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- Atlassian offers flexible work locations (office, home, or hybrid), hires globally where it has a legal entity, and conducts interviews and onboarding virtually as part of a distributed-first approach. - The Investor Relations team sits at the heart of Atlassian’s long-term strategy, shaping the external narrative to connect investors, employees, and customers with the company mission. - The Director of Investor Relations will be a senior IR leader and key partner to the Head of Investor Relations, leading day-to-day IR execution, representing Atlassian with the investment community, and translating complex financials and product strategies into compelling external narratives. - Responsibilities include driving strategic external messaging, owning the quarterly earnings cycle and disclosures, advising executives, and managing investor and analyst engagement and flagship IR events. - The role also entails monitoring market sentiment, turning feedback into actionable recommendations for the C-suite, and leading cross-functional collaboration across Finance, Strategy, Corporate Development, Legal, Data Science, and Corporate Communications to ensure consistent messaging.

Atlassian can hire people in any country where they have a legal entity, and roles can be remote or in an office based on time zone overlap, with interviews and onboarding conducted virtually as part of their distributed-first approach. The Atlassian Advisory Services team is globally distributed and consists of experts who work with large strategic and enterprise customers to tackle complex business challenges and maximize the value of their Atlassian investments. They are hiring a Senior Solution Consultant with a Cloud Platform and AI focus to join the Advisory Services Delivery team as an individual contributor, not a manager, delivering strategic technical guidance to drive value realization for clients. Primary responsibilities include collaborating to align on strategic outcomes, solving business challenges with Atlassian products and practices, identifying opportunities for service and product expansion, building deep industry and solution expertise, creating technical content and prescriptive guidance, and advocating for customer needs across internal teams. Travel up to 30% domestically and, in some cases, internationally for internal and customer-facing events, with the aim of impacting millions of users by turning ideas into action and expanding the reach of Atlassian technologies.

- Atlassian offers flexible work options (office, home, or hybrid) and hires internationally wherever they have a legal entity. - Loom is Atlassian’s async video product that enables quick video updates and integrates with Confluence, with AI-powered transcripts and summaries via Rovo. - Loom is expanding how async video helps people and AI agents collaborate, with millions already using it across time zones. - Joining the Loom Analytics team means shaping product direction at the intersection of product strategy, customer insight, and experimentation, working with cross-functional partners and using quantitative analysis to develop and test strategies. - You’ll define opportunities, forecast and measure key metrics, influence roadmaps, use data to shape product development, and communicate insights broadly to leadership.

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

Atlassian lets employees choose where they work—office, home, or a mix—and hires from any country with a legal entity, serving over 300,000 customers including NASA, IBM, HubSpot, Samsung, and Coca‑Cola to unleash team potential with software and drive revenue growth. The company emphasizes the value of “play as a team,” supports one another, shares knowledge, and has employees work with Atlassian, not for it, while offering strong sales earning potential in a vast enterprise market. Atlassian is advancing responsible AI integration into its cloud products, migrating customers to the cloud, and building trust through cost transparency, faster collaboration, and improved business outcomes as part of a bold sales strategy. The sales role focuses on steering a set of high-value, strategic accounts, understanding their long-term goals, and developing customized plans to expand and retain them, while nurturing relationships with decision-makers and executives and collaborating across internal teams and partners to deliver aligned solutions. Key responsibilities include strategic account or territory planning, serving as the primary contact or escalation point, negotiating contracts, conducting market research, providing forecasts, maintaining deep product knowledge, traveling as needed, and mentoring junior team members.

- Atlassian offers flexible work options (office, home, or a mix) and hires globally where it has a legal entity, giving employees more control over family and personal goals. - The company serves over 300,000 customers worldwide—including NASA, IBM, HubSpot, Samsung, and Coca‑Cola—with a mission to unleash every team's potential through software, delivering customer impact and driving revenue growth. - Atlassian's unique value is "play as a team," fostering mutual support, shared wins, and knowledge sharing, with employees working with Atlassian rather than for it. - The sales role centers on strategic accounts, building relationships with decision-makers (including C‑level executives), identifying expansion opportunities, and collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deliver aligned solutions and negotiate contracts. - The company is leading responsible AI integration into cloud products and migrating customers to the cloud, while the role also involves developing named account or territory plans, forecasting, market insight, mentoring juniors, and traveling to meet clients and attend events.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country with a legal entity, helping teammates balance family, personal goals, and priorities. You’ll join the Rovo Chat Quality team within the Rovo + AI organization, focusing on turning “make Rovo better” into measurable customer value by building evaluation systems, datasets, quality signals, and production ML capabilities that reveal where Rovo succeeds or falls short. As a Senior Machine Learning Engineer, you’ll stay hands-on while setting direction across teams to advance models, agents, and evaluation, translating improvements into measurable benefits for millions of active users. Responsibilities include architecting and building production ML and evaluation systems at scale (datasets, simulations, automated judges, regression suites, experimentation platforms, online signals), advancing Rovo’s agentic capabilities (reasoning, planning, tool use, memory, long-horizon execution), and closing the loop between evaluation and product impact by shipping interventions and assessing outcomes, all while balancing quality, latency, safety, and cost. Required background includes a track record shipping large-scale ML/AI systems with measurable customer impact, deep experience with LLM-powered products and agentic systems, strong production engineering skills, technical leadership, and excellent product/technical judgment and communication.

DX, a fast-growing SaaS company headquartered in Salt Lake City and now part of Atlassian, helps engineering leaders build high-performing teams by collecting millions of data points daily to reveal developer productivity, with customers including Pinterest, GitHub, BNY, and Xero. Joining Atlassian will expand resources, accelerate growth and R&D, and enable greater impact for customers. DX values individual mastery and the highest level of performance, emphasizing that while outcomes depend on factors beyond control, you should strive to perform at the highest level. In this role you’ll coach a team of Strategic Account Executives to consistently hit revenue targets, operate as a player-coach on high-stakes deals, institutionalize the sales process with rigorous pipeline discipline and accurate forecasting, analyze performance to coach underperformers, drive GTM improvements from frontline feedback, and recruit and onboard top talent while fostering a culture of continuous learning. Ideal candidates are team-first, systems thinkers who lead by example, provide radical candor, thrive in ambiguity, balance data-driven decisions with the human element, and possess high emotional intelligence to navigate complex stakeholders.

- Atlassian supports flexible, distributed work with virtual interviews and hires in any country where it has a legal entity. - The Atlassian Intern Program combines hands-on training, mentorship, and exposure to innovative technologies like AI that are shaping the future of product management, aiming to launch students into impactful careers. - The internship role is in the Pacific Time Zone and requires ability to work there; it is not eligible for F1/J1 students and does not offer sponsorship. - Interns will collaborate with product, design, and engineering teams, speak with customers and partners, translate insights into actionable plans, research competitors and AI tools, and prototype solutions. - Applicants should have an interest in analyzing technology products and markets, translating insights for engineering, and applying AI, with eligibility including full-time technical degree enrollment, return-to-program after the internship, expected graduation by June 2028, and a 40-hour workweek.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally with virtual interviews and onboarding as part of being a distributed-first company. The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies driven by data insights to uncover growth opportunities, optimize the sales process, and increase market share. Success is measured by profitability, market share, and customer delight, with a focus on delivering sustainable, monetizable advantages in the market. Atlassian is seeking a Principal Strategist to develop the GTM strategy for Public Sector, using qualitative and quantitative methods to evaluate opportunities and design initiatives that fuel P&L growth and deliver scalable value. The role requires an independent, highly capable contributor who partners with Public Sector leadership, conducts internal and market due diligence, leads cross-functional stakeholder management, and influences across all levels from frontline to C-suite to secure resources and execute the strategy.

Atlassian offers flexible work locations (office, home, or a mix) and hires globally where they have a legal entity to support family, personal goals, and priorities. As a Principal Engineer with a Deep Engineer archetype in Kubernetes Platform, you’ll own technically complex, high-impact outcomes from problem definition through production, bringing deep expertise in agent infrastructure and distributed systems. You’ll define the technical strategy for secure, low-latency compute infrastructure for AI agents and untrusted workloads, and lead the architecture of isolation, scheduling, lifecycle management, networking, policy enforcement, observability, and control-plane capabilities. You’ll drive end-to-end outcomes for cross-team initiatives, advance portable cloud-native execution across GCP and AWS, and champion operational excellence and improved developer experience through self-service APIs, automation, and clear platform contracts. Success is measured by sustained outcomes such as safer workloads, faster iteration, reliable services, and broader impact across Atlassian, with mentorship and influence across geographies and product and engineering leaders.

At Atlassian, employees can work in-office, from home, or in a hybrid arrangement, and the company can hire people in any country where it has a legal entity. As a Principal Engineer with the Deep Engineer archetype in Kubernetes Platform, you own complex, high-impact outcomes from problem definition through production and bring deep expertise in agent infrastructure and distributed systems. You’ll shape the platform’s architecture and technical direction, making trade-offs across security, isolation, performance, scalability, portability, cost, and developer experience while staying close to the code and operational reality. You’ll influence across teams and geographies, partner with product and engineering leaders, raise engineers’ effectiveness through coaching and design leadership, and drive success measured by sustained outcomes such as safer workloads, faster iteration, reliable services, and broader Atlassian impact. Responsibilities include defining the technical strategy for secure, low-latency compute for AI agents and untrusted workloads; leading architecture for 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; improving developer experience; and mentoring engineers to grow an inclusive, high-performing team.

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

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The company is seeking a Lead Product Designer to join the AI Design team and work on AI experiences across Atlassian, including the flagship Rovo product. The team is primarily based in Australia and the west coast of North America. Responsibilities include crafting AI experiences for Rovo, collaborating across Jira, Confluence, and Loom on applied AI, modeling AI-enabled design practices, and partnering with leadership and cross-functional teams to unify AI capabilities across Atlassian. The ideal candidate has 7+ years of product design experience for complex or enterprise software, experience with applied AI in products like Search, AI Chat, and Agents, and strong systems-thinking skills to integrate multiple teams and improve processes to accelerate adoption of new capabilities.

Atlassian supports flexible work arrangements—office, remote, or hybrid—with hiring in any country that has a legal entity, and interviews and onboarding conducted virtually as part of being a distributed-first company. The Digital & Agentic Success team is building systems, intelligence, and operating models to scale customer success through data, automation, and AI-driven orchestration, turning complex customer signals into proactive journeys. They are seeking an Agentic Success Portfolio Lead—a data-forward builder and operator—to lead the systems, telemetry pipelines, and AI orchestration layer powering the Digital Success OS, bridging data engineering, data science, AI workflows, and customer journey orchestration to support at-scale digital, agentic, and human interventions. Responsibilities include building the Digital Success OS with data flows and journey orchestration, turning telemetry and signals into plays and handoffs, closing ownership gaps, and maintaining governance to protect delivery momentum. You will own data foundation and pipelines, analytics and modeling, AI-agent signal design, journey orchestration, digital-to-human handoffs, and measurement/experimentation to demonstrate impact on adoption, engagement, and agent effectiveness.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a mix of both to better support personal goals and priorities. The company hires people in any country where it has a legal entity. They are hiring a Senior Front End Software Engineer who will report to an Engineering Manager and collaborate with design and product management to influence the product direction. The role involves writing and shipping efficient, fast, scalable, and high-quality client code that delivers value to customers and supports the goal of becoming the best project management tool for business teams. Responsibilities include delivering projects autonomously from design to launch, collaborating across engineers, designers, and managers, partnering with design and product teams, and contributing to code reviews, documentation, and complex bug fixes.

Atlassian supports flexible work locations and hires in any country where it has a legal entity, with Jira at the core of its System of Work evolving into an intelligent partner for modern work. The Jira Design team is seeking a Principal Product Designer to lead visionary work across Jira, reporting to a Senior Design Manager and coordinating across teams in Australia and North America. The role involves conceptualizing and delivering industry-leading experiences, mentoring the design team, guiding strategy, and owning end-to-end product experiences from strategy to UI. Daily responsibilities include designing end-to-end AI-enabled Jira workflows, modernizing the design language across Jira, Rovo, and 1P/3P agentic workflows, and partnering to define a unified vision and measurable impact for customer value and business goals. Requirements include 9+ years of end-to-end product design, strong visual/UX craft and prototyping, experience shaping AI-native processes and agent integrations, leadership on ambiguous problems, storytelling, user research, and robust cross-functional leadership and stakeholder engagement.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. Jira sits at the heart of Atlassian’s System of Work, evolving from a work-management tool into an intelligent partner powered by Teamwork Graph, Rovo, and agent tooling. The Jira Design team is looking for a Lead Product Designer who will report to a Senior Design Manager and lead strategic work across Jira with a multinational team in Australia and North America. In this role you’ll design end-to-end experiences, modernize Jira’s design language, drive AI-enabled workflows, define success metrics, and collaborate with engineers, product managers, researchers, and other teams to deliver cohesive product experiences. Candidates should have 7+ years of product design experience, strong craft, AI-native design experience, end-to-end UX skills, customer research, storytelling, stakeholder management, and the ability to drive impact across multiple teams and programs.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. - They’re seeking a Lead Product Designer to join the Growth Platform team to evolve Atlassian’s website into cohesive, AI-first end-to-end customer journeys. - The role involves setting strategy and leading design across modernization, user engagement, journey-led architecture, AI-powered experiences, and cross-functional collaboration to boost engagement and long-term value. - Candidates should have 10+ years of product design experience, exceptional craft, AI-first prototyping, journey-driven systems thinking, strategic vision, data-informed decision-making, and collaborative leadership. - Experience with high-traffic marketing sites, growth/experimentation, and operating across organizational boundaries is preferred.

- Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. - The Senior ML System Engineer in the Rovo GenAI Platform team will build and maintain core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines to power GenAI products at Atlassian. - They will use software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. - The role provides the opportunity to lead other engineers on projects from technical design to launch. - They will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

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

At Atlassian, employees can work in an office, from home, or a combination, giving them more control over family, personal goals, and priorities. They hire people in any country where they have a legal entity, and interviews and onboarding are conducted virtually as part of being a distributed-first company. As a Senior ML System Engineer in the Rovo GenAI Platform team, you will build and maintain the core infrastructure that lets ML engineers and data scientists develop, train, evaluate, deploy, and operate ML models and pipelines to power Atlassian's GenAI products. You will use your software development expertise to solve difficult problems and tackle complex infrastructure and architecture challenges, with the opportunity to lead other engineers from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassians can choose where to work—office, home, or a mix—and interviews and onboarding are conducted virtually as part of a distributed-first approach, with hiring open in any country where Atlassian has a legal entity. The Senior ML System Engineer role sits in the Rovo GenAI Platform team and involves building and maintaining the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines and power Atlassian’s GenAI products. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. There is an opportunity to lead other engineers on involved projects from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity, to support employees' family and personal priorities. They’re looking for a Senior Machine Learning Engineer to join the Confluence Cloud AI team, which builds ML solutions to drive revenue, grow active users, and provide forecasting for top-line metrics. The role spans the full end-to-end ML lifecycle, from problem definition and experimentation to production deployment and continuous improvement, with an emphasis on scalable, production-quality forecasting models. Responsibilities include designing system and model architectures, developing rigorous evaluation methods, building scalable ML infrastructure, collaborating with Growth, GTM, Product, Finance, and Sales, mentoring junior engineers, and explaining ML concepts clearly to technical and non-technical audiences. Interviews and onboarding are virtual as part of Atlassian’s distributed-first approach, and the candidate should translate complex problems into practical, high-impact solutions that balance quality, speed, and measurable business outcomes.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Confluence Cloud AI team builds and deploys ML solutions that drive revenue, grow the active user base, and provide forecasting for top-line metrics, handling the full ML lifecycle from problem definition to deployment and ongoing improvement. The Senior ML Engineer will focus on advanced ML algorithms and forecasting models, collaborating with Growth, GTM, Product, Finance, Sales, and engineers to deliver high-impact results. Responsibilities include end-to-end lifecycle management, data preparation, modeling, experimentation, evaluation, deployment, iteration, and designing scalable, production-ready architectures and infrastructure. The role also emphasizes clear communication to technical and non-technical audiences, mentorship of junior engineers, and balancing high-quality output with rapid iteration and measurable business outcomes.

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

Atlassian offers flexible work locations and hires globally where they have a legal entity, aiming to unleash the potential of every team. Central to this mission is the Teamwork Graph (TWG), a real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities, with the belief that personal working environment context is the next AI-powered frontier. The company is seeking a Principal Machine Learning Engineer (P60) to lead and design knowledge graph projects that build this personal context layer and scale it through Rovo Chat and the Teamwork Graph CLI. You’ll build Personal Work Context Graphs, design inference pipelines, schemas, permissions, and evaluation frameworks; integrate this context into Rovo Chat to improve relevance, groundedness, and efficiency; and develop context-selection strategies with the Rovo Chat team. You’ll deliver context through low-latency, permission-safe APIs and CLI, enable MCP-compatible agents to query a user’s work environment in real time, and provide technical leadership across Knowledge AI, Teamwork Graph, and product teams while mentoring engineers with a focus on privacy-safe AI and data quality.

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

Atlassian supports flexible work locations and global hiring where they have a legal entity, enabling employees to balance family and personal goals. The company’s mission is to unleash the potential of every team, centered on the Teamwork Graph—a real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities across Atlassian and connected tools. They see the next frontier of AI-powered teamwork as personal working environment context—knowing who you collaborate with, what you’re actively working on, and which documents matter now—to deliver precise, relevant answers via Rovo Chat and the TWG CLI. They’re seeking a Principal Machine Learning Engineer (P60) to design and lead knowledge graph projects that build this personal context layer and scale it through Rovo Chat and the TWG CLI, including building personal work context graphs, inference pipelines, schemas, permissions, and evaluation frameworks. The role includes integrating context into Rovo Chat, delivering low-latency, permission-safe graph APIs and CLI experiences, enabling MCP-compatible agents to query a user’s work environment in real time, and providing technical leadership across Knowledge AI, Teamwork Graph, and product teams with a focus on privacy-safe AI and data quality.

At Atlassian, employees can work from an office, from home, or a combination, and the company hires in any country where it has a legal entity to support family, personal goals, and other priorities. The Rovo Experiences & Growth organization builds customer-facing experiences that help people find, understand, and act on their knowledge, delivering Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients across web, mobile, desktop, and browser extensions to integrate Rovo into daily work. The role leads technical strategy and architecture across Rovo Chat, Rovo Search, Growth, and Rovo Apps & Clients, ensuring scalable, reliable, secure, and cohesive experiences while shaping the convergence of Search and Chat with shared patterns for information retrieval, context, multi-step interactions, and action. It drives the development of reusable experience foundations that work across Atlassian products and third-party tools, and partners with product, design, data science, ML, and engineering leaders to define a roadmap of high-impact Rovo experiences that enable sustainable growth through rapid experimentation, contextual activation, personalization, measurement, and continuous improvement. The position also leads complex cross-organizational initiatives, standardizes how AI experiences are developed and deployed into scalable, composable, repeatable approaches, and mentors senior engineers to advance technical excellence, inclusive collaboration, and continuous learning.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity, guided by core principles that emphasize customer outcomes, long-term stakeholder relationships, and delivering beautiful, repeatable work. The Principal Value Advisor for DX is a highly influential individual contributor who shapes and delivers strategic value engagements, defines the value proposition of DX’s solutions, and drives customer-centric excellence across the organization. Responsibilities include building senior-level relationships, crafting tailored value propositions and business cases, translating financial data into opportunities, and delivering executive-grade storytelling and compelling proposals. The role also drives innovation, leads practice initiatives, fosters cross-functional collaboration, supports field enablement, mentors teammates, and requires 7+ years in value/strategy consulting with strong financial modeling and executive communication; travel is up to 15-20%. Nice-to-have elements include knowledge of Atlassian solutions, experience with relevant tools, regional language coverage across EMEA/APAC/AMER, and domain experience in financial services, software/tech, and public sector, with a focus on thought leadership and operationalizing the value management model to enable DX’s sales transformation.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. It is seeking a strategic, highly analytical Finance professional to own financial planning and management for AI infrastructure and token finance, responsible for forecasting, budgeting, and modeling for the Central AI team, in partnership with Engineering, Product, BizOps, and other Finance leadership. The role requires developing a deep understanding of AI economics—adoption, usage, token consumption, model mix, vendor pricing, and efficiency levers—and translating these into COGS, unit economics, and gross margin implications, along with scenario modeling and strategic ad hoc analyses. You will proactively drive process improvements, scale current financial models, data and tooling (in partnership with Cloud Finops) and related systems and processes; and you should be comfortable operating in ambiguity and delivering timely directional insights. The ideal candidate will have 10+ years of experience in complex financial modeling, driver-based forecasting, and long-range planning; experience with software and cloud infrastructure economics; knowledge of LLM/token economics or comparable consumption-based models; strong analytical judgment; excellent executive communication; a high say/do ratio; attention to detail; and the ability to thrive in a fast-paced environment where priorities can shift.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. They are seeking a strategic, highly analytical Finance professional to own financial planning and management for our rapidly evolving AI infrastructure and token finance, for the Central AI team, partnering with Engineering, Product, BizOps, and other Finance leadership. Responsibilities include forecasting, budgeting, financial modeling for AI infrastructure and token spend, long-range planning, scenario analyses, and ad hoc analyses that inform key business decisions, translating drivers like adoption, token consumption, model mix, and vendor pricing into COGS and unit economics. The role involves proactively driving process improvements, scaling current financial models, data and tooling with Cloud FinOps, and influencing investment and operating decisions through financial thought leadership. Requirements include 10+ years of complex financial modeling experience, software industry and cloud infrastructure cost driver experience, knowledge of LLM/token economics or similar consumption-based models, strong analytical judgment, comfort operating in ambiguity, and excellent executive communication and a high say/do ratio in a fast-paced environment.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity to support employees' family and personal goals. They are looking for product-minded Principal Engineers who are hands-on senior individual contributors bridging deep technical craft and strong product judgment. The role owns customer-facing features end-to-end across the full stack (React/TypeScript front ends, backend services, APIs), shaping what gets built and delivering measurable outcomes. Responsibilities include making architecture and technical decisions aligned with user and business outcomes, using telemetry and metrics to guide design, and building AI-enabled experiences with LLMs for millions of users. Additional duties involve setting technical direction, partnering with product managers, designers, and platform teams, raising the engineering bar through mentoring, and driving high-leverage problems from prototype to scalable production systems.

Atlassian offers flexible, distributed work options with virtual interviews, hires in any country with a legal entity, and guidance at go.atlassian.com/distributed. The internship runs 12 weeks between May/June 2027 and August/September 2027; it is not eligible for F-1 or J-1 visas and does not provide work sponsorship. The Office of the CMO (OCMO) internship will build the OCMO Insight Engine—an AI-powered tool that turns marketing performance data into concise, decision-ready insights for senior leaders, using Atlassian tools, Rovo, and responsible AI practices, and you will design and build agents to ingest data, detect significant changes, draft executive-summary bullets, flag low results, and produce a one-screen pre-read. You’ll establish a human-in-the-loop validation process, test outputs for accuracy and executive tone, document the workflow for ongoing use, and measure impact including time saved and adoption, while exploring related automation opportunities. Success means delivering a working multi-source insight workflow, executive bullets for material changes, automated low-performing-key-result flags with prompts, a self-rebuilding month-over-month trend view, a concise CMO pre-read, demonstrations in two consecutive monthly cycles, and a packaged QA process with quantified time savings.

Atlassian is a distributed-first company where employees can work from home or global offices, with virtual interviews and hiring limited to countries where it has a legal entity. This internship is paid, runs for 12 weeks between May/June 2027 and August/September 2027, and is not eligible for F-1 or J-1 students or work sponsorship. The Customer Engagement Marketing Intern will focus on persona-based marketing to C-suite and enterprise decision-makers globally, auditing executive-facing content and assets and packaging them into connected nurture streams across the customer journey. Deliverables include a persona-based content packaging framework, a pre/during/post-event nurture map, and a reusable C-suite messaging playbook, produced in collaboration with the Brand Marketing Intern to ensure consistency of Atlassian's AI and enterprise narrative. Minimum qualifications include the ability to distill complex information, storytelling influence, and curiosity for marketing, current enrollment in a Bachelor's program returning after the internship and graduating by June 2028, a full-time 40-hour/week commitment, and eligibility limited to entry-level candidates with less than a year of professional experience.

- Atlassian supports distributed work with virtual interviews and hires in any country where it has a legal entity; the paid internship runs 12 weeks from May/June 2027 to August/September 2027, and this role is not eligible for F-1/J-1 and does not offer visa sponsorship. - Atlassian's Intern program combines hands-on technical training, professional growth, dedicated mentorship, and strong social connections to set interns up for a successful and impactful career. - The Global Demand Campaigns internship focuses on helping teams worldwide—from startups to Fortune 500s—maximize Atlassian tools by collaborating with Demand Gen Strategists, Product Marketing, and Marketing Operations to create and launch campaigns, with exposure to AI marketing programs. - Intern responsibilities include piloting a closed-loop AI account engagement engine (The Brain) that ranks target accounts and next-best actions, analyzing enriched account intelligence, and building an AI nurture agent (The Hands) that executes outreach with a human-in-the-loop, plus Slack alerts to sales. - Key deliverables and measures of success include an enrichment layer, propensity/next-best-action model, a working AI nurture agent, an account brief generator, Slack delivery when accounts become sales-ready, a controlled pilot with a playbook, and a measurable MQL-to-SQL lift plus improved account progression and overall craft quality.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where they have a legal entity. The Product Counsel team partners with R&D and product leaders to enable rapid, responsible AI-enabled product innovation. They are seeking a creative, adaptable Director of Product Counsel to shape the team’s operating model and playbook for the AI era. Responsibilities include counseling product and engineering on AI, data governance, IP, and platform architectures; creating repeatable frameworks and guardrails; acting as the primary legal partner for product initiatives; and helping mature the function with new tools and async collaboration. Requirements include 8+ years of software product counseling (ideally B2B SaaS), a JD with a license to practice, experience in both law firm and in-house settings, strong generalist skills and comfort with ambiguity, plus a bonus for familiarity with Atlassian tools.

Atlassian offers flexible work setups and hires globally wherever they have a legal entity. The Product Counsel team acts as strategic partners embedded with R&D and product leaders to enable rapid, responsible product innovation in AI and related technologies. The Director of Product Counsel will advise on emerging AI, data governance, IP, and platform architectures, develop scalable playbooks and guardrails, and serve as the primary legal partner for product initiatives. The role requires a versatile generalist who can navigate unfamiliar products and tech stacks, synthesize input from multiple legal disciplines, and thrive in a fast-paced, async environment. Applicants should have 8+ years of software/product counseling experience, a JD with bar license, a background in both law firm and in-house settings, strong writing skills, and familiarity with Atlassian tools is a plus.

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

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees control over personal priorities. The Product Counsel team is at the heart of Atlassian's mission to redefine teamwork, acting as strategic partners embedded with R&D and product leaders to enable rapid, responsible product innovation in the AI era. As the Director of Product Counsel, you will counsel product and engineering on emerging AI, data governance, IP, and platform-architecture issues; pivot across products and tech stacks; design scalable AI playbooks, launch checklists, and guardrails; serve as the primary legal partner for product initiatives; and help mature the function with new processes and async tooling. The role requires 8+ years of experience counseling software products in B2B Enterprise SaaS, a JD licensed to practice, experience in both law firms and in-house teams, and a strong generalist skillset capable of understanding unfamiliar product surfaces, architectures, and business models, with comfort navigating ambiguity and novel AI/regulatory issues. You should be a simplifier with strong writing, adept at async collaboration and using modern technology, excited by fast-paced environments, and there are bonus points for familiarity with Atlassian tools.

Atlassian offers flexible work options, including in-office, remote, or hybrid arrangements, and can hire from any country where it has a legal entity. Atlassian is building the future of teamwork and seeks a Director of Product Counsel who acts as a strategic partner embedded with R&D and product leaders to enable rapid, responsible product innovation in the AI era. The role includes counseling product and engineering teams on emerging AI/ML legal and regulatory issues, data governance, IP, and platform architectures; defining a scalable AI-era playbook with repeatable frameworks and guardrails; acting as the primary legal partner and front door for product initiatives in collaboration with privacy, IP, regulatory, and commercial SMEs. It also involves shaping the Product Counsel function, maturing processes, experimenting with new ways of working, and leveraging modern async tools to scale impact. Required background includes 8+ years of legal experience counseling software products (preferably B2B Enterprise SaaS), a JD with a license, experience in both law firms and in-house teams, strong generalist product counseling, comfort with ambiguity, ability to understand unfamiliar architectures, excellent writing for async collaboration, and bonus points for familiarity with Atlassian tools.

The role is located in New York City, and DX—headquartered in Salt Lake City—helps engineering leaders build high-performing teams by collecting millions of data points daily to deliver productivity insights for companies like Pinterest, GitHub, BNY, and Xero. The company has grown profitably, tripling annual recurring revenue in recent years, and recently closed an acquisition by Atlassian to expand resources, accelerate growth and R&D, and increase impact for customers. At DX, the value system centers on individual mastery and becoming the best at your craft, with performance judged by excellence rather than controllable outcomes. You’ll coach and develop a team of Strategic Account Executives to hit targets, adopt a player-coach approach in demos and negotiations, institutionalize the sales process with rigorous pipeline discipline and CRM hygiene, analyze performance data to coach underperforming reps, drive GTM improvements from frontline feedback, foster continuous learning, and recruit top talent. The ideal candidate thrives as a team-first, systems-thinking leader who leads by example, delivers radical candor, thrives in ambiguity, uses data to guide conversations while prioritizing the human element, and possesses high emotional intelligence to manage complex stakeholders.

Atlassian offers flexible work arrangements and hires globally wherever there is a legal entity. As Principal Machine Learning Engineer in Confluence AI, you’ll shape the next generation of AI-powered experiences and turn rapid ML advances into scalable product features. You will own the full stack of AI product development—from product design and evaluation strategy to production engineering, experimentation, and long-term technical leadership—collaborating with product, platform, and partner teams. Responsibilities include setting technical direction for ML initiatives across Confluence (content creation, editing, summarization, recommendations, multimodal interaction), building production-grade ML systems and evaluation loops, and delivering customer-facing AI capabilities with measurable outcomes. You will identify failure modes, make high-leverage architectural decisions balancing quality, latency, cost, safety, and maintainability, mentor other engineers, and help ship deeper AI experiences across editor surfaces, content types, and collaborative workflows.

Atlassian supports flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity to help employees balance personal priorities. The Principal Machine Learning Engineer in the Confluence AI organization will help shape the next generation of AI-powered experiences across Confluence and is a hands-on role that turns fast-moving ML advances into scalable product experiences. The role spans the full AI product development stack—model-informed design and evaluation, production engineering, experimentation, and long-term technical leadership—and is well suited for someone with both ML depth and product/system thinking. Responsibilities include setting technical direction for ML initiatives, designing and evolving production-grade ML systems and evaluation loops, leading customer-facing AI capabilities, and driving advances in areas such as model behavior, retrieval, ranking, prompts/workflow design, and reliability while coordinating with cross-functional teams. It also involves architectural decision-making across layers, hands-on prototyping and rollout guidance, mentoring engineers, raising engineering standards, and building foundations for deeper, more integrated AI experiences across editor surfaces, content types, and collaborative workflows.

Atlassian supports flexible work locations—office, home, or hybrid—and hires in any country with a legal entity; this role is a Principal Machine Learning Engineer in the Confluence AI organization to shape the next generation of AI-powered experiences across Confluence. It’s a hands-on principal-level role for an engineer who can turn fast-moving advances in machine learning into high-quality product experiences at scale, collaborating across product, platform, and partner teams to tackle ambiguous problems and deliver AI capabilities that enhance how users create, edit, discover, and interact with content. The role spans the full AI product development stack, from model-informed design and evaluation strategy to production engineering, experimentation, and long-term technical leadership, and is well suited for someone with strong ML depth combined with product instinct and systems thinking. Key responsibilities include setting technical direction for ML/AI initiatives powering Confluence experiences—covering content creation, editing, summarization, recommendations, and multimodal interaction—plus designing, building, and evolving production-grade ML systems, evaluation workflows, and experimentation loops to reliably deliver AI features at scale. It also involves leading the development of customer-facing AI capabilities by translating product opportunities into practical technical strategies and measurable outcomes, partnering with engineering, product, design, analytics, and platform teams, identifying failure modes, making high-leverage architectural decisions around latency, cost, safety, and maintainability, mentoring other engineers, and laying foundations for deeper, more integrated AI experiences across editor surfaces and collaborative workflows.

Atlassian offers flexibility in work location—office, remote, or a mix—and hires in any country where it has a legal entity. The Principal Machine Learning Engineer in the Confluence AI organization will be a hands-on role that shapes AI-powered experiences across Confluence and works with product, platform, and partner teams to turn advances in ML into scalable, customer-facing capabilities. The role spans the full AI product development lifecycle, from model-informed product design and evaluation to production engineering, experimentation, and long-term technical leadership. Responsibilities include setting technical direction for ML and AI initiatives, building production-grade ML systems, improving model behavior and retrieval, and driving cross-functional initiatives with a focus on reliability, safety, latency, and user experience. The position also involves mentoring engineers, raising engineering standards, and laying foundations to enable deeper, more integrated AI experiences across editor surfaces, content types, and collaborative workflows.

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

Atlassian offers flexible work options, letting people work in the office, from home, or a mix, and hires in any country where it has a legal entity. In Confluence AI, you will be a Principal Machine Learning Engineer who helps shape the next generation of AI-powered experiences and turn fast-moving ML advances into high-quality product experiences at scale. The role spans the full AI product development stack, from model-informed design and evaluation strategy to production engineering, experimentation, and long-term technical leadership, requiring both ML depth and product instincts. Responsibilities include setting technical direction for ML/AI across Confluence content creation, editing, summarization, recommendations, and multimodal interactions; building production-grade ML systems and evaluation loops; and driving advances in model behavior, retrieval, ranking, prompts/workflow design, and reliability, while collaborating with cross-functional teams. The role also involves mentoring engineers, raising engineering standards, making high-leverage architectural decisions balancing quality, latency, cost, safety, and user experience, contributing hands-on when needed, and helping lay foundations for deeper AI experiences across editor surfaces and collaborative workflows.

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

- Atlassian offers flexible work options, allowing employees to work in the office, from home, or a hybrid setup to better balance family, goals, and priorities. - They hire people in any country where they have a legal entity. - The company is seeking a senior technical leader to shape systems and technical direction across multiple quarters while staying close to architecture, experimentation, quality, and production systems. - The role spans areas such as model post-training, personalization/recommendation, proactive and other agentic experiences. - Candidates will tackle ambiguous problems end-to-end, defining the approach, aligning partners, driving execution, and delivering solutions safely into production.

Atlassians can choose where they work—office, from home, or a combination. This flexibility helps them support family, personal goals, and other priorities. Atlassian hires people in any country where they have a legal entity. They’re seeking a senior technical leader who can shape systems and technical direction across multiple quarters while staying close to architecture, experimentation, quality, and production systems. The role involves work across areas such as model post-training, personalization/recommendation, proactive and other agentic experiences, and requires tackling ambiguous problems end to end—defining the approach, aligning partners, driving execution, and delivering solutions safely into production.

DX is a fast-growing SaaS company based in Salt Lake City that helps engineering leaders build high-performing, productive teams. It collects millions of data points daily to power insights into developer productivity and experience for customers like Pinterest, GitHub, BNY, and Xero. The company has scaled profitably, tripling annual recurring revenue in recent years, and recently closed an acquisition by Atlassian. By joining Atlassian, DX aims to expand resources, accelerate growth and R&D, and deliver greater impact to customers. DX emphasizes individual mastery, and its sales roles involve owning the full cycle from prospecting to close, running proofs of concepts and demos, building a disciplined pipeline, guiding buyers through complex evaluations, and feeding market feedback into product and GTM while staying current on industry trends.

Atlassian offers flexible work arrangements and can hire people in any country where it has a legal entity. The company is building narrative authority in AI for teams, and this role centers on turning real product and AI insight into a distinctive executive social presence. Reporting to the Editorial & Executive lead, the role collaborates with social media, product marketing, communications, and senior executives to develop credible, timely social content. It sits at the intersection of AI fluency, executive voice, and social platform craft, with the aim of creating a sustained social voice that resonates with engineers, founders, and enterprise buyers. Key duties include shaping executive social voice, tracking AI zeitgeist, translating insights into content, establishing cadence, advising on participation, partnering cross-functionally, and measuring performance to sharpen the approach over time.

Atlassian supports flexible work locations (office, home, or hybrid) and hires globally wherever it has a legal entity. The Advisory Services Public Sector team is a globally distributed group of Atlassian experts focused on customer success for large enterprises, providing trusted advisors to maximize value from Atlassian investments. The Solution Consultant role is an individual contributor who delivers technical guidance, aligns product capabilities with business outcomes, helps expand services and products within client organizations, and partners with non-customer-facing teams to address customer needs, with travel up to about 30%. Required background includes 4-6 years in SaaS, 2+ years in customer-facing roles with stakeholders from technical administrators to executives, and demonstrated expertise in At l as sian Data Center Platform (e.g., Jira, Jira Service Management, Confluence, Bitbucket, Crowd) and Teamwork Foundations, plus experience defining goals and measurable metrics. Fluency in English is required, with a second language a plus, and there is a preference for candidates who can align with US time zones, coach best practices, work on cross-team projects, and have experience with large customers in a consulting or technical expert capacity.

At Atlassian, work arrangements are flexible (office, remote, or hybrid), and hires can be made in any country with a legal entity to support employees’ family, personal goals, and priorities. The Search Platform team powers Rovo Search and knowledge discovery across Atlassian and external apps, aiming to provide secure, fast, globally scalable, and cost-efficient enterprise search. The technical lead for Search Serving will set long-term direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems addressing latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation; setting the architecture roadmap for online retrieval, index serving, query processing, and ML inference; and turning advances in IR and ML into production through rigorous evaluation, experimentation, rollout, and incident response. Additional focus covers advancing production inference for embedding, retrieval, and ranking models with techniques like batching, quantization, distillation, and hardware-aware optimization, while leading multi-team initiatives, mentoring engineers, and raising team and platform maturity for best-in-class agentic development.

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

Atlassian 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.

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 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 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 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.