The Ampin App
deep insights into the Atlassian community

Atlassian supports flexible work locations and hires in any country where it has a legal entity. They are hiring a Technical Head of Engineering to lead Atlassian’s Agent Platform, blending people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences, and the role can be either an individual contributor or a people manager. The Agent Platform Team builds foundational capabilities to make AI agents useful, reliable, secure, and scalable across Atlassian, enabling agentic experiences that reason over work context and orchestrate across tools in products like Rovo, Teamwork Graph, and Jira. The role exists to translate broad AI strategy into practical platform capabilities, providing clear direction, building talent, and establishing an execution rhythm across fast-moving AI platform work, with depth in ML, architecture, evaluation, quality, reliability, and production decisions. Key responsibilities include setting technical direction with stakeholders, leading and developing a team (including hiring and performance management), writing production code, guiding decisions on ML systems, evaluation, observability, security, and operational readiness, establishing an operating cadence, and partnering with other leaders to foster an inclusive, high-accountability culture.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever it has a legal entity. - The US-based Outbound Product Manager sits at the intersection of product strategy and field as a mini GM, is not a quota-carrying seller, and will collaborate across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and executive leadership to turn the High Touch GTM plays into a repeatable product and commercial advantage. - Key responsibilities include owning the operating system for priority plays, turning field signals into product strategy, leading cross-functional execution without formal authority, and building durable playbooks, templates, and mechanisms that scale beyond one person or account. - Requirements include significant experience in product management or related roles in B2B enterprise software, the ability to translate ambiguous problems into executable plans, a strong understanding of enterprise software buying and lifecycle, familiarity with security/compliance/regulatory topics, and willingness to travel. - The role seeks attributes such as strategic but operational thinking, evidence-led decision making, commercial literacy, technical credibility, customer grounding, low ego with high ownership, clear communication under pressure, and system-building capability.

1. Atlassian allows employees to work from the office, from home, or in a hybrid arrangement to give them flexibility for family and personal goals. 2. The company can hire people in any country where it has a legal entity. 3. The Global Sales Center of Excellence Lead, Teamwork Collection (Mid-Market) will own global sales performance, strategic execution, and revenue growth for Atlassian’s largest customer and seller segment. 4. Reporting to the Global Head of TWC Sales, the role sits at the intersection of go-to-market strategy, cross-functional orchestration, and revenue delivery, responsible for designing the global operating plan, building repeatable sales plays, and partnering with Sales Leadership, SDR, Channel, Demand Gen, Product, and Marketing to maximize pipeline and accelerate deal velocity. 5. The ideal candidate is a senior, metrics-driven go-to-market leader who can influence across matrixed teams, translate complex platform and AI value propositions into scalable sales execution, scale field readiness and onboarding, and bridge strategy into measurable field success for enterprise SaaS with rigorous inspection rhythms.

Atlassian supports flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity. They are hiring a Technical Head of Engineering to lead the Agent Platform, blending hands-on technical leadership in applied ML and agentic systems with people management. The Agent Platform Team builds foundational, secure, scalable capabilities for AI agents that can reason over work context and orchestrate tools across Atlassian products. The role is intended to translate broad AI strategy into practical platform capabilities, requiring ML and systems depth to guide architecture, evaluation, reliability, and production code. Key responsibilities include setting direction, growing and coaching the team, writing production code, creating a strong operating cadence, and aligning roadmaps with Rovo, product, and platform stakeholders while maintaining trust, security, privacy, and cost efficiency.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The platform connects work, teams, and data to power intelligent tools, automation, and AI, which becomes increasingly critical as enterprise systems go AI-driven. They’re seeking a Senior Product Marketing Manager to lead adoption of core platform data and context capabilities (Teamwork Graph). Responsibilities include defining and executing the adoption strategy, building narratives for both technical and business audiences, driving full-funnel engagement, and enabling cross-functional teams. The role also involves measuring impact, iterating adoption programs, and evangelizing the platform externally through forums, webinars, and customer interactions.

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 their distributed-first approach. The Agentic AI Integrations team leads AI integration efforts, including the Rovo MCP Server and agent-to-agent integrations, leveraging cutting-edge AI capabilities like Claude Skills and ChatGPT/Claude Apps. They aim to move quickly from prototyping to scalable enterprise-grade AI products used by thousands of developers and enterprise users, with a strong focus on ML performance, quality, and systems. Responsibilities include designing, building, and evolving MCP servers, tools, and agent-facing APIs with clear contracts; developing accessible React/TypeScript frontends; building reusable components and design-system patterns; and integrating GraphQL/REST APIs, SDKs, streaming, and real-time data while optimizing token/context efficiency and end-to-end reliability through observability and diagnostics. They also define AI/ML quality programs with evaluations and safety metrics, integrate automated evaluations into CI/CD, and implement enterprise security measures such as OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and confirmation flows for high-impact actions.

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity. The Networking team builds and operates shared services that route and protect traffic across Atlassian’s cloud, including API gateways, rate limiting, service connectivity, and real-time messaging to deliver reliable experiences at scale. As a P50 Senior Software Engineer, you’ll design, build, and own distributed platform services from ambiguous problem to design, implementation, rollout, and production ownership, collaborating with engineers, architects, and internal customers. You’ll build and evolve high-throughput, low-latency backend services across AWS, GCP, and Kubernetes, implement traffic-control capabilities, own end-to-end projects, improve reliability and scalability, participate in on-call, and mentor others. Qualifications include senior backend experience with Java/Kotlin/Go/Python, strong networking/distributed systems knowledge, observability and testing practices, and cloud/container skills, with 6–12 month goals such as owning a platform capability and delivering measurable reliability and performance improvements.

Atlassians can choose where they work—office, from home, or a combination—giving them more control to support family, personal goals, and other priorities. Atlassian hires people in any country where the company has a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you will contribute to Rovo Chat by bringing bleeding-edge innovations and building agent harnesses that significantly improve quality, reliability, and latency. You will have the opportunity to lead other engineers on projects from technical design to launch and collaborate with other teams and internal customers to set expectations, gather input, and communicate results; your role is pivotal beyond these tasks to ensure AI's transformative potential is realized across Atlassian's offerings. The Rovo & AI Engineering org aims to make Rovo the fastest, most trusted way for any team to find, understand, and act on their knowledge, with rapid progress and a 10x growth in product surface over the last year.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country with a legal entity, and they’re seeking a Lead Product Designer to join the Rovo & AI team. - The role will lead the strategic vision and conceptual design for AI experiences across Atlassian apps, including Rovo, their flagship AI experience, and will collaborate with teams across Jira, Confluence, Bitbucket, and more; the team is primarily based in Australia and the west coast of North America. - Responsibilities include applying systems thinking, strong visual and interaction design to communicate work, driving design reviews, coaching other designers, and partnering with leadership and stakeholders to create a unified design view of AI capabilities across Atlassian. - You will lead design projects from creation to execution, tie outcomes to customer value, identify success metrics, and identify opportunities to enhance products and accelerate AI and search experiences. - Qualifications include 10+ years of enterprise software product design, experience delivering strategic design programs across multiple delivery teams, end-to-end UX design, storytelling, balancing customer and business needs, facilitation and cross-functional collaboration, design systems, and methods to measure success and improve processes.

- Atlassian lets you work from an office, from home, or a hybrid, and hires in any country where it has a legal entity. - As a Principal ML Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat by delivering cutting-edge innovations and building agent harnesses that substantially improve quality, reliability, and latency. - You’ll lead other engineers from technical design to launch, collaborate with other teams and internal customers to set expectations and communicate results, and ensure AI’s transformative potential across Atlassian’s offerings. - Your responsibilities include tackling open-ended technical problems, setting the technical vision, building production ML and evaluation systems, advancing agent capabilities, and closing the loop between evaluation and product impact to measure customer outcomes. - The ideal candidate has a track record shipping large-scale ML/AI systems, strong experience with LLM-powered products and agentic systems, hands-on production engineering skills, and principal-level leadership including mentorship and cross-team influence.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever there is a legal entity, giving employees more control over family and personal goals. The role centers on System Integration & API Engineering: designing, building, and maintaining robust integrations, middleware, and webhooks that connect third-party SaaS tools with internal systems. It also covers Tool Optimization & Rationalization, partnering with SAM/HAM, DevInfra, and procurement to evaluate software requests, track usage, and streamline the enterprise SaaS footprint. Automation & Workflow Engineering involves creating data pipelines and scripts to automate provisioning, budget allocations, and cross-platform data syncs, while serving as the primary technical contact for complex app integrations and troubleshooting with vendors and internal IT. Additional duties include Vendor & SLA oversight, budgeting & licensing management, and cross-functional alignment to translate business needs into actionable technical requirements.

At Atlassian, the company is seeking a Principal Technical Program Manager to lead technical strategy and cross-functional execution across agent integration, quality, and API governance platform layers. This role will drive platform programs that help agents connect reliably to first- and third-party tools, establish practical measures to improve agent quality, and govern agent/automation traffic through rate limits, quotas, API standards, and runtime safeguards. Because the scope will evolve as the platform and industry mature, success requires strong technical judgment, structured execution, and comfort operating in ambiguity. Key responsibilities include building an agent integrations and tool ecosystem with standardized interfaces and patterns, collaborating on security/identity, and improving onboarding and lifecycle management, plus defining agent quality and observability with benchmarks, test sets, and telemetry. Additional focus areas are API monetization and governance with rate limiting, concurrency controls, safeguards for runaway loops and failures, versioning/deprecation practices, and translating ambiguity into clear roadmaps and ownership through cross-functional collaboration.

Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity, seeking product-minded Principal Engineers. This is a hands-on individual-contributor role at the seam between deep technical craft and sharp product judgment, owning customer-facing products end-to-end across the full stack and shaping what gets built, including AI-native experiences used by teams worldwide. You will own end-to-end customer experiences, take ambiguous problems to shipped solutions, lead technical strategy for large-scale features and systems, and partner with product, design, data, and engineering to influence product direction while evaluating trade-offs for correctness, robustness, performance, and customer impact. You will contribute to system design, code reviews, documentation, and best practices with security, performance, and reliability in mind, and mentor and elevate the engineering organization by sharing your expertise. The role requires 10+ years of full-stack experience in product and platform engineering, a track record of architecting and operating large-scale distributed systems and user-facing applications, strong operational excellence with automated testing, telemetry, and reliability, a strong product and UX mindset, exceptional communication and collaboration, and a passion for innovation, continuous improvement, mentorship, and fostering an inclusive, high-performing environment.

Atlassian supports flexible work locations and hires in any country where they have a legal entity, aiming to build a 100-year company with empowered engineering teams. The engineering focus is on advancing AI and helping customers transition to the cloud, while delivering value through Jira, Confluence, Trello, and Bitbucket. The role involves tackling large, complex problems, providing technical leadership, managing architecture, and promoting high technical standards across the organization. It requires partnering across teams on company-wide initiatives, sharing best practices, and mentoring the next generation of technical leaders. The ideal candidate has 10+ years of full-stack experience with languages like Java, Scala, Node, JavaScript, or React, a CS degree, experience in scalable systems engineering with testing, reliability, security, and observability, strong communication, mentoring ability, customer-focused decision-making, and familiarity with A/B testing techniques.

Atlassian is a global leader in team collaboration and productivity software, with products like Jira, Confluence, Trello, Bitbucket, and Rovo used worldwide. They are seeking a Principal Machine Learning Engineer for their Search & Intelligence organization to build flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph. The role also involves developing frameworks, models, and infrastructure to accelerate AI feature development across the company. Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity. Responsibilities include leading ML algorithm and model development, collaborating with product/engineering/analytics to translate needs into solutions, designing architectures, leading experiments, mentoring, and shaping AI strategy across Atlassian.

Atlassian offers flexible work options—office, home, or a mix—giving employees more control over family, personal goals, and priorities. Atlassian hires people in any country where it has a legal entity. In this role, you will regularly tackle the largest and most complex problems from technical design to launch and provide technical leadership on high-impact projects with plans of attack for large initiatives. You will routinely tackle complex architecture challenges, apply architectural standards to new projects, and champion raising the technical bar across the organization with a high technical standard. You will partner with Engineering teams on company-wide initiatives spanning multiple projects, transfer knowledge and best practices to improve engineering excellence, and mentor the next generation of technical leaders at Atlassian.

- Atlassian offers flexible work options and global hiring, but the role requires you to be located in the United States and to collaborate with teams across the US, Australia, and India. - The position is for a Senior Principal Engineer in Atlassian’s Dev AI engineering organization, focused on AI-native developer experiences and autonomous SDLC capabilities, building the platforms, runtimes, and developer tooling used across Jira, Bitbucket, and the Teamwork Graph. - It is a high-leverage individual-contributor role responsible for establishing technical direction, leading cross-organizational initiatives, resolving architectural ambiguity, and raising the engineering quality bar across multiple teams. - Responsibilities include defining multi-year architectural blueprints, shaping agentic architecture and SDLC foundations, and architecting scalable, secure runtimes for autonomous developer agents, including execution sandboxes, tool orchestration, and memory systems, as well as guiding code-intelligence capabilities grounded in repository context. - Additional focus areas encompass establishing shared libraries and standards, production readiness and operational excellence, automated agent evaluation and telemetry, serving as a senior escalation point for platform risks, and mentoring engineers while remaining hands-on with prototypes, architectural validation, and hiring.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. The role is Senior Data Engineer within the Product Data Engineering (DE) organization, responsible for designing premier data architecture and driving strategic decision-making. It involves collaborating with business stakeholders to translate operational needs into technical requirements and spearheading company-wide initiatives with cross-functional teams, while mentoring junior engineers. Responsibilities include architecting scalable data solutions, building and optimizing ELT/ETL pipelines, designing robust data models, implementing data quality frameworks, and owning the end-to-end data engineering lifecycle. The role also includes on-call duties for platform stability and partnering with software engineering teams to enable rapid, self-service data consumption.

Atlassian offers flexible work locations and global hiring wherever there is a legal entity, enabling employees to balance family, personal goals, and priorities. The company’s products—Jira Software, Confluence, and Jira Service Management—help teams collaborate across disciplines and are trusted by Fortune 500s and other organizations worldwide, including NASA and Deutsche Bank. The Mid-Market sales team manages a portfolio of about 40 accounts (200–10,000 seats), pursuing net-new growth, cross-sell, and user expansion while collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, and advocating for customers. In this role you will own deals end-to-end as the quarterback, maintain executive relationships, leverage MEDDPICC, handle a $2–4M annual quota, negotiate and price contracts, qualify leads, forecast accurately, and maintain a healthy pipeline. You’ll stay aware of industry trends, travel occasionally for meetings and events, and contribute to Atlassian’s at-scale deployment and ongoing customer success in line with Atlassian values.

Atlassian supports flexible work locations—office, home, or a hybrid arrangement—and hires in any country where it has a legal entity to help employees balance personal priorities. Its Grad++ program blends hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful Atlassian career. The described role is a hybrid position based in Seattle, WA, and it requires the ability to work there; it is not eligible for F1 or J1 students and offers no sponsorship. The Security team protects products, customers, and systems by combining software engineering, security research, and investigation, while building practical capabilities and addressing risks. Responsibilities include developing and maintaining security tools, conducting investigations and research, using AI-assisted coding and research tools, contributing to security operations, documenting solutions, and collaborating with engineers while raising blockers when needed.

At Atlassian, you can work flexible hours and locations, and the company is hiring a Machine Learning Engineer for the Growth organization to build intelligent, personalized experiences that guide customers through the lifecycle. The Growth team combines product, engineering, data science, analytics, and product operations to improve discovery, adoption, expansion, and retention, using experimentation, personalization, and orchestration to deliver relevant recommendations and journeys across surfaces. You will design, build, and operate ML systems for personalized recommendations, activation and engagement journeys, cross-product expansion, and sales experiences, while defining the strategy for evolving ML capabilities and ensuring robust data foundations, evaluation frameworks, and decisioning systems that enable durable value. Requirements include a Bachelor’s or Master’s in CS or related field, 5+ years in ML, strong Python (plus Java/Typescript), SQL, Spark, cloud experience (AWS/Databricks), experience with large-scale models and datasets, and the ability to communicate ML concepts to diverse audiences, with familiarity in contextual bandits, uplift modeling, recommender systems, or causal inference; collaboration with product, analytics, marketing, and sales is essential, and SaaS/B2B/B2C experience is a plus. The role emphasizes solving ambiguous problems, balancing short-term signals with long-term outcomes, and prioritizing practical business impact and continuous iteration within an agile mindset.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where they have a legal entity. The Senior Machine Learning Engineer — Agentic Search role sits on the Search Relevance team, building systems that help people and AI agents discover enterprise knowledge and complete tasks across Atlassian products and tools. You’ll build agentic search capabilities via APIs and protocols like MCP, create reproducible benchmarks, evaluate performance, and improve the full search stack from model behavior to tool interfaces based on evidence. You’ll own projects end-to-end, collaborate across product, search, and AI teams, mentor engineers, contribute to design and code reviews, and evolve engineering practices with AI tools. Requirements include a degree or equivalent, 4+ years of ML production experience, strong Python, experience with LLMs/AI agents/IR/NLP, experimental design, and daily use of AI tools, with preferred skills in building agent tools, MCP/API design, agent evaluations, semantic retrieval, LLM fine-tuning, and distributed processing in cloud environments.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity. They’re seeking product-minded Principal Engineers who are hands-on senior individual contributors at the seam of deep technical craft and strong product judgment. The role owns customer-facing products end-to-end across the full stack, shaping what gets built and delivering AI-native, agentic experiences used by teams globally. Responsibilities include end-to-end feature ownership across React/TypeScript front ends, backend services, and APIs; setting success metrics, instrumenting and monitoring, and adjusting design based on data; and setting technical direction while partnering with product managers, designers, and platform teams. The position also emphasizes raising the engineering bar through code reviews and mentoring, finding high-leverage problems in ambiguous spaces, prototyping quickly, and delivering production-grade quality at scale.

Atlassian supports flexible work options (office, remote, or hybrid) and hires people in any country where it has a legal entity. The Future Org Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set students up for a successful career at Atlassian. The paid internship runs for 12 weeks between May/June and August/September 2027 and is a hybrid role in Seattle, WA or San Francisco, CA; applicants must be willing to work in those locations and this program does not offer F1/J1 eligibility or sponsorship. From day one, interns join a development team, are trusted to change code that impacts products, and gain deep experience in full lifecycle product development under senior engineers. The Engineering team focuses on moving customers to the cloud while continuing to deliver value across Jira, Confluence, Trello, and Bitbucket as part of a unified R&D effort.

The Sales and Success Strategy team develops pragmatic, customer-centric GTM strategies that adapt to market dynamics, use data-driven insights to uncover growth opportunities, optimize the sales process, and increase market share while delivering rich customer experiences; success is measured by profitability, market share, and customer delight. Atlassian is seeking a Principal Strategist to develop GTM strategy across initiatives, using qualitative and quantitative methods to evaluate opportunities and design initiatives that drive P&L growth from customers. This role will deliver value and delight at scale to customers, partners, and across Atlassian, while creating outcomes that unlock the Atlassian System of Work and establish the long-term direction of the business through cross-functional collaboration with executives and stakeholders. The ideal candidate is an independent, highly-capable individual contributor who thrives in a fast-paced environment, can move seamlessly from high-level strategy to detailed action, and has a strong understanding of SaaS business models; responsibilities include developing actionable GTM strategies from ideation to design with internal and market due diligence, frameworks, and scalable options to meet fiscal year goals and longer-term targets. They will analyze complex information, test novel approaches, perform financial and market analyses, and lead multi-layered stakeholder management across all levels from front lines to the C-suite through clear communication, building trust and cross-functional support to accomplish goals.

Atlassian supports flexible work arrangements and hires globally in countries where it has a legal entity. They are looking for a Sales Leader to oversee a team of Teamwork Collection Specialists, building enterprise-focused sales strategies for the Teamwork Collection that leverage Loom, Rovo, Jira, and Confluence to meet aggressive revenue targets. The role collaborates with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales procedures, drive value propositions, and boost customer satisfaction, while also recruiting and developing top sales talent and maintaining relationships with Enterprise and Strategic clients. Responsibilities include leading the team to achieve sales targets in Enterprise and Strategic segments, developing strategic plans, mentoring, setting metrics, onboarding new hires, analyzing sales data, and providing regular updates to senior management. A working knowledge of organizational teamwork workflows is preferred, ideally with experience in Software Delivery and an understanding of AI's emerging role in the Enterprise and Strategic segments.

Atlassian supports flexible, distributed work and hires in any country where it has a legal entity. The Grad++ program offers hands-on technical training, dedicated mentorship, and strong social connections to set up students for a successful career. The role is hybrid and based in Seattle, WA, and applicants must be willing to work there; it is not eligible for F1 or J1 visas and does not offer sponsorship. You will build production-ready features for Jira, Confluence, and Trello, owning end-to-end work from design to deployment. The job also involves collaborating in Agile teams, innovating with AI/ML technologies, and solving complex technical problems using data-driven insights.

Atlassian supports flexible work locations, allowing collaboration where teams are most effective, and hires in any country with a legal entity. The Atlassian Intern program blends hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set interns up for a successful, impactful career. The internship is a hybrid role based in Seattle, WA or San Francisco, CA; you must be willing to work there, and it is not eligible for F1/J1 visas and does not provide sponsorship. As an intern on the Security team, you’ll oversee Atlassian services that host tens of thousands of customers, report to a Security Engineering Manager, and learn from a skilled team mentor. You’ll own a scoped security engineering project, develop tools and automation to find weaknesses or prioritize risks, conduct security research, use AI-assisted coding, and collaborate through design discussions and code reviews, delivering a solution ready for others to use and maintain.

Atlassian supports flexible work arrangements and hires in any country where it has a legal entity, encouraging distributed collaboration across home, offices, or both. The Intern program is a 12-week paid internship during Summer 2027 (May/June – Aug/Sept 2027), in a hybrid role based in Seattle, and it does not support F1/J1 visas or any sponsorship. The role is a Research Intern on the AI Research Systems (AIRS) team within the Research and Insights organization, focused on powering AI-native research workflows and delivering insights to cross-functional partners. Responsibilities include reporting to a Research Manager, contributing AI tools, pipelines, and systems for the R&I team, and conducting a research project using existing AI tooling. Minimum qualifications require a 12-week full-time commitment and current enrollment with return after the internship; preferred qualifications include experience building AI tools, understanding the research process, proficiency in qualitative and some quantitative UX research, data management/analysis, and the ability to share research insights effectively.

Atlassian offers flexible work options—home, global offices, or a mix—and hires in any country with a legal entity. The Intern program combines hands-on technical training, dedicated mentorship, and strong social connections to set students up for a successful career. It’s a hybrid internship based in Seattle, WA or San Francisco, CA, and applicants must be willing to work from those cities; it is not eligible for F1/J1 or sponsor-based work authorization. Interns will work on Atlassian’s AI/ML products and platforms, across governance, compliance, recommendations, and observability, partnering with teams across Engineering, Product, Growth, Sales, Marketing, and Security. Responsibilities include building and evaluating applied AI/ML solutions, contributing to projects involving models, agents, retrieval, and evaluation workflows, translating business needs into technical projects, and clearly communicating results with documentation of trade-offs and next steps.

Atlassian supports flexible, distributed work with virtual interviews and hires in any country where it has a legal entity (details at go.atlassian.com/distributed). The Grad++ program provides hands-on technical training, mentorship, professional growth opportunities, and strong social connections to set graduates up for a successful career at Atlassian. The described role is hybrid and based in Seattle, WA, and you must be willing to work from that location; it is not eligible for F1/J1 students and does not offer work sponsorship. Atlassian’s machine learning teams collaborate across Product, Engineering, Growth, GTM, Finance, and Sales to build ML infrastructure and intelligent product experiences, including areas like search, recommendation, personalization, Generative AI applications, and large language models. Responsibilities include building and evaluating ML models and Generative AI, using data and experimentation to improve quality, translating business problems into technical solutions with cross-functional partners, contributing across the ML lifecycle from prototyping to deployment and monitoring, and developing agentic workflows that combine LLMs, tools, and product context to solve complex multi-step problems.

Atlassian offers flexible work options and hires in any country where they have a legal entity, allowing collaboration from home, offices, or both. The Grad++ program blends hands-on technical training, mentorship, professional growth, and social connections to kickstart a career at Atlassian, and it is a hybrid role based in Seattle, WA, requiring that location; it is not eligible for F1/J1 visas or sponsorship. Atlassian’s Data Scientists collaborate with product, engineering, and business teams across Product Development, Growth, Marketing, and Operations to turn large-scale data into actionable decisions. They design and analyze experiments, build statistical frameworks, and develop machine learning models to solve business challenges and drive product innovation, defining core success metrics and uncovering user behavior trends to influence roadmaps. The role combines technical craft with strategic storytelling, developing data-driven hypotheses, analyzing telemetry data, identifying friction points and growth opportunities, and communicating results across the organization while partnering cross-functionally with product managers, engineers, designers, data engineers, and other data scientists.

Atlassian supports flexible work arrangements, letting employees collaborate from home or global offices, and hires in any country where it has a legal entity. The Atlassian Intern program combines hands-on technical training, mentorship, professional growth, and social connections, and runs for 12 weeks in Summer 2027 as a paid, hybrid role based in Seattle, WA (not eligible for F1/J1 and no work sponsorship). The Future Team role centers on data, reporting, and analytics to power the product with insights, requiring you to develop data-driven hypotheses and evaluate experiments, bridging data science, data engineering, and business teams. You will analyze rich telemetry datasets to uncover user journeys, friction points, and growth opportunities, and build robust data artifacts such as interactive dashboards, reproducible notebooks, or AI agents/skills to scale data-driven decision making. The ideal candidate has SQL and Python or R skills, solid stats knowledge, experience with A/B testing and ML fundamentals, familiarity with BI tools and AI/GenAI tools, strong communication, and is available for a 12-week full-time Summer 2027 while enrolled in a Masters program returning after the internship (graduating by August 2028).

Atlassian offers flexible work options, allowing collaboration at home, in global offices, or both, and hires in any country where they have a legal entity. The Grad++ program provides hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to support a successful Atlassian career. The position is a hybrid, Seattle-based New Graduate Data Engineering role and is not eligible for F1/J1 visas or any work sponsorship. In this role you’ll influence product teams, inform Data Science and Analytics Platform teams, and partner with data consumers to measure, collect data, and generate insights that improve product experience, engagement, efficiency, costs, and strategy. Responsibilities include defining metrics, instrumenting logging, data ingestion, data architecture and modeling, data transformation, data quality and governance, alerting, visualization and reporting, and developing at scale to improve efficiency.

Atlassian offers flexible work locations, allowing collaboration from home, global offices, or both, and hires in any country where it has a legal entity. Atlassian’s Intern program combines hands-on technical training, professional growth, dedicated mentorship, and social connections to set students up for a successful and impactful career, with a 12-week paid internship running May/June–August/September 2027 in Seattle, WA, hybrid. This internship places you in the Data Engineering team, where you’ll influence product teams, inform Data Science and Analytics Platform teams, and partner with data consumers to ensure data assets are of high quality and usefulness. Interns will help define metrics, collect data, build insights, and support improvements to product experience, engagement, efficiency, and costs, helping guide strategy. You’ll report to a Data Engineering Manager and work with a team mentor, and the role encompasses a broad set of responsibilities such as defining metrics, instrumenting logging, data acquisition and ingestion, data architecture and modeling, data transformation, data quality and governance, and alerting, visualization, and reporting at scale.

Atlassian offers flexible work options—office, remote, or a combination—so employees can balance family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. General responsibilities include solving problems, collaborating with cross-functional teams, building sustainable partnerships across technical backgrounds, communicating technical details effectively, and continuously learning to apply cutting-edge ML/AI knowledge. Daily responsibilities involve designing LLM-based methodologies and algorithms tailored to product needs, performing data preprocessing and feature engineering, and evaluating experiments with diverse metrics to ensure design specifications are met. They also include implementing and optimizing ML pipelines and monitoring and maintaining deployed intelligence solutions to ensure ongoing accuracy and efficiency.

Atlassian allows employees to choose their work location—office, home, or a hybrid mix. This flexibility gives Atlassians greater control over supporting their family, personal goals, and other priorities. The company states it can hire people in any country where it has a legal entity. There is a placeholder indicating that a specific job description will be inserted. Overall, the text emphasizes flexibility in work location and global hiring capabilities.

Atlassian's DX team helps teams worldwide advance through software, and as a CSM you partner with DX's customers to drive engineering transformation using the platform across implementation, rollout, and renewal. The role focuses on driving customer success by ensuring product utilization, business alignment, and high-value use cases, while becoming a product expert and managing the full customer lifecycle from implementation to renewal. You will create and maintain a customer success plan, track initiatives, meet net renewal and expansion targets, forecast renewals, and resolve renewal challenges to sustain a high renewal rate. You will establish DX as a strategic driver of customers' goals, lead executive discussions, identify expansion opportunities and new use cases, and collaborate with all functions to ensure customer success. Atlassians can work from an office, home, or hybrid, Atlassian hires in any country with a legal entity, and the team is collaborative with influence over decision-making, aiming to build an exceptional customer success function and a generational business.

Atlassian offers flexible work locations, allowing employees to work in an office, from home, or a mix to support family, personal goals, and priorities. They hire people in any country where they have a legal entity. Atlassian is looking for a Data Engineer to join the Data Engineering team, build scalable data solutions, and drive a data-driven culture. Data is a big deal at Atlassian, with billions of events ingested monthly to power analytics for dozens of teams across finance, growth, product analysis, customer support, sales, and marketing. The role involves end-to-end ownership, evolving solutions as business processes change, adding new data sources, coding business rules, and producing new metrics.

Atlassian is seeking a Senior Machine Learning Engineer in the Search & Intelligence organization to develop intelligent experiences, models, evaluation frameworks, and data pipelines that power its AI products and innovation, with flexible work options and hiring in any country where a legal entity exists. The role involves leading the full machine learning lifecycle—from problem definition and data exploration to model development, deployment, and ongoing optimization—working closely with product managers, software engineers, and data scientists. You will design, productionize, and own ML projects, building scalable data and modeling approaches and robust architectures that meet quality, latency, scale, privacy, and cost requirements. The work spans information retrieval, search ranking, personalization, natural language processing, deep learning, and large language model applications, with rigorous offline and online experiments to measure impact. You’ll mentor other ML engineers, contribute to technical strategy and best practices, translate research into reliable production systems, and foster a culture of experimentation and inclusive collaboration across the organization.

Atlassian offers flexible work options—office, remote, or hybrid—and hires people in any country where they have a legal entity, helping employees support family and personal goals. Atlassian is seeking a Principal in Strategy and Business Operations to partner directly with the Rovo and AI organization, Atlassian’s central AI platform team. The Strategy & Business Operations team drives strategy, growth, and business operations, owning projects from inception to delivery and delivering high-quality, impactful recommendations while stewarding performance against strategic plans. Responsibilities include mapping AI innovations to company-wide priorities, driving data-driven decisions via analysis and insights, leading operational processes for long-range planning and OKRs, and coordinating business reviews for the Rovo & AI leaders and Atlassian’s executive team with cross-functional stakeholders. Requirements include 8+ years in a high-growth software/tech environment in BizOps or consulting/investment banking, comfort with ambiguity and structured decision-making, strong executive presence and communications, proficiency with a range of AI tools, ownership and independence, and genuine enthusiasm for technology.

Atlassian is looking for a Senior Machine Learning Engineer to join the Search & Intelligence organization, building AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms that power its AI products. The company offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects across the full ML lifecycle from problem definition to deployment and ongoing improvement. A core focus is making evaluation a first-class part of AI development—defining quality, building evaluation datasets and benchmarks, analyzing model behavior, and using results to guide product and engineering decisions, with collaboration across product managers, engineers, data scientists, research scientists, and platform teams, plus mentorship. Responsibilities include building production ML models and AI systems, designing evaluation-driven development processes and datasets, conducting offline/online/human/model evaluations and error analysis, designing scalable architectures for quality, reliability, latency, privacy, and cost, applying IR, embeddings, NLP, deep learning, and LLM techniques, and communicating decisions while contributing to ML best practices.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for Growth to craft intelligent, personalized experiences that guide customers through awareness, activation, expansion, retention, and long-term value. The role focuses on turning behavioral and product signals into scalable ML systems for personalized recommendations and journeys, building data foundations, models, evaluation frameworks, and cross-product decisioning. You will design, build, and operate ML systems across the funnel, run offline and online experiments, monitor attribution, latency, quality, and fairness, and optimize for durable portfolio value rather than short-term metrics. Qualifications include 5+ years in ML, a CS-related degree, strong Python (plus Java/TypeScript), SQL, Spark, cloud environments (AWS/Databricks), experience with large-scale models and datasets/evals, and the ability to communicate ML concepts and collaborate with cross-functional teams. Preferred but not required are experience in SaaS/B2B or consumer space, and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, causal inference, and understanding engagement/activation/conversion/expansion/retention metrics; the role aims to move from fixed heuristics to a unified, value-aware orchestration system.

Atlassian lets employees choose where to work—office, home, or a mix. This flexibility gives Atlassians greater control over supporting their family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The text includes a placeholder for inserting a specific job description. Overall, the message emphasizes flexible work arrangements and global hiring reach.

Atlassians can work in the office, from home, or in a hybrid setup, and the company hires globally wherever there is a legal entity, enabling work-life balance and prioritization. Dev Infra builds the tools, platforms, and infrastructure every Atlassian engineer uses, and we’re hiring a Senior Principal Engineer for the AI Foundations team to improve AI across the software development lifecycle—the metrics, context, and compute it runs on. The reach is broad because the tools we build are used to ship developer tooling for Atlassian’s products, influencing both what and how the company ships to millions of developers. Responsibilities include setting the technical vision for AI enablement, staying hands-on with prototyping and coding, building foundational systems to measure AI effectiveness and run it reliably at scale, providing real signal instead of hype, and partnering with engineering and product to shape internal tools and customer-facing AI capabilities, deciding when to buy, build, or build something purpose-built. The role also involves mentoring senior engineers, aligning principals across the organization, and elevating what's possible while growing the team and ensuring AI is scalable, affordable, and impactful.

Atlassian offers flexible work options—employees can work from the office, from home, or a blend, and the company hires in any country where it has a legal entity. The role includes owning portfolio-level trust outcomes by setting strategic direction and steering a multi-year portfolio across Security, Compliance, GRC, and Privacy, aligning executive decisions with company priorities. It requires leading cross-functional delivery by orchestrating work across Trust Engineering, Product, Platform, Legal, GRC, and IT, while managing dependencies, risks, and trade-offs. The position emphasizes secure-by-default engineering—embedding automated security controls, AI-native SDLC, software supply chain defenses, and continuous vulnerability monitoring—and enabling regulated market access through readiness and certifications like FedRAMP. It also focuses on turning ambiguity into clarity through structured governance, influencing executive leadership with risk insights, establishing durable frameworks, and measuring impact with metrics on security posture, vulnerability reduction, audit readiness, and business value.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country with a legal entity, with this role designated for PST due to business needs. They are seeking a Credit and Collections Manager to lead the AMER region, responsible for reliable operations, stronger controls, and cross-functional partnerships to reduce risk and improve cash flow in line with quote-to-cash priorities. The role involves leading day-to-day operations through a team, developing staff, overseeing credit assessment/limits/monitoring/collections/disputes, updating policies, and driving process improvements while coordinating with Sales, Revenue, Accounting, IT, and Customer Support; it also requires establishing targets and reporting on metrics such as DSO and aging. Requirements include a degree, 7+ years in AR/credit/collections, 3+ years of people leadership, deep knowledge of related controls, experience in multinational or SaaS environments, and strong data-driven decision making, with preferred skills in Oracle Fusion, SAP/NetSuite, broader AR/revenue experience, CPA, and automation or reporting capabilities. The role is part of Atlassian’s Accounting Team, focusing on scalable, compliant, and customer-aware credit and collections outcomes, and Atlassian emphasizes inclusive culture with non-discrimination across race, religion, national origin, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

At Atlassian, you can work where you are most productive—office, home, or a hybrid—and interviews and onboarding are conducted virtually as part of a distributed-first approach. As a Senior Application Engineering Manager on the Corporate Engineering- Finance Technology team, you’ll lead application development and software engineers to modernize Finance Operations using Oracle Fusion Cloud, other SaaS, and initiatives in automation, AI/ML, and finance priorities, driving projects from design to launch. You’ll maximize Fusion Cloud features across core financial modules (OM, AR, AP, FA, GL), guide run-the-business operations, and manage cross-team integrations within a best-of-breed SaaS ecosystem (Zuora, Coupa, Anaplan, Avalara, Fieldglass, and more) while ensuring OKRs are met. The role emphasizes an automation mindset with RPA and low-code/no-code tools, a metrics-driven approach, and collaboration with engineers, data scientists, and product managers, with high-visibility impact across Procurement, Tax, Treasury, FP&A, Accounting, and Internal Audit for SOX compliance. Key qualifications include 9+ years as a hands-on senior engineering manager in Core Finance, expertise with Oracle Fusion Cloud and related SaaS stacks, experience leading transformations, familiarity with automation tools and AI/ML, exposure to Salesforce/Databricks, and strong communication and leadership skills.

Atlassians can choose where they work—office, home, or a hybrid—giving them flexibility to balance family, personal goals, and priorities. Atlassian hires people in any country where the company has a legal entity. In this role, you will collaborate with cross-functional partners to become a trusted strategic partner through structured work, apply technical expertise with quantitative analysis and experimentation, and test hypotheses using various methodologies. You will define, understand, and test opportunities to improve the products and business, influence roadmaps with insights and recommendations, and partner with teams to inform, influence, and execute strategy decisions while forecasting and monitoring key product metrics. You will use data and storytelling to shape product development, quantify opportunities, identify upcoming challenges, ensure the products we build bring value to people, businesses, and Atlassian, and communicate insights broadly to leadership teams.

Atlassian offers flexible work options—office, home, or hybrid—to help employees balance family, personal goals, and other priorities. They hire in any country where they have a legal entity, and data is central, with billions of events ingested monthly and dependence on many teams to run the business. As AI systems increasingly use their data, Atlassian requires data to be clearly described, accurately classified, explicitly owned, and demonstrably trustworthy before use. Atlassian is seeking an Engineering Leader to own data governance and the enterprise context that makes data trusted and AI-ready, including the governance operating model, policy for classification/access/retention/acceptable use with Privacy, Legal, Security, and Compliance, and running data quality as a product. The role also includes shaping the technical strategy for a data catalog, metadata, and lineage platform, connecting business entities to ownership and quality signals, exposing context programmatically for agents and applications, and shifting governance left with data contracts, automated ingest classification, policy-as-code, and AI-readiness certification to gate data use while driving adoption across a federated organization.

The Head of Detection & Response (DnR) is a senior security engineering leader responsible for Atlassian’s global incident detection, response, threat intelligence, and security operations programs, driving strategy, execution, and measurable outcomes across cloud-first environments to prevent, detect, and respond to threats at scale and build customer trust. Atlassian supports flexible work arrangements and hires globally where they have a legal entity, enabling employees to work in-office, remote, or hybrid to accommodate personal priorities. The role owns the global detection and response strategy, roadmap, and investment plan, ties security outcomes to business risk and customer trust metrics, and builds a high-performing, multi-time-zone leadership bench with governance via OKRs, SLOs, and executive dashboards. It encompasses Detection Engineering, Incident Response and Operations, Threat Intelligence and Hunting, and Platform/Data/AI Enablement, scaling cloud-native detections across identity, data, endpoints, CI/CD, containers, and SaaS, while reducing false positives, maintaining 24x7 IR with automation and playbooks, conducting blameless post-incident reviews, and developing intel fusion and hypothesis-driven hunting with measurable detections, plus responsible ML/LLM-assisted detections and human-in-the-loop controls. It also covers Risk, Compliance, and Partnering, aligning with Product Security, Corporate Security, Governance/Risk, and Security Assessments, representing DnR in executive forums, customer escalations, and external audits, and building trust through transparency and evidence.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where there is a legal entity, supporting personal goals and family needs. The company seeks a Senior Principal Technical Program Manager (P70) to lead strategy, architecture-informed execution, and ecosystem scaling for its core Conversational AI and Agent Platforms. The role champions a Platform-as-a-Product mindset, defining platform evolution, developer experience, API standards, SDKs, runtime guardrails, and adoption pathways for both internal squads and external partners. You will orchestrate multi-quarter roadmaps for agent execution loops, semantic memory, tool/skill orchestration, and policy-driven model routing, oversee large-scale migrations with zero user disruption, and drive operational excellence with SLOs and end-to-end observability. You will also govern AI economics and efficiency, ensure enterprise trust and compliance (multi-region data residency, privacy controls, AI safety guardrails), align leadership through structured rhythms, and mentor other TPMs to raise platform thinking and execution excellence.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where the company has a legal entity. The role is with the Spark Growth team, focusing on large-scale experimentation for top-of-funnel acquisition, personalizing experiences, and building AEO/SEO features to help millions discover and sign up for Atlassian products. People leadership and team health responsibilities include mentoring engineers, building an inclusive, high-performing culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team well-being and sustainability. Delivery and technical leadership involve owning team outcomes across multiple top-of-funnel workstreams, making prioritization trade-offs, refining agile processes, guiding architecture and technical strategy, establishing AEO methodologies, promoting engineering excellence, and ensuring system resilience. Why Spark? You’ll have meaningful early impact, collaborate to deliver personalized outcomes, and rely on data-driven decision making with metrics tied to customer and business results; the role requires 5+ years of experience leading software engineering teams, a CS degree or equivalent, strength in distributed systems and cloud platforms, and experience with AI/ML systems and cross-functional collaboration to shape strategy.

At Atlassian, employees can choose where to work—office, home, or a hybrid—and the company can hire in any country where it has a legal entity, supporting family and personal priorities. They are seeking a Product Manager with a passion for AI-powered conversational experiences to drive Rovo Chat, Atlassian’s AI-driven interface for discovering knowledge and taking action across the digital workplace. The role sits in the Central AI team and will shape how millions of users interact with AI across Atlassian’s product suite, focusing on vision, strategy, and execution for Rovo Chat. Core responsibilities include developing the product roadmap, identifying opportunities to grow Chat adoption and MAU, and delivering intelligent chat experiences that connect users to knowledge from Jira, Confluence, Bitbucket and external sources like Google Drive, Slack, GitHub, and Salesforce, with improvements in memory and proactive assistance. It also requires cross-functional collaboration, program-level execution, and defining metrics for chat quality, adoption, and responsible AI practices to ensure safe, transparent, and inclusive experiences.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where we have a legal entity to support family and personal goals. The role focuses on Atlassian Government Cloud (FedRAMP Moderate) for US Public Sector, aiming to build a scalable product roadmap using a build-once, authorize-many approach. The team defines the end-to-end roadmap, partners with platform, product engineering, security, risk & compliance, legal, and GTM, engages with agency sponsors to validate requirements and support migrations, and shapes pricing, packaging, and marketplace readiness for federal procurement. The Product Manager will co-create and sequence the roadmap, translate regulatory controls into product requirements, drive cross-functional execution, gather agency feedback, and lead pricing and launch readiness, while serving as SME on public sector needs and compliance realities. On day one, the role requires B2B SaaS product management experience with a focus on platform, security, or compliance, plus US public sector or regulated enterprise experience, cloud infrastructure understanding, and a proven ability to lead cross-functional initiatives; nice-to-have items include FedRAMP lifecycle experience, 3PAO or GSA/FedRAMP PMO exposure, knowledge of NIST SP 800-53/RMF/CMMC, and experience enabling third-party apps in regulated cloud environments.

At Atlassian, employees can work in an office, from home, or a mix, and the company hires in any country where it has a legal entity. The Senior Manager will build and drive Government Cloud platform components with a hands-on leadership approach, focusing on end-to-end release processes and moving toward operator-approved releases. Responsibilities include owning the release process for government releases, establishing go/no-go criteria, managing the release calendar, and serving as the escalation point for release-impacting incidents while ensuring readiness and rollback plans. The role will manage a 10-15 person software engineering team, set strategy and roadmaps to reduce release risk and cycle time using practices like trunk-based development, feature flags, canaries, automated release gates, and one-click rollback, and will partner with other platform teams. The position requires coordinating with cross-functional teams, communicating status and decisions to senior leadership, conducting blameless post-release reviews, and ensuring compliance with change management and audit standards (e.g., SOC 2, ISO 27001, FedRAMP, PCI, SOX).

Atlassian supports flexible work arrangements and hires globally where it has a legal entity, but this Senior Principal Engineer role must be located in the United States to coordinate with teams in the US, Australia, and India. The role centers on Atlassian’s Trusted Data Platform (TDP) and Data Exchange Platform (DXP), delivering secure, scalable data storage, streaming, processing, and movement across multi-cloud environments while meeting data residency, encryption, regulatory, reliability, disaster recovery, and operation requirements. It is a high-leverage individual-contributor position that provides organization-wide technical leadership, shaping the architecture and evolution of the cloud-agnostic data infrastructure, including compute/runtime, streaming substrates, and platform intelligence for reliability, cost, adoption, and operational health. Responsibilities include establishing architectural direction across multiple teams, leading reviews, mentoring engineers, defining multi-year strategy, coordinating across the US, Australia, and India, and driving multi-cloud data/compute, streaming, and intelligence initiatives with emphasis on reliability, security, and cost efficiency. Success means delivering reusable platform capabilities, translating complex requirements into architectures and roadmaps, guiding cross-functional decisions and investments, and improving engineering quality while maintaining hands-on involvement for key technical work.

At Atlassian, employees can work anywhere; Atlassian hires from any country with a legal entity, and the Rovo team builds search capabilities to help AI agents find, understand, and act on enterprise knowledge across Atlassian products and connected applications. Enterprise search is challenging because information is scattered across documents, conversations, tickets, and other systems, and agent queries depend on company-specific terminology, permissions, and information that changes over time. The Principal Architect will define the architecture for enterprise agentic search, owning the design of retrieval, agent orchestration, context construction, evaluation, and LLM training, while delivering prototypes and guiding engineers and scientists. Responsibilities include establishing system boundaries and reusable capabilities, designing for enterprise complexity (permissions, tenant isolation, freshness, domain language), balancing search quality with scalability, latency, cost, and reliability, and defining benchmarks, datasets, evaluation environments, and reproducible experiments. They will lead technical direction across teams with a multi-quarter roadmap, validate architecture through implementation and production results, and drive continuous improvement of agent task success.

Atlassian supports flexible work locations and global hiring, with a Trusted Data Platform that provides secure, reliable, and scalable data storage to meet data residency, encryption, regulatory compliance, backup and recovery, and multi-cloud operation needs. TDP SQL is Atlassian’s managed relational-database platform, giving engineering teams a supported way to build applications without handling the underlying infrastructure, availability, security, scaling, or enterprise controls, and the company seeks a Senior Engineering Manager to lead the TDP SQL engineering team. The role entails leading and developing engineering managers and engineers, building an inclusive, high-performing team through effective hiring, onboarding, talent development, and succession planning, and establishing operating practices for predictable execution while balancing capacity across strategic investments, customer commitments, operational work, and technical debt. Strategy and execution involve defining and executing the TDP SQL strategy and roadmap aligned with Atlassian’s data-platform and cloud-infrastructure goals, translating enterprise and product requirements into measurable outcomes and milestones, surfacing risks early, and increasing platform adoption by reducing integration complexity and delivering production-ready capabilities. Reliability, customer trust, and cross-functional leadership include owning the platform’s operational health (availability, durability, performance, security, compliance, recoverability), establishing service-level objectives and on-call practices, guiding architectural direction across multiple clouds, managing cost posture and unit economics, and representing TDP SQL in engineering reviews, leadership forums, and portfolio planning.

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.

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, 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 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 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 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 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.

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.

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.