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Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity, serving more than 300,000 customers worldwide, including NASA, IBM, Hubspot, Samsung, and Coca-Cola. Its mission is to unleash the potential of every team through software, deliver exceptional customer impact, and sustain revenue growth, guided by the value “play as a team” and a culture where employees work with Atlassian, not for it. The company is leading responsible AI integration into its cloud products, migrating customers to the cloud with cost transparency, faster collaborations, and improved business outcomes, under a strong, enterprise-focused sales strategy. The role targets high-value, strategically important accounts, requiring understanding of their long-term goals, developing customized growth strategies, and nurturing relationships with key decision-makers while collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deliver aligned solutions. Responsibilities include developing named Account or Territory plans, serving as main contact or escalation point, conducting market research, leading negotiations, providing forecasts, maintaining product knowledge, traveling as needed, and mentoring junior sales team members.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. The Senior Machine Learning Systems Engineer on the Search Platform will design, develop, and production deploy ML systems powering search across Jira, Confluence, and Rovo. Responsibilities include building scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and delivering ML components end-to-end across multiple regions and tenants with low latency and high availability (SLOs). The role also covers ML model development and serving (neural rankers, embeddings, reranking), integrating with serving infrastructure via Triton and PyTorch, and collaborating with researchers to productionize models with robust monitoring. Additional focus includes agentic retrieval and RAG use cases, partnering with Rovo and AI platform teams, and maintaining operational excellence, cost discipline, on-call readiness, capacity planning, and cross-functional collaboration with leadership, PMs, and mentorship.

Atlassian has evolved from Jira to a DevAI-driven suite focused on boosting developers’ productivity through an AI-native software development lifecycle. The DevAI lineup includes code review, code generation, agentic engineering, spec-driven development, and more, with a vision to transform software development. The role involves innovating core intelligence within DevAI—LLM integration, prompt engineering, and end-to-end AI features—working closely with a diverse team of scientists, software engineers, and partner groups. General responsibilities encompass strategic leadership, team building and talent development, stakeholder management, performance management, and technical mentoring to align AI/ML efforts with product goals. Daily duties include overseeing AI/ML initiatives end-to-end, allocating resources, refining processes, and proactively mitigating risks to maintain momentum.

At Atlassian, employees can work from an office, at home, or a mix, and the company hires in any country where it has a legal entity, giving people flexibility to support their priorities. Atlassian’s mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that enable collaboration and drive real-world impact, exemplified by NASA’s Mars Rover and Cochlear’s technology for the hearing-impaired. The Central AI Org is dedicated to driving AI innovation across all Atlassian products, delivering seamless AI experiences, building a centralized search/Q&A/conversational AI system, and exploring AI integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI by developing foundational tools and infrastructure that enable teams to build, deploy, and manage ML models and pipelines, while integrating with the Atlassian Data Platform and upholding security and data usage policies. The Senior Engineer role involves building core ML infrastructure for Jira and Confluence, curating datasets, fine-tuning LLMs, and leading projects from design to launch, with a requirement of 5+ years of ML/AI infra experience, strong Python and ML framework skills, cloud and big-data expertise, MLOps practices, and GenAI/RAG experience.

Atlassian supports flexible work locations and global hiring, with products like Jira Software, Confluence, and Jira Service Management helping teams organize, discuss, and complete shared work for Fortune 500 companies and many others worldwide. The company emphasizes a TEAM approach to guiding customer deployments at scale and values customer feedback to improve products and the overall experience. The Mid-Market sales team manages approximately 40 accounts with 200-10,000 seat counts and a $2-4M annual quota, leading cross-functional deal teams to drive net new growth and expansion. The role requires building executive relationships across multiple business groups, using MEDDPICC to qualify, advance, and win complex opportunities, pursuing multithreaded, multi-solution deals, negotiating contracts, and providing accurate forecasting. It also involves collaborating with channel, marketing, product, and customer success, staying current on industry trends and competitors, maintaining a healthy pipeline, and traveling occasionally for customer meetings and events.

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

At Atlassian, employees can choose to work in an office, from home, or a combination, giving them flexibility to support family and personal goals. Atlassian can hire in any country where it has a legal entity and is a publicly traded tech company with a growing tax function. They are hiring a Tax Senior to join the US Income Tax team, reporting to the US Tax Manager, to assist with the tax provision, compliance, and other tax matters. The role involves preparing the quarterly and annual US federal and state income tax provision and audited financial statements for a publicly traded corporation, and gathering information and workpapers for US income tax returns prepared by external advisors. Responsibilities include using technology (including AI) to improve processes, researching tax issues to provide analysis and recommendations, and communicating with federal or state tax authorities to resolve tax matters.

Atlassian allows Atlassians to work from office, home, or a mix, giving them control to support family and personal goals, and hires in any country with a legal entity. The company is building an observability layer for AI-assisted software development to measure how much code is written by AI agents and to attribute every line back to its origin. You’ll own major parts of a cross-platform endpoint agent end-to-end—architecture, implementation, and real-world deployment on developer machines. Responsibilities include building core systems to detect and attribute AI-generated code at line level across real Git workflows, designing pipelines to capture, classify, store, and ship developer and agent activity, and integrating with coding agents via editor/CLI hooks while supporting macOS, Linux, and Windows. They are seeking strong systems engineers with production experience in fast, reliable, user-invisible systems; high-agency individuals with product intuition; and bonus experience in Git internals, dev tools, endpoint or monitoring agents, SQLite, or cross-platform native development; Go is preferred but not required.

Atlassian offers flexible work options and hires in any country where they have a legal entity. They are seeking a Pre-Sales Enterprise Solutions Engineer who will be a product expert in the sales cycle, solving enterprise customer problems and helping close deals. The Presales Enterprise Solution Engineering team emphasizes value selling, teamwork, and showcasing how Atlassian’s cloud and AI collaboration solutions transform business outcomes. Responsibilities include partnering with account teams and Fortune 500 clients, conducting discovery, mapping needs to Atlassian products, leading tailored value-based demos, and guiding technical requirements for buy-in. Additionally, they’ll maintain strong partnerships with account executives, capture product feedback and competitive intelligence for internal use, and continuously learn to advance knowledge and processes.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity to support employees' priorities. The company is seeking a Pre-Sales Solutions Engineer for enterprise who acts as a product expert in the sales cycle, solves customers' hardest business problems, and helps close enterprise deals. The Presales Enterprise Solution Engineering team emphasizes value selling, showing how Atlasson products form integrated enterprise solutions that transform business outcomes, and operates with a collaborative, team-first culture. In this role you will partner with account teams and Fortune 500 customers, conduct customer discovery, map business problems to Atlassian solutions, identify cross-product opportunities, lead compelling value-based demos, and guide the customer's technical needs to secure buy-in. You will also continuously learn, document product feedback and competitive intelligence for internal development, maintain pipeline visibility with aligned account executives, and contribute to improving the selling cycle as Atlassian stays at the forefront of cloud and AI collaboration.

Atlassian supports flexible work arrangements—office, home, or hybrid—and hires in any country where it has a legal entity. The company is seeking a Technical Revenue Accounting Senior Manager to join the Revenue Accounting Team in a high-impact, cross-functional role that collaborates with GTM, Monetization, Sales, Legal, and Engineering to support growth and provide ASC 606 expertise on initiatives like new products and channel incentives. The role includes crafting roadmaps with Engineering, Sales, and Product to scale the enterprise order-to-cash process, leveraging technology to automate processes, and serving as the Revenue Team’s RevPro subject matter expert. It also entails proactively identifying risks, supporting external audits and SOX-compliant documentation, and maintaining internal controls over revenue processes, reporting to the Head of Revenue Accounting. Requirements include 8+ years of Enterprise/SaaS revenue experience with deep ASC 606 knowledge, RevPro and Oracle expertise, strong research and communication skills, Excel proficiency with SQL a plus, a BA/BS in Accounting with CPA preferred and Big-4 experience strongly preferred.

Atlassian offers flexible work locations and hires globally where it has a legal entity. They’re hiring a Tax Manager in the Global Tax Team to shape global tax strategy, develop tax-efficient structures, ensure compliance with US international tax laws, and collaborate cross-functionally to support business strategy, with a focus on automation and AI. Responsibilities include managing the global tax model, executing planning to optimize the global effective tax rate and cash tax position, and supporting quarterly/annual income tax provisions and US international tax calculations (NCTI, FDDEI, BEAT, Subpart F, IRC 986/987, FTCs). The role requires collaboration with cross-functional teams and external advisors, monitoring global tax developments, driving process improvements and scalable workflows, and supporting M&A due diligence and post-acquisition integration. On day one, candidates should have a CPA and/or JD (Master of Taxation or similar preferred), a minimum of 5 years in Big 4 and/or corporate multinational tax, strong ASC 740 knowledge, working knowledge of US international tax laws (Transfer Pricing, Subpart F, NCTI, FDDEI, BEAT, FTCs), advanced Excel and forecasting skills, and a proactive interest in AI, with an ownership mindset and strong communication in a fast-paced environment.

Atlassian lets employees choose where to work—office, home, or a hybrid—giving them more control over family, personal goals, and priorities. Atlassian hires people in any country where it has a legal entity. The role requires strong backend engineering with JVM languages (Java, Kotlin preferred), experience with data-heavy platforms and streaming systems (Kafka, Kinesis, SQS, Flink), understanding of CDC, backpressure, delivery semantics, and building resilient distributed pipelines, plus experience operating at scale and with multi-cloud or cloud-native infrastructures (AWS, GCP) and infrastructure-as-code that enables internal self-service. What you’ll bring includes 3-5 years of backend engineering experience with distributed systems, ownership and autonomous delivery of complex tasks, and a track record of timely, high-quality results aligned with team goals. You should be technically proficient with clean, flexible, reusable code, proficient in the team’s codebase and patterns, and capable of collaborating, navigating ambiguity, influencing decisions, and using data to measure feature impact.

Atlassian offers flexible work options—office, home, or a mix—giving employees greater control over family, personal goals, and other priorities, and they hire in any country where they have a legal entity. The role requires strong backend engineering experience with JVM-based languages (Java, Kotlin preferred) and data-heavy platforms and streaming architectures, with hands-on work in technologies like Kafka, Kinesis, SQS, Flink, or similar. Candidates should understand patterns such as change data capture, backpressure, delivery semantics, and how to build resilient data pipelines that maintain consistency across distributed systems, plus experience designing for high throughput and low latency. Multi-cloud or cloud-native infrastructure experience (AWS, GCP, or both) with familiarity with cloud primitives, infrastructure-as-code, and building platform capabilities that enable self-service for internal teams. You should have 3-5 years of backend engineering experience with distributed systems and data-heavy platforms, demonstrate ownership and timely delivery, write high-quality code, and collaborate effectively while navigating change and using data to measure feature impact.

At Atlassian, employees can work remotely or in-office and the company hires globally where it has a legal entity, seeking a Principal Sales Solutions Engineer, Strategic for enterprise deals. The role centers on being a product expert in the sales cycle, solving complex enterprise customer problems with Atlassian products, and helping close multi-million-dollar deals through value-based storytelling. The Solutions Engineering team partners with Enterprise Sales and Channel Partners to understand customer needs, conduct discovery, and demonstrate how Atlassian’s products work together to transform outcomes. Key responsibilities include engaging C-level and executive stakeholders, uncovering cross-product opportunities, leading compelling value-based demonstrations, guiding technical requirements, and forging cross-functional partnerships to align on pipeline and goals. The role also involves gathering product feedback and competitive intelligence, advocating for development, and continuously expanding knowledge of Atlassian offerings and sales processes in a cloud and AI-enabled landscape.

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

Atlassian offers flexible work arrangements—office, home, or hybrid—and hires in any country where they have a legal entity, allowing Atlassians to balance family, personal goals, and priorities. They are seeking a Principal Sales Solutions Engineer, Strategic for their enterprise business, who can be a product expert in the sales cycle, solve customers' toughest problems with Atlassian's products, and help close enterprise deals. The Solutions Engineering team, with backgrounds in pre-sales, consulting, and engineering, partners with the Enterprise Sales Team and Channel Partners to understand customer needs, deliver value-based demonstrations, and support Proofs of Value for large accounts like NASA, IBM, HubSpot, Samsung, and Coca-Cola. In this role you will partner with sales teams, partners, and large account teams on transformation deals with multi-million-dollar spend thresholds, engage with C-level executives to build long-standing relationships, perform customer discovery, map business problems to Atlassian products and cross-solution opportunities, lead value-based demos, and gain buy-in from both technical and executive stakeholders while coordinating with strategic account executives and cross-functional teams. You will also track product feedback and competitive intelligence, advocate for internal development with product management, and continuously learn and refine your pre-sales, product, and sales-process knowledge.