous experimentation, pursuing ambitious moonshots, and leading end-to-end model optimization with standards for evaluation, testing, rollout safety, and observability. It also involves mentoring senior engineers, collaborating with Search Quality, ML Platform, and product teams, and translating ambiguous problems into clear, measurable technical bets.

Atlassian is hiring a Senior Machine Learning Engineer in the Search & Intelligence group to build intelligent experiences, models, and data pipelines that power AI products and accelerate innovation. You can work anywhere—office, home, or a mix—and Atlassian hires in any country where it has a legal entity. The role involves leading end-to-end ML projects from problem definition and data exploration through development, deployment, and ongoing optimization, in collaboration with product managers, engineers, and data scientists. Responsibilities include designing production-ready ML algorithms and architectures for information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experimentation and evaluation to translate research into reliable systems. You will mentor engineers, shape technical strategy, promote experimentation and inclusive collaboration, and communicate decisions and results clearly to both 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, models, evaluation frameworks, and data platforms for AI products. Employees can work in-office, from home, or a hybrid, and Atlassian can hire 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 a emphasis on evaluation as a first-class part of AI development. You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, independently solve complex problems, contribute to technical direction, and mentor other engineers. Responsibilities include building AI systems, designing evaluation-driven processes, creating evaluation datasets and benchmarks, conducting offline and online evaluations, building scalable architectures, applying techniques from information retrieval, NLP, deep learning, and LLMs, and communicating decisions while mentoring on best practices.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for the Growth organization to help create personalized experiences that guide customers through the lifecycle. The Growth team spans product, engineering, data science, analytics, and operations and focuses on experimentation, personalization, and intelligent orchestration to improve discovery and adoption across the funnel. The ML Engineer will design, build, and operate systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including data foundations, features, models, evaluation frameworks, and decisioning, moving cross-flow ranking toward a unified, value-aware orchestration system. Requirements include a degree plus 5+ years in ML, strong Python and knowledge of Java/Typescript, SQL, Spark, cloud data environments, experience deploying large-scale models, building datasets and evals, and the ability to communicate ML concepts to diverse audiences while emphasizing practicality and iterative improvement. Nice-to-haves include experience in consumer/B2B SaaS, growth-focused ML applications, and familiarity with contextual bandits, uplift modeling, recommender systems, causal inference, as well as collaboration with product, analytics, marketing, and sales teams.

Atlassian offers flexible work locations (office, home, or hybrid) to balance business responsibilities with family needs. They’re hiring a Machine Learning Engineer for Growth, a unit that builds intelligent, personalized experiences to guide customers through the lifecycle from awareness to retention. The role involves designing, building, and operating ML systems for personalized recommendations, activation journeys, cross-product expansion, and sales experiences, plus developing data foundations, features, evaluation frameworks, and decisioning toward a unified, value-aware orchestration system. You’ll partner with product, engineering, data science, analytics, marketing, and sales to translate opportunities into measurable experiments and production capabilities, including offline/online evaluation, monitoring, and ensuring durable customer and portfolio value. Requirements include 5+ years of ML experience, a CS degree preferred, proficiency in Python (plus Java/Typescript), SQL, Spark, and cloud environments (AWS/Databricks), experience scaling models, building datasets/evals, strong communication, agile mindset, ability to solve ambiguities, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; optional experience in SaaS/B2B contexts and understanding engagement/activation/conversion/expansion/retention metrics.

Atlassian supports flexible work arrangements and global hiring, and its Trusted Data Platform (TDP) provides secure, reliable, and scalable data storage with data residency, encryption, regulatory compliance, backup/recovery, and multi-cloud operation; TDP SQL is Atlassian’s managed relational database platform built on TDP. The company is seeking a Senior Engineering Manager to lead the TDP SQL engineering team, accountable for the team’s people, strategy, execution, and operational outcomes, partnering with senior engineers, product and program leaders, infrastructure teams, security specialists, and Atlassian product organizations to evolve TDP SQL as a dependable, easy-to-adopt internal platform. Responsibilities include leading and developing managers and engineers, building an inclusive, high-performing team through hiring, onboarding, talent development, and succession planning, delegating meaningful ownership, establishing operating practices, and managing capacity across strategic investments, customer commitments, operational work, and technical debt. The role requires defining and executing the TDP SQL strategy and roadmap in alignment with Atlassian’s data-platform goals, surfacing delivery risks and dependencies early, increasing platform adoption, and owning the platform’s reliability, security, compliance, and recoverability with service-level objectives and incident response. It also entails cross-functional leadership to establish architectural direction across multi-cloud environments, manage technical and operational contracts with dependent teams, represent TDP SQL in reviews and portfolio planning, and own cost posture and investment decisions that balance customer trust with sustainable cost efficiency.

Atlassian supports flexible work locations, allows interviews and onboarding to be conducted virtually, and hires globally to accommodate employees’ family and personal goals. The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies driven by data-driven insights to boost profitability, market share, and customer delight, while continuously optimizing the sales process. Atlassian is seeking a Principal Strategist for Public Sector GTM who will use qualitative and quantitative methods to evaluate opportunities and design initiatives that drive P&L growth for Public Sector customers. The role is a highly capable individual contributor who will partner with Public Sector sales and product executives, along with stakeholders across the organization, to define the long-term direction and leverage SaaS principles to design scalable options that meet fiscal year goals and longer-term targets. Responsibilities include analyzing complex information, identifying opportunities, testing new ideas, transitioning from high-level strategy to detailed analyses, and leading cross-functional stakeholder management to secure resources and influence executives.

Atlassian is building the future of work with a focus on how people, teams, and AI can work better together, and Strategy Collection aims to connect strategy to execution at enterprise scale. The company is hiring a Principal Product Manager to lead core jobs to be done in the Focus app within Strategy Collection, shaping how leaders define priorities, connect work to outcomes, and make high-quality decisions. Responsibilities include defining the Focus product vision and roadmap, leading AI-native product development across discovery to launch, prioritizing AI opportunities, and driving cross-functional initiatives to align strategy, goals, and execution. The role requires applying AI fluency to establish quality bars, governance, transparency and control, leveraging data and feedback to size opportunities and communicate investment decisions, and creating executive-ready narratives while escalating risks. Qualifications include 8+ years in enterprise SaaS product management, strong AI experience (LLMs, prompts, evals, responsible AI), the ability to lead ambiguous cross-functional initiatives with executive visibility, and familiarity with Atlassian products, strategy/OKRs, and analytics.

Atlassian offers flexible work locations—office, home, or hybrid—and hires people in any country where they have a legal entity. They’re seeking a Lead Product Designer for the Rovo & AI team to work on AI experiences across Atlassian apps (Jira, Confluence, Bitbucket, etc.) with collaboration across teams, primarily based in Australia and the West Coast of North America. Responsibilities include leading the strategic vision and conceptual design for customer experiences across the AI landscape, applying systems thinking, driving cohesive design, and leading design reviews while coaching other designers. The role entails partnering with leadership and cross-functional teams to create a unified view of AI capabilities, leading projects from creation to execution, tying outcomes to customer value, and identifying success metrics and opportunities to accelerate AI and search experiences. Qualifications require 10+ years in enterprise software product design, experience delivering end-to-end UX and strategic programs across multiple delivery teams, storytelling, balancing user needs with business and technical feasibility, collaboration and facilitation, design systems expertise, and experience measuring success and driving process improvements.

Atlassian is investing in Generative AI and seeking a Principal Machine Learning Systems Engineer (P60) in the US to lead GenAI Products & Knowledge Innovations, bridging advanced algorithms with scalable infrastructure. The role will design and build scalable ML systems for training, fine-tuning, and serving large language models and embeddings, including retrieval, hybrid search, and RAG pipelines tied to knowledge-grounded data. It emphasizes rapid prototyping and applied research, building POC systems and turning them into reliable, production-ready services while optimizing latency, throughput, and resource efficiency for GenAI workloads. The position requires collaboration across ML engineers, backend developers, and product teams to ship end-to-end innovations and contribute to deployment, monitoring, and evaluation best practices, establishing the team as a hub for GenAI systems innovation. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity.

Atlassian is a global leader in team collaboration and productivity software with products like Jira, Confluence, Trello, Bitbucket, and Rovo used worldwide to plan, track, and manage work. The company is hiring a Principal Machine Learning Engineer for its Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph, plus the infrastructure to accelerate AI development. Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The role involves leading the development and implementation of cutting-edge ML algorithms and models that power AI capabilities across Atlassian’s products, collaborating with product, engineering, and analytics teams to translate business needs into solutions. Responsibilities also include designing system and model architectures, conducting rigorous experimentation and evaluation, providing technical mentorship to ML engineers, and helping shape Atlassian’s AI strategy.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where it has a legal entity. They are seeking a Principal Fullstack Software Engineer to join and drive creative improvements for engineering teams. The role involves understanding the user journey, collaborating with product, design, and engineering to influence product strategy, and guiding the technical direction for large-scale features. You will evaluate trade-offs for correctness, robustness, performance, and customer impact, debug inefficiencies, and ship well-tested, secure, reliable, and maintainable code. You’ll contribute to code reviews, documentation, and complex bug fixes with emphasis on security and performance, mentor teammates, grow the growth engineering team, and identify blockers to uphold design principles, testing, performance, and privacy practices.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally in countries with a legal entity. The role is fully remote but requires you to be located in US Pacific or Mountain time zones. They are seeking a Principal Backend Software Engineer to join and drive creative improvements for engineering teams. Responsibilities include unblocking challenges across the software development cycle, designing solutions, planning large projects, solving complex architecture issues, leading code reviews and documentation, and tackling high-risk bug fixes. The role also involves setting standards for meaningful code reviews, partnering across teams on company-wide projects, transferring knowledge across languages, and mentoring junior engineers.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity. The Lead Paid Search Strategist is a senior individual contributor who will own the global paid search program across Atlassian’s product portfolio (Jira, Confluence, Trello, Loom, and more), defining brand and nonbrand strategies and advancing bidding, attribution, and measurement systems. Responsibilities include governing global paid search strategies, driving in-house automation and value-based bidding, directing agencies on tactical execution and QA, partnering with Data Science on experiments and enterprise models (MMM, MTA, LTV), leading forecasting and budget reallocations, evolving AI-driven formats and SERP strategies, and collaborating with Ad Ops on data resilience, privacy, and end-to-end message alignment. Requirements include 8+ years of paid search experience in high-growth B2B SaaS or enterprise tech, proven multi-million-dollar budget management, ability to specify technical requirements for conversion APIs, offline conversions, and attribution models, expertise in causal experimentation and attribution, and experience leading agencies and communicating with senior leadership; preferred skills include SQL, BigQuery, Google Ads Scripts, and enterprise BI dashboards, plus international search expansion. It is a senior individual contributor role with no direct reports, requiring close collaboration with Product Marketing, Web, Data Science, Ad Ops, and product teams to align search strategy with roadmaps and privacy standards.

Atlassian offers flexible work locations and hires globally where it has a legal entity, with an AI-powered product suite (Jira, Confluence, Loom, Rovo) as the backbone of how teams work. The role aims to bring Atlassian’s AI and platform transformation story to Strategic & Enterprise accounts and generate sales pipeline for the East/Canada region. You will own the account-based marketing strategy, execute 1:1 omni-channel campaigns, plan events, and partner with sales to create and accelerate opportunities, using AI tools to inform strategy and optimize performance. Requirements include 7+ years of B2B marketing with 3+ years ABM in a high-growth environment, proven pipeline generation, strong AI fluency, strategic thinking, cross-functional influence, data-driven decision-making, and experience with marketing automation/CRM. The team, Regional & Partner Marketing, is a global group of business owners building a regional marketing function that shapes Atlassian’s next chapter market by market.

Atlassian offers flexible work locations—office, home, or a hybrid approach—and hires in any country where they have a legal entity. You’ll join the Rovo Chat Quality team within the Rovo + AI organization, focused on turning “make Rovo better” into measurable customer value by building evaluation systems, datasets, quality signals, and production ML capabilities. As a Senior Machine Learning Engineer, you’ll tackle open-ended technical problems, stay hands-on while setting direction across teams, and architect and build production ML and evaluation systems at scale, advancing Rovo’s agentic capabilities. You’ll close the loop between evaluation and product impact—identifying systemic failure modes, shipping interventions, and assessing whether they improve customer outcomes—while making high-leverage decisions about models, prompting, data strategy, architecture, latency, safety, and cost, and leading cross-organizational initiatives to standardize quality. The ideal candidate has a track record shipping large-scale ML/AI systems, experience with LLM-powered products and agentic systems, strong production engineering and technical leadership skills, and the ability to communicate clearly and mentor others.

- Atlassian is seeking a Commercial Counsel to join the Commercial Legal team, focusing on Enterprise Sales in the Central/West AMER region and negotiating SaaS agreements with major enterprise customers in the Central/West US, LATAM, and Canada. - The role is remote (with an option to work from an Atlassian office) and involves liaising directly with Sales clients and customers to support strategic projects and transactions. - You’ll be part of a six-attorney team supporting Central/West US Sales as well as expanding Canada and LATAM Sales, handling contracts from drafting to execution, including redlining, exhibit coordination, approvals, record management, and post-execution compliance. - You will provide pragmatic, business-minded guidance on customer requests, obtain internal approvals for modifications, and draft terms in collaboration with Product, Engineering, and Compliance for highly-regulated customers. - The ideal candidate is ownership-driven and collaborative, able to translate SaaS contracting complexities, manage risk while closing deals, navigate a decentralized global organization, and bring strong knowledge of software/cloud services and AI-related issues with creative, risk-based recommendations.

Atlassian supports flexible work locations—office, home, or hybrid—and hires in any country where it has a legal entity. The role is fully remote but must be located in US Pacific or Mountain time zones. They seek a Fullstack Software Engineer focused on delivering creative improvements for engineering teams. Responsibilities include building REST APIs powering core customer experiences and creating customer-facing React components. Additional duties cover configuring monitoring for backend services, building CI/CD pipelines, developing integrations with the content management system, and delivering reliable features and services.

Atlassians can work anywhere—office, home, or hybrid—giving them control to support family and personal priorities, and the company hires globally where it has a legal entity. In this role, you will serve as an Expert Product Seller in the ITSM/ESM space, shaping sales strategies and Jira Service Management’s positioning within the Atlassian platform. You will own end-to-end JSM sales motions, leading the full cycle from prospecting to discovery, solution design, business case, negotiations, and close, while collaborating on territory/account strategies to drive net new revenue and expansion in Enterprise accounts. You will engage customers with value selling, building ROI cases linked to outcomes such as MTTR, change failure rate, agent productivity, and cost per ticket, and lead competitive campaigns plus cloud migrations from Data Center to Cloud. You will work cross-functionally with Solution Engineers, Customer Success, Marketing, and Partner Ecosystem; forecast and manage pipeline using MEDDPICC or a similar methodology; and provide a voice of the customer to shape JSM roadmap and go-to-market strategy.

Atlassian offers flexible, distributed work options with virtual interviews and onboarding, hiring globally for roles across the company. The role centers on the Agentic AI Integrations team, building AI integrations like the Rovo MCP Server and agent-to-agent workflows, leveraging tools such as Claude Skills and ChatGPT/Claude Apps within the Atlassian ecosystem. It targets bleeding-edge AI technologies, moving from prototyping to scalable enterprise-grade AI products used by thousands of developers and enterprise users. Responsibilities include ML performance and systems work (tuning MCP servers for latency, reliability, and semantic retrieval), designing MCP servers, tools, and agent-facing APIs, and delivering accessible, performant frontend experiences with React and TypeScript, plus API integrations and token/context optimization. The role also emphasizes AI/ML quality programs, automated CI/CD evaluations, observability and production diagnostics, and strong security practices (OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses) to ensure maintainable, well-tested AI integrations.

Atlassian offers flexible, distributed work options and hires globally in countries where it has a legal entity, with virtual interviews and onboarding. In the Senior Application Engineering Manager role on the Corporate Engineering - Finance Technology team, you will work on Oracle Fusion Cloud and other Finance SaaS apps to modernize Finance Operations through transformations, automation, AI/ML, and will lead a group of application development engineers and software engineers. You will lead run-the-business operations and multi-project initiatives, guide the team to maximize Fusion Cloud features across core financial modules (OM, AR, AP, FA, GL), and ensure projects align with OKRs while collaborating with internal customers and other engineering teams. The role emphasizes an automation mindset (RPA and low-code/no-code tools), integration within a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, etc.), a metrics-driven approach, and SOX compliance with Internal Audit. Key qualifications include 9+ years as a hands-on senior engineering manager in core finance, expertise in Oracle Fusion Cloud and other SaaS systems, experience with automation tools (RPA, Workato, Camunda), exposure to systems like SalesForce and Databricks, familiarity with AI/ML, 24x7 reliability, and strong interpersonal and communication skills.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity to support employees’ personal goals. The role is Principal Engineer with a Deep Engineer archetype in the Kubernetes Platform, owning technically complex, high-impact outcomes from problem definition through production, with deep expertise in agent infrastructure and distributed systems. Responsibilities include defining the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads, and leading architecture and implementation of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities. The role requires owning end-to-end outcomes for cross-team initiatives, advancing portable, cloud-native execution across GCP and AWS while balancing platform consistency with regional and workload needs, and championing operational excellence for a tier-0 platform. Success is measured by sustained outcomes—safer workloads, faster iteration, reliable services, and broader leverage across Atlassian—along with improving developer experience, setting direction through proposals, mentoring engineers, and growing an inclusive, high-performing team.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where they have a legal entity. As a senior ML Systems Engineer on the Search Platform team, you will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo, including scalable infrastructure, retrieval pipelines, vector indexing, and embedding-based semantic search, with end-to-end delivery across multiple regions and tenants to meet strict SLOs. You will build and serve production ML models (neural rankers, embedding models, reranking) and integrate them into serving frameworks like Triton and PyTorch, collaborating with researchers to translate experiments into robust, monitored production systems. The role covers agentic search and Retrieval-Augmented Generation use cases, including personalized indexes, grounding pipelines, and multi-step retrieval, partnering with Rovo and AI platform teams to scale and keep retrieval fresh and relevant. You’ll drive operational excellence and cost discipline through observability, incident response, FinOps-driven optimization, on-call readiness, capacity planning, and cross-functional collaboration to align roadmaps, mentoring, reviews, and engineering best practices.

At Atlassian, you can work flexibly (office, remote, or hybrid) and the company hires in any country with a legal entity; in this role you’ll lead high-impact incident response in a complex cloud environment, coordinating with Detection, Security Engineering, Product Security, Legal, Crisis Communications, Support, and senior leadership, while directly managing a US-based team of 5-8. You’ll coach incident responders, raise the quality of investigations and executive communication, and improve the incident response system through playbooks, metrics, exercises, post-incident reviews, and better tooling, including driving the adoption of investigative AI tools and automation to speed triage and surface relevant signals without compromising rigor. The role requires strong incident leadership, operational maturity, and people leadership from day one, with experience guiding complex, multi-stakeholder security incidents in SaaS, cloud, or enterprise environments and a track record of developing senior engineers and clear, actionable executive communication. You should have hands-on familiarity with investigation workflows, detection and response tooling, log analysis, and coordinating across globally distributed teams, plus experience deploying AI-enabled automation to reduce toil, enhance triage, enrich cases, and orchestrate response workflows, all grounded in systems thinking and calm, structured decision-making under pressure. The team culture emphasizes calm execution, collaboration, low-ego behavior, blameless reviews, measurable improvement, psychological safety, and accountability, offering a unique opportunity to shape major incidents, mature security operations, and responsibly advance investigative AI at scale.

Atlassian offers flexible work options—office, from home, or a combination—and hires in any country where it has a legal entity. The company is looking for an experienced analyst relations practitioner with a deep understanding of the industry analyst landscape and strong relationships with DevOps and AI influencer analysts to drive its AI Software Delivery solutions program. In this role you will build and maintain trusted relationships with analysts at Gartner, Forrester, IDC and other firms, serving as the primary point of contact for inquiries and briefings, and coordinate cross-functional responses to RFIs and research cycles to drive favorable evaluations. You will translate analyst insights into competitive analyses and data-based recommendations for product and marketing, advise teams on leveraging analyst research in campaigns and market strategy, and explore new analyst relationships and engagement formats while driving AI-powered workflows to increase program efficiency. Qualifications include 3-5 years of Analyst Relations experience with a SaaS provider, an understanding of the industry analyst landscape and software engineering and developer-focused analysts, and a proven ability to drive a strategic Analyst Relations program with cross-functional partners.

Atlassian operates as a distributed-first company with flexible work options and virtual interviews, hiring in every country with a legal entity. The Intern program runs 12 weeks (May/June 2027–August/September 2027), is based in the Pacific Time Zone, and does not offer F1/J1 sponsorship. As a Product Design Intern, you’ll tackle real design challenges across Atlassian’s products, collaborating with designers, product managers, engineers, and researchers to turn customer problems into accessible experiences. You’ll contribute to design systems and prototypes while learning how AI-native and connected teamwork shape modern collaboration at scale, exploring AI-powered experiences across Jira, Confluence, and the cloud platform. Requirements include being enrolled full-time in a 4-year bachelor’s or 2-year master’s program, returning after the internship, graduating by June 2028, and having less than a year of professional experience, with preferred qualifications such as user-focused design experience, ability to manage multiple projects, and strong collaboration skills.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where it has a legal entity to support employees' family and personal priorities. The Principal Enterprise Security Engineer is the senior technical authority responsible for corporate architecture, SaaS platforms, and workforce technologies, driving the long-term vision and safeguards that enable business agility at scale. Their key responsibilities include strategic leadership to define the end-to-end security architecture across endpoints, identity, network, and data, and leading architectural reviews of major initiatives like AI adoption and zero-trust modernization. They provide technical SME guidance, influence platform and service design with security integrated from the outset, and push for risk-based investment decisions while improving productivity and safety by automating controls, drift detection, and enabling rapid change through CI/CD and policy/config change planning. They collaborate across security, engineering, and product teams, act as the liaison between Corporate Security and Product Security, and mentor security practitioners across multiple levels.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. Loom is Atlassian’s async video product that enables quick video updates instead of long messages or meetings, and it now integrates with Confluence while offering AI-generated transcripts and summaries through Rovo. Loom is used by millions across time zones and is entering an exciting new phase of expanding how async video helps people and AI agents collaborate. Joining the Loom Analytics team means shaping the direction of a product people genuinely love at the intersection of product strategy, customer insight, and experimentation, through collaboration with diverse cross-functional partners. You will use quantitative analysis, experimentation, forecasting, and storytelling to communicate insights to leadership, inform roadmaps, and drive value for people, businesses, and Atlassian.

You will be a Principal Data Scientist on Atlassian’s Global Experiences Data Science team, bridging advanced analytics with the company’s customer-facing products. Reporting to the Manager of Global Experiences Data Science, you’ll lead high-impact work that shapes how millions of users experience Atlassian’s products and communicate insights to senior leaders. You’ll define and drive the data science strategy for your product area, translating ambiguous business problems into rigorous analytical frameworks with measurable outcomes. You’ll own end-to-end development of ML models and analyses—from problem framing and data acquisition through experimentation, deployment, and ongoing evaluation—plus experimentation infrastructure like A/B test design and power analysis. You’ll surface high-impact opportunities, mentor junior scientists, set standards for modeling and code quality, collaborate cross-functionally on metrics and north-star measurements, and promote best practices in feature engineering, model monitoring, and responsible AI across teams.

Atlassian is seeking an experienced commercial counsel to join its Commercial Legal team to support enterprise transformations and close critical deals with enterprise customers in the Central/West U.S., Canada, and LATAM, in close partnership with Sales. The role will involve negotiating enterprise cloud agreements, guiding customer requests, and driving deals to execution while developing training materials for Sales on contract terms and other legal issues. It also includes leading special projects to scale the Legal and Sales functions and bringing a legal perspective to cross-functional quote-to-cash initiatives, collaborating with Privacy, Trust, Finance, and Product teams. The candidate should be autonomous, collaborative, risk-aware, able to manage multiple priorities under tight deadlines, and capable of navigating Atlassian's decentralized, global organization with empathy for customers. They should have a strong understanding of software, cloud services, generative AI, and technology trends, think creatively to propose solutions, and Atlassian offers flexible work arrangements and hires anywhere with a legal entity.

Atlassian offers flexible work arrangements—office, home, or a mix—to help employees balance family, personal goals, and other priorities. They hire people in any country where they have a legal entity. They’re seeking a senior full-stack engineer for the DX team, comfortable with Ruby on Rails, raw SQL, React, and TailwindCSS. You’ll own end-to-end features in a highly scalable, cross-geo environment, building robust REST APIs, crafting customer-facing UI, writing performant SQL, reviewing code, and ensuring observability, security, and performance. You’ll collaborate with product, design, and other engineers, participate in Agile ceremonies, and uphold a high bar for quality while improving engineering practices and tooling around data correctness and reliability.

Atlassian aims to reinvent B2B selling and has built a multi-billion business by delivering products that delight customers and remove friction, with this role serving as a key operational partner to the Global Solution Sales Engineering organization to drive in-period performance and scalable growth. The ideal candidate thrives in a fast-paced, high-growth environment, is highly organized, analytical, a self-starter, and able to communicate effectively from analysts to senior sales leadership. Responsibilities include acting as a trusted partner to SSE leaders across segments and geos to drive revenue performance, operational rigor, forecasting discipline, and data-driven decision-making. Core focus areas comprise forecasting and pipeline management, coverage and capacity planning, territory design and headcount planning, and driving the adoption of franchised SSE sales practices, with opportunities to implement AI and automation. The role also involves collaborating with Central Operations, Analytics, Sales Acceleration & Systems, and Sales Enablement to optimize processes, support QBRs, SPIFF tracking, performance reporting, and cadence planning for the SSE organization.

At Atlassian, you can work where you choose and the company hires globally for this Senior Principal Technical Program Manager role, which is a senior individual contributor position with department- and portfolio-level scope across Enterprise and Emerging Businesses. The role requires partnering with leaders across Product, Engineering, Design, GTM, Finance, Legal, Security, IT, and Transformation, spanning near-term market launches to multi-year platform migrations, monetization, and operating-model transformations, and you will be accountable for outcomes rather than just plans. You will own portfolio-level outcomes, orchestrate cross-functional delivery, turn ambiguity into clarity, drive strategic launches and transformations, influence senior leaders, establish durable governance and readiness mechanisms, measure impact, raise the program-management craft, and lead through influence. The role reports to the Head of Program Management for Enterprise and Emerging and is a member of the Program Management Technical craft, with responsibilities across multiple teams and time horizons. In the first 12 months, success means delivering an integrated view of strategic programs with dependencies and risks, delivering high-impact programs with measurable customer, revenue, or operational impact, improving executive visibility and decision velocity, introducing at least one reusable program-management mechanism, and building durable partnerships with senior leaders.

Atlassian offers flexible work locations (office, home, or a combination) and hires in any country where it has a legal entity, emphasizing balance and global reach. The opportunity is to build narrative authority in AI and shape how the market understands AI for teams, with this role central to turning product and AI insight into distinctive executive social presence. Reporting to the Editorial & Executive lead, you’ll partner with social media, product marketing, communications, and senior executives to develop credible, timely content. Responsibilities include shaping executive social voice, tracking the AI zeitgeist, converting insights into content for platforms like X and LinkedIn, building repeatable cadences, advising on participation, collaborating cross-functionally, and measuring performance to refine the approach. The role addresses the need for authentic technical understanding to engage engineers, founders, and enterprise buyers, leveraging Atlassian’s product depth and senior leadership to sustain a public narrative that compounds social authority.

Atlassian supports flexible work locations and global hiring where we have a legal entity, with this role requiring up to 50% travel. The Forward Deployed Architect is a trusted transformation architect who combines enterprise-grade design with business acumen to shape how strategic customers adopt Atlassian, and this is not a traditional Solutions Engineer or hands-on engineering role; they are the architect in the room turning vague modernization goals into credible, phased, AI-native architectures and transformation plans. They are embedded with 1–3 strategic accounts at a time (3–9 months each), owning technical truth and the business transformation end-to-end, and they design the System of Work across functions, lead cross-functional workflow transformation, and expand Atlassian adoption beyond development teams into HR, Finance, Marketing, PMO, Operations, supported by change management and success metrics. In Architecture & Technical Design, they own the target-state architecture across Plans, Goals, Work, Knowledge, Code, and AI, designing the full stack (multi-tenant SaaS, identity/SSO, data residency, integrations, Forge & Connect, marketplace, migration paths) and co-designing AI-native workflows while delivering durable artifacts. They orchestrate executive discovery, coordinate across SE/SA/TAS/FDE/PS/Partners, translate business outcomes into capability roadmaps, mentor other architects, capture patterns for Product, and represent Atlassian externally through talks and publications.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires globally wherever they have a legal entity. The Risk and Compliance Senior Manager will drive the company’s risk and compliance strategy for cloud and enterprise programs, requiring deep expertise in frameworks, risk management, internal controls, and the ability to lead cross-functional initiatives and influence stakeholders. Responsibilities include owning the annual compliance plan, leading internal control programs, and managing end-to-end audits with evidence collection and remediation across frameworks like SOC 2, ISO 27001, HIPAA, and others. The role also involves managing control deficiencies, collaborating strategically, building business cases, advising partners, sharing knowledge, mentoring, and driving continuous improvement in processes, metrics, reporting, and analytics for the R&C function. Ideal candidates have 7+ years in technology risk management, compliance, or information security in large-scale SaaS/cloud environments, strong audit and control experience, familiarity with frameworks (SOC 2, ISO 27001, HIPAA, IRAP, PCI, C5), relevant certifications (CISA, CISM, CRISC, CISSP), and Jira/Confluence experience is a plus.

1) Atlassian emphasizes distributed work flexibility and virtual interviews, hiring in any country with a legal entity, with details at their distributed site. 2) The Intern Program combines hands-on training, mentorship, and exposure to AI-driven product management to prepare interns for a successful career. 3) The internship role is based in the Pacific Time Zone, requires availability to work there, and does not offer F1/J1 visa support or sponsorship. 4) Interns will collaborate with product, design, and engineering teams, talk to customers, translate insights into actionable plans, research competitors and AI tools, and prototype solutions. 5) Eligibility requires being a full-time technical student returning to the program after the internship, with expected graduation by June 2028, and a 40-hour-per-week schedule.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country with a legal entity to support personal priorities. - The team is the product team behind Guard, Atlassian’s enterprise control plane that governs who can do what, under what policy, with what proof, inside Atlassian; external governance tools can look in, but only Atlassian can govern from within. - The work centers on five pillars—Identity & access foundations, Roles & permissions, Policy platform, AI & agent governance, and Governance experience—aiming to enable enterprise identity systems, granular admin control, a unified policy model, and auditable governance. - This is a senior, cross-cutting Principal PM role that operates across identity, policy, admin, and AI governance; the scope is intentionally flexible and will evolve, with day-to-day involving solving ambiguous cross-cutting problems and shaping strategy for foundational primitives while aligning multiple engineering teams. - Responsibilities include end-to-end, wedge-driven delivery that demonstrates real customer usage, collaborating with adjacent teams, and representing the team to enterprise customers and internal stakeholders on identity, access, and AI-governance questions.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where it has a legal entity. The Revenue Operations team acts as a strategic partner to customer-facing groups, translating business priorities into operating plans, scalable processes, and reliable insights across strategy, operations, systems, and analytics to improve post-sales planning, execution, and measurement at scale. The role sits in the Your Future Team, providing operational support across Partner & Alliances, Customer Success, and Strategy & Analytics to help leaders coordinate priorities, define reporting needs, and run effective business rhythms. Responsibilities include shaping operational priorities and annual planning with senior leaders, coordinating cross-functional programs and roadmaps, translating questions into analytical requirements, and establishing scalable data/reporting frameworks across post-sales workflows. It also involves partnering with analytics, systems, and tooling teams to enhance data quality and reporting across Salesforce, Gainsight, and Tableau, driving accountability for initiatives, and identifying automation and AI opportunities to improve speed and consistency.

Atlassian offers flexible work options (office, home, or hybrid) with a preference for the San Francisco Bay Area or US West Coast, but hires can be made in any country where the company has a legal entity. The Lead Design Technologist leads cross-department projects and delivers scalable design technology solutions that enable product builders and AI-driven design workflows, reporting to the Senior Manager, Design Technology. They will join the Design Technology team within Core Design, a multidisciplinary group building foundational tools, components, and AI-native workflows that power the user experience across Atlassian apps, partnering with product, engineering, and accessibility teams to create scalable, inclusive enterprise solutions. Responsibilities include delivering solutions across multiple workstreams, championing rapid prototyping and user testing, mentoring others, and enhancing design workflows through custom tooling and automation while solving complex design technology issues and leveraging AI/LLMs. The role requires advanced skills in JS frameworks, prototyping, and motion design, plus co-creating sense-making artifacts and driving adoption of best practices and continuous improvement in design technology.

Atlassian offers flexible work locations—office, home, or hybrid—and hires in any country where it has a legal entity. The company’s agile & DevOps, IT service management, and work management software help teams collaborate and complete work, with Jira Software, Confluence, and Jira Service Management used by Fortune 500 companies and organizations like NASA, Audi, and Dropbox. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, cross-sell and expand, nurtures relationships, and advocates for customers by feeding feedback to product and engineering teams. In this role you will own about 40 accounts (200-10,000 seats), carry a $2-4M annual quota, and lead cross-functional deal teams as the quarterback, building executive relationships across IT, business, and marketing, while applying MEDDPICC to qualify and win complex opportunities. You will close multithreaded, multi-solution deals, collaborate with channel, marketing, product, and customer success teams, negotiate pricing, maintain a healthy pipeline with accurate forecasting, stay current on industry trends, and occasionally travel for meetings and events.

- Atlassian supports flexible work locations (office, home, or hybrid) and hires people in any country where it has a legal entity, giving employees more control over family and personal goals. - DX is a Salt Lake City–based, rapidly growing SaaS company that helps engineering leaders build high-performing teams, collects millions of data points daily to generate insights on developer productivity, and has grown profitably, tripling ARR, before its acquisition by Atlassian. - By joining Atlassian, DX will gain more resources, accelerate growth and R&D, and deliver greater impact to customers. - DX emphasizes mastery as its core value, with clear criteria for performance and strong rewards for those who excel, while acknowledging that external factors can affect outcomes. - The role entails prospecting, qualifying, and closing new opportunities, owning the full sales cycle, running PoCs and demos, building a disciplined pipeline, guiding buyers through complex evaluations, feeding market feedback into product and GTM improvements, and staying current on industry trends and the product roadmap.

Atlassian offers flexible work locations—office, home, or a mix—and hires people in any country where they have a legal entity, giving staff more control over family, personal goals, and other priorities. They work with over 300,000 customers worldwide, including NASA, IBM, Hubspot, Samsung, Booking.com, Heineken, IKEA, and Coca-Cola, with a goal to unleash the potential of every team through software, delivering customer impact and ongoing revenue growth. What makes Atlassian unique is the value of “play as a team,” with employees supporting each other, celebrating wins together, and sharing knowledge, working with Atlassian rather than for Atlassian. The sales role focuses on building and nurturing relationships with key stakeholders, negotiating complex contracts, and collaborating with internal teams (Channel Partners, Product Specialists, Account Managers, Solution Engineers) to ensure customer satisfaction, seeking individuals who are customer-focused, creative, and have a hunter mindset to serve Fortune 500 companies. Responsibilities include developing named account or territory plans, executing strategic sales, qualifying leads, building C-level relationships, proposing solutions, coordinating with cross-functional teams, negotiating pricing, forecasting, staying aware of industry trends, traveling as needed, serving as the main contact/escalation point, and running strategy plays to identify opportunities in complex sales cycles with Channel sales.

DX Fabric is the contextual engine for AI-native engineering, providing an architectural context, health signals, and impact metrics through a unified software catalog, scorecards, and self-service tools to help organizations map their software ecosystem and drive improvements at scale for AI-enabled workflows. It delivers the ownership, dependencies, standards, and guardrails AI agents need to perform effectively within engineering processes. The team operates like a startup inside Atlassian—small, fast-moving, with minimal meetings and bureaucracy, focusing on end-to-end UX, close collaboration with product and design, and rapid iteration guided by customer feedback, backed by Atlassian resources. The role is fully remote across US time zones (prefer Pacific or Mountain), involving building scalable backend-heavy fullstack features, robust REST APIs, and customer-facing React components, along with strong emphasis on code quality, testing, documentation, reliability, security, and monitoring. Projects include Systems Catalog, Scorecards, and Self-Service & Agent Ops to scale for hundreds of thousands of repositories, using Rails, React, TailwindCSS, and PostgreSQL with a focus on solving user problems rather than chasing the latest frameworks.

Atlassian offers flexible work options (office, home, or hybrid) and the ability to hire in any country where the company has a legal entity. The role centers on the Agentic AI Integrations team, which builds the Rovo MCP Server, agent-to-agent integrations, and AI capabilities like Claude Skills and ChatGPT/Claude Apps to weave AI across the Atlassian ecosystem. The team works on bleeding-edge AI technologies, aiming to move from prototyping to highly scalable enterprise-grade products used by thousands of developers and enterprises. Key responsibilities include building and mentoring a software engineering team, delivering foundational multi-agent system components and adopting protocols like MCP and A2A, collaborating with Product, Platform, and Data Science, maintaining reliable services with cost and latency optimization, and contributing to AI interoperability standards. Requirements include 8-10+ years of software development with at least 4+ years in people management, hands-on AI/ML platform engineering or agent frameworks, and proficiency in Python, TypeScript, or Go, along with experience in high-scale distributed systems, vector databases, and observability pipelines.

Atlassian offers flexible work options and hires globally where it has a legal entity. The company is hiring a Product Manager who loves AI-powered conversational experiences to lead Rovo Chat, Atlassian’s AI-driven interface for knowledge discovery and action across the digital workplace. The role involves shaping the strategic vision and roadmap for Rovo Chat, aligning with Atlassian’s AI strategy and driving adoption and engagement (MAU). You will drive cross-functional development of intelligent chat experiences that connect users to knowledge from Jira, Confluence, Bitbucket and external sources, with multi-turn dialogue, memory, and proactive assistance, from ideation through launch and iteration. You will define success metrics for quality and adoption, champion responsible AI practices, and ensure safe, transparent, inclusive conversational experiences, reporting within the Central AI team.

Atlassian offers flexible work options—office, home, or a mix—to help employees support family, personal goals, and other priorities. The company hires in any country where it has a legal entity. Data is a big deal at Atlassian, with billions of events ingested monthly into analytical platforms and dozens of teams relying on data platforms to drive decisions. Atlassian is seeking an Engineering Leader to join the Data Engineering team to build data products that power GTM (Marketing and Sales) strategy and other important organizational decisions, leading a world-class data engineering practice and shaping technical strategy and data architecture for reporting, analytics, data science, ML, and AI workloads. The leader will act as the data domain specialist, partnering with IT, data platform, product engineering, GTM stakeholders, analytics teams, and data scientists to support multiple programs.

Atlassians can choose where they work—office, home, or a combination—and this flexibility helps them support family, personal goals, and other priorities; the company can hire people in any country where it has a legal entity. Jira helps teams plan, track, and deliver work across industries and is used by hundreds of thousands of organizations; as AI changes collaboration, Jira is evolving from a tool into a platform that works alongside teams. The role sits at the center of Jira's AI transformation, leading the design vision for an intelligent platform where agentic systems and human teams collaborate as teammates, including how agents take direction, report progress, negotiate tradeoffs, and earn trust. Responsibilities include defining the multi-year design direction, aligning across product, engineering, and leadership, leading 8–12 designers, partnering with engineering on architecture and LLM behavior, driving experimentation, owning end-to-end design quality of AI experiences, and coordinating across AI platform and ecosystem teams. The candidate profile requires direct experience designing for agentic systems or AI platforms, technical depth to work with engineering leaders, a track record of leading large-scale enterprise or developer-facing products, and experience building and growing teams; strategically, Jira's status as Atlassian’s flagship product and the greenfield opportunity of agentic AI make this role pivotal.

Atlassian offers flexible work options—office, home, or hybrid—and hires globally in countries where it has a legal entity, serving more than 300,000 customers including NASA, IBM, HubSpot, Samsung, and Coca-Cola. The company aims to unleash the potential of every team through software, delivering exceptional customer impact and ongoing revenue growth, guided by the team-centric value “play as a team.” They emphasize that employees work with Atlassian, not for Atlassian, and there is strong earning potential for the sales team within a large enterprise market, with a focus on responsible AI integration into cloud products and transparent cost migration. The sales role involves steering strategic accounts, developing account or territory plans, building relationships with C-level executives, identifying upsell opportunities, and collaborating with internal teams, channel partners, product specialists, account managers, and solution engineers to deliver solutions. Additional responsibilities include market research, negotiations, providing forecasts to senior management, maintaining deep product knowledge, traveling as needed, and mentoring junior sales staff while aligning with Atlassian’s values.

Atlassian offers flexible work locations (office, remote, or hybrid) and 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. They are hiring a Senior Principal Engineer for the AI Foundations team to enable AI across the software development lifecycle, including how we measure it, provide context, and run compute at scale. The role is hands-on and leadership-by-doing—prototype hard parts, set the engineering bar, build foundational AI systems, give engineers real signals, and partner with engineering and product teams to decide when to buy, build, or bespoke solutions. It also involves mentoring senior engineers, aligning principals across the organization, and raising the team's ceiling for what’s possible.

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