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The role is Atlassian Systems Engineer who designs, configures, and integrates Atlassian cloud-based solutions to support enterprise work processes. You will transform complex requirements into scalable configurations, automations, and dashboards, and develop architecture documentation and standards. You will integrate Atlassian tools with other enterprise platforms (M365, ServiceNow, GitHub, Slack) and build automation using native tools, APIs, and scripts (Python, PowerShell, REST). You will collaborate with product owners, project managers, and technical leads to shape requirements and provide guidance on Atlassian capabilities, governance, and best practices. You will communicate complex technical ideas in clear language for non-technical stakeholders, and you’ll work from the Grove office up to 3 days per week.

Atlassian allows flexible work locations—office, remote, or hybrid—and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and help top organizations leverage Atlassian’s AI capabilities. Your responsibilities include leading the design, development, and deployment of AI/ML solutions, building robust integrations using Python/JavaScript, and leveraging frameworks like TensorFlow, PyTorch, and agent-based platforms such as LangChain and LlamaIndex. You will drive data-driven product direction, champion AI-augmented workflow automation, oversee end-to-end production deployment with monitoring, navigate AI risk and data privacy/regulatory requirements, and mentor junior engineers while communicating with stakeholders. You’ll align technical progress with business objectives, setting a clear vision and measurable results, and translate complex concepts for both technical and non-technical audiences.

Atlassian offers flexibility in where you work—office, home, or a mix—so you can better support family, personal goals, and priorities. They hire people in any country where they have a legal entity, and interviews and onboarding are conducted virtually as part of being a distributed-first company. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver innovative, AI-powered solutions. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities, collaborating with product, engineering, and design to grow technically and make a tangible business impact. Your responsibilities include leading the design, development, and deployment of AI/ML solutions using frameworks like TensorFlow and PyTorch and agent-based platforms such as LangChain and LlamaIndex, building robust integrations with Python or JavaScript, driving data-driven insights, promoting AI-augmented workflow automation, overseeing production deployment with risk and privacy considerations, mentoring engineers, and communicating progress to align with business objectives.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever we have a legal entity to support employees’ family and personal goals. The role involves working with customers and partners to migrate Atlassian products from On-prem to Cloud, including joining calls for migration updates and coordinating with cross-functional support teams (CSM, EAs, Devs) for optimal customer outcomes. You will contribute to creating and reviewing knowledge articles and participate in release readiness activities. Qualifications include 8+ years in support, software services, or system administration for large end-user communities; 2+ years with enterprise customers in a high-touch model; strong SQL, scripting (Python, bash), SSO/SAML/LDAP/AD/SSL, Splunk, APIs/REST; experience with Linux/Unix/Windows, networks, and Java/JVM support. Enterprise experience, teamwork, problem-solving, ability to learn new technologies, and server-to-cloud migrations experience are advantageous.

At Atlassian, employees can choose to work in an office, from home, or a mix, giving them flexibility to support family and personal goals. The company hires in any country where it has a legal entity. The role involves working directly with customers and partners to migrate Atlassian products from On-prem to Cloud, including jumping on calls to provide migration updates and collaborating with cross-functional teams such as CSMs, EAs, and developers for successful outcomes. Responsibilities also include engaging support teams across regions, contributing to knowledge articles, and participating in release readiness activities. Qualifications include 8+ years in support, software services, or system administration for large end-user communities, 2+ years with enterprise customers in a high-touch model, strong SQL, scripting (Python, bash), experience with SSO/SAML/LDAP/AD/SSL, Splunk, APIs/REST, multiple operating systems, networking, and Java/JVM, plus a proven ability to learn new technologies and work effectively in an enterprise environment; server-to-cloud migration experience is a plus.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires globally where they have a legal entity. They are seeking a Senior Site Reliability Engineer to join the Jira SRE team, which owns Jira Cloud’s infrastructure, tooling, and automation. The ideal candidate is a technical leader with awareness of reliability trends, mentoring experience, and a passion for sharing knowledge. They should have deep expertise in modern cloud infrastructure, programming, and operational experience, plus a drive to change the status quo. The role involves analyzing and improving services and processes to boost reliability, performance, scalability, and cost efficiency, reporting to the Senior Engineering Manager.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement, and hires globally where they have a legal entity. They are looking for a Senior Site Reliability Engineer to join the Jira SRE team to scale cloud services and own the infrastructure, tooling, and automation that Jira Cloud runs on. The ideal candidate is a technical leader who stays current with reliability trends, can mentor and grow team members, and enjoys sharing knowledge with others. They should have deep knowledge of modern cloud infrastructure, programming skills, operational experience, and a drive to challenge the status quo. The role involves analyzing and improving services and processes to achieve higher reliability, performance, scalability, and cost efficiency, reporting directly to the Senior Engineering Manager.

Atlassian allows employees to work from office, home, or a mix, giving them control to support family and personal goals, and hires globally where it has a legal entity. Jira AI Org drives AI innovation across Jira, delivering seamless AI experiences, building shared AI capabilities, and exploring integrations of Jira with AI solutions beyond Atlassian. The Senior Machine Learning Systems Engineer role involves collaborating with engineers, data scientists, and product managers to solve complex problems and lead projects from design to launch, delivering ML solutions reaching millions. Responsibilities include curating ML datasets, fine-tuning open-source LLMs or leveraging proprietary LLMs, and mentoring junior teammates. Requirements on day one include 4+ years of experience building ML/AI solutions, end-to-end ML systems experience (data engineering, model serving, monitoring), expertise with GenAI tools and LLMs including RAG, strong Python and ML framework skills (PyTorch/TensorFlow/JAX), Java/Kotlin familiarity being beneficial, and experience with MLOps and CI/CD for continuous training and deployment.

Atlassian lets employees choose where to work—office, home, or a mix—and hires in any country where it has a legal entity to support family and personal priorities. The Jira AI Org drives AI innovation across Jira, aiming to make Jira smarter and easier to use, help users progress quickly with AI, establish horizontal AI capabilities, and explore integrations with AI solutions beyond Atlassian. The Senior Machine Learning Systems Engineer role involves collaborating with software engineers, data scientists, and product managers to solve complex problems, leading projects from design to launch, partnering with teams for impactful results, delivering robust ML solutions for millions, and mentoring junior team members. On day one, candidates should have extensive ML/AI experience (4+ years) and a track record of building end-to-end ML systems including data engineering, model serving, and monitoring. They should be expert in GenAI frameworks and tools, including developing and fine-tuning LLMs and RAG systems, proficient in Python and ML frameworks like PyTorch, TensorFlow, or JAX, with Java/Kotlin familiarity as a plus, and experienced in MLOps, CI/CD, and automation for continuous training, deployment, and monitoring.

Atlassian offers flexible work options—office, home, or hybrid—and hires globally, all guided by the mission to unleash the potential of every team. The company’s well-known products like Jira, Confluence, and Bitbucket power teamwork and have enabled world-changing outcomes, such as NASA’s Mars Rover launch and Cochlear’s hearing technology. The Central AI Org focuses on AI innovation across Atlassian, delivering seamless AI experiences and a centralized Search, Q&A, and Conversational AI system while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML across Atlassian by building productive tools and ensuring secure, seamless integration with the Atlassian Data Platform for development, deployment, measurement, and operation. As a Senior Machine Learning System Engineer, you’ll develop core ML infrastructure, collaborate with product teams like Jira and Confluence, curate datasets, fine-tune LLMs, lead projects from design to launch, contribute to code reviews and documentation, and mentor junior engineers while supporting cross-team initiatives.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, all guided by the mission to unleash the potential of every team and anchored by products like Jira, Confluence, and Bitbucket. Their tools power teamwork across industries and have supported notable achievements such as NASA’s Mars Rover launch and Cochlear’s hearing aid technology. The Central AI Org drives AI innovation across Atlassian’s products, building horizontal AI capabilities and a centralized search, Q&A, and conversational AI system, while exploring integrations beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI/ML by creating productive, reliable tools that help teams develop, deploy, measure, and operate AI/ML experiences, integrated with the Atlassian Data Platform and governed by security and data usage policies. The Senior Machine Learning System Engineer will develop core infrastructure enabling engineers and data scientists to build, train, evaluate, deploy, and manage ML models, collaborate with product teams like Jira and Confluence, curate datasets and fine-tune LLMs, lead projects from design to launch, and mentor junior team members while contributing to cross-team initiatives.

Atlassian offers flexible work options, hires globally wherever it has a legal entity, and pursues its mission to unleash the potential of every team with products like Jira, Confluence, and Bitbucket that enable collaboration and real-world impact. The Central AI Organization focuses on AI innovation across Atlassian products, builds a robust AI infrastructure, and is establishing a centralized Search, Q&A, and Conversational AI system while exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team aims to democratize AI and ML by delivering productive, reliable tools that support the development, deployment, measurement, and operation of AI experiences, integrated with the Atlassian Data Platform and governed by security and data usage policies. As a Senior Machine Learning System Engineer on this team, you will help create core infrastructure that enables engineers, ML engineers, and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborating with Jira and Confluence to tackle product-specific ML challenges such as curating datasets and fine-tuning LLMs. You will lead projects from the technical design phase through launch, deliver cutting-edge AI features used by Atlassian teams and customers, conduct code reviews and documentation, partner on company-wide initiatives, and mentor junior teammates.

- Atlassian lets employees choose where to work—office, home, or a hybrid—and hires in any country where it has a legal entity to support their family, personal goals, and other priorities. - Atlassian's mission is to unleash the potential of every team, and its products like Jira, Confluence, and Bitbucket help teams collaborate and succeed across many processes, powering breakthroughs in various industries. - Central AI Org drives AI innovation across Atlassian products and platforms, aiming to deliver seamless AI experiences, build horizontal AI capabilities and infrastructure, and establish a centralized search, Q&A, and conversational AI system that integrates with all Atlassian products. - The AI & ML Platform Team seeks to democratize AI/ML for Atlassian's teams, customers, and ecosystem by creating productive tools that integrate with the Atlassian Data Platform while adhering to security and data usage policies for a smooth user experience. - As a Senior Machine Learning System Engineer, you will help design and implement core infrastructure for ML models and pipelines, collaborate with Jira and Confluence teams, curate datasets, fine-tune LLMs, access proprietary models, lead projects from design to launch, deliver cross-team AI features, perform code reviews and documentation, and mentor junior engineers.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. As a Senior ML System Engineer on the AI & ML Platform team, you’ll develop and refine the core infrastructure that enables engineers, ML teams, and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence to solve their ML challenges (datasets, fine-tuning open-source LLMs, or accessing proprietary LLMs). The role involves leading projects from technical design through launch and partnering with various teams to deliver impactful AI features used by millions of customers, along with code reviews, documentation, and bug fixes within a strong engineering culture. Required qualifications include 5+ years of experience building ML and AI infrastructure, comprehensive ML lifecycle expertise, large-scale distributed system design, and MLOps/automation for continuous training, deployment, and monitoring. Preferred skills include Python and ML frameworks (PyTorch, TensorFlow, or JAX), familiarity with cloud platforms (AWS, GCP, Azure), big data processing (Spark, Ray, Dask), performance optimization, and experience with GenAI/LMMs and retrieval-augmented generation (RAG).

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. As a Senior ML System Engineer on the AI & ML Platform team, you’ll build core infrastructure for ML models and pipelines and collaborate with product teams like Jira and Confluence to solve their ML challenges. You’ll curate high-quality ML datasets, fine-tune open-source LLMs or access proprietary LLMs, lead projects from design to launch, and work with multiple teams while mentoring junior engineers, delivering code reviews, documentation, and bug fixes. The role requires 5+ years of experience in ML/AI infra, comprehensive ML lifecycle expertise, and large-scale distributed system design with MLOps and automation. Preferred skills include Python and ML frameworks (PyTorch, TensorFlow, JAX), familiarity with Go/Java/Scala, cloud platforms (AWS/GCP/Azure), big data frameworks (Spark, Ray, Dask), performance optimization, and experience with GenAI systems, LLMs, and retrieval-augmented generation (RAG).

Atlassian offers flexible work options—office, home, or a mix—and hires in any country where we have a legal entity. As a Senior ML System Engineer on the AI & ML Platform team, you’ll develop and refine the core infrastructure that enables Atlassian software engineers, ML engineers, and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence to tackle their ML challenges, including curating datasets and tuning open-source or proprietary LLMs. You’ll lead projects from technical design to launch, partnering with multiple teams and stakeholders to deliver cutting-edge AI features used by millions of customers, and you’ll perform code reviews, write documentation, fix bugs, and mentor junior engineers. The role requires 5+ years of experience in building ML/AI infrastructure, comprehensive ML lifecycle expertise, large-scale distributed system design, and MLOps/automation, with expert Python and ML frameworks (PyTorch, TensorFlow, or JAX), plus familiarity with Go, Java, or Scala. Preferred qualifications include hands-on cloud experience (AWS, GCP, or Azure), big data processing (Spark, Ray, or Dask), performance optimization, and experience with Generative AI systems, LLMs, and retrieval-augmented generation (RAG).

The Rovo Mobile team is seeking a seasoned principal React Native mobile developer to help build AI vision features on mobile and maintain the Rovo app at Atlassian. The role involves collaborating with design to develop new features and workflows, validating their impact and usability, and delivering regular releases with the team. The team emphasizes customer focus, aiming to create experiences and select technologies that empower users while building fast, testable, and scalable features and infrastructure. Responsibilities include driving cross-disciplinary collaboration (engineers, designers, managers), addressing user pain points, contributing to code reviews and documentation, and tackling complex bug fixes. The role also includes leading projects from technical design through launch and operation, as well as onboarding and mentoring junior engineers.

The Rovo Mobile team is seeking an experienced principal mobile developer with React Native to help build AI vision on mobile and maintain the Rovo app at Atlassian. The role involves collaborating with design to develop new features and workflows in the Rovo Mobile app, and verifying their impact and usability. You will be responsible for feature development and delivering regular app releases, while contributing to code reviews, documentation, and handling complex bug fixes. The team is customer-focused, aiming to build high-quality features and scalable infrastructure, and you will drive collaboration across engineers, designers, and managers to understand user pain points and iterate. You will lead projects from technical design through launch to operation and onboard and mentor junior engineers.

The Rovo Mobile team is seeking an experienced principal mobile developer with React Native to help build our AI vision on mobile and maintain the Rovo app at Atlassian. You will collaborate with design to develop new features and user flows and verify their impact and usability. As part of the team, you will be responsible for feature development and delivering regular releases of the app. We are customer-focused, building experiences and selecting technologies to empower our users, with an emphasis on fast, testable, scalable features and infrastructure. You will lead projects from technical design through launch and operation, contribute to code reviews and documentation, handle complex bug fixes, and onboard and mentor junior engineers.

The Rovo Mobile team is looking for an experienced principal mobile developer with React Native experience to help build our AI vision on mobile and maintain the Rovo app at Atlassian. The role involves collaborating with design to create new features and workflows, validating their impact and usability, and delivering regular app releases. You will build high-quality features and scalable infrastructure while focusing on customer-centered experiences and selecting appropriate technologies. You will drive collaboration with engineers, designers, and managers to understand user pain points, contribute to code reviews and documentation, and tackle complex bug fixes. You will lead projects from technical design through launch and operation, and you will onboard and mentor junior engineers.

Atlassian is seeking a highly motivated Principal Program Manager to lead the TA Strategic Programs Team and drive cross-functional, high-impact recruiting initiatives. The role entails end-to-end strategy, planning, execution, and measurement of complex, multi-year TA programs that support business growth, partnering with TA leadership, senior executives, Engineering, People Insights, and external partners to identify critical talent needs and develop program roadmaps. It requires building and maintaining strong cross-functional relationships to ensure alignment, buy-in, and successful delivery, while leading change management through communications, training, and enablement. The position emphasizes data-driven decision making, leveraging analytics to assess effectiveness, inform improvements, stay current with trends, and pilot scalable, innovative solutions to enhance candidate, interviewer, and hiring manager experiences. The role includes mentoring program managers, proactively identifying risks with mitigation strategies, and working in a remote environment to support Atlassian teams globally.

Atlassian seeks a Principal Program Manager for the TA Strategic Programs Team to shape and execute high-impact, cross-functional initiatives that enhance global recruiting programs. The role involves partnering with senior leaders across TA, Engineering, People Insights, and external partners to design, launch, and scale programs aligned with strategic workforce goals and to lead end-to-end strategy, planning, and measurement of multi-year TA initiatives. Responsibilities include building relationships with cross-functional partners (TA leadership, HR, Legal, IT, etc.), driving organizational change through communications and enablement, and leveraging data to assess effectiveness and drive improvements. The candidate should stay current on industry trends, pilot innovative talent acquisition solutions to improve candidate, interviewer, and hiring manager experience, and proactively identify risks with mitigation strategies, while providing guidance to other program managers. Atlassian offers flexible work locations (office, home, or hybrid) and can hire anywhere with a legal entity; work is remote and involves interfacing with Atlassian teams globally.

- Atlassian is hiring a Principal Security Engineer with a focus on AI/ML, and due to time zone overlap, candidates can be located anywhere in Australia and New Zealand. - The role centers on securing AI/ML systems—models, data pipelines, and inference services—and implementing governance for responsible LLM use. - You will lead cross-functional efforts across engineering, platform, infrastructure, and privacy to promote secure, trustworthy AI, serving as a Technical SME to drive automation and provide the latest tools and methodologies. - On day one, you should have hands-on experience securing AI/ML systems, cloud security for AI workloads, coding in Java/JavaScript/Python/Go plus scripting, and a track record of leading large-scale projects with SME guidance to stakeholders. - Nice-to-have qualifications include prior security-focused roles, application security for ML/LLMs, mentoring, CVE contributions, open-source security work, and delivering industry presentations.

Atlassian can hire eligible candidates from any location in Australia and New Zealand due to time zone overlap, and interested applicants are encouraged to apply and chat with the Recruitment team. They’re seeking a Principal Security Engineer focused on AI/ML to protect models, data pipelines, and inference services through innovative defenses and governance, staying ahead of evolving AI security risks and standards. The role involves leading AI security efforts, partnering across engineering, platform, infrastructure, and privacy to foster secure and trustworthy AI across platforms and products. The Principal Product Security Engineer will serve as the Technical SME, promoting automation, reviewing designs and architectures, and driving security teams to equip partner teams with tools, techniques, and methodologies to enhance AI security. On the first day, you should have hands-on experience securing AI/ML systems and cloud security for AI/ML workloads, coding in Java/JavaScript/Python/Go and scripting, and leading large-scale projects, with nice-to-have items including security-focused roles, ML/LLM security experience, mentoring, CVEs, open-source contributions, and industry presentations.

Atlassian is hiring a Principal Security Engineer with a focus on AI/ML to protect models, data pipelines, and inference services through innovative defenses and governance, and to lead secure AI across engineering, platform, infrastructure, and privacy teams. The role involves partnering across teams to safeguard AI platforms and product experiences, serving as the Technical SME, promoting automation, and driving security teams to equip engineering partners with the latest tools and methodologies. On day one, you should have hands-on experience securing AI/ML systems, cloud security architecture for AI/ML workloads, and coding in Java, JavaScript, Python, or Go plus at least one scripting language, along with experience leading large-scale projects and providing SME guidance. Atlassian will hire from anywhere in Australia and New Zealand due to time zone overlap, and if this interests you, you can apply and chat with the Recruitment team. Nice-to-have qualifications include prior security-focused roles, application security for services integrating ML/LLMs, mentoring others, CVEs, contributions to open-source security software, and delivering industry presentations.

We are seeking a hands-on StarRocks Engineer on the Developer Observability team to architect, operate, and optimize large-scale StarRocks deployments powering real-time analytics and observability dashboards. The role requires deep expertise in StarRocks internals, performance tuning, operational excellence, and integration with modern data pipelines. You will design, build, and maintain production-grade StarRocks clusters for high-volume, low-latency analytics workloads, and lead schema and data modeling for clickstream, dimensional, and time-series data with deduplication, upserts, and efficient partitioning, plus optimize queries using materialized views, indexes, vectorization, and pipeline execution. You will diagnose and resolve high-severity incidents using logs, metrics, and profiling tools, implement permanent fixes and guardrails, and plan capacity, scaling, and resource management for multi-tenant environments; develop backup, disaster recovery, and upgrade strategies with minimal downtime. You will implement security best practices (AuthN/AuthZ, encryption, auditing, and data masking) and collaborate with engineering and SRE teams to define SLOs, observability dashboards, and alerting for StarRocks infrastructure.

The position seeks a hands-on StarRocks Engineer on the Developer Observability team to architect, operate, and optimize large-scale StarRocks deployments powering real-time analytics and dashboards. The role requires deep expertise in StarRocks internals, performance tuning, operational excellence, and integration with modern data pipelines. Responsibilities include designing, building, and maintaining production-grade StarRocks clusters for high-volume, low-latency analytics, and leading schema/data modeling for clickstream, dimensional, and time-series data with deduplication, upserts, and partitioning. It involves optimizing query performance via materialized views, indexes, and features like vectorization and pipeline execution, plus diagnosing incidents with logs, metrics, and profiling tools and implementing permanent fixes and guardrails. Additional duties cover capacity planning and resource management for multi-tenant environments, backup/DR/upgrade strategies, security best practices (AuthN/AuthZ, encryption, auditing, data masking), and collaborating with engineering and SRE to define SLOs, observability dashboards, and alerting for StarRocks infrastructure.

At Atlassian, employees can work from an office, home, or a combination, giving them flexibility to support family and personal goals. The company hires in any country where it has a legal entity, and interviews and onboarding are conducted virtually as part of a distributed-first approach. You will join the Data Center Revenue team within the FP&A function, a group dedicated to leading revenue forecasting and reporting in alignment with strategic initiatives. The role includes supporting financial deliverables related to close, forecasting, and planning for the Data Center business and Cloud migration initiatives. You will collaborate with cross-functional teams to develop migration strategies and plans, analyze data to provide insights for decision-making and optimize migration processes, and monitor and report on migration progress, addressing any issues or risks.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally with virtual interviews and onboarding as part of being a distributed-first company. You will join the Data Center Revenue team within the FP&A function. The team leads revenue forecasting and reporting in alignment with strategic initiatives. Your responsibilities include supporting financial deliverables related to close, forecasting, and planning for the Data Center business and Cloud migration initiatives, and collaborating with cross-functional teams to develop migration strategies and plans. You will also analyze data to support decision-making, optimize migration processes, and monitor and report migration progress, identifying and addressing issues or risks.

Atlassian is seeking a Cloud Network Engineer for its Edge Networking team to scale cloud networking services and ensure a reliable network experience for users of Jira, Confluence, Trello, and Bitbucket worldwide. The Edge Networking team owns the cloud infrastructure, tooling, and automation that underpin Atlassian products, and the ideal candidate is a technical leader aware of current industry trends in networking, proxies, and reliability, who enjoys sharing knowledge. The role requires deep understanding of modern cloud networking, programming expertise, operational experience, and a desire to change the status quo, with the aim of improving reliability, performance, scalability, and cost efficiency. Reporting to the Senior Engineering Manager of Edge Networking, responsibilities include writing code to automate and operate large proxy fleets across globally distributed regions, responding to operational events, contributing to major projects and new networking features, designing implementations, investigating security and cost improvements, and mentoring/hiring. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity.

Atlassian is seeking a Cloud Network Engineer for its Edge Networking team, which owns the cloud infrastructure, tooling, and automation that enable global customers of Jira, Confluence, Trello, and Bitbucket to have a reliable network experience. The ideal candidate is a technical leader who is aware of current industry trends in networking, proxies, and reliability, and can balance operational and project workloads while sharing knowledge with others. Responsibilities include writing code to automate and operate large proxy fleets across multiple globally distributed regions, responding to operational events with mitigations, and contributing to large projects to deliver new networking features. The role also involves designing new network features, investigating to proactively improve security, reliability, and cost efficiency, and contributing to mentoring and hiring. Atlassian offers flexible work options, hires in any country with a legal entity, and the role reports to the Senior Engineering Manager of Edge Networking, with the aim of achieving higher reliability, performance, scalability, and cost efficiency.

Atlassian is seeking a Cloud Network Engineer for the Edge Networking team to scale cloud networking services and ensure a reliable network experience for Atlassian’s global customers of Jira, Confluence, Trello, and Bitbucket. The Edge Networking team owns the cloud infrastructure, tooling, and automation that enable these products to deliver a dependable network experience worldwide. The ideal candidate is a technical leader aware of current networking trends (particularly around proxies and reliability), experienced in balancing operational and project work, and eager to share knowledge, with deep cloud networking, programming, and operational skills and a drive to change the status quo. Responsibilities include writing code to automate and operate large proxy fleets across globally distributed regions, responding to operational events with mitigations and follow-up actions, contributing to major projects delivering new networking features, designing new network features, investigating security, reliability, and cost efficiency improvements, and mentoring or hiring. The role reports to the Senior Engineering Manager of Edge Networking, and Atlassian offers flexible work options (office, home, or hybrid) with hiring allowed in any country where the company has a legal entity.

Atlassian is seeking a Cloud Network Engineer for its Edge Networking team, which maintains the cloud infrastructure, tooling, and automation that provide a reliable network experience for global users of Jira, Confluence, Trello, and Bitbucket. The ideal candidate is a technical leader with deep knowledge of modern cloud networking, proxies, and reliability, who can balance operational and project work and enjoys sharing knowledge. Responsibilities include writing code to automate and operate large proxy fleets across regions, responding to operational events and mitigations, contributing to large projects, designing new network features, investigating improvements for security, reliability, and cost efficiency, and mentoring and hiring others. The role aims to raise reliability, performance, scalability, and cost efficiency, and reports directly to the Senior Engineering Manager of Edge Networking. Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity.

Atlassian is looking for a Cloud Network Engineer to join the Edge Networking team and scale cloud networking services that support global customers of Jira, Confluence, Trello, and Bitbucket. The Edge Networking team owns the cloud infrastructure, tooling, and automation that enable a reliable network experience for Atlassian products. The ideal candidate is a technical leader with up-to-date knowledge of networking, proxies, and reliability, who can balance operational and project work, enjoys sharing knowledge, and brings deep understanding of modern cloud networking, programming, and operational experience, with a drive to change the status quo. Responsibilities include writing code to automate and operate large proxy fleets across globally distributed regions, responding to operational events and mitigations, contributing to major projects to deliver new networking features, designing new network features, investigating ways to improve security, reliability, and cost efficiency, and mentoring or assisting with hiring. The role reports to the Senior Engineering Manager of Edge Networking; Atlassian offers flexible working arrangements (office, home, or hybrid) and can hire in any country where they have a legal entity.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of being distributed-first. The role involves delivering large-scale people and experience programs and partnering with Business, People Operations, Engineering, Data Governance, and AI teams to advance priorities, strategies, and transformation. It drives Customer Zero objectives by advocating for feature enhancements across Atlassian products and embedding People processes into the Atlassian System of Work. The position manages the end-to-end delivery lifecycle of programs, including scheduling, resourcing, budgeting, tracking, benefits, and executive communication, while facilitating change management and ensuring adoption. It functions as a strategic partner, building strong cross-functional relationships throughout the program lifecycle, and supports developing the AI and Data Program delivery practice, including internal cadences and Agentic AI solutions for delivery and reporting.

Atlassians can choose where they work—office, home, or a hybrid—giving them greater control to support family, personal goals, and other priorities. Atlassian hires in any country with a legal entity, and interviews and onboarding are conducted virtually as part of being a distributed-first company. The role involves delivering large-scale people and experience programs and partnering with Business, People Operations, Engineering, Data Governance, and AI teams to deliver priorities, strategies, and transformation plans. It also entails driving Customer Zero objectives by advocating for feature enhancements across Atlassian products and embedding People processes into the Atlassian System of Work, along with managing end-to-end program delivery and executive communications and facilitating change management for adoption. Finally, the role acts as a strategic partner, fostering strong relationships across the program lifecycle with cross-functional and business-facing stakeholders, and supporting the development of the AI and Data Program delivery practice, including internal cadences and Agentic AI solutions for program delivery and reporting.

Atlassian offers flexible work locations, including remote work, with hires in any country with a legal entity; the role, however, requires you to be based in the Philippines and available during APAC business hours (6:00 am–3:00 pm). The position focuses on supervising daily accounts payable operations, including supplier invoice processing, employee reimbursements, and payments, ensuring timely and accurate processing. It also involves monitoring AP aging reports, ensuring adherence to company policies, internal controls, and regulatory requirements, and collaborating across teams to implement automation. The role includes leading and supporting AP team members, conducting performance reviews, assisting in month/quarter/year-end closing, delegating tasks to balance workload, and maintaining team and cross-functional goals as directed by management. Finally, you should be a team player and be willing to take on other responsibilities that may be assigned.

Atlassian offers flexible work options, including office, remote, or a mix, to help employees balance family and personal goals. They hire globally where they have a legal entity, and this role is remote but must be based in the Philippines and operate during APAC hours (6:00 am–3:00 pm). The core duties include supervising daily accounts payable operations such as supplier invoices, employee reimbursements, and payments, and ensuring timely and accurate processing. It also involves monitoring AP aging, maintaining internal controls and regulatory compliance, collaborating to implement automation, and leading the AP team with performance development and workload management. Additional responsibilities include assisting with month, quarter, and year-end closes, conducting performance reviews, aligning team and cross-functional goals, and taking on other duties as assigned while being a team player.

- Atlassian offers flexible work locations—office, home, or a mix—and hires globally in any country with a legal entity, with interviews and onboarding conducted virtually as part of its distributed-first approach. - The role is an entry-level Staff Accountant on the global general ledger team, reporting to the Accounting Manager, responsible for maintaining the accuracy and integrity of financial information across global entities and ensuring policy compliance while collaborating across teams and participating in innovation projects. - The Staff Accountant is expected to be detail-oriented, an effective communicator, and a flexible team player, demonstrating alignment with the company’s stated core values. - Key duties include supporting month-end close processes with journal entries (accruals, cash activity, allocations), performing and assisting with account analyses and reconciliations, and collaborating with Sales, Operations, HR, and FP&A to ensure accurate reporting and proper accounting for key transactions. - Additional responsibilities involve identifying opportunities for process improvements, contributing to system upgrades, data validation, and reporting optimization, and participating in global standardization of policies and procedures, along with other duties as required.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. Your Future Org describes an entry-level Staff Accountant role in the global general ledger, reporting to the Accounting Manager, working across global entities to maintain financial accuracy and compliance, collaborating across teams, and participating in innovation projects to help build a world-class finance organization. The position requires a detail-focused, effective communicator and flexible team player who values a fun work environment, and involves maintaining the accuracy and integrity of financial information and analyzing assets, liabilities, and capital for leadership decision-making. Key duties include supporting month-end close with journal entries (accruals, cash activity, allocations), conducting or assisting with account analyses/reconciliations, and collaborating with cross-functional teams (Sales, Operations, HR, FP&A) to ensure accurate financial reporting. The role also involves identifying process improvements, contributing to special projects such as accounting system upgrades, data validation, and reporting optimization, and participating in global standardization of policies and procedures, along with any additional duties as required.

At Atlassian, employees can work from an office, remotely, or a mix of both, and the company hires globally with virtual interviews and onboarding as part of a distributed-first approach. There is an entry-level Accountant position to join the global general ledger team, reporting to the Accounting Manager. The role focuses on maintaining the accuracy and integrity of financial information across global entities, ensuring policy compliance, and collaborating across teams and innovation projects to support a world-class finance organization, while embodying the company’s core values (Customer, People, Winning, Community, and Financial Responsibility). Core duties include supporting month-end close with journal entries, performing or assisting with account analyses and reconciliations, and working with cross-functional teams (Sales, Operations, HR, FP&A) to ensure accurate financial reporting. The position also involves identifying process improvements, participating in special projects (system upgrades, data validation, reporting optimization), contributing to global policy and procedure standardization, and performing additional duties as required.

Atlassian offers flexible work locations—office, home, or a mix—and hires globally with virtual interviews and onboarding as part of its distributed-first approach. There is an entry-level Staff Accountant role on the global general ledger team, reporting to the Accounting Manager, focused on maintaining accuracy and integrity of financial information across entities. The role emphasizes attention to detail, effective communication, teamwork, and embodying JD Finish Line’s core values of Customer, People, Winning, Community, and Financial Responsibility. Responsibilities include supporting month-end close with journal entries, conducting account analyses and reconciliations, collaborating with Sales, Operations, HR, and FP&A to ensure accurate reporting, and pursuing process improvements and special projects like system upgrades and data validation. It also involves participating in global standardization of policies and procedures and handling additional duties as required.

At Atlassian, you can work from an office, from home, or a combination of the two, and the company hires in any country where it has a legal entity, with virtual interviews and onboarding as part of being distributed-first. The role is for a Portuguese-fluent Pre-Sales Solutions Engineer for SMB (customers under 1000 employees) to be a solution expert in the sales cycle and help close deals, with a focus on expanding across LATAM; fluency in Portuguese is required and Spanish is a strong plus. You’ll join a team that serves over 250,000 customers worldwide and emphasizes value selling and a collaborative culture where employees work with Atlassian, not for Atlassian. Responsibilities include partnering with direct sales, partners, and larger account teams on SMB accounts, understanding customer profiles and problems, mapping them to Atlassian products and solutions, and identifying cross-product opportunities. You’ll lead compelling, value-based demonstrations, guide customers’ technical needs, build strong SMB seller partnerships, document product feedback and competitive intelligence, and continuously learn about pre-sales, products, and processes to drive solution success.

Atlassian enables flexible work locations (office, home, or hybrid) and hires globally where they have a legal entity, with interviews conducted virtually as part of being a distributed-first company. They are seeking a Portuguese-fluent Pre-Sales Solutions Engineer for SMB in LATAM who will solve customer problems with Atlassian products and help close deals, with Spanish being a strong plus. The role supports Atlassian’s rapid LATAM expansion, working with customers across the region and emphasizing value selling within a culture where employees work with Atlassian, not for Atlassian. Responsibilities include partnering with direct sales, partners, and account teams, conducting customer discovery, identifying cross-product opportunities, and leading compelling, tailored value-based demonstrations. Additional duties involve guiding customers’ technical needs, documenting product feedback and competitive intelligence, maintaining the pipeline, and continuously learning and refining pre-sales knowledge and processes.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The company is seeking a Portuguese-fluent Pre-Sales Solutions Engineer for SMB customers (under 1000 employees) to drive solution expertise in the sales cycle and help close deals, playing a key role in LATAM expansion; fluency in Portuguese is required and Spanish proficiency is a strong plus. The role supports a team focused on value selling, helping customers see how Atlassian products combine to transform their outcomes, within a collaborative, team-first culture. Responsibilities include partnering with direct sales, partners and SMB teams; conducting customer discovery; identifying cross-product opportunities; serving as a pre-sales product expert; leading value-based demos; and guiding technical needs to win buy-in. The position also involves collecting product feedback and competitive intelligence to inform product management, maintaining pipeline, and continuously learning Atlassian’s products and sales processes.

Atlassian offers flexible work options (office, home, or a hybrid) and hires globally where it has a legal entity, with interviews and onboarding conducted virtually as part of its distributed-first approach. Atlassian is looking for a Portuguese-fluent Pre-Sales Solutions Engineer for its SMB business (customers under 1000 employees) to be a solution expert in the sales cycle, solve customers’ toughest problems, and help close deals; Portuguese is required and Spanish is a strong plus for LATAM. In this role, you’ll be a key player in Atlassian’s rapid expansion across Latin America, partnering with customers throughout the region and focusing on value selling to demonstrate how our products create enterprise solutions. Responsibilities include partnering with direct sales, partners, and SMB teams; conducting customer discovery; mapping customer problems to Atlassian products; identifying cross-product opportunities; delivering compelling demonstrations; guiding customers’ technical needs; and maintaining feedback loops with product management. The team serves over 250,000 customers worldwide, including NASA, IBM, Hubspot, Samsung and Coca-Cola, and emphasizes teamwork, knowledge sharing, and progress in cloud and AI-enabled solutions.

Atlassian offers flexible work options (office, home, or hybrid) and hires anywhere with a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The company is seeking a Portuguese-fluent Pre-Sales Solutions Engineer for SMB customers (under 1000 employees) to champion solution expertise in the sales cycle and help close deals, with Spanish as a strong plus for LATAM. The role supports Atlassian’s rapid LATAM expansion, partnering with customers across the region and using a value-selling approach to unlock growth opportunities, guided by a culture of collaboration. Key responsibilities include partnering with direct sales, partners, and larger account teams; conducting customer discovery; mapping business problems to Atlassian products; delivering compelling value-based demos; and guiding technical needs to gain buy-in. You’ll also forge strong partnerships with SMB sellers, manage pipeline, document product feedback and competitive intelligence, and continuously learn and refine pre-sales and product knowledge to advance Atlassian’s offerings.

- Atlassian supports flexible work options—office, home, or a mix—and hires globally, with interviews and onboarding conducted virtually as part of its distributed-first approach. - The company is seeking a Senior Product Marketing Manager to join the AI Marketing team and lead adoption and momentum for Rovo, its flagship AI product. - The PMM will sit at the center of product, marketing, and growth, driving strategy, informing onboarding and roadmap, and unlocking adoption through customer insights and data. - Responsibilities include roadmap strategy (voice of the customer, collaboration with PM and Design), adoption and growth (activation and retention programs), positioning and messaging, conversion optimization, and go-to-market planning. - The role requires cross-functional collaboration with Product, Analytics, Design, Growth, and Sales to align goals and create cohesive customer experiences.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The company is seeking a Senior Product Marketing Manager to join the AI Marketing team to shape the adoption and momentum of Rovo, Atlassian’s flagship AI product. The PMM will sit at the center of product, marketing, and growth, owning product performance and funnels while partnering with Product to influence strategy and drive customer value and growth. They’ll shape go-to-market with a data-driven focus on conversion, experimentation, and storytelling that connects users to product value, and will lead roadmaps, onboarding, and growth initiatives. Key responsibilities include informing the product roadmap from the customer voice; owning adoption, activation, and retention strategy; developing positioning and messaging; optimizing conversion; planning cross-functional go-to-market campaigns; and collaborating with Product, Analytics, Design, Growth, and Sales to deliver cohesive customer experiences.

Atlassian offers flexible work options, letting Atlassians work in-office, from home, or a mix to support personal priorities. They hire people in any country where the company has a legal entity. The Senior Enterprise Delivery Manager leads large, complex cloud migrations for Atlassian’s top customers, acting as a strategic advisor and technical consultant to decision-makers. The role collaborates with cross-functional teams—Sales, Solutions, Support, Product Management, Channel Partners, and Engineering—to guide architectural decisions, risk mitigation, performance guardrails, and adoption planning, blending business acumen with technical fluency. Responsibilities include end-to-end migration strategy, risk readiness and remediation, technical architecture around APIs and automation, serving as a trusted advisor to senior leadership, governing the migration lifecycle from discovery to go-live, and maintaining stakeholder communications and industry insights to drive innovative cloud solutions.

Atlassian offers flexible work locations (office, home, or a mix) and hires in any country where it has a legal entity. The Senior Enterprise Delivery Manager leads large, complex customer cloud migrations, acting as a strategic advisor and technical consultant to decision-makers while coordinating across Sales, Solutions, Support, Product Management, Channel Partners, and Engineering. The role requires a blend of business acumen and technical fluency, with deep expertise in cloud strategy, data movement, system integration, and AI adoption, plus the ability to identify challenges and drive effective solutions. Responsibilities include end-to-end migration strategy, risk readiness and remediation, technical architecture around APIs and automation, and disciplined governance of the migration lifecycle from discovery to go-live, with strong stakeholder management and accountability. The position also emphasizes staying ahead of industry trends, serving as a trusted advisor to senior leadership, managing escalations, and proposing innovative solutions to business challenges.

Atlassian offers flexible work options—office, remote, or hybrid—and operates as a distributed-first company with globally hireable talent, conducting interviews and onboarding virtually. Teamwork Collection (TWC) is a suite of connected Atlassian apps and platform experiences, including Jira, Confluence, Loom, and Rovo, designed to connect projects to goals and enable cross-team collaboration. The Principal Product Marketing Manager role partners with product and sales to develop roadmaps and execute go-to-market strategies that showcase the combined value of Jira, Confluence, Loom, Rovo, and the Atlassian platform in a single solution. The role emphasizes differentiating, value-based messaging for executive audiences, aligning it across channels, and crafting GTM strategies for enterprise buyers and knowledge workers, supported by market, competitive, and user research. Other responsibilities include driving customer advocacy, activation programs for major accounts, and mentoring junior PMMs to advance best practices within the team.

At Atlassian, employees can work from anywhere and the company hires globally with virtual interviews and onboarding as part of its distributed-first approach. Teamwork Collection brings together Jira, Confluence, Loom, Rovo, and the Atlassian platform to help organizations connect projects to goals, plan and track work, and improve cross-team collaboration. The Principal Product Marketing Manager will partner with product and sales leaders to develop roadmaps and execute go-to-market strategies that present Teamwork Collection as a single, integrated solution. Responsibilities include differentiated messaging for executive audiences, enterprise GTM planning, market/competitive/user research, customer advocacy, activation programs, and mentoring other PMMs. The role also involves shaping pricing and packaging, coordinating cross-channel messaging, engaging with analysts and press, leveraging executive customer stories, and advancing best-practice development across the team.

At Atlassian, employees can work in an office, from home, or a hybrid arrangement, and the company hires globally where it has a legal entity. Atlassian is hiring a senior finance leader to oversee FP&A for G&A, Workforce Planning, and a Finance Center of Excellence, reporting to the Head of Corporate Finance and Procurement. The role will lead FP&A across corporate functions (HR, Legal, and Finance), partnering with executive leadership to shape multi-year headcount models, strengthen forecasting and close processes, and provide executive-ready decision support. It emphasizes scalable, data-driven planning and continuous improvement, including expanding an offshore Center of Excellence and advancing automation and controls. The responsibilities include building and mentoring a global FP&A team, owning headcount planning and workforce costs with compensation leadership, delivering clear narratives to enable fast, high-quality decisions in a high-growth SaaS environment, and fostering cross-functional alignment with HR, Legal, and Finance.

Atlassian offers flexible work options and hires globally wherever it has a legal entity. The company is hiring a senior finance leader to oversee FP&A for G&A, workforce planning, and the Finance Center of Excellence, reporting to the Head of Corporate Finance and Procurement. This role will lead FP&A across corporate functions (HR, Legal, and Finance), partner with executives to shape multi-year headcount operating models, and strengthen forecasting, close processes, and decision support for the C-suite. Responsibilities include building and mentoring a global FP&A team, owning headcount planning with compensation leadership, driving process excellence in forecast, close, and investment prioritization, and scaling planning tooling and data-driven insights. The leader will foster cross-functional alignment with HR, Legal, and Finance, influence senior stakeholders, and deliver executive-ready narratives to enable fast decisions in a high-growth SaaS environment.

Atlassian lets employees choose where to work—office, home, or a mix—and hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of being a distributed-first company. It’s seeking a Portuguese-fluent Pre-Sales Solutions Engineer for SMBs (under 1,000 employees) to be a solution expert during the sales cycle and help close deals, with Spanish as a strong plus for LATAM connectivity. The role supports Atlassian’s expansion across Latin America, partnering with customers across the region to capture the LATAM growth opportunity and emphasis on value-based selling. Responsibilities include partnering with direct sales, partners, and account teams, conducting customer discovery, identifying cross-product opportunities, acting as a product expert, leading compelling demos, and guiding customers’ technical needs to gain buy-in. Additional duties involve documenting product feedback and competitive intelligence, maintaining and improving the sales process, and continuously learning about product, solutions, and platform offerings.

Atlassian supports flexible work location—office, remote, or hybrid—and hires globally where it has a legal entity, with interviews and onboarding conducted virtually as part of being a distributed-first company. The company is seeking a Portuguese-fluent Pre-Sales Solutions Engineer for SMB (under 1000 employees) to drive solution expertise in the LATAM sales cycle and help close deals, with Spanish being a plus. The role is part of a team expanding across Latin America, partnering with customers across the region to capture growth, and it emphasizes value selling and a team-focused culture. Responsibilities include partnering with direct sales and SMB sellers, conducting customer discovery to map problems to Atlassian products, identifying cross-sell opportunities, leading compelling value-based demos, and guiding customers’ technical needs. Additional duties involve gathering product feedback and competitive intelligence, staying current on pre-sales and product knowledge, and continuously learning to improve processes and offerings.

Atlassian supports flexible work locations (office, home, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The role is for a Portuguese-fluent Pre-Sales Solutions Engineer in Atlassian's SMB segment (customers under 1,000 employees) to drive expansion across Latin America, with Spanish as a strong plus. You will join the Solutions Engineering team to partner with direct sales, partners, and larger account teams—operating with Atlassian's value-selling approach and the “play as a team” culture—to understand customer problems, map them to Atlassian products, and identify cross-product opportunities. You will lead value-based demonstrations, articulate how Atlassian’s offerings work together, and guide the customer’s technical needs to gain buy-in, while building strong partnerships with aligned SMB sellers and maintaining the pipeline. You will also collect product feedback and competitive intelligence for internal advocacy, and continually learn to refine pre-sales, product, and sales processes.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires in any country with a legal entity, with virtual interviews and onboarding as part of its distributed-first model. The company is seeking a Portuguese-fluent Pre-Sales Solutions Engineer for SMB customers (under 1000 employees) to be a solution expert in the sales cycle, solve customer problems with its products, and help close deals, with Portuguese required and Spanish a plus. The role supports Atlassian's rapid expansion across Latin America, partnering with customers throughout LATAM and capitalizing on growth opportunities in cloud and AI, guided by a value-selling culture and a teamwork ethos. Responsibilities include collaborating with direct sales, partners, and SMB account teams to understand customer profiles and problems, conduct discovery, map needs to Atlassian products, deliver compelling value-based demos, and guide the technical aspects to gain buy-in. Additionally, the role involves identifying cross-product opportunities, working with SMB sellers on pipeline, documenting product feedback and competitive intelligence, and continuously learning about pre-sales processes, solutions, and product offerings.

- Atlassian enables flexible work arrangements (office, home, or hybrid) and hires in any country with a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. - The company is hiring a Portuguese-fluent Pre-Sales Solutions Engineer for its SMB business (customers under 1000 employees) to be a solutions expert throughout the sales cycle and help close deals, with a focus on expanding across LATAM; Spanish is a plus. - The role sits in a team that emphasizes value selling and a “play as a team” culture, aiming to help customers realize outcomes using Atlassian's products, with strong earnings potential and growth in cloud and AI offerings. - Responsibilities include partnering with direct sales, partners, and larger account teams to understand customer profiles and problems, map them to Atlassian products, identify cross-sell opportunities, and lead compelling value-based demos. - Additional duties involve guiding customers' technical needs, obtaining buy-in for Atlassian as the right decision, sustaining partnerships with SMB sellers, documenting product feedback and competitive intelligence, and continuously learning to improve pre-sales and product knowledge.

Atlassian supports flexible work options, allowing Atlassians to work from an office, from home, or a hybrid, to better align with personal priorities. They hire in any country where they have a legal entity, and interviews and onboarding are conducted virtually as part of their distributed-first approach. The company’s office is in Bengaluru, with eligible candidates also able to work remotely across India. The principal engineer is an experienced back-end expert who serves as a role model and mentor, shouldering high responsibility and guiding junior team members. The role involves tackling the largest and most complex problems from design to launch, delivering cross-team solutions, shaping architecture standards, leading code reviews and high-risk fixes, collaborating on company-wide initiatives, and transferring knowledge to help others grow.

Atlassian offers flexible, distributed-first work arrangements, allowing employees to work from home, in an office, or hybrid to balance personal goals and priorities. They hire people in any country with a legal entity, conduct interviews and onboarding virtually, and although the Bengaluru office exists, eligible candidates can work remotely across India. The principal engineer role targets a senior, expert engineer who mentors others and shares extensive experience across backend technologies. Responsibilities include tackling large, complex problems from design to launch, planning major projects, solving architecture challenges, and applying architectural standards to new work. Additional duties involve leading code reviews and documentation, addressing high-risk bug fixes, collaborating across engineering teams on company-wide initiatives, and mentoring junior engineers while transferring knowledge across languages.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country where the company has a legal entity to help employees balance family, personal goals, and other priorities. The ACE team is tasked with unlocking the potential of every Atlassian team by delivering advanced technology, AI/ML-powered solutions, and enterprise-grade data solutions that drive growth across finance, commerce, people, and workplace domains. As a Technical Program Manager on the ACE team, you will define and manage technical program goals and success metrics, understand business challenges, shape technical requirements, and collaborate with stakeholders to develop comprehensive solutions. You will use technical knowledge to understand product architecture, identify risks, coordinate mitigations, create and communicate delivery plans, and ensure successful project completion while balancing speed and risk. You will translate business objectives into technical requirements, partner with engineers and architects, manage complex dependencies across the company, drive data-driven decisions, champion change, and promote adoption of best practices in projects you work on.

Atlassian offers flexible work options—office, home, or a hybrid model—and hires in any country where they have a legal entity. The ACE team aims to unlock every Atlassian team’s potential by delivering advanced technology and solutions that enable data-driven decision making, including AI/ML and other cutting-edge technologies. As a Technical Program Manager on the ACE team, you define and manage technical program goals and success metrics, translate business challenges into technical requirements, and collaborate with stakeholders to develop comprehensive solutions. You’ll leverage knowledge of product architecture to identify risks and mitigations, create project plans, communicate status to stakeholders, manage execution risk, and ensure successful delivery. You’ll also champion change, drive adoption of best practices, and manage complex dependencies across the company to balance speed of delivery with impact.

Atlassians can choose where they work—office, home, or a hybrid—and this flexibility supports family priorities and personal goals, with hiring possible in any country where Atlassian has a legal entity. The role involves collaborating with peers in Advisory Services to align on strategic outcomes and partnering with customers to solve business challenges using Atlassian products, practices, and solutions. You will identify opportunities for service and product expansion within a client’s organization, cultivate deep industry and solution expertise, and lead complex customer engagements using a System of Work approach across multiple Atlassian solution areas. You’ll drive global internal initiatives that positively influence Advisory Services and partner organizations, delegate effectively to Solution Consultants while owning client outcomes, and develop comprehensive technical solution content and tailored enablement. Finally, you will engage across Atlassian to foster advocacy and innovation for large enterprise customers and may travel up to 30% of your time domestically or internationally for internal and customer-facing events.

At Atlassian, you can work from an office, from home, or a hybrid setup, and the company hires in any country where it has a legal entity, giving you flexibility to balance personal priorities. You’ll collaborate with Advisory Services to align on strategic outcomes, partner with customers to solve business challenges using Atlassian products and solutions, and identify opportunities for service and product expansion within a client’s organization. You’ll cultivate industry and solution expertise, stay current with best practices, and lead complex customer engagements using a System of Work approach, while delegating to Solution Consultants and maintaining ownership of client outcomes. You’ll develop innovative technical content and tailored enablement to boost your team’s ability to drive customer success and advocate for enterprise customers across Atlassian. Expect travel up to 30% of your time domestically, and sometimes internationally, for internal and customer-facing events.

Atlassian lets employees choose their work location—office, home, or a mix—and supports hiring globally with virtual interviews and onboarding as part of a distributed-first approach. A seismic shift is underway as AI systems and agents become a core part of team workflows. The Senior Product Manager on the Jira AI team will lead the transformation of Jira to enable humans working with agents, collaborating with design, research, engineering, and data science. Responsibilities include driving strategy and roadmap to embed intelligent agents in Jira, leading cross-functional teams, aligning Jira features for coherence, and partnering with platform teams on agent frameworks. They will prioritize and ship features with measurable impact, leverage customer insights, stay ahead of AI trends, and communicate clearly with stakeholders and executives.

Atlassians can choose where they work—office, home, or a mix—and the company hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of being distributed-first. There is a seismic shift in how work gets done as AI systems and agents become core to team workflows, and as a Senior Product Manager on the Jira AI team you’ll help transform Jira to enable humans-to-agents collaboration. You’ll partner with design, research, engineering, and data science to build intuitive, first-of-its-kind AI experiences, iterate quickly with customers, and scale what works. You’ll drive the strategy and roadmap to embed intelligent agents in Jira, lead cross-functional teams, align Jira and platform partners on agent frameworks, and prioritize features that move key metrics. You’ll stay close to customers, translate emerging AI trends into Jira innovation, surface real pain points, and communicate with influence to deliver production-ready agentic features used by millions of Jira users worldwide.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The role requires staying current on AI and Search innovations and partnering with engineering to translate them into practical platform evolution that benefits customers. You’ll analyze business objectives, customer needs, product adoption inhibitors and opportunities, and industry trends to collaboratively define a long-term strategic roadmap for platform components. You’ll translate business goals into technical problems, create programs and action plans (such as capacity planning, migrations, high availability, network architecture, performance, and reliability improvements), and influence engineers and architects to progress these initiatives. You’ll apply a systematic engineering approach, be accountable for the full lifecycle (initiation through forecasting, budgeting, and scheduling), and manage complex, company-wide dependencies and projects.

At Atlassian, employees can work from an office, from home, or a mix, and the company hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of its distributed-first approach. The role involves staying up-to-date on AI and Search innovations and partnering with engineering to translate these into practical platform evolution that delivers value to customers. You’ll analyze business objectives, customer needs, product adoption inhibitors and opportunities, and industry trends, then work with stakeholders to define a long-term strategy and roadmap for platform and product components. You’ll translate business goals into technical system problems, define specific programs, and create action plans around areas like capacity planning, migrations, high availability, network architecture, performance optimization, and reliability improvements, collaborating with engineers and architects to make progress. You’ll take a systematic approach to engineering problems—prioritizing tasks, scoping projects, defining objectives, and driving progress—while managing the full lifecycle and complex dependencies across the company to ensure program success.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The company emphasizes staying up-to-date on AI and Search innovations and partnering with engineering teams to translate them into practical platform evolution that benefits customers. The role involves analyzing business objectives, customer needs, product adoption inhibitors and opportunities, and industry trends to define a long-term strategy and roadmap for platform and product components in collaboration with stakeholders. It requires translating business objectives into technical systems problems, defining specific programs (capacity planning, migrations, high availability, network architecture, performance optimization, reliability improvements, etc.) and creating action plans, using technical understanding to influence engineers and architects. You must use a systematic approach to engineering problems—prioritizing tasks, scoping projects, defining objectives, and making consistent progress—and be accountable for the full lifecycle of technical programs, including initiation, forecasting, budgeting, scheduling, and managing broad dependencies across the company.

Atlassian offers flexible work options—office, home, or hybrid—and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. Employees are expected to stay up-to-date on AI and Search innovations and work closely with engineering to translate these into practical platform evolution that delivers value to customers. The role involves analyzing business objectives, customer needs, adoption inhibitors and opportunities, and industry trends to define a long-term strategy and roadmap for platform and product components in collaboration with stakeholders. It requires translating business objectives into technical problems, defining specific programs and an action plan—covering capacity planning, migrations, high availability, network architecture, performance optimization, reliability—and using technical knowledge to influence engineers and architects. Responsibilities include a systematic approach to engineering, prioritizing tasks, and managing the full lifecycle of technical programs from initiation to forecasting and budgeting, while handling complex dependencies across the company.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally, with virtual interviews and onboarding as part of its distributed-first approach. The role requires staying current with AI and Search innovations and partnering with engineering to translate them into practical platform evolution that delivers value to customers. It involves analyzing business objectives, customer needs, adoption inhibitors and opportunities, and industry trends to collaboratively define a long-term platform and product roadmap. You translate business objectives into technical problems, define specific programs (capacity planning, migration, high availability, network architecture, performance, reliability), and create action plans to realize them. You’ll influence engineers with your technical understanding, take a systematic approach to engineering problems, and be accountable for the full lifecycle—from initiation and forecasting to budgeting, scheduling, and managing broad, cross-company dependencies.

Atlassian supports flexible work options (office, home, or hybrid) and hires in any country with a legal entity, giving employees more control over family and personal priorities. The Senior HRBP Program Manager role sits in the People Programs team and partners with HRBPs who support the General & Admin and ACE organizations. Responsibilities include delivering end-to-end strategic People programs—from targeted interventions for specific teams or manager cohorts to large, function-wide change initiatives—with clear objectives, strong execution, and measurable impact. The role focuses on optimizing HRBP-related processes, leveraging data and insights to prioritize work, measure program effectiveness, and drive data-driven actions, and it requires influencing stakeholders to gain buy-in and adoption. It also entails enabling HRBPs through training and resources, developing scalable playbooks and programs to elevate HRBP effectiveness, and bringing proven HR program management experience and change management passion to drive business success.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Senior HRBP Program Manager is part of the People Programs team and works with HRBPs supporting General & Admin and ACE teams. The role delivers strategic people programs end-to-end, from targeted interventions to large-scale changes, with clear objectives, strong execution, and measurable impact. It also aims to optimize HRBP-related processes, leverage data and insights to guide actions, influence stakeholders, enable HRBPs through training, and develop scalable playbooks and programs. The ideal candidate has proven HR program management experience across multiple specialties, deep HRBP knowledge, experience in large international organizations, and a passion for driving business success through HR and change management.

Atlassian offers flexible work options—office, home, or hybrid—and hires in every country where the company has a legal entity, helping employees balance family, personal goals, and priorities. The Atlassian Corporate Engineering (ACE) team builds advanced technology and solutions to empower Atlassian teams, including AI/ML-driven features, GTM and Fintech solutions, and enterprise-grade processes across finance, commerce, people, and workplace domains. As a Technical Program Manager on the ACE team, you will define the technical strategy for quote-to-cash business products, create a long-term vision and roadmap, and build consensus with partners to drive cross-organizational programs. You will influence architecture, translate requirements into actionable goals for engineering, lead end-to-end delivery of complex programs, and define and track metrics for quality and performance across multiple teams. Qualifications include 8+ years on software teams as a Development Manager or TPM, the ability to translate business objectives into technical problems, understanding of system flows, architectures, and APIs (coding not required), experience leading end-to-end programs, strong leadership and communication skills, and a preferred BS in Software Engineering, Computer Science, or a related technical discipline.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The Atlassian Corporate Engineering (ACE) team delivers advanced technology, including AI/ML features, GTM and Fintech solutions, to enable enterprise-grade capabilities across finance, commerce, people, and workplace domains. As a Technical Program Manager on the ACE team reporting to the Head of TPM, you will define the product and program technical strategy for quote-to-cash business products and create a long-term vision and roadmap, building consensus with partners. You will provide technical leadership for end-to-end delivery of complex programs across multiple teams, influence architecture, and define metrics for quality and performance across cross-organizational initiatives. Minimum qualifications include 8+ years of experience on software teams as a Development Manager or TPM, the ability to translate business objectives into technical problems, domain knowledge in quote-to-cash, understanding of system flows and APIs, and strong leadership; TPMs need not code, but should understand the systems, with preferred qualifications including a BS in Software Engineering or Computer Science.

Atlassian supports flexible work locations and hires globally, with interviews and onboarding conducted virtually as part of being a distributed-first company. The Central AI team aims to accelerate AI innovation by building core infrastructure, capabilities, and experiences, with a focus on conversational AI that leverages customers’ work and organizational knowledge and an emphasis on early exploration and customer research. As Principal Product Manager for AI Quality in Central AI, you will shape and execute Atlassian’s vision for high-quality AI products, including Rovo, and ensure superior quality experiences for AI-driven offerings. Key responsibilities include defining the strategic vision and roadmap for AI quality, driving initiatives to improve model quality, reliability, and trust, and aligning with organizational goals and user expectations. You will collaborate cross-functionally with engineering, data science, product, and design; maintain a customer-centric approach through deep user insights and feedback; and communicate progress with compelling narratives to customers, stakeholders, and the broader community, highlighting advances in search relevance and quality.

Atlassian supports flexible work arrangements—office, home, or a mix—and hires globally with virtual interviews and onboarding as part of a distributed-first approach. The Central AI team aims to accelerate AI innovation by building core infrastructure, capabilities, and experiences, with a focus on conversational AI that leverages Atlassian’s knowledge of customers’ work. They are in early stages, emphasizing exploration, experimentation, and hypothesis validation through customer research to figure out the right solutions. As Principal Product Manager for AI Quality in Central AI, you will help shape and execute Atlassian’s vision for high-quality AI products, including Rovo, ensuring superior quality experiences underpin AI-driven offerings. Key responsibilities include defining the strategic vision and roadmap for AI quality, leading initiatives to improve AI model quality and reliability, collaborating across engineering, data science, product, and design, maintaining a customer-centric approach, and communicating progress to customers and stakeholders—including Atlassian’s advancements in search relevance and quality.

Atlassian supports flexible work locations—office, remote, or hybrid—and hires globally where we have a legal entity, with interviews and onboarding conducted virtually as part of being a distributed-first company. The Central AI team’s mission is to accelerate AI innovation by building core infrastructure, capabilities, and experiences, focusing on conversational AI that leverages Atlassian’s understanding of customers’ work and organizational knowledge, and it remains in early exploration. As the Principal Product Manager for AI Quality in Central AI, you’ll shape and execute Atlassian’s vision for delivering high-quality AI products, including Rovo, prioritizing superior quality experiences for AI-driven products. Key responsibilities include defining the strategic vision and roadmap for AI quality, leading initiatives to improve quality, reliability, and trustworthiness of AI models and experiences, and ensuring alignment with organizational goals and user expectations. You’ll also partner with engineering, data science, product, and design; maintain a customer-centric approach to identify gaps and validate enhancements; and craft compelling narratives to communicate progress to customers, stakeholders, and the broader community, highlighting Atlassian’s advances in search relevance and quality.

Atlassians can choose to work in an office, from home, or a mix, giving them control over family and personal priorities, with interviews and onboarding conducted virtually as part of a distributed-first approach. Atlassian hires people in any country where they have a legal entity. The Central AI team aims to accelerate AI innovation by building core infrastructure, capabilities, and experiences, with a focus on conversational AI that leverages Atlassian’s understanding of customers’ work and organizational knowledge, and the work is still in early stages with exploration and customer-research-backed validation. As Principal Product Manager for AI Quality in Central AI, you will shape and execute Atlassian’s vision for delivering high-quality AI products, including Rovo, emphasizing superior quality experiences that underlie AI-driven products and solutions. Key responsibilities include defining the strategic vision and roadmap for AI quality, driving improvements in model quality and trustworthiness, collaborating across engineering, data science, product, and design, maintaining a customer-centric focus, and communicating progress to customers, stakeholders, and the broader community about search relevance and quality.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity, enabling Atlassians to prioritize family, personal goals, and other priorities. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and collaborating with top organizations to tackle real-world problems in a high-visibility role shaping the future of AI-powered teamwork. You will lead the design, development, and deployment of AI/ML solutions tailored to customer needs, leveraging TensorFlow, PyTorch, LangChain, and LlamaIndex, and architect integrations using Python or JavaScript across APIs and microservices. You’ll drive data-driven development, champion AI-augmented workflow automation, oversee end-to-end production deployment with monitoring, and navigate AI risk assessment, GDPR data privacy, and regulatory requirements. You will mentor junior engineers, clearly communicate complex concepts to technical and non-technical stakeholders, and align technical solutions with business objectives by setting a clear vision and measurable results.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity, supporting family, personal goals, and priorities. The Principal Forward Deployed Engineer (FDE) role places you at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and tangible business outcomes. The position leads the design, development, and deployment of AI/ML solutions using frameworks such as TensorFlow, PyTorch, and agent platforms like LangChain and LlamaIndex, while building robust integrations with Python or JavaScript for APIs and enterprise systems. Responsibilities include data-driven solution development, championing AI-augmented workflow automation, end-to-end deployment with monitoring, navigating AI risk and data privacy (GDPR) and regulatory compliance, and mentoring junior engineers while communicating complex concepts to technical and non-technical stakeholders. The role requires aligning technical solutions with business objectives, setting a clear vision, and achieving measurable results in a high-visibility, fast-paced environment.

Atlassian offers flexible work locations (office, home, or hybrid) and hires people in any country with a legal entity. As a Principal Forward Deployed Engineer (FDE), you'll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver AI-powered solutions. The FDE team collaborates with top organizations across industries to help them leverage Atlassian’s AI capabilities and solve real-world problems, while you grow technically and impact business outcomes. In this high-visibility role, you will lead design, development, and deployment of AI/ML solutions, architect integrations, drive data-driven insights, promote AI-augmented workflow automation, and oversee end-to-end production deployment with monitoring and improvement. You will also navigate risk and compliance (AI risk assessment, GDPR, regulatory frameworks), mentor junior engineers, and clearly communicate technical concepts to stakeholders while aligning solutions with business objectives and measurable results.

Atlassian offers flexible work locations—office, home, or a hybrid—and hires in any country with a legal entity to support personal goals and family. The Principal Forward Deployed Engineer (FDE) role puts you at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and shape the future of AI-powered teamwork, in a high-visibility, high-impact setting. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities to solve real-world problems, collaborating with product, engineering, and design to achieve tangible business outcomes. Responsibilities include leading the end-to-end design, development, and deployment of AI/ML solutions (using frameworks like TensorFlow and PyTorch, and agent-based platforms such as LangChain and LlamaIndex), building robust integrations (Python/JavaScript, APIs, microservices), driving data-driven insights, promoting AI-augmented workflow automation, and managing production deployment and compliance (including GDPR). You’ll also mentor junior engineers, foster a culture of innovation, and communicate complex technical concepts to technical and non-technical stakeholders to align solutions with business objectives and measurable results.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country where they have a legal entity to support employees' personal goals and priorities. As a Principal Forward Deployed Engineer (FDE), you'll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and develop deep technical and domain expertise with tangible business impact. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities to solve real-world problems, in a high-visibility, high-impact role for those who thrive in fast-paced, ambiguous environments. Your responsibilities include leading the design, development, and deployment of AI/ML-powered solutions using TensorFlow, PyTorch, and agent-based platforms like LangChain and LlamaIndex, plus architecting robust integrations with Python/JavaScript for APIs and enterprise-scale systems, and driving data-driven insights. You will oversee end-to-end deployment, navigate AI risk and compliance (including GDPR), mentor junior engineers, and communicate complex technical concepts clearly to stakeholders, ensuring solutions align with business objectives and measurable results.

At Atlassian, employees can work from the office, home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions that drive business outcomes. You’ll lead the design, development, and deployment of AI/ML solutions using frameworks like TensorFlow and PyTorch and build robust enterprise integrations with Python, JavaScript, and microservices. You’ll drive data-driven solution development, champion AI-augmented workflow automation, oversee end-to-end production deployment, and navigate AI risk, data privacy, and regulatory requirements. You’ll mentor junior engineers, communicate complex concepts clearly to technical and non-technical stakeholders, and align technical initiatives with business objectives to set a clear vision and measurable results.

Atlassian offers flexible work options and hires globally where it has a legal entity. The Principal Enterprise Delivery Manager leads Atlassian’s largest, most complex cloud migrations, acting as a strategic advisor and technical consultant to senior customer leaders while owning delivery and governance. The role blends business acumen with technical fluency and requires collaboration with cross-functional teams—Sales, Solutions, Support, Product Management, Channel Partners, and Engineering—to navigate architecture, risk, performance guardrails, and adoption planning. Core responsibilities include end-to-end migration strategy, risk management, technical architecture, trusted advisorship, delivery excellence, accountability, stakeholder and escalation management, and team leadership, all grounded in data-driven decision-making and industry insight (including AI adoption). The position emphasizes staying ahead of industry trends and proposing innovative, practical solutions to help Atlassian’s strategic customers successfully move to the Cloud.

Atlassians can choose where they work—office, home, or a hybrid—giving them greater control over family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The Principal Enterprise Delivery Manager leads Atlassian’s largest, most complex cloud migrations, acting as a trusted strategic advisor and technical consultant to senior customer decision-makers while guiding the delivery and governance of the migration. The role requires business acumen and technical fluency and involves coordinating with cross-functional teams—Sales, Solutions, Support, Product Management, Channel Partners, and Engineering—to navigate architectural decisions, risk mitigation, performance guardrails, and adoption planning, including AI features. Responsibilities include end-to-end migration strategy, risk management, technical architecture, trusted-advisor leadership, delivery excellence, accountability, stakeholder and escalation management, team leadership, and ongoing industry insight and data-driven decision making to guide customers to Cloud adoption.

Atlassian supports a distributed-first approach, letting employees work in offices, from home, or hybrid, with global hiring and virtual interviews and onboarding. The company’s software helps teams organize, discuss, and complete work, including Jira Software, Confluence, and Jira Service Management, used by the Fortune 500 and 300,000+ companies worldwide. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, pursues cross-sell and expansion, nurtures relationships, and hits revenue targets, while acting as advocates for customers to feed feedback to product and engineering. All work is done in close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, as Atlassian guides customers to deploy and utilize their tools at scale, guided by Atlassian values and the evolving sales model. Leadership emphasizes growth and transformational leadership, driving multi-million-dollar revenue growth, building high-performance teams, delivering predictable and compliant results, and inspiring a culture where sellers feel valued and empowered.

Atlassian supports flexible, distributed-first work with options to work in an office, from home, or a mix, and hires globally with virtual interviews and onboarding. The company’s products—Jira Software, Confluence, and Jira Service Management—help teams collaborate, and its solutions are used by Fortune 500 firms and organizations like NASA, Audi, and Deutsche Bank. The Mid-Market sales team manages mid-sized customers, identifying cloud-first opportunities, cross-sell and expansion opportunities, nurturing relationships, achieving revenue targets, and advocating for customers by feeding feedback to product and engineering, in collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. The role emphasizes guiding customers in deployment and utilization of Atlassian at scale, aligned with the company’s values and evolving sales model. Leadership focuses on Growth and Transformational Leadership—building high-performance teams, delivering multi-million-dollar revenue growth, accelerating execution through Business Excellence, and inspiring a culture where sellers feel valued, engaged, and empowered to help customers and the enterprise succeed.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires globally in any country where they have a legal entity. They are seeking a Global Demand Campaigns Manager to plan, execute, and optimize end-to-end, multi-channel demand generation programs, partnering with Product Marketing, Sales, Analytics, and Regional Marketing to deliver persona-based programs that improve pipeline and conversion velocity. The role sits on the Global Demand Campaigns Team, which runs high-impact, persona-led campaigns, pilots new tactics at scale, and enables regional teams. Responsibilities include macro and micro-segmentation, distribution strategies, data-driven optimization across channels (email, in-product, web personalization, paid media, content syndication, events), expanding distribution, managing vendor relationships, and coordinating with Sales and Product Marketing to meet quarterly pipeline goals. Qualifications include 7+ years in B2B demand generation, global multi-channel campaign experience, familiarity with high-touch sales and low-touch motions, strong analytics and marketing automation/CRM proficiency (Eloqua, Marketo, HubSpot, Salesforce), excellent program management and communication skills, and a bachelor’s degree, with preferred experience in SaaS/tech, ABM, international audiences, and fast-paced distributed environments.

Atlassian offers flexible work locations—employees can work from an office, from home, or a blend of the two—and hires are allowed in any country where Atlassian has a legal entity to support family goals and other priorities. The Global Demand Campaigns Manager role plans, executes, and optimizes end-to-end multi-channel demand generation programs for the Global Demand Campaigns Team, collaborating with Product Marketing, Sales, Analytics, and Regional Marketing to design persona-based programs that improve pipeline and conversion velocity. The Global Demand Campaigns Team runs high-impact, persona-led campaigns to generate awareness, engagement, and pipeline, focusing on cross-portfolio alignment, piloting new tactics at scale, and enabling regional teams. Responsibilities include macro and micro-segmentation, building distribution strategies, data-driven audience personalization, delivering integrated campaigns across email, in-product, web, paid media, content syndication, and events; expanding distribution with paid channels and partnerships; owning awareness, adoption, and retention campaigns; coordinating with Sales and Product Marketing for consistent messaging; measuring performance, and maintaining operational processes and project timelines. Qualifications include 7+ years in B2B demand generation, experience with global multi-channel campaigns and both high-touch and self-serve motions; strong analytics focus and proficiency with marketing automation and CRM tools (Eloqua, Marketo, HubSpot, Salesforce); excellent communication and cross-functional collaboration; Bachelor’s degree; with preferred experience in SaaS/tech marketing, ABM, adapting campaigns for international audiences, and thriving in a fast-paced distributed environment.

Atlassian offers flexible work locations (office, home, or hybrid) and can hire people in any country where it has a legal entity. The Global Demand Campaigns Manager role is to plan, execute, and optimize end-to-end multi-channel demand generation programs, collaborating with Product Marketing, Sales, Analytics, and Regional Marketing. The Global Demand Campaigns Team focuses on persona-led frameworks to generate awareness, engagement, and pipeline, using data-driven segmentation and scalable tactics. Responsibilities include building distribution strategies, launching and measuring campaigns across channels (email, in-product, web personalization, paid media, content, events), expanding paid channels, aligning with Sales and Product Marketing, and maintaining operational processes and reporting. Requirements include 7+ years in B2B demand generation, experience with global multi-channel campaigns and high-touch sales, strong analytics and marketing automation/CRM skills, and a bachelor’s degree; preferred qualifications include SaaS/tech marketing, ABM, regional adaptation, and comfort in a fast-paced distributed environment.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Global Demand Campaigns Manager role plans, executes, and optimizes end-to-end multi-channel demand generation programs for the GDC Team, partnering with Product Marketing, Sales, Analytics, and Regional Marketing to deliver persona-based programs that accelerate pipeline and conversion velocity. Responsibilities include segmentation, distribution strategy, data-driven audience targeting and funnel optimization, and integrated campaigns across email, in-product, web personalization, paid media, content syndication, and events, plus awareness/adoption/retention campaigns, alignment with sales and product marketing, coordination of timelines, post-mortems, and marketing automation use. Qualifications include 7+ years of B2B demand generation, global multi-channel campaign experience, experience with high-touch enterprise and mid-market sales, strong analytics and familiarity with marketing automation/CRM tools (Eloqua, Marketo, HubSpot, Salesforce), excellent communication, and a bachelor’s degree. Preferred qualifications include SaaS/tech marketing experience, familiarity with ABM and persona-based frameworks, ability to adapt campaigns for international audiences, and comfort in a fast-paced distributed work environment.

Atlassian supports flexible work locations and hires in any country where it has a legal entity, giving employees control over family, goals, and priorities. The Finance Director will modernize Sales Finance to deliver faster, sharper insights that drive growth and capital efficiency, focusing on transforming Revenue forecast frameworks and measuring ACV across Net New, Renewal, and Churn in partnership with GTM leaders. You will set the vision, architect scalable solutions, and lead cross-functional programs with governance and risk controls to improve forecast quality, operating cadence, and revenue performance transparency, delivering enterprise impact and establishing thought leadership. You will have final decision rights on forecasting methodologies, KPI definitions, and business rules, with responsibilities including designing, implementing, and scaling the revenue forecast framework and data-driven, driver-based models for ACV, Billing, and Revenue. Additional duties include improving forecast processes through a driver library with data lineage and confidence scores, and owning ACV performance frameworks and dashboards with standardized Net New, Expansion, Renewal, Contraction, and Churn definitions to guide pipeline, renewals, and territory decisions alongside Sales and Customer Success.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country where the company has a legal entity to support employees' family and personal priorities. The Finance Director role is to modernize Sales Finance, delivering faster, sharper, and more action-oriented insights by transforming the revenue forecast framework, end-to-end forecasting processes, and ACV evaluation across Net New, Renewal, and Churn. You will set the vision, architect scalable solutions, and lead cross-functional programs to improve forecast quality, cadence, and revenue transparency, while partnering with GTM leaders and influencing senior executives. The scope includes enterprise impact, thought leadership on sales billing forecasting and ACV measurement, and change leadership with governance, risk controls, and mentoring, with final decision rights on forecasting methodologies, KPI definitions, and business rules. Key responsibilities include designing and scaling the revenue forecast framework (ACV, Billing, Revenue), speeding and improving the forecast process with a driver library and data lineage, and owning the ACV performance framework with standardized Net New/Expansion/Renewal/Contraction/Churn definitions and actionable analytics in collaboration with Sales and Customer Success.

Atlassian offers flexible work locations—employees can work in an office, from home, or a mix, and the company can hire in any country where it has a legal entity. As Finance Director, you will be the senior leader accountable for transforming the Revenue forecast framework, uplifting end-to-end forecasting, and partnering with GTM leaders to evaluate ACV across Net New, Renewal, and Churn. You will set the vision, architect scalable solutions, and lead cross-functional programs that improve forecast quality, operating cadence, and revenue performance transparency. The role carries enterprise impact, thought leadership, and change leadership responsibilities, including defining the reference architecture for sales billing forecasting and ACV measurement, setting standards and governance, and acting as the final decision-maker for forecasting methodologies, KPIs, and business rules, while mentoring senior managers. Key responsibilities include redesigning the revenue forecast framework with data-driven models for ACV, Billing, and Revenue, speeding up forecast processes with a driver library and data lineage, owning ACV performance frameworks and dashboards, and collaborating with Sales and Customer Success on pipeline and renewal strategies to inform territory design, capacity planning, incentive adjustments, and investment shifts.

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. The Finance Director role is to modernize Sales Finance by delivering faster, sharper insights and transforming the revenue forecast framework, end-to-end forecasting, new sales entity strategies, and ACV evaluation across Net New, Renewal, and Churn in partnership with GTM leaders. The role will set the vision, architect scalable solutions, and lead cross-functional programs to improve forecast quality, operating cadence, and revenue transparency, with enterprise impact across Sales, FP&A, RevOps, Product, and Legal. It also entails thought leadership by defining the reference architecture for sales billing forecasting and ACV measurement, establishing standards and governance, and change leadership with sponsorship of cross-functional programs and mentorship, with final decision rights on forecasting methodologies, KPIs, and business rules. Key responsibilities include designing and scaling the revenue forecast framework with data- and driver-based models, speeding forecast processes with a driver library and data lineage, and owning the ACV performance framework and dashboards while standardizing Net New, Expansion, Renewal, Contraction, and Churn definitions and collaborating with Sales and Customer Success on pipeline and renewal strategies.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity, giving employees greater control over family and personal goals. The Finance Director will modernize Sales Finance to deliver faster, sharper, and more action-oriented insights that drive growth and capital efficiency, by transforming the Revenue forecast framework, uplifting end-to-end forecasting, shaping new sales entity strategies, and partnering with GTM leaders to evaluate ACV across Net New, Renewal, and Churn. The role sets the vision, architects scalable solutions, and leads cross-functional programs to materially improve forecast quality, operating cadence, and revenue performance transparency. Scope includes owning multi-year finance transformation outcomes tied to revenue, ACV, and forecast accuracy; providing thought leadership on the reference architecture for sales billing forecasting and ACV measurement; sponsoring change through governance and risk controls; and serving as the final decision-maker for Sales Finance forecasting methodologies, KPI definitions, and business rules. Key responsibilities include designing, implementing, and scaling the revenue forecast framework grounded in data and driver-based models; redesigning forecast processes with a driver library for transparency; and owning ACV performance frameworks and dashboards with standardized Net New, Expansion, Renewal, and Churn definitions, plus actionable cohort analytics in collaboration with Sales and Customer Success.

Atlassian is seeking an experienced commercial counsel to join its growing Commercial Legal team and support critical enterprise transformations, working closely with Sales on deals with enterprise customers in the U.S. and Canada. This is a remote, distributed-first role; Atlassians can work from office, home, or a mix, and the company hires in any country where it has a legal entity, with virtual interviews and onboarding. You will negotiate enterprise cloud agreements, partner with Sales to drive deals to execution, and provide pragmatic, business-minded guidance on customer requests and contract issues, avoiding purely academic analysis. You will also develop training materials for Sales on contract terms, assist with special projects to scale legal processes, and lead initiatives to scale both Legal and Sales functions across the quote-to-cash process. In the role, you’ll collaborate with Privacy, Trust, Finance, and Product teams to bring a legal perspective to cross-functional projects and drive strategic customer deals to execution.

Atlassian is seeking an experienced commercial counsel to join its Commercial Legal team to support enterprise transformations and close critical deals with enterprise customers in the U.S. and Canada. The position is remote and distributed-first, allowing flexible work locations and virtual interviews and onboarding for hires in any country where Atlassian has a legal entity. The role centers on negotiating enterprise cloud agreements, partnering with Sales to drive deals to execution, and providing pragmatic, business-minded guidance on customer requests and contract-related issues. It also involves developing support materials and trainings to educate Sales on contract terms and other legal issues, and assisting with special projects to scale legal processes. You will lead cross-functional programs to scale the Legal and Sales functions and drive strategic customer deals in collaboration with teams such as Privacy, Trust, Finance, and Product across the quote-to-cash process.

Atlassian is seeking an experienced commercial counsel to join its Commercial Legal team to support enterprise transformations and close critical deals for enterprise customers in the US and Canada. The role is remote and distributed-first; Atlassian allows work from an office, from home, or a combination, and hires in any country with a legal entity, with interviews and onboarding conducted virtually. You will negotiate enterprise cloud agreements with Sales, provide pragmatic, business-minded guidance on customer requests and contract issues, and develop training materials for Sales on contract terms. You will lead special projects to scale the Legal and Sales functions and bring a legal lens to cross-functional initiatives across the quote-to-cash process. You will drive strategic customer deals to execution by partnering with Sales and other teams (Privacy, Trust, Finance, Product), focusing on practical results rather than academic analysis.

- Atlassian offers flexible work options and is hiring from the UK, France, Germany, Poland, or the Netherlands, giving employees control to support family and personal goals. - Atlassian serves over 300,000 customers worldwide and aims to unleash every team's potential with software, emphasizing a culture of teamwork and shared wins, where employees work with Atlassian, not for Atlassian. - The company is integrating responsible AI into its cloud products and migrating customers to the cloud, focusing on cost transparency, faster collaboration, and stronger business outcomes while building a powerful sales strategy. - The role involves guiding the use of various products and services for high-value, strategically important customers, developing tailored strategies, nurturing senior-level relationships, identifying upsell opportunities, and collaborating with internal teams and partners to deliver solutions. - The ideal candidate has 10+ years in quota-carrying enterprise software sales, experience with multi-million dollar transformation deals, C-level engagement, complex procurement, leading territories and account teams, a proven track record, and fluency in Spanish and English.

- Atlassian offers flexible work options (office, home, or hybrid) and is hiring from the UK, France, Germany, Poland, or the Netherlands to serve over 300,000 customers worldwide. - The company aims to unleash every team’s potential with powerful software, drive exceptional customer impact, and ensure ongoing revenue growth, all while fostering a culture of “play as a team.” - Atlassian is leading responsible AI integration into cloud products to migrate customers to the cloud with transparent costs, faster collaboration, and accelerated business outcomes. - The role focuses on managing high-value customers, building relationships with decision-makers, identifying upsell/cross-sell opportunities, and coordinating with internal teams and partners to deliver solutions aligned with customer objectives. - The ideal candidate has 10+ years of quota-carrying enterprise software sales experience, a track record in large global accounts and C-level relationships, complex procurement navigation, and is fluent in Spanish and English.

At Atlassian, you can work in-office, from home, or in a hybrid setup, and the company is hiring for this role from the United Kingdom, France, Germany, Poland, or the Netherlands to support its 300,000+ customers and unleash the potential of every team. The company emphasizes a 'play as a team' culture, with employees working with Atlassian, not for Atlassian, as it leads responsible AI integration into cloud products to migrate customers with transparent costs and faster collaboration to accelerate outcomes. The role focuses on guiding the use of multiple products and services for Atlassian's most strategic, high-value customers, overseeing long-term goals, and developing customized growth strategies for mutual success. Responsibilities include nurturing relationships with key decision-makers, identifying upsell or cross-sell opportunities, and collaborating with internal teams, Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deliver solutions aligned with customer objectives. The ideal candidate has 10+ years of quota-carrying enterprise software sales experience, experience leading transformation deals in large global accounts with multi-million-dollar spends, proven C-level relationship-building, ability to navigate complex procurement, lead territory/strategic account plans and account teams, a track record of meeting targets, and fluency in Spanish and English.

Atlassian offers flexible work locations (office, home, or hybrid) and is hiring for this role from the UK, France, Germany, Poland, or the Netherlands, with a mission to unleash team potential worldwide and lead in AI-enabled cloud solutions, cloud migration, cost transparency, faster collaboration, and stronger customer outcomes. The role focuses on guiding the use of various products and services for Atlassian’s most important customers, managing high-value accounts, understanding their long-term goals, crafting customized growth strategies, and nurturing relationships with key decision-makers while identifying upsell opportunities. It requires collaboration with internal teams, Channel Partners, Product Specialists, Account Managers, and Solution Engineers to deliver solutions aligned with customer objectives, guided by Atlassian’s values and a customer-focused, team-oriented culture. Responsibilities include developing and executing strategic sales and account plans, understanding customer objectives, positioning solutions, streamlining sales processes, leading complex negotiations, conducting market research, staying informed on industry trends, and reporting sales performance to senior management with travel to events. The ideal candidate has 10+ years of quota-carrying enterprise software sales experience, a track record in multi-million-dollar transformation deals, C-level relationship-building, navigation of complex procurement, leading or coordinating account teams, and fluency in Spanish and English.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires in any country with a legal entity, including the UK and France for this role. The company serves over 250,000 customers worldwide, such as NASA, IBM, HubSpot, Samsung, and Coca‑Cola, and emphasizes value selling and a collaborative, “play as a team” culture. They are seeking a Pre-Sales Solutions Engineer for their SMB segment (enterprise customers under 1000 employees) to be a solution expert who helps solve customer problems and close deals, with a focus on cloud and AI offerings. The role involves partnering with direct sales, partners, and larger account teams; conducting customer discovery; mapping business needs to Atlassian products; leading compelling, multi-stakeholder demonstrations; and guiding technical requirements to secure buy-in. Additional responsibilities include forging strong SMB seller partnerships, collecting product feedback and competitive intelligence, and continually learning to refine pre-sales knowledge and processes.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country with a legal entity, with eligibility for this role in the UK or France. The company serves more than 250,000 customers worldwide, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, and emphasizes value selling to show how its products create enterprise solutions. They are looking for a Pre-Sales Solutions Engineer for SMB accounts (less than 1,000 employees) who can become a solution expert, solve complex business problems, and help close deals, with strong potential in cloud and AI. In this role you will partner with direct sales, partners, and larger account teams, conduct customer discovery, map business problems to Atlassian products, lead value-based demos, and guide stakeholders to buy-in. You will also identify cross-product opportunities, document product feedback and competitive intelligence, maintain broad knowledge of Atlassian’s offerings, and continuously learn and refine pre-sales processes.

Atlassian supports flexible work arrangements—office, remote, or a mix—and can hire anywhere there is a legal entity, including the UK or France for this role. With more than 250,000 customers worldwide, Atlassian works with organizations like NASA, IBM, HubSpot, Samsung, and Coca‑Cola, focusing on value selling to demonstrate how its products form enterprise solutions that transform outcomes. The company differentiates itself by the value of “play as a team,” supporting each other, celebrating wins, and sharing knowledge. Atlassian seeks a Pre-Sales Solutions Engineer for its SMB segment (customers under 1000 employees) who will be a solution expert in the sales cycle, help solve customers’ hardest problems with Atlassian products, and contribute to closing deals in a space with high earnings potential. Responsibilities include partnering with direct sales, partners, and larger account teams; conducting customer discovery; identifying cross‑product opportunities; demonstrating Atlassian’s value; understanding and guiding customer technical needs; building strong partnerships with SMB sellers; documenting product feedback; and continually improving knowledge and sales processes.

Atlassians can choose where they work—office, from home, or a combination of both. This flexibility helps them support family, personal goals, and other priorities. Atlassian hires people in any country where it has a legal entity, and the role includes collaborating with Advisory Services to align on strategic outcomes, partnering with customers to solve business challenges using Atlassian products, and identifying opportunities for service and product expansion within a client’s organization. The role requires cultivating deep industry and solution expertise, leading complex customer engagements with a System of Work approach, driving global internal initiatives, delegating to Solution Consultants while owning client outcomes, and developing comprehensive technical content and enablement. It also involves influencing engagement across Atlassian for large enterprise customers and traveling up to 30% of time domestically, and in some cases internationally.

Atlassians can choose where they work—office, from home, or a combination—and Atlassian hires in any country where we have a legal entity. They collaborate with peers in Advisory Services to align on strategic outcomes that deliver exceptional service to customers and partner with customers to help solve business challenges using Atlassian products, practices, and solutions. They identify and promote opportunities for service and product expansion within a client’s organization, cultivate deep industry and solution expertise, and lead complex customer engagements using a System of Work approach across multiple Atlassian solution areas. They drive global internal initiatives influencing Advisory Services and partner organizations, delegate effectively to Solution Consultants while retaining ownership of client outcomes, and develop comprehensive technical solution content with tailored enablement to enhance customer success. They reach into all parts of Atlassian to foster engagement, advocacy, and innovation for their largest enterprise customers, with up to 30% travel domestically and, in some cases, internationally, for internal and customer-facing events.

Atlassian supports flexible, distributed-first work arrangements, allowing employees to work in-office, from home, or in a hybrid setup, with virtual interviews and onboarding for hires worldwide where the company has a legal entity. The role is fully remote but requires you to be located in Türkiye. The company is looking for a Principal Engineer in the ML/AI domain to lead AI-powered products and platforms, focusing on AI Foundation (scalable infrastructure) and NextGen AI (cutting-edge applications). Responsibilities include defining the technical vision and roadmap, end-to-end ownership from prototyping to production, hands-on work in prompt engineering and training/inference, and collaborating across Product, Engineering, Data Science, and UX while driving platformization and AI adoption. The role also involves evaluating in-house versus third-party models, establishing best practices, and partnering with customer teams to solve product challenges and measure impact.

Atlassian supports distributed-first, flexible work (office, home, or hybrid) with virtual interviews and onboarding, and hires in any country where we have a legal entity; this role is fully remote but must be located in Türkiye. We’re seeking a Principal Engineer in ML/AI to drive AI-powered products and platforms, focusing on AI Foundation (scalable infrastructure) and NextGen (cutting-edge AI applications) across Atlassian’s product teams. The role demands strong technical leadership, balancing hands-on engineering with strategic decisions and cross-functional collaboration to deliver end-to-end AI solutions. Responsibilities include defining the technical vision and roadmap, owning projects from prototyping to production, doing hands-on work in prompt engineering and training/inference, and aligning with Product, Engineering, Data Science, and UX to achieve measurable impact. You’ll also drive platformization for scalability and reliability, partner with customer teams, explore state-of-the-art AI/ML techniques, evaluate in-house versus third-party solutions, and establish best practices for AI development, monitoring, and quality.

Atlassian is a distributed-first company offering flexible work locations and virtual interviews, and it hires in any country where it has a legal entity. Its Intern program combines hands-on technical training, professional growth, mentorship, and social connections to set students up for a successful career. The role described is located in San Francisco and requires the candidate to live within 50 miles of the office, with housing support provided, and it is not eligible for F1/J1 visas or any work sponsorship. Atlassian’s ML teams collaborate with stakeholders across Growth, GTM, Product, Finance, Design, and Sales to deliver ML infrastructure and model applications, with ML engineers and system engineers working together. They operate quickly from concept to initial output while emphasizing business impact, focusing on ML applications such as recommendations and personalization, GenAI projects, LLM fine-tuning, prompt engineering, and RAG optimizations, translating business problems into technical solutions.

At Atlassian, the company operates as distributed-first with flexibility to work from home, global offices, or both, conducts all interviews virtually, and hires in any country where it has a legal entity. Their Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful career at Atlassian; the San Francisco-based role requires willingness to work within 50 miles of the office, provides housing support, and does not qualify for F1/J1 sponsorship. The future team comprises machine learning engineers and system engineers who tackle business and product challenges across Growth, GTM, Product, Finance, Design, and Sales, delivering ML infrastructure and model applications. They emphasize collaboration, knowledge sharing, and rapid iteration from conceptualization to initial output while maintaining a strong focus on business impact. The role focuses on ML applications and ideas for recommendation and personalization, building ML models for Generative AI projects, translating business problems into technical solutions, and working on GenAI, LLM fine-tuning, prompt engineering, and RAG optimizations.

Atlassian supports a distributed-first work model with virtual interviews and hires in any country where it has a legal entity, allowing work from home or offices. The Grad++ program offers hands-on technical training, mentorship, and social connections to prepare grads for impactful careers, with roles in San Francisco or Seattle and a requirement to live within 25 miles of a hub to qualify, plus a hub bonus; it does not support F1/J1 students or work sponsorship. Atlassian's ML teams collaborate across Growth, GTM, Product, Finance, and Sales to deliver ML infrastructure and model applications, emphasizing speed from concept to output and business impact. The role focuses on ML applications for recommendations and personalization, building models, and working on Generative AI projects, translating business problems into technical solutions. Qualifications include pursuing a master's or bachelor's in a quantitative field, experience coding in Python/Scala/Spark with SQL as a bonus, and prior ML model-building experience from coursework or internships, with full-time enrollment and graduation by June 2026.

At Atlassian, work is flexible and distributed, with virtual interviews and hiring in any country where the company has a legal entity. The Grad++ program offers hands-on technical training, mentorship, and strong social connections to set grads up for a successful career, with roles based in San Francisco or Seattle. Applicants must be within 25 miles of either the Seattle or SF graduate hub to qualify, and the position is not eligible for F1/J1 students or visa sponsorship. The ML team works with Growth, GTM, Product, Finance, and Sales to deliver ML infrastructure and applications, focusing on speed and business impact, including search/recommendation engines, GenAI applications, and LLM training. Candidates should be pursuing a BS or MS in a quantitative field, have software experience in Python/Scala/Spark (SQL is a bonus), and be enrolled full-time with graduation expected by June 2026.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires globally in countries where it has a legal entity. The Senior Risk & Compliance Engineer - Privacy and the Senior Risk & Compliance Program Manager - Privacy are tasked with implementing and managing Atlassian’s privacy compliance strategy within the broader GRC framework, requiring deep expertise in privacy, data protection, and risk management, and they collaborate with Security, Engineering, Legal, Product, and Compliance teams. They drive privacy governance, risk, and compliance initiatives, provide guidance and innovative privacy methodologies to ensure privacy by design and by default, and align privacy considerations with business decisions. They leverage data analytics and visualization to derive actionable insights, promote automation and tooling to enhance privacy processes, and proactively identify and mitigate potential compliance gaps. They regularly evaluate controls, report on effectiveness, influence stakeholders, and stay current on privacy developments (e.g., GDPR, CCPA, APPI) to maintain Atlassian’s privacy posture and mitigate legal and reputational risk.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement, with hiring available in any country where the company has a legal entity. The Senior Risk & Compliance Engineer - Privacy and the Senior Risk & Compliance Program Manager - Privacy are tasked with implementing and managing Atlassian’s privacy compliance strategy within the broader GRC framework, requiring deep expertise in privacy regulations, data protection, and risk management, plus cross-team collaboration with Security, Engineering, Legal, Product, and Compliance. Their role involves embedding privacy governance and controls across the organization, ensuring privacy by design and by default, and delivering guidance to teams to promote industry-leading privacy methodologies. They leverage data analytics and visualization to derive actionable privacy insights, drive automation and tooling, and proactively identify and mitigate privacy risks with comprehensive strategies. They continuously evaluate control effectiveness, report on progress, align stakeholders to privacy initiatives, and stay up-to-date with GDPR, CCPA, APPI, and other regulatory requirements to maintain compliance and mitigate legal and reputational risk.