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Atlassian offers flexible work locations and hires globally where they have a legal entity. They are building an observability layer for AI-assisted software development to measure how much code is written by AI coding agents and attribute each line to the producing work. You will own major parts of a cross-platform endpoint agent end-to-end: architecture, implementation, and real-world deployment onto developer machines. Your responsibilities include building core systems to detect and attribute AI-generated code at the line level across real Git workflows, designing pipelines to capture, classify, store, and ship developer plus agent activity, and integrating with coding agents via editor/CLI hooks while working with Git internals to collect data nondisruptively. They’re seeking strong systems engineers with backend/OS/instrumentation experience, high-agency individuals with product intuition, and a passion for developer tools and data-driven understanding of how engineers work with AI agents; bonuses include Git internals, dev infra, endpoint or monitoring agents, SQLite or embedded storage, and cross-platform native development.

- Atlassian offers flexible work options (office, remote, or mix) with a distributed-first approach, hires globally where there is a legal entity, and conducts virtual interviews and onboarding. - DX is the developer intelligence platform that blends self-reported developer insights with data from the systems where software work happens to turn signals into actionable insights for engineering executives, productivity leaders, and platform teams. - Product management at DX emphasizes being close to customers, working asynchronously with lightweight specs, and prioritizing pragmatic processes to accelerate learning and outcomes. - The Principal Product Manager will lead DX’s System Insights portfolio (out-of-the-box reports, Dashboards, Data Studio, and Pulse), defining how signals become trusted insights, setting strategy, connecting work across surfaces, and advancing AI features like DX AI and a copilot for querying data. - The role is US remote-friendly (Utah preferred) and includes vision/roadmap leadership, improving reporting and analytics experiences, balancing ready-made insights with flexible tools, boosting AI adoption, and partnering with Data Cloud, Self-Reported Insights, Engineering, Design, and GTM for pilots and measurement.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever there’s a legal entity. The Agentic AI Integrations team leads AI integration products such as the Rovo MCP Server and Agent-to-Agent integrations, leveraging capabilities like Claude Skills and ChatGPT/Claude Apps to advance Atlassian's AI ecosystem. The role emphasizes exploring bleeding-edge AI technologies, moving from prototyping to scalable enterprise-grade products used by thousands of developers and enterprises, with a systems-minded focus on security, scalability, reliability, and maintainability. Responsibilities include building and mentoring a software engineering team, delivering foundational multi-agent system components and MCP/A2A protocols, collaborating cross-functionally with Product, Platform, and Data Science, ensuring high-reliability operations with cost and latency optimization, and representing Atlassian in AI interoperability groups. Requirements include 8–10+ years in software development with at least 4+ years in people management, hands-on AI/ML platform engineering or agent frameworks experience (e.g., LangChain, Semantic Kernel), proficiency in Python, TypeScript, or Go, and experience with high-scale distributed systems, vector databases, and observability pipelines.

As a Principal ML Engineer, you will drive the development and implementation of cutting-edge ML algorithms and AI features in Atlassian products, collaborating with product, engineering, and analytics teams. Your daily tasks span designing system and model architectures, conducting rigorous experimentation and evaluations, and mentoring emerging ML engineers while guiding long-term technical direction. You will design, develop, and deploy production-grade ML models (ranking, retrieval, LLM-based systems) to optimize user experience and achieve business objectives, with data-backed decisions and scalable feature engineering for offline and online inference. You will oversee end-to-end deployment to production with continuous evaluation, monitoring, and improvement, and collaborate with cross-functional teams to integrate AI capabilities and communicate complex concepts to stakeholders. You are expected to mentor and scale programs across the department, solve cross-team gaps, and make quick, informed decisions that balance speed, risk, and impact while aligning contributions with larger products and platforms.

SMB Solution Sales Executives help SMB customers succeed in their Atlassian cloud journey by showing how Jira Service Management can meet their goals. They operate at scale as champions for customers, providing feedback to product and engineering and coordinating closely with Product specialists and Marketing to optimize the customer experience. They are customer-focused and creative, thinking at scale, understanding the buyer journey, and identifying ways to optimize the Atlassian Sales Model for SMBs. Their activities include following up on qualified inbound leads for JSM, driving outbound prospecting to generate net-new and expansion pipelines, and qualifying customer needs in a consultative sales motion while upselling within SMB. They assist customers in building compelling business cases to demonstrate ROI, develop and execute territory/account plans to meet or exceed quotas, and stay informed on industry trends, market dynamics, and competitor activities in the service management space.

SMB Solution Sales Executives help customers succeed in their Atlassian cloud journey, focusing on Jira Service Management and acting as champions who provide feedback to product and engineering in coordination with Product specialists and Marketing. They operate at scale, think strategically, organize resources to meet SMB needs, and understand the customer buyer journey to identify optimization opportunities for the Atlassian Sales Model. Their duties include following up on qualified inbound leads (MQLs, trial signups, demo requests) for JSM and driving outbound prospecting to generate net new and expansion pipeline. They demonstrate the value of Jira Service Management, identify opportunities to land new customers and upsell existing ones to drive revenue and maximize customer value in SMB, and qualify customer needs and pain points for service management in a consultative sales motion. They assist customers in building a compelling business case for Atlassian products, develop and execute territory/account plans to meet or exceed quota, and stay updated on industry trends, market dynamics, and competitor activity in the service management space.

Atlassian enables Atlassians to work anywhere—office, home, or hybrid—and hires globally with virtual interviews and onboarding as part of its distributed-first approach. The Agentic AI Integrations team is the backbone for AI capabilities, responsible for the Rovo MCP Server and agent-to-agent integrations, leveraging cutting-edge AI like Claude Skills and ChatGPT Apps to extend the Atlassian ecosystem. The team aims to work on bleeding-edge AI technologies, moving from prototyping to building scalable, enterprise-grade AI products used by thousands of developers and enterprise users. They focus on ML performance and systems, designing MCP servers, tools, and agent APIs with reliable contracts; delivering accessible React/TypeScript experiences; integrating GraphQL/REST APIs, streaming data, and real-time workflows; and optimizing token/context efficiency, observability, semantic retrieval, and end-to-end performance. They define AI/ML quality programs, integrate automated evaluations into CI/CD, and ensure enterprise security with OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and safe flows for high-impact actions.

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 priorities. In this role, you will be an expert product seller in ITSM and ESM, guiding sales strategies and Jira Service Management’s positioning within the Atlassian platform. You will own end-to-end JSM sales motions, leading the full sales cycle from prospecting to close, and collaborate to develop territory and account strategies that drive net-new revenue and expansion in Enterprise accounts. Your responsibilities include customer engagement and value selling with ROI-driven hypotheses tied to measurable outcomes, leading competitive campaigns and cloud migrations, and partnering with Solution Engineers, Customer Success, Marketing, and the Partner Ecosystem. You will forecast and manage pipeline using MEDDPICC (or a similar value-based methodology) and act as the voice of the customer to influence Atlassian’s JSM product roadmap and go-to-market strategy.

Atlassian offers flexible work options (office, remote, or hybrid) with a preference for the San Francisco Bay Area or US West Coast, but they hire in any country where they have a legal entity. The Lead Design Technologist leads projects across multiple departments, delivering high-quality, scalable design technology solutions that empower product builders and drive innovation in prototyping, motion, and AI-led design workflows. They join the Design Technology team within Core Design, reporting to the Senior Manager, and work with a multidisciplinary group building foundational tools, components, and AI-native workflows that power the user experience across all Atlassian apps. Responsibilities include delivering solutions across domains, championing rapid prototyping, user testing, cross-functional collaboration, mentoring others, and enhancing design workflows through custom tooling, automation, and AI/LLMs, with advanced skills in JS frameworks, prototyping, and motion design. They will lead co-creation of sense-making artifacts, drive adoption of design technology best practices, and contribute to continuous improvement and enterprise-scale, inclusive design solutions in collaboration with product, engineering, and accessibility experts.

Atlassian offers flexible work options—office, remote, or hybrid—and can hire people in any country where it has a legal entity, giving employees more control over family, personal goals, and priorities. The Atlassian Onboarding Team serves as trusted advisors to the company’s largest and most strategic customers, helping them maximize value in the first 60-90 days, and Atlassian is seeking a Senior Manager to lead the global Onboarding Success Managers for the Teamwork Collection. In this role, you will lead a team to drive early customer outcomes through targeted engagements such as change management planning, success planning, and technical guidance, while scaling onboarding programs and refining processes to deliver exceptional experiences. The onboarding managers support enterprise customers in the cloud, building executive relationships and guiding journeys through onboarding, adoption, and value realization, using predictive signals and standardized frameworks to identify milestones, opportunities, and risks. Responsibilities also include delivering value at scale through low-touch outreach and Success-AI, maintaining product and industry expertise, mitigating churn risk in collaboration with internal teams, championing customer advocacy, and sustaining operational excellence via Gainsight and engagement frameworks.

Atlassian offers flexible work options (office, home, or a mix) and hires globally in countries where they have a legal entity. The Principal, Customer Success Portfolio Design & Transformation will design and build the enterprise Customer Success portfolio, creating frameworks for engaging customer segments and driving adoption across success planning, onboarding, value realization, and product adoption. They will design and roll out a go-to-market approach aligned with customer milestones and business goals, ensuring measurable outcomes and working cross-functionally to deliver consistent, high-impact experiences at every stage of the enterprise journey. The role sits at the intersection of strategy and structural design, partnering with the Global Head of CSMs and other leaders to transform the CSM portfolio, shift to solution selling, and optimize workflows using data-backed practices, including incorporating CMS activities into LOS design for digital and self-service. They will drive the CSM GTM motion, identify adoption levers to increase product adoption and retention, apply enterprise adoption theories, create a scalable launch framework with Product and Solution Factory teams, define moments that matter and a value framework tied to outcomes, and build a scalable enablement program with assets and partnerships with Customer Education and self-service teams.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The role of Solution Sales Executive for ITSM and ESM involves serving as a subject matter expert, driving new sales motions and co-selling with a globally distributed sales team. The position aims to advance Atlassian's solution sales goals by leveraging expert knowledge of ITSM and Jira Service Management to inform sales strategies and positioning. It includes developing and executing sales strategies to drive revenue growth and engaging with customers to understand their business needs, delivering value-based solutions. It requires cross-functional collaboration with Account Executives, Marketing, Account Management, Product, and Partner Management to align on strategies and explore co-selling opportunities.

Atlassian offers flexible work options—office, home, or a hybrid—and hires in any country where it has a legal entity, helping staff support family, personal goals, and priorities. Dev Infra builds the tools, platforms, and infrastructure every engineer uses to ship software, and the AI Foundations team is responsible for making AI work well across engineering—how we measure it, the context we feed it, and the compute it runs on. In this Senior Principal Engineer role, you set the technical vision for enabling AI across the software development lifecycle, stay hands-on by prototyping the hardest parts, and lead by doing to set the engineering bar others will meet. You’ll build foundational systems that measure AI effectiveness, supply the right context, and run AI reliably and affordably at scale; give engineers and leaders real signal instead of hype, partner with engineering and product teams to shape internal tools and the AI capabilities we ship to customers, and decide when to buy a proven solution, when to build with product teams, or when something requires a purpose-built approach. You’ll mentor senior engineers, align principals across the organization, raise the team’s ceiling, and because Dev Infra builds the same class of developer tools Atlassian sells, your work shapes not only how Atlassian ships software but also what it ships to millions of developers.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires people in any country where the company has a legal entity. - Atlassian is a publicly traded tech company with a growing tax function and is seeking a Tax Senior to join the US Income Tax team, reporting to the US Tax Manager. - The role involves helping prepare the quarterly and annual US federal and state income tax provision and audited financial statements for a publicly traded corporation. - Additional responsibilities include gathering information and preparing workpapers for US income tax returns prepared by external advisors, leveraging technology (including AI) to improve processes, and conducting tax research with recommendations. - The position also requires communicating with federal or state tax authorities to resolve tax matters.