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Atlassian offers flexible work options—office, home, or a hybrid—and hires globally in any country with a legal entity, giving employees control to support family and personal goals. The role involves partnering with senior leaders worldwide to develop and implement people strategies aligned with the company vision and business goals, and collaborating with regional HR Business Partners and Centers of Excellence to deliver talent strategies and operational plans. You will plan and roll out core HR programs and processes with COEs for supported teams, and use people analytics to provide actionable insights, identify trends, and guide planning, program design, decision making, and success measurement. You will lead organizational design, workforce planning, and change management to support growth and scalability, and foster an inclusive culture by integrating inclusive practices into talent acquisition, leadership development, employee experience, and organizational health. The ideal candidate has at least eight years of HR experience (preferably in high-growth or technology settings), global collaboration experience, strong relationship-building, rapid iterative execution, excellent business storytelling, and a data-driven, business-first mindset across HR to deliver strategic impact and outcomes.

Atlassian supports a distributed-first work model, letting employees work from an office, home, or a mix, with virtual interviews and onboarding, and hires globally where it has a legal entity. The role reports to the Head of Compliance Risk for the India team within Governance, Risk and Compliance, and the Product Compliance team handles Atlassian cloud compliance (SOC 2, ISO 27001/27018, HIPAA, PCI, C5) under the Trust organization. You will collaborate with technical leads to analyze processes, business models, and controls, translate risks, and design and implement mitigating controls while driving continuous process improvement and cross-functional collaboration. Responsibilities include reporting on findings and controls, shaping the compliance strategy with senior management, improving GRC operations, managing gap assessments, audit planning, readiness timelines, and maintaining documentation for audits. You will work with product and functional teams to address architecture and infrastructure impacts on compliance, seek process improvements to boost efficiency and team health, and provide regular status updates to stakeholders.

Atlassian offers flexible work locations—office, remote, or a mix—and hires in any country where the company has a legal entity. 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 with tangible business impact. 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 technical and domain expertise and drive real outcomes. This is a high-visibility, high-impact role for those who thrive in fast-paced, ambiguous environments and are passionate about shaping the future of AI-powered teamwork. You’ll lead the design, development, and deployment of AI/ML-powered solutions, architect integrations using Python or JavaScript, drive data-driven insights, champion AI-augmented workflow automation, oversee production deployment with risk and privacy considerations (GDPR and regulatory), mentor junior engineers, and clearly communicate technical concepts to stakeholders while aligning activities with business objectives.

Atlassian offers flexible work locations—office, remote, or hybrid—so employees can better balance family and personal goals. They hire people in any country where the company has a legal entity. The role involves working with customers and partners to migrate Atlassian products from on-prem to Cloud, joining calls to provide migration updates, coordinating with support teams across regions and functions, and contributing to knowledge articles and release readiness. 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, and strong skills in SQL, scripting (Python, bash), SSO/SAML/LDAP/AD/SSL, Splunk, APIs/REST, and experience with Linux/Unix/Windows and networks, plus Java/JVM experience and enterprise exposure. The role values problem-solving, a willingness to learn new technologies, teamwork across multiple roles, and server-to-cloud migration experience as a plus.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where it has a legal entity, giving Atlassians control over family, personal goals, and priorities. The role involves working directly with customers and partners to migrate Atlassian products from On-prem to Cloud, joining calls to provide migration updates and coordinating with support teams across regions and cross-functional groups like CSMs, EAs, and developers for the best outcomes. Responsibilities also include contributing to knowledge article creation and review, 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 database skills with SQL, scripting knowledge (Python, Bash), and experience with SSO/SAML/LDAP/AD/SSL, Splunk, APIs/REST, and multiple operating systems (Linux/Unix/Windows). Additional desirable skills include networking knowledge, Java/JVM experience, problem-solving and learning agility, enterprise environment experience, teamwork across multiple roles, and server-to-cloud migration experience as an added advantage.

Atlassian supports flexible work options (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. You will join the Marketplace Topline team within FP&A, focused on providing financial insights and data-driven decision-making while collaborating with cross-functional stakeholders to drive growth. The role includes supporting financial deliverables for close, forecasting, and planning for the Marketplace business. It involves analyzing marketplace data to identify trends, risks, and revenue-enhancing opportunities, and partnering with teams to optimize revenue processes. It also entails providing strategic financial insights, monitoring marketplace performance, and offering improvement recommendations.

Atlassian supports a distributed-first work model, enabling flexibility in where employees work, hiring globally in any country where the company has a legal entity, with interviews and onboarding conducted virtually. They are seeking a Principal Product Manager to lead the Confluence Onboarding experience, focusing on activating new customers from acquisition and cross-sell motions. The role will own the strategy and roadmap for helping new admins adopt Confluence, understanding who they are, guiding them to the right product areas, and enabling value in their first weeks. Key responsibilities include defining onboarding strategy for new admins across acquisition and cross-sell journeys, understanding jobs-to-be-done for technical and business admins, shaping the first-time admin experience, and partnering with Design, Research, Marketing, Core Product, and Growth to create empathetic, intuitive experiences while measuring success with Engineering and Data Science. The goal is to drive Atlassian’s growth by ensuring new customers sign up, activate, and expand, delivering a cohesive, value-driven admin journey across the organization.

Atlassian supports flexible work locations, hires globally, and conducts virtual interviews and onboarding as part of its distributed-first approach. Teams tackle large, complex problems in the Jira AI group, translating requirements from Product, Engineering, and Design leads into solid engineering deliverables and delegating work accordingly. They deliver solutions used by other teams and products, guided by a Product Engineer mindset that emphasizes data-driven, customer-centric features and a culture of accountability within Jira AI. The role involves exceptional problem solving with ML/AI and software engineering, routinely addressing architecture challenges, defining architectural standards, and contributing to code delivery through reviews, documentation, direct contribution, and fixing high-risk bugs. It requires expertise in data analysis, statistical methods, and logical reasoning to inform data-driven decisions, cross-team partnerships on company-wide initiatives, and mentoring junior members.

- Atlassians can work remotely, from home, or in an office—this role is remote and must be located in India. - Atlassian is hiring a Principal Machine Learning Scientist to join the Central AI team, which builds the fundamental infrastructure, data pipelines, frameworks, and models to accelerate AI feature development across the company. - The Central AI organization is part of the Atlassian Intelligence program and aims to accelerate AI innovation, provide cohesive AI experiences, and establish an Atlassian AI infrastructure for the future, including developing core shared experiences like search, knowledge discovery, and conversation to prevent silos. - The future team seeks a world-class, empowered engineering organization that supports cloud migration and delivers value across Jira, Confluence, Trello, and Bitbucket. - Daily responsibilities include designing system and model architectures, training and evaluating models, conducting experiments, collaborating with product, engineering, and analytics teams, and guiding emerging ML engineers to realize AI’s transformative potential.

The role is a hands-on StarRocks Engineer on the Developer Observability team, responsible for architecting, operating, and optimizing large-scale StarRocks deployments that power real-time analytics and observability dashboards. It requires deep expertise in StarRocks internals, performance tuning, operational excellence, and integration with modern data pipelines, with duties to design, build, and maintain production-grade clusters for high-volume, low-latency analytics workloads. The engineer will lead schema and data modeling for clickstream, dimensional, and time-series data, ensuring deduplication, upserts, and efficient partitioning, and will optimize query performance using materialized views, indexes, and advanced StarRocks features like vectorization and pipeline execution. Responsibilities include diagnosing and resolving high-severity incidents, implementing permanent fixes and guardrails, and planning capacity, scaling, and resource management for multi-tenant environments, along with backup, disaster recovery, and upgrade strategies with minimal downtime. Security best practices (authN/authZ, encryption, auditing, data masking) will be implemented, and collaboration with engineering and SRE teams will define SLOs, observability dashboards, and alerting for StarRocks infrastructure.

Atlassian offers flexible work options (office, home, or hybrid) with a distributed-first model, and conducts virtual interviews and onboarding for hires in any country where they have a legal entity. The role leads design and architecture of Oracle Fusion applications to support finance functions such as general ledger, fixed assets, accounts payable, order management, accounts receivable, cash management, collections, and financial reporting, ensuring alignment with commerce systems during transitions. It designs and implements end-to-end integrations between Oracle Fusion and other enterprise systems—CRM, Revenue, Tax, Procurement, and billing—and handles customization and configuration to meet business requirements while adhering to best practices and regulatory standards. It oversees data migration and conversion from legacy systems to Oracle Fusion, ensuring data accuracy, integrity, and consistency, and pursues performance optimization through tuning, database improvements, and caching. It ensures security and compliance with regulatory requirements and internal policies, manages change initiatives, upgrades, and migrations with plans and training, and collaborates with vendors to evaluate, onboard, and manage contracts and SLAs.

Atlassian supports flexible work arrangements, allowing employees to work from an office, home, or a mix, and hires in any country with a legal entity. The company is seeking a Lead Product Designer (Design Technologist) to reshape how Confluence customers collaborate on the go, reporting to the Product Design Director, Mobile & AI, across a global team in North America and Australia. As a senior individual contributor, you’ll drive design initiatives for Confluence Mobile and Confluence AI, working at the intersection of mobile, web, and AI to deliver seamless, intelligent experiences that enable teams to collaborate anywhere. You’ll build advanced prototypes in Figma and React, apply AI-powered tooling for rapid iteration, collaborate with engineers to ensure smooth handoff, champion design system adoption, and mentor peers while advancing accessibility and inclusive design. Candidates should have 8+ years in design technology and front-end development, expertise in React/JS and prototyping tools, strong cross-disciplinary communication, and a track record of improving design processes, with interest in AI/ML and emerging UI frameworks like SwiftUI a plus.

Atlassian allows employees to choose where they work—office, home, or a mix—and can hire in any country where it has a legal entity. They’re hiring a Senior Site Reliability Engineer to join the growing Jira SRE team, which owns the infrastructure, tooling, and automation for Jira Cloud. The ideal candidate is a technical leader with awareness of current reliability trends, experience mentoring teammates, and a willingness to share knowledge. They want deep expertise in modern cloud infrastructure, programming, operational experience, and a drive to change the status quo to improve reliability, performance, scalability, and cost efficiency. The role reports directly to the Senior Engineering Manager.

Atlassian lets employees choose where to work—office, home, or a blend—while hiring in any country with a legal entity, all in service of its mission to unleash the potential of every team. Its products like Jira, Confluence, and Bitbucket power collaboration across industries, with real-world impacts such as NASA’s Mars Rover and Cochlear, illustrating how work advances humanity. The Central AI Org focuses on AI innovation across all Atlassian products and platforms, delivering seamless AI experiences and infrastructure, including a centralized Search, Q&A, and Conversational AI, and exploring AI integrations beyond Atlassian. The AI & ML Platform Team aims to democratize AI/ML for Atlassian’s teams and ecosystem, building productive, secure tools that integrate with the Atlassian Data Platform to enable efficient AI workflows. The Senior Machine Learning System Engineer role involves developing core ML infrastructure, collaborating with Jira/Confluence teams, curating datasets and fine-tuning LLMs, leading projects from design to launch, and mentoring junior engineers.

Atlassian supports flexible work arrangements and hires globally where it has a legal entity. The Senior ML System Engineer on the AI & ML Platform will build and refine the infrastructure that enables engineers, ML engineers, and data scientists to create, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence. The role involves curating datasets, fine-tuning open-source or proprietary LLMs, solving complex architecture problems, and leading projects from design to launch, with cross-team partnerships and mentoring duties. Required background includes 5+ years building ML/AI infrastructure, comprehensive ML lifecycle expertise, large-scale distributed systems design, and MLOps/automation capabilities. Desired skills include Python and ML frameworks (PyTorch, TensorFlow, JAX), cloud platforms (AWS/GCP/Azure), big data tools (Spark/Ray/Dask), performance optimization, and experience with GenAI/RAG systems and LLMs.

At Atlassian, a Principal Program Manager is being sought to join the TA Strategic Programs Team, responsible for shaping and executing cross-functional, high-impact talent acquisition programs. The role leads end-to-end strategy, planning, execution, and measurement of complex, multi-year TA programs aligned with strategic workforce goals, collaborating with TA leadership, business executives, Engineering, People Insights, and external partners. You will build strong cross-functional relationships to ensure alignment and delivery, drive organizational change with communication and enablement strategies, and use data analytics to assess program effectiveness and inform decisions. The position involves staying current on industry trends, piloting scalable innovative solutions to improve candidate, interviewer, and hiring manager experiences, and proactively identifying and mitigating risks. You will mentor program managers, work in a remote, globally distributed environment, and Atlassian offers flexible work options and the ability to hire in any country with a legal entity.

Atlassians can choose where they work—office, home, or a combination—giving them more control over family, personal goals, and other priorities. The company hires in any country with a legal entity, and interviews and onboarding are conducted virtually as part of being a distributed-first organization. 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 and supports financial deliverables related to close, forecasting, and planning for the Data Center business and Cloud migration initiatives. They collaborate with cross-functional teams to develop migration strategies and plans, analyze data to support decision-making and optimize migration processes, and monitor and report on 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 global customers of Jira, Confluence, Trello, and Bitbucket; the ideal candidate is a technical leader with awareness of current trends in networking, proxies, and reliability, who can balance operational and project workloads and share knowledge. The candidate should have a deep understanding of modern cloud networking infrastructure, programming expertise, operational experience, and a drive to challenge the status quo, with the ability to analyze and improve services for higher reliability, performance, scalability, and cost efficiency; this role reports to the Senior Engineering Manager of Edge Networking. Common 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 large projects delivering new networking features, designing new network features and implementations, and proactively investigating to improve security, reliability, and cost efficiency, plus mentoring and hiring contributions. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country where it has a legal entity. The role is for a Cloud Network Engineer on the Edge Networking team, aimed at achieving higher reliability, performance, scalability, and cost efficiency for Atlassian's cloud networking stack.

This role is for a Cloud Network Engineer on Atlassian's Edge Networking team, responsible for scaling cloud networking services and owning cloud infrastructure, tooling, and automation to provide a reliable network experience for global Atlassian products like Jira, Confluence, Trello, and Bitbucket. The ideal candidate is a technical leader who stays current with industry trends in networking, proxies, and reliability, has experience balancing operational and project work, and enjoys sharing knowledge while bringing deep expertise in modern cloud networking, programming, and operational practices. The engineer will analyze and improve services and processes to raise reliability, performance, scalability, and cost efficiency, reporting to the Senior Engineering Manager of Edge Networking. Atlassians can work anywhere—office, home, or hybrid—and the company can hire in any country where it has a legal entity. Common responsibilities include automating and operating large proxy fleets across global regions, responding to operational events and mitigations, contributing to large projects to deliver new networking features, designing new network features, investigating security, reliability, and cost-efficiency improvements, and mentoring or hiring others.

Atlassians can work in the office, from home, or a combination, and the company hires globally with virtual interviews and onboarding as part of its distributed-first approach. There is an entry-level Accountant opportunity to join the global general ledger team, reporting to the Accounting Manager. The role involves maintaining the accuracy and integrity of financial information across global entities, ensuring policy compliance, and collaborating with cross-functional teams to support accurate financial reporting. Responsibilities include supporting month-end close with journal entries, performing account analyses and reconciliations, identifying process improvements, and contributing to special projects such as system upgrades and reporting optimization, as well as participating in global standardization of policies and procedures. The position requires attention to detail, effective communication, and flexible teamwork, and it expects the candidate to embody JD Finish Line’s core values of Customer, People, Winning, Community, and Financial Responsibility, with additional duties as required.

Atlassian offers flexible work options (office, home, or a mix) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. The role is a Portuguese-fluent Pre-Sales Solutions Engineer for the SMB segment (customers under 1000 employees) focused on solving business problems and helping close deals in LATAM, with Spanish proficiency a strong plus. You’ll join Atlassian’s solutions engineering team as part of the LATAM expansion, working with direct sales, partners, and larger account teams to drive value selling across the region, in a culture that emphasizes “play as a team.” Responsibilities include understanding customer problems, conducting discovery, mapping needs to Atlassian products, leading value-based demos, pursuing cross-product opportunities, guiding technical requirements, and maintaining pipeline in collaboration with SMB sellers. The role also involves documenting product feedback and competitive intelligence for product management and continuous learning to advance Atlassian’s cloud and AI-enabled offerings in LATAM.

Atlassian offers flexible work locations (office, remote, or hybrid) and can hire globally, with virtual interviews and onboarding as part of a distributed-first approach. It’s hiring a Portuguese-fluent Pre-Sales Solutions Engineer for its SMB segment (customers under 1000 employees) to be a solution expert in the sales cycle, solving customer problems and helping close deals, with a focus on LATAM expansion; Portuguese is required and Spanish is a strong plus. The future team has over 250,000 customers including NASA, IBM, HubSpot, Samsung, and Coca-Cola, and emphasizes value selling and a collaborative culture where employees work with Atlassian, not just for it, with high earnings potential and opportunities in cloud and AI. Responsibilities include partnering with direct sales, partners, and account teams, understanding customer needs, mapping to Atlassian products, and leading compelling value-based demonstrations. Additional duties involve cross-product/solution expansion, documenting product feedback and competitive intelligence, and continuously learning about pre-sales, product, and process knowledge.

Atlassian allows you to choose where you work—office, home, or a mix—and hires in any country with a legal entity, with virtual interviews and onboarding as part of their distributed-first approach. They’re hiring a Senior Product Marketing Manager to join the AI Marketing team to drive adoption and momentum of Rovo, Atlassian’s flagship AI product. The PMM sits at the center of product, marketing, and growth, owning product performance and funnels, and partnering with product to influence strategy and unlock sustained customer value and growth. The role emphasizes shaping GTM with a strong focus on data, conversion, experimentation, and storytelling that connects users to product value, not just supporting it. Responsibilities include Roadmap & Strategy (voice of the customer, collaboration with Product Management and Design), Adoption & Growth, Positioning & Messaging, Conversion Optimization, Go-to-Market Planning, and Cross-Functional Collaboration with Product, Analytics, Design, Growth, and Sales.

Atlassian offers flexible work options (office, home, or a mix) and hires in any country where it has a legal entity. The Atlassian Corporate Engineering (ACE) team builds advanced technology and solutions, including AI/ML-driven features and GTM/Fintech capabilities, to fuel growth and deliver enterprise-grade finance, commerce, people, and workplace programs. As a Technical Program Manager on the ACE team, you will define the technical strategy for quote-to-cash products, create a long-term vision and roadmap, build consensus among partners, and drive cross-organizational programs with deep domain expertise. You’ll lead end-to-end delivery of complex programs, influence architecture, translate ambiguous plans into concrete goals for engineering teams, and define metrics for quality and performance. Minimum qualifications include 8+ years in software teams as a Development Manager or TPM, strategic thinking and system understanding (coding not required but knowledge of system flows and APIs), with a preferred BS in Software Engineering or Computer Science; hiring specifics may vary by role.

- Atlassian supports flexible, distributed work, allowing employees to choose office, home, or hybrid setups, with virtual interviews and onboarding for global hires. - Teamwork Collection (TWC) is a suite including Jira, Confluence, Loom, and Rovo that helps connect projects to goals, plan and track work, and boost organization-wide collaboration. - The Principal Product Marketing Manager role partners with product and sales to develop roadmaps and go-to-market strategies that showcase the bundled value of Jira, Confluence, Loom, Rovo, and the Atlassian platform as a single solution. - Responsibilities include differentiated executive-focused messaging, enterprise GTM strategy, market/competitive/user research, customer advocacy, activation programs for large accounts, and mentoring junior PMMs. - The role emphasizes cross-channel consistency, tailoring value propositions based on feedback, and leveraging customer stories to build credibility and improve the cross-product experience.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally wherever it has a legal entity. The company is seeking 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 the FP&A team across corporate functions (HR, Legal, and Finance), partner with executives to shape a multi-year headcount operating model, and enhance forecasting, close processes, and decision support for the C-suite. It will also champion data-driven planning, scale planning tools and automation, mentor a global team, and own headcount planning and workforce costs in partnership with compensation leadership. Finally, the leader will provide executive-ready narratives, drive continuous improvement, and ensure cross-functional alignment with HR, Legal, and Finance to deliver fast, high-quality results in a growth SaaS environment.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity, with virtual interviews and onboarding as part of a distributed-first model. The company is looking for a Portuguese-fluent Pre-Sales Solutions Engineer for its SMB segment (customers under 1000 employees) to be a solution expert throughout the sales cycle, solving customers’ toughest problems and helping close deals in LATAM; Spanish is a plus. In this role you’ll partner with direct sales, partners, and larger account teams to profile customers, understand business problems and roadmaps, and identify cross-product/solution opportunities. You’ll be a product expert, lead value-based demonstrations, understand customers’ technical needs, and guide them to see how Atlassian’s portfolio can transform their work. The position emphasizes a collaborative, value-driven culture with ongoing learning, strong LATAM growth potential, and close collaboration with SMB sellers to optimize the selling cycle and provide product feedback.

- Atlassian supports flexible work locations—office, home, 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. - Atlassian is seeking a Portuguese-fluent Pre-Sales Solutions Engineer for its SMB segment (customers under 1000 employees) to be a solution expert in the sales cycle, solve customers' major business problems with Atlassian products, and help close deals, with a focus on expanding in Latin America; Portuguese fluency is required and Spanish is a strong plus. - The role operates within a team that serves over 250,000 customers and emphasizes value selling, teamwork, and a culture where employees work with Atlassian, not for Atlassian. - Responsibilities include partnering with direct sales, partners, and SMB account teams to understand customer profiles and problems, map to Atlassian products, lead value-based demonstrations, explore cross-product opportunities, and drive customer buy-in and internal product feedback. - Additional duties involve maintaining pipeline with SMB sellers, documenting feedback and competitive intelligence, and continuously learning to improve pre-sales, product, solution, and process knowledge.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. - The Senior Risk & Compliance Engineer - Privacy will implement and manage the privacy compliance strategy within the GRC framework, requiring deep privacy expertise and collaboration with Security, Engineering, Legal, Product, and Compliance. - The Senior Risk & Compliance Program Manager - Privacy will maintain Atlassian’s privacy posture, manage privacy risks, and support leadership in privacy-informed decision-making, integrating privacy across the business. - Responsibilities include delivering privacy expertise and innovation, driving governance, risk and compliance management, leveraging data analytics and visualization, and promoting automation to ensure privacy by design and by default. - The roles involve proactively identifying and mitigating privacy risks, collaborating to implement controls, continually evaluating control effectiveness, aligning stakeholders, and staying up-to-date with GDPR, CCPA, APPI, and other regulatory requirements.

- Atlassian supports flexible, distributed-first work arrangements, allowing employees to work from home, in an office, or hybrid, with a Bangalore office and remote options across India under "TEAM anywhere." - The company hires globally wherever it has a legal entity, with interviews and onboarding conducted virtually as part of its distributed-first approach. - The Principal Software Engineer role is a technical leader and hands-on contributor who designs and optimizes high-scale, distributed storage systems built on AWS. - Key responsibilities include designing and implementing backend storage services for high throughput, low latency, and fault tolerance; driving scalability, availability, and efficiency; leading architecture reviews and root-cause analyses; mentoring engineers and shaping long-term storage strategy; and applying expertise in storage consistency models, data partitioning, indexing, and caching. - Collaboration with Site Reliability Engineers on observability, disaster recovery, and compliance, and advocacy for automation, IaC, and DevOps best practices using Terraform, CloudFormation, Kubernetes (EKS), and CI/CD pipelines to enable scalable deployments.

Atlassian offers flexible work arrangements—office, home, or hybrid—across a global workforce, with virtual interviews and onboarding as part of a distributed-first approach, and a Bangalore office with remote options across India under the TEAM anywhere program. As a Principal Software Engineer, you will be a technical leader and hands-on contributor responsible for designing and optimizing high-scale, distributed storage systems built on AWS. Your primary responsibilities include designing, implementing, and optimizing backend storage services to achieve high throughput, low latency, and fault tolerance, while working with senior engineers and cross-functional teams to improve scalability and reliability. You will mentor senior engineers, contribute to technical roadmaps, shape long-term storage strategy, and drive best practices in storage consistency models, data partitioning, indexing, and caching. You will collaborate with Site Reliability Engineers to implement observability, monitoring, disaster recovery, and compliance, and advocate automation and DevOps practices using IaC and tools like Terraform, AWS CloudFormation, Kubernetes (EKS), and CI/CD pipelines.

Atlassian offers flexible work options (office, home, or a mix) and hires globally where they have a legal entity. The ACE team aims to unlock the potential of every Atlassian group by delivering advanced technology and AI/ML-powered data solutions that empower teams and drive growth across finance, commerce, people, and workplace domains. As a Technical Program Manager on the ACE team, you report to the Head of TPM and define and manage technical program goals and success metrics, translating business challenges into actionable requirements. You will translate objectives into technical requirements, partner with engineers and architects, build a delivery plan, and communicate status, risks, and issues using data-driven decision making. You will manage complex cross-company dependencies and champion change, driving the adoption of best practices to ensure successful project delivery.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country with a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The company emphasizes staying current with AI and Search innovations and partnering with engineering to translate these into practical platform evolution that delivers value to customers. You analyze business objectives, customer needs, product adoption inhibitors, and industry trends to define a long-term strategy and roadmap for platform and product components in collaboration with stakeholders. You translate objectives into technical system problems, define specific programs and action plans—covering capacity planning, migrations, high availability, network architecture, performance, reliability, and more—and influence engineers and architects to progress on these problems. You take a systematic approach to engineering problems, prioritizing tasks, scoping projects, and defining objectives, and you’re accountable for the full lifecycle of technical programs (initiation to forecasting, budgeting, scheduling) while managing complex dependencies across the company.

Atlassian supports a distributed-first work model with flexible location, global hiring, and virtual interviews/onboarding. The role focuses on staying current with AI and Search innovations and partnering with engineering to translate them into platform evolution that benefits customers. It involves analyzing business objectives, customer needs, and trends to define a long-term platform and product roadmap in collaboration with stakeholders, and translating business goals into prioritized technical problems. The job entails defining programs and action plans—covering capacity planning, migrations, high availability, network architecture, performance, reliability, etc.—and guiding engineers and architects to progress on these issues. You’re responsible for a systematic approach, including prioritization, scoping, objective definition, lifecycle management, budgeting, scheduling, and managing complex cross-company dependencies to ensure program success.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, with the Senior HRBP Program Manager role part of the People Programs team aligned to HR Business Partners. The role partners with HRBPs supporting the General & Admin and ACE teams and is responsible for delivering end-to-end strategic people programs and large-scale, function-wide change initiatives. It aims to optimize processes by standardizing HRBP-related workflows to improve efficiency and the experience of employees and managers. The role uses quantitative and qualitative data to identify trends, prioritize work, measure program effectiveness, and recommend data-driven actions to HRBPs and business leaders, while building strong stakeholder partnerships to drive adoption. The ideal candidate has proven HR program management experience across multiple specialties, a deep understanding of the HRBP role, experience in large international organizations, and a passion for driving business success through effective HR and change management.

Atlassian supports flexible work arrangements—office, home, or a combination—and hires in any country where it has a legal entity. The Senior HRBP Program Manager role sits in the People Programs team and partners with HR Business Partners supporting General & Admin and ACE teams. The role is responsible for delivering end-to-end strategic people programs, from targeted interventions to large-scale, function-wide change, with clear objectives, strong execution, and measurable impact. It also aims to optimize HRBP-related processes, leverage data and insights to prioritize work and measure effectiveness, and influence stakeholders to drive adoption of HR initiatives. The ideal candidate has a proven track record in HR program management across multiple specialties, deep HRBP understanding, experience in large international organizations, and a passion for enabling business success through effective HR and change management.

Atlassian supports flexible work arrangements, hires globally where they have a legal entity, and conducts virtual interviews and onboarding 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 Atlassian’s understanding of customers’ work and organizational knowledge; the effort is in early stages, involving exploration and validation through customer research. As Principal Product Manager for AI Quality in Central AI, you will shape and execute Atlassian’s vision for delivering quality AI products, including Rovo, focusing on superior quality experiences underpinning AI-driven solutions. Key responsibilities include defining the strategic vision and roadmap for AI quality, driving initiatives to improve the quality, reliability, and trustworthiness of AI models and experiences, and ensuring alignment with organizational goals and user expectations through cross-functional collaboration. Additional duties involve a customer-centric approach with deep insights to identify and address quality gaps, regular validation with users and stakeholders, and compelling storytelling to communicate progress and Atlassian’s advancements in search relevance and quality.

- Atlassian offers flexible work locations and hires in any country with a legal entity, aligning with its mission to unleash the potential of every team. - It’s investing in Generative AI and is seeking a Principal Machine Learning Engineer (P60) to join the GenAI Modeling & Jira Search team for hands-on technical leadership and rapid prototyping. - The role involves advancing knowledge-grounded LLMs, embeddings, and multimodal modeling, and exploring fine-tuning, post-training, and retrieval-augmented strategies to adapt foundation models to Atlassian data. - You’ll prototype and experiment rapidly, driving POCs from agentic workflows to GenAI-powered assistants, and define evaluation methods for groundedness, hallucination detection, and human-in-the-loop. - You’ll provide technical leadership as the anchor of a small team, influence retrievers, rankers, orchestration, and serving infrastructure, collaborate to scale prototypes, shape Forge’s GenAI roadmap, and champion responsible AI and data quality.

Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where the company has a legal entity. 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 AI-powered solutions across industries. You’ll collaborate with product, engineering, and design to grow your technical and domain expertise while delivering high-visibility, high-impact work in fast-paced, ambiguous environments that shape the future of AI-powered teamwork. You’ll lead the design, development, and deployment of AI/ML solutions using frameworks such as TensorFlow, PyTorch, and agent-based platforms, architect robust integrations, drive data-driven insights, champion AI-augmented workflow automation, and oversee end-to-end production deployment while navigating risk and compliance. You’ll also mentor junior engineers, communicate complex technical concepts to technical and non-technical stakeholders, and align technical solutions with business objectives by setting a clear vision and measurable results.

Atlassian supports flexible work options—office, remote, or hybrid—and 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. The FDE team partners with leading organizations across industries to help them leverage Atlassian’s AI capabilities and drive real-world business impact. Your duties include leading the design, development, and deployment of AI/ML solutions using frameworks like TensorFlow and PyTorch, architecting integrations with Python/JavaScript, driving data-driven insights, enabling AI-augmented workflow automation, and overseeing end-to-end deployment while navigating risk, privacy, and regulatory considerations and mentoring junior engineers. This is a high-visibility, high-impact role in a fast-paced, ambiguous environment for those passionate about shaping the future of AI-powered teamwork.

Atlassian offers flexible work options—office, remote, or hybrid—giving employees control over family, personal goals, and priorities, and hires in any country where the company has a legal entity. As a Principal Forward Deployed Engineer, you'll work at the forefront of applied AI, partnering with customers and cross-functional teams to deliver AI-powered solutions and help top organizations leverage Atlassian’s AI capabilities to solve real problems. You'll collaborate with product, engineering, and design to rapidly grow technical and domain expertise, making a tangible impact on business outcomes in a high-visibility, fast-paced environment that shapes the future of AI-powered teamwork. Your responsibilities include leading end-to-end AI/ML solution design, development, and deployment; architecting integrations using Python/JavaScript and frameworks like TensorFlow, PyTorch, LangChain, and LlamaIndex; driving data-driven insights and promoting AI-augmented workflow automation. You will navigate risk and compliance (AI risk assessment, GDPR), mentor junior engineers, and communicate complex concepts clearly to technical and non-technical stakeholders, ensuring solutions align with business objectives and deliver measurable results.

Atlassian lets employees work from anywhere—office, home, or a hybrid arrangement—and hires in any country where the company has a legal entity to support personal goals and family needs. The Finance Director will lead the modernization of Sales Finance to deliver faster, sharper insights that drive growth and capital efficiency, owning the Revenue forecast framework, end-to-end forecasting, and ACV evaluation across Net New, Renewal, and Churn, by setting vision and directing cross-functional programs. The role has enterprise impact, thought leadership, and change leadership, influencing senior executives across Sales, FP&A, RevOps, Product, and Legal, defining reference architecture for sales billing forecasting and ACV measurement, and sponsoring complex programs with governance and mentorship. The director is the final decision-maker for Sales Finance forecasting methodologies, KPI definitions, and business rules. Key responsibilities include designing and scaling the revenue forecast framework (ACV, Billing, Revenue) grounded in data-driven models, improving forecast processes with a driver library and data lineage, and owning ACV performance frameworks and dashboards with standardized definitions and actionable analytics for Net New, Renewal, and Churn in collaboration with Sales and Customer Success.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity, giving employees more control over family and personal priorities. The Finance Director will lead the modernization of Sales Finance to deliver faster, sharper insights that drive growth and capital efficiency by transforming the revenue forecast framework, end-to-end forecasting processes, and sales entity strategies, in partnership with GTM leaders to evaluate ACV across Net New, Renewal, and Churn. The role has enterprise impact, influencing senior executives across Sales, FP&A, RevOps, Product, and Legal, and provides thought leadership by defining the reference architecture for sales billing forecasting and ACV measurement and establishing standards adopted company-wide. It requires change leadership—sponsoring cross-functional programs, governance, risk controls, benefit realization, and mentoring senior managers and high-potential talent—and designates final decision rights for forecasting methodologies, KPI definitions, and business rules. Key responsibilities include designing, implementing, and scaling the revenue forecast framework with data-driven models; improving forecast processes with a driver library and data lineage; owning the ACV performance framework and dashboards with standardized Net New, Expansion, Renewal, Contraction, and Churn definitions; and collaborating with Sales and Customer Success to inform pipeline, renewal strategies, territory design, capacity planning, incentives, and investments.

This is an experienced commercial counsel role joining Atlassian’s Commercial Legal team to support enterprise transformations and close deals with enterprise customers in the United States and Canada, in a remote position. Atlassian supports a distributed-first workforce, allowing work from office or home, and hires in any country with a legal entity, with virtual interviews and onboarding. You will negotiate enterprise cloud agreements, partner with Sales and other teams to drive deals to execution, and provide pragmatic, business-minded guidance on customer requests and contract issues (not academic analysis). You will develop training materials for Sales on contract terms, assist with special projects to scale legal processes, and lead initiatives to scale the Legal and Sales functions across the quote-to-cash process, collaborating with Privacy, Trust, Finance and Product teams. The role emphasizes leading strategic customer deals through cross-functional collaboration and process improvements in a remote, globally distributed environment.

Atlassian is hiring an experienced commercial counsel to join the Commercial Legal team and support enterprise transformations by working closely with Sales on deals with enterprise customers in the U.S. and Canada. The role is remote and distributed-first; Atlassians can work from office, home, or a mix, and hires can be in any country where Atlassian has a legal entity, with virtual interviews and onboarding. Responsibilities include negotiating enterprise cloud agreements, guiding customer requests with pragmatic, business-minded advice, and driving deals to execution in collaboration with Sales and other teams. You will also develop training materials for Sales on contract terms and legal issues, and assist with special projects to scale legal processes and the quote-to-cash process. Additionally, you will lead cross-functional projects to scale the Legal and Sales functions, partnering with teams such as Privacy, Trust, Finance, and Product to bring a legal perspective to strategic customer deals.

Atlassian offers flexible, distributed-first work options with virtual interviews and onboarding, and this role is fully remote but requires you to be located in Türkiye. They are seeking a Principal Engineer in ML/AI to drive the vision, development, and launch of AI-powered products and platforms, focusing on two areas: AI Foundation and NextGen AI. AI Foundation aims to build scalable AI infrastructure and tools to accelerate AI-powered features across product teams, while NextGen AI explores cutting-edge applications like chatbot experiences and generative features. The role requires strong technical leadership with hands-on work in prompt engineering, model iteration, and training/inference, along with end-to-end ownership from prototyping to production and cross-functional collaboration. Responsibilities include defining the technical vision and roadmap, platformizing AI/ML for scalability and adoption, partnering with customer teams, evaluating in-house versus third-party solutions, and establishing best practices for AI development, monitoring, and quality.

Atlassian is a distributed-first company with flexible work locations and virtual interviews, hiring in any country with a legal entity. The Intern program combines hands-on training, mentorship, and social connections to set students up for a successful career, and the San Francisco role requires residence within 50 miles with housing support. The position is not eligible for F1 or J1 visas and does not offer work sponsorship. The ML teams collaborate with stakeholders across Growth, GTM, Product, Finance, Design, and Sales to deliver ML infrastructure and model applications, composed of ML and systems engineers who prioritize speed and business impact. The role focuses on ML applications including search/recommendation engines, GenAI, LLM fine-tuning, prompt engineering, and RAG optimizations, translating business problems into technical solutions for personalization.

Atlassian offers flexible work locations, virtual interviews, and hires in any country with a legal entity, with more details at their distributed work page. The Grad++ program provides hands-on technical training, professional growth, mentorship, and social connections to launch a successful career, and the role is based in San Francisco or Seattle, requiring within-25-mile proximity to a hub for a bonus and not eligible for F1/J1 or sponsorship. The ML team collaborates across Growth, GTM, Product, Finance, and Sales to deliver ML infrastructure and model applications, comprising ML and system engineers who prioritize speed and business impact. The role focuses on ML applications for recommendation and personalization, building models, and Generative AI projects, translating business problems into technical solutions. Qualifications include pursuing a bachelor’s or master’s degree in a quantitative field, experience programming in Python/Scala/Spark (SQL bonus), and relevant ML coursework or internships, with graduation by June 2026.

Atlassian supports flexible work locations and hires globally wherever they have a legal entity. The Flywheel Monetization Growth team accelerates Atlassian’s revenue growth by helping customers discover products and purchase with confidence, serving 250k+ customers across industries. The Growth team is a horizontal, cross-product unit spanning Jira and Confluence that aims to inflect growth trajectories across the business. The Principal Product Manager role owns the vision, strategy, and roadmap for Flywheel monetization on Jira and Confluence lands, leading cross-functional teams to drive measurable outcomes through experimentation and customer insight. Responsibilities include owning the vision/strategy/roadmap, leading high-impact growth initiatives, using data to balance rigor with speed, championing a customer-centric approach, thriving in a matrixed, experimentation-driven environment, mentoring PMs, and collaborating with Engineering, Data Science, Marketing, Core Product, and Growth to deliver a high-impact roadmap.

Atlassian offers flexible work options (office, remote, or hybrid) and can hire in any country where it has a legal entity, supporting employees’ family and personal goals. The company serves over 300,000 customers worldwide (including NASA, IBM, HubSpot, Samsung, and Coca-Cola) and aims to unleash every team's potential through powerful software, driving customer impact and revenue growth, guided by the value “play as a team.” The sales role focuses on strategic accounts, acting as the main contact, developing and executing account plans, and leading complex negotiations with high-value customers while coordinating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers. Responsibilities include identifying decision-makers, building executive relationships, understanding customer objectives, pursuing upsell/cross-sell opportunities, conducting market research, forecasting for leadership, traveling as needed, and mentoring junior staff. Qualifications include 10+ years of quota-carrying enterprise software sales, experience closing large multi-million-dollar deals with C-level relationships, navigating complex procurement, leading cross-functional teams, and a proven track record of meeting targets and driving customer outcomes.

- Atlassian offers flexible work options—office, remote, or hybrid—and hires globally where it has a legal entity, serving 300,000+ customers including NASA, IBM, HubSpot, Samsung, and Coca-Cola. - The goal is to unleash every team’s potential through software, deliver exceptional customer impact, and drive ongoing revenue growth, guided by the value “play as a team” and the idea that employees work with Atlassian, not for Atlassian. - The sales role focuses on named accounts or strategic territories, serving as the main contact for designated high-value customers, and developing strategic plans to achieve long-term mutual growth. - Responsibilities include building executive relationships, coordinating with internal teams and partners to upsell/cross-sell, leading complex negotiations, and staying attuned to market trends while forecasting and mentoring junior sales staff as applicable. - Qualifications require 10+ years of quota-carrying enterprise software sales, experience with multi-million-dollar transformation deals and complex procurement, cross-geography leadership, CRM proficiency, and a proven track record of meeting targets, while Atlassian continues to responsibly integrate AI into cloud products and migrate customers to the cloud with cost transparency and faster collaboration.

Atlassians can choose where to work—office, home, or a blend—and the company hires in any country where it has a legal entity to support personal goals and priorities. The role includes administering Okta for identity federation, user lifecycle management, SSO and MFA across SaaS apps, and managing SaaS configurations as code (e.g., Terraform) for repeatable, auditable deployments. It also covers overseeing configuration, licensing, policy enforcement, and maintenance across Google Workspace, Slack, Proofpoint, Dropbox, and Microsoft Entra ID / Office 365. The team partners with Security and Compliance to align with standards such as FEDRAMP, SOC 2, ISO 27001, maintains email security posture, and monitors platform health while responding to escalations and coordinating with vendors during outages. Additional duties include implementing monitoring and automation, auditing access logs with SIEM tools (e.g., Splunk), maintaining architecture documentation and runbooks, providing Tier 3 escalation support, and developing self-service tools to reduce support load and empower users.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The Senior Principal Engineer will drive the Revenue Technology landscape by building next-generation, connected Marketing, Sales, and Finance workflows and interfaces to support rapid growth. The role sits at the center of evolving a robust systems landscape, linking the data lifecycle from top-of-funnel inputs to back-end processing and shaping long-term architectural direction. Responsibilities include delivering simple yet scalable solutions, influencing business processes for ROI, mentoring engineers, and collaborating with data, product, and design to define multi-year strategy and standards, including AI/ML-driven enhancements. Qualifications call for 12+ years of software experience with 5+ years in an architect/principal role, domain familiarity in Commerce/CRM/Marketing/Fintech, experience building and operating large-scale, high-availability services, data/security/compliance work, proficiency with AI toolsets, and a CS degree or equivalent.

Atlassian's mission to unleash the potential of every team guides products like Jira, Confluence, and Bitbucket that fit into teamwork across different types of teams and processes. The text likens the impact of work to NASA launching the Rover or Cochlear gifting those born deaf with the ability to hear, showing how their work influences the products people use to promote humanity. Atlassians can work from an office, home, or a mix, with hiring in any country where there’s a legal entity and virtual interviews and onboarding as part of being a distributed-first company. The future team, the Search Serving Platform (central to Atlassian and Rovo Search), aims to unlock instant access to relevant enterprise knowledge across fragmented sources to enhance decision making and actions for humans and agents alike. They seek an experienced Engineering Leader to guide the globally distributed team, bringing deep expertise in search systems, a track record of delivering multi-quarter roadmaps, comfort with ambiguity, and the ability to inspire, set world-class standards, and drive long-term technical strategy for cutting-edge search.

- Atlassian supports distributed work and hires in any country where they have a legal entity. - This role is fully remote but requires you to be located in Türkiye to collaborate effectively with teams across EMEA time zones. - You will join Atlassian’s IT Service Management (ITSM) organization, working on Jira Service Management, a fast-growing cloud product for IT, operations, and business teams. - You will lead and grow a team of software engineers working on core JSM/ITSM components, providing clear direction, coaching, and building an inclusive, high-performing culture. - You will own the delivery and operational excellence of critical services in a cloud-based microservices environment, partner with Product and Design on roadmaps and impact, champion DevOps practices (CI/CD, observability, incident management), and contribute to planning, onboarding, and growing Atlassian’s engineering presence in Türkiye.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity. This particular Backend Software Engineer role is fully remote but requires you to be located in Turkiye. The role sits within a unified R&D engineering team focused on moving customers to the cloud and strengthening Jira, Confluence, Trello, and Bitbucket. Responsibilities include building scalable features in a cross-geo environment, collaborating with engineers, PMs, and designers, code reviews, mentoring teammates, and ensuring observability, reliability, security, and performance. You will participate in Agile ceremonies and report directly to the Engineering Manager.

Atlassian’s Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful, impactful career at Atlassian. The role is preferably co-located in Seattle or within the Pacific Timezone to facilitate collaboration. Atlassian’s mission is to unleash the potential of every team, and AI/ML is transforming how teams plan, track, and deliver work across software and business domains, prompting a need for ML engineers to advance this mission. The role involves joining the ML Research team to work on advanced ML/AI technologies, including LLMs, Generative AI, Search, conversational agents, and AI optimization, with the goal of developing enterprise-ready solutions. Responsibilities include designing system and model architectures, conducting rigorous experiments and evaluations, applying AI/ML to product problems, and contributing to Atlassian Intelligence features.

At Atlassian, employees can work in an office, from home, or in a hybrid setup, and the company hires in any country where it has a legal entity, giving people more control over family and personal priorities. Atlassian's Accessibility Team is building an Accessibility Center of Excellence to raise disability awareness, provide training and guidance, and promote accessibility best practices across products and teams. The Senior Technical Program Manager - Accessibility will lead cross-functional programs to ensure Atlassian’s products and services meet or exceed accessibility standards, partnering with engineering, design, product, and compliance. Key duties include driving accessibility programs, governance and compliance, stakeholder collaboration, roadmapping, dependency and risk management, and reporting to leadership and external stakeholders. The role also focuses on education, advocacy, and customer engagement to train teams, foster inclusion, and address accessibility issues with customers and the disability community.

Atlassian supports flexible work locations (office, home, or a mix) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first culture. The company is recruiting a Learning Program Manager to design and deliver talent development initiatives that align with business goals and deliver measurable value, starting with the Engineering team and expanding later. The role involves partnering with business leaders to identify critical talent gaps, then architect end-to-end programs—from strategy and design to facilitation and internal hub management. The ideal candidate excels at business partnership, strategic thinking, adult learning design, and program management, with a passion for developing talent and driving organizational impact. Responsibilities include identifying needs with SMEs, delivering diverse formats (workshops, e-learning, coaching), facilitating sessions, measuring effectiveness, co-creating innovative learning experiences, and building strong relationships with managers and leaders.

At Atlassian, you can work from an office, from home, or a combination of the two, and the company hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of being distributed-first. The role sits in the Data Center Revenue team within Commercial FP&A, focusing on leading strategic initiatives and optimizing revenue from data center operations while assisting the Cloud migration journey. Responsibilities include forecasting and reporting Data Center revenue, owning close/forecast/planning deliverables, collaborating cross-functionally on migration strategies, and delivering data-driven narratives for monthly and quarterly reviews, plus partnering with data science to ensure accurate reflection of transactions and communicating the financial narrative to the board and executives. Qualifications require at least 5 years in finance (FP&A in tech, consulting, or banking), strong financial modeling, experience storytelling with data, ability to support senior partners, and strong critical thinking, organizational, interpersonal, communication, and collaboration skills in a dynamic environment. Preferred qualifications include tech/SaaS experience, cross-functional collaboration, topline forecasting in tech, experience with Sales and Revenue Accounting, familiarity with planning tools and BI tools (e.g., Anaplan, SQL), and a degree in Economics, Mathematics, Finance, or a related field.

Atlassian supports flexible work arrangements and hires globally where it has a legal entity. The Opportunity focuses on empowering customers to learn, connect, and thrive within the Atlassian ecosystem, with a Principal Technical Program Manager leading the transformation of learning and community experiences into an intelligent, unified, scalable platform that connects millions to personalized learning paths, AI-powered knowledge discovery, and peer-to-peer engagement. This is a high-impact role at the intersection of product, platform, and customer experience, driving Atlassian’s mission to help every team unleash their potential. Key responsibilities include taking end-to-end ownership of cross-company initiatives to shape the next-generation Learning Platform and Community ecosystem, architecting scalable systems, and driving measurable impact with metrics for engagement, learning adoption, and satisfaction while addressing friction in learning journeys. The role requires broad collaboration across Product, Engineering, Customer Success, Marketing, and Data Science, a customer-centric focus, and thought leadership in AI-driven learning experiences and scalable community engagement strategies.

Atlassian is seeking a Principal Product Manager to lead the Confluence onboarding experience, focusing on activating new customers from acquisition and cross-sell motions and shaping how new admins first experience Confluence. The role owns the strategy and roadmap to help new admins adopt Confluence—understanding who they are, guiding them to the right parts of the product, and enabling value realization in their crucial first weeks. This work directly impacts Atlassian’s growth by ensuring new customers sign up, activate, and expand. Atlassian offers flexible work options and can hire in any country where it has a legal entity. Responsibilities include defining onboarding strategy across acquisition and cross-sell, understanding jobs-to-be-done for technical and business admins, shaping the first-time admin experience, partnering with Design and Research, collaborating with Marketing, Core Product, and Growth, working with Engineering and Data Science to define metrics and run experiments, and driving alignment across Atlassian to deliver a cohesive, value-driven admin journey.

Atlassian is seeking a Principal Product Manager to lead the Confluence Onboarding experience, focusing on activating new customers from acquisition and cross-sell motions. The role owns the strategy and roadmap to help new technical and business admins adopt Confluence, guiding them to the right parts of the product and delivering value in their first weeks. This work directly supports growth by ensuring new customers sign up, activate, and expand their usage. Atlassian offers flexible work options and hires in any country with a legal entity. Responsibilities include defining onboarding strategy, understanding admins' jobs-to-be-done, shaping the first-time experience, partnering with Design and Research, collaborating with Marketing/Core Product/Growth, and working with Engineering/Data Science to measure success and drive cross-team alignment.

Atlassian is hiring Lead Principal Technical Program Manager for Foundations, the most senior IC TPM role, spanning foundational parts of the tech stack including Compute, Network, Data Platform, Identity, Security, and Reliability to drive critical company-wide initiatives. The role requires innovative thinking, collaborative problem-solving, and the ability to influence key technical decisions across the company while working with world-class engineering teams and shaping the TPM craft as a senior member. Primary responsibilities include analyzing the current state of Foundations, defining the long-term strategy and roadmap, translating strategy into technical requirements, streamlining execution, and evangelizing platform adoption across executives and product teams. Atlassian offers flexible work options (office, home, or hybrid), hires in any country with a legal entity, and conducts virtual interviews and onboarding as part of its distributed-first approach. A core emphasis is ownership: proactively identifying inhibitors, issues, or opportunities and addressing them directly or via the right owners, driving complex cross-divisional projects with broad scope.

The role blends accounting execution, systems thinking, and automation/AI, ideal for someone eager to learn, curious about how things work, and willing to experiment. At Atlassian, employees can work from office, home, or a mix, and they can hire in any country where Atlassian has a legal entity. Key responsibilities include partnering with the core GL team on process improvement and automation through testing, documentation, validation, requirement gathering, UAT, and data reconciliation during rollouts. The role also involves exploring AI tools to enhance accounting processes, reviewing spreadsheets for AI opportunities, building trackers and user guides, and supporting monthly close with journal entries, reconciliations, and variance analysis. Finally, you’ll collaborate with GL and Engineering to identify inefficiencies and translate accounting logic into system behavior to drive measurable improvements.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity, giving employees control over work-life balance. The Data Engineer role involves building highly reliable services to manage a multi-petabyte data lake in a fast-paced environment, turning vague requirements into solid solutions. It emphasizes solving challenging problems with creativity, as well as coding and testing. Responsibilities include collaborating with product managers, engineering, analytics, and business teams to build scalable data models, data extraction processes, and applications, and designing ETL pipelines into a central data warehouse. Additional duties include improving data quality, implementing data governance for security/privacy/compliance, adopting new technologies to enhance data processing, and coaching junior data engineers.

- Atlassian offers flexible work location options (office, home, or hybrid) and hires in any country where they have a legal entity. - The role focuses on using professional written and verbal communication to resolve application issues, diagnose code errors, perform root-cause analysis, and guide customers to resolution with logic and context. - It includes creating knowledge-base content, handling customer escalations, prioritizing tickets, and building relationships with development and product teams to communicate customer needs and urgency. - The position aims to develop into a highly skilled support engineer with subject-matter expertise across the Atlassian stack and to influence product direction through customer feedback. - Qualifications include 7+ years in technical software support, Java/J2EE troubleshooting, JVM, operating systems, database concepts, experience with one or more app servers, network knowledge, strong customer empathy, de-escalation and mentoring abilities, excellent communication, and strong teamwork and time-management skills.

- Atlassian offers flexible work options—office, home, or hybrid—to help employees balance family, personal goals, and priorities, and hires in any country with a legal entity. - They are seeking a Solutions Engineer ITSM/ESM to expand their enterprise business and team. - The role involves working directly with enterprise sales teams and channel partners to understand customer needs, strategize winning sales cycles, deliver value-based demonstrations, support enterprise proofs of concept, and close deals. - The candidate should be customer-obsessed and capable of collaborating with cross-functional teams to investigate client pain points and map requirements to Atlassian capabilities, while aligning the account plan with sales management. - Responsibilities also include delivering compelling presentations, demos, and proofs of concept, and working with product management to incorporate customer feedback to advance Atlassian’s product line.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. As a Senior 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 help organizations leverage Atlassian’s AI capabilities. The role emphasizes collaborating with product, engineering, and design to grow technical and domain expertise and to deliver tangible business impact in a fast-paced, high-visibility environment. You will lead the design, development, and deployment of AI/ML solutions using frameworks such as TensorFlow, PyTorch and agent platforms (LangChain, LlamaIndex), and architect robust integrations with Python or JavaScript for APIs and enterprise-scale systems. Additionally, you’ll drive data-driven development, champion AI-augmented workflow automation, oversee end-to-end production deployment with monitoring and improvement, navigate AI risk and privacy/regulatory considerations, mentor junior engineers, and communicate complex concepts clearly to stakeholders while aligning with business objectives.

- Atlassian supports flexible work options and hires in any country where it has a legal entity, giving employees greater control over family, personal goals, and other priorities. - The company began with Jira, expanded its productivity tools, and remains focused on developers as the core audience while revitalizing its product lineup for them. - Atlassian is creating a new DevAI pillar to deeply integrate AI into the developer experience, including a daily developer dash, AI-driven code reviews, and autonomous code generation to complete tasks. - The goal is to transform software development with ambitious plans that leverage the ecosystem to enhance every step of the developers' productivity cycle. - In this role, you will help innovate core intelligence solutions within DevAI, handling LLM integration, prompt engineering, and end-to-end AI features, while collaborating with scientists, software engineers, and partner teams to deliver world-class developer AI products.

Atlassian offers flexible work locations and globally hires where they have a legal entity, and is recruiting experienced architects and senior engineers for its Cloud Readiness team to design, implement, and operate services that improve enterprise cloud readiness. The role involves collaborating with other developers to produce high-quality code and deliver improvements that users love, within a ~70-person development organization and in coordination with Atlassian architects on enterprise controls and policies. Ideal candidates will have broad experience architecting and building large-scale distributed systems, with knowledge of SaaS, PaaS, IaaS and hands-on experience with at least one public cloud (ideally AWS). They should bring 10+ years of software experience, including 4+ years in an architect role across multiple teams, strong object-oriented programming skills, and the ability to drive long-term vision while working with remote teams and enterprise customers. Preferred-but-not-required qualifications include experience building public-facing data formats for SaaS and customer-facing data lifecycle management capabilities.

At Atlassian, employees can work in an office, from home, or in a hybrid arrangement, providing flexibility to support personal priorities. The company hires globally in any country where it has a legal entity. In this role, you will inspire innovation and operational excellence, own the delivery of critical projects in a microservices environment, be the engineering voice in quarterly planning, build an open and trusting operational culture, participate in hiring and budgeting, and collaborate on technical discussions to drive decisions. The background required includes 5+ years of experience managing software engineers, a CS-related bachelor's or master’s degree, experience partnering with internal customers, implementing DevOps best practices, and familiarity with public-facing high-traffic e-commerce websites. Candidates should be excited to foster a culture of continuous improvement.

Atlassian offers flexible work locations (office, home, or a mix) and hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The Support Engineer (Cloud) role provides multi-channel support (phone and email) to diagnose, reproduce, and fix technical issues in Atlassian products, requiring a motivated self-starter, self-learner, strong customer service and problem-solving skills, and a willingness to work APAC or EMEA hours with possible weekend on-call. Atlassian emphasizes a unique, energetic, collaborative environment with a casual, startup-like atmosphere and values such as Open Company, no bullshit; Play, as a team; Build with heart & balance; Be the change you seek; and Don’t #@!% the customer. Responsibilities include resolving customer configuration issues, responding to questions via email and chat, ensuring a positive experience with Atlassian Cloud products, understanding use cases, troubleshooting, and implementing workarounds for product bugs, as well as contributing to knowledge base articles and SOPs to keep content current. Additional duties involve assisting APAC customers on a 4:30 AM–1:30 PM IST shift or EMEA customers on a 12:00–21:00 IST shift (subject to DST changes) and occasionally working weekends as an On-Call engineer.

Atlassian offers flexible work locations—office, from home, or a mix—so employees can better support family, personal goals, and other priorities. The company hires people in any country where it has a legal entity. The TPM role focuses on staying current with AI and Search innovations, partnering with engineering to translate them into practical platform evolution, and defining a long-term strategy and roadmap based on business objectives and customer needs. Responsibilities include translating business objectives into technical problems, defining programs (such as capacity planning, migrations, high availability, and performance/reliability improvements), and managing the full lifecycle and cross-functional dependencies of these programs with engineers and architects. Requirements include 8+ years in software teams in roles like Development Manager or TPM, deep AI/Search domain experience, ability to translate objectives into technical programs, strong leadership and communication skills, and a preferred BS in Software Engineering or Computer Science; TPMs do not need to write code but should understand system flows, architectures, and APIs.

At Atlassian, employees can choose to work in an office, from home, or a hybrid arrangement, giving them more control to support family, personal goals, and other priorities, and the company hires in any country where it has a legal entity. The India team is growing rapidly, expanding from 0 to over 20 engineers in less than a year, and they are seeking a technical leader to drive this expansion. The Senior Engineering Manager will lead recruiting and build a high-performing team to contribute to high-scale PostgreSQL and OpenSearch platforms on Kubernetes, supporting hundreds of millions of databases with high availability and performance. Responsibilities include delivering high-quality software, growing individuals and grooming leaders, contributing to architecture, and working with leadership and partners to strategize roadmaps and provide high-quality solutions with clear OKRs and expectations. The role also involves identifying blockers, managing projects, processes, partners, and timelines, and hiring a diverse team of engineers from entry level to principal while leading a growing team of Tech Leads and Software Engineers.

As a Senior Data Scientist in Atlassian’s App Ecosystem, you will drive insights that shape app development and customer innovation, leveraging AI technologies to empower customers and partners to build next‑generation apps on Forge. Your work will inform key metrics, identify growth opportunities, and address challenges in developer and customer adoption, ensuring the ecosystem thrives amid rapid advances in AI-powered solutions, with actionable recommendations that accelerate business success and keep Atlassian at the forefront of enterprise‑grade, AI-enabled extensibility. Atlassians can choose where they work—office, home, or a blend—and interviews and onboarding are virtual as part of being distributed‑first; this remote role is for candidates based in India and requires IST hours. You will collaborate with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others to use data to identify product development challenges, influence strategy and investment decisions, quantify opportunities, and help prioritise what to build and set goals to deliver value to people, businesses, and Meta. Analytics‑focused, you will guide teams using data and insights, develop hypotheses, apply a diverse toolkit of analytical approaches, test them, build credibility as a trusted strategic partner, work with complex data sets, and identify and measure success through goal setting, forecasting, and monitoring key product metrics to drive roadmaps in collaboration with Product and Engineering.

Atlassian offers flexible work locations—office, remote, or hybrid—and can hire people in any country where it has a legal entity. The role involves influencing AI product features and roadmaps and driving change through structured analysis and recommendations. You’ll collaborate with cross-functional partners to become a trusted strategic partner by applying quantitative analysis, experimentation, and clear data presentation to develop strategies, especially for the Atlassian Intelligence suite. You’ll define and test opportunities to improve products and guide business direction, using diverse analytical methods and frameworks to test hypotheses. You’ll work with cross-functional teams to inform and execute strategy, measure success with forecasts and key metrics, and use data to shape development and ensure the products deliver value to people, businesses, and Atlassian.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where the company has a legal entity. In this role, you will influence AI product features and roadmaps and drive impactful change through structured analysis and clear recommendations, collaborating with a diverse set of cross-functional partners to become a trusted strategic partner. You will apply technical expertise with quantitative analysis, experimentation, and data presentation to develop strategies for the business and help solve its biggest challenges, with a focus on the fast-paced Atlassian Intelligence suite of features. You will develop hypotheses using analytical approaches, frameworks, and technical methods to test them, and identify opportunities to improve products, guide business direction, and influence roadmaps through insights and recommendations. You will partner with cross-functional teams to inform, influence, and execute strategy decisions; identify and measure the success of product efforts through forecasting and monitoring of key product metrics; and use data to shape product development, quantify opportunities, and ensure the products deliver value to people, businesses, and Atlassian.

The Cloud Support Engineer - EMEA provides multi-channel support (chat and email) for Atlassian Cloud products, with responsibilities including isolating, diagnosing, reproducing, and fixing technical issues quickly. The role requires a motivated self-starter and self-learner who has strong customer service and technical problem-solving skills and is willing to work EMEA hours and occasional weekends. Atlassian offers a fun, casual, collaborative environment guided by values such as Open Company, Play as a Team, Build with Heart and Balance, Be the Change You Seek, and Don’t #@!% the Customer. Atlassian supports flexible work locations (office, home, or both) and hires in any country where they have a legal entity. You will resolve customer configuration issues, respond to questions via email and chat, identify gaps and propose solutions, drive collaborative discussions, ensure positive experiences with Cloud products, troubleshoot, implement workarounds for bugs, and provide ad-hoc guidance to customers, internal teams, and partners on implementing Confluence Cloud or Atlassian Access.

Atlassian offers flexible, distributed work options—employees can work from home, in an office, or hybrid, with global hiring and virtual interviews, and a Bengaluru office while enabling remote work across India. Atlassian is a global cloud leader using PostgreSQL at scale for Jira and Confluence, running millions of Postgres databases managed through AWS services. To meet evolving needs, the company is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source technologies to pack thousands of databases into one cluster, manage connections at scale, and support custom extensions. The vision is to develop deep PostgreSQL expertise in the India team, including established PostgreSQL contributors, to drive open-source contributions and establish operational standards for schema management, upgrades, patching, and reliability. Key responsibilities include contributing to open-source projects, leading scalability and reliability initiatives for the self-managed Postgres, collaborating across teams to define strategy and deliver robust solutions, establishing best practices for distributed systems and cost optimization, and mentoring engineers toward technical excellence and open-source leadership.

Atlassian offers flexible work options—office, home, or a mix—along with virtual interviews and onboarding as part of a distributed-first approach; Bengaluru hosts the office, but eligible candidates can work remotely across India, and the company hires in any country where it has a legal entity. As a global leader in cloud collaboration and a major PostgreSQL user, Atlassian runs Jira and Confluence cloud on millions of Postgres databases managed through AWS, Aurora, and RDS, and is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source technologies to efficiently pack thousands of databases into a single cluster and support extensive extensions. The vision is to establish deep PostgreSQL expertise within Atlassian, beginning with the India team, by assembling a group of experts—including established PostgreSQL contributors—to drive open-source contributions, set operational standards for schema management, upgrades, patching, reliability, and mentor engineers to become active contributors and thought leaders. Key responsibilities include contributing to open-source projects and representing Atlassian in the PostgreSQL community, leading initiatives to improve the self-managed Postgres’ scalability, performance, reliability, and security, and collaborating with cross-functional teams to define technical strategy and deliver robust storage solutions. The company also aims to promote best practices in distributed systems, cloud infrastructure, and cost optimization while mentoring engineers to foster technical excellence and continuous learning.

Atlassian offers flexible work options—office, home, or hybrid—and operates as a distributed-first company with virtual interviews and onboarding, hiring globally, with a Bengaluru office but remote eligibility across India. Atlassian is a global leader in cloud collaboration, with Jira and Confluence cloud products running on millions of Postgres databases managed on AWS, Aurora, and RDS. To address evolving needs, they are building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source tech to pack thousands of databases into a single cluster, manage connections at scale, and support custom Postgres extensions. The vision is to establish deep PostgreSQL expertise in Atlassian, starting with the India team, assembling a group that includes established PostgreSQL contributors to drive open-source contributions, enforce operational standards, and mentor engineers. Key responsibilities include contributing to open-source projects and representing Atlassian in the PostgreSQL community, leading initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborating on technical strategy for storage challenges, promoting best practices in distributed systems and cost optimization, and mentoring engineers toward technical excellence and open-source leadership.

Atlassian offers flexible work locations—office, home, or hybrid—with virtual interviews and onboarding as part of its distributed-first approach, and hires in any country with a legal entity, including remote roles across India from its Bengaluru office. It is a global leader in cloud collaboration and a major PostgreSQL user, with Jira and Confluence cloud products running on millions of Postgres databases managed via AWS, Aurora, and RDS. To meet evolving needs, Atlassian is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source tech, designed to pack thousands of databases into a single cluster, manage connections at scale, and support custom Postgres extensions. The vision is to establish deep PostgreSQL expertise within Atlassian, starting with the India team, by hiring established PostgreSQL contributors who will drive open-source work and set standards for schema management, upgrades, patching, and reliability. They will mentor engineers to become active open-source contributors and thought leaders, lead initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborate with cross-functional teams on storage challenges, and promote best practices in distributed systems, cloud infrastructure, and cost optimization.

Atlassian offers flexible working options—office, home, or hybrid—and hires globally with virtual interviews, with its office in Bengaluru and remote-work flexibility across India. As a cloud collaboration leader, Atlassian relies on PostgreSQL for Jira and Confluence, running millions of Postgres databases on AWS, Aurora, and RDS, and is building a self-managed Postgres platform on AWS and GCP using Kubernetes and open-source technologies to scale thousands of databases and support extensions. The vision is to establish deep PostgreSQL expertise within Atlassian, starting with the India team, by assembling experts and established PostgreSQL contributors who will contribute to the Postgres open-source community. The initiative will set up operational standards for schema management, upgrades, patching, and database reliability, while mentoring engineers to become active open-source contributors and thought leaders. Key responsibilities include contributing to open-source projects, representing Atlassian in the PostgreSQL community, leading initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborating with cross-functional teams, and promoting best practices in distributed systems, cloud infrastructure, and cost optimization.

Atlassian offers flexible work locations (office, home, or hybrid) and can hire globally where they have a legal entity, with Bengaluru as their office but remote work available across India for eligible candidates. Atlassian is a global cloud collaboration leader, with Jira and Confluence cloud products running on millions of Postgres databases managed through AWS, Aurora, and RDS. They are building a self-managed PostgreSQL platform on AWS and GCP using Kubernetes and open-source technologies to efficiently pack thousands of databases into a single cluster, manage connections at scale, and enable custom and existing Postgres extensions. The company aims to establish deep PostgreSQL expertise within Atlassian, starting with the India team, to contribute to the Postgres open-source community, set up operational standards, and mentor engineers to become active contributors and thought leaders. Key responsibilities include contributing to open-source projects, leading initiatives to improve scalability, performance, reliability, and security of the self-managed Postgres, collaborating with cross-functional teams to define technical strategy, promoting best practices in distributed systems and cloud infrastructure, and mentoring engineers toward technical excellence.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally with virtual interviews and onboarding as part of a distributed-first approach. - The company's mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that enable collaboration across diverse teams and industries, evidenced by impactful uses like NASA’s Mars rover and Cochlear’s hearing solutions. - Central AI Org drives AI innovation across Atlassian products, aiming to deliver horizontal AI capabilities, a centralized Search/Q&A/Conversational AI system, and integration of AI solutions beyond the Atlassian ecosystem. - The AI & ML Platform Team seeks to democratize AI for Atlassian’s teams, customers, and ecosystem by building productive tools to develop, deploy, measure, and operate AI/ML experiences, in alignment with security and data policies and integration with the Atlassian Data Platform. - The Principal Machine Learning System Engineer role involves leading core ML infrastructure, collaborating with product teams to solve ML challenges, curating datasets, fine-tuning LLMs, and delivering end-to-end ML solutions, with requirements including 5+ years in ML infra, MLOps, large-scale distributed systems, Python and ML frameworks, cloud familiarity, and GenAI/RAG experience.

The Observability Patronus team at Atlassian builds and operates core observability platforms like Grafana Mimir and self-hosted Sentry (FedRAMP) to provide reliable, scalable, and compliant monitoring for Atlassian products. The Senior Software Engineer in Observability role focuses on building platforms and defining practices to keep products rock-solid and fast, ingesting multiple petabytes of data daily and delivering it within seconds. It’s a platform role at the intersection of infrastructure and software engineering, requiring expertise in both, and involves building ultra-high-scale metrics systems including one of the world’s largest Mimir clusters. The job involves driving complex projects autonomously from design to launch, managing mission-critical platforms, and leading automation and cost-reduction initiatives. You’ll mentor junior engineers, promote Observability standards across Atlassian teams, and deliver work that impacts thousands of engineers and services, improving product reliability.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity, giving employees greater control over family, personal goals, and priorities. You’ll join a world-class Data Science team that partners with Product Managers, Researchers, Data Engineers, Marketers, Privacy, and Executives to drive insights about products and customers. In this role, you will collaborate on diverse product and business problems with cross-functional partners and apply quantitative analysis, experimentation, and data presentation to develop strategies and solve major business challenges. You will develop hypotheses through various analytical approaches and test them, define opportunities to improve products and business, and influence roadmaps with insights and recommendations, working with cross-functional teams to inform, influence, and execute strategy decisions. You will forecast and monitor key product metrics to measure success, shape product development with data, identify opportunities and challenges, and ensure the products we build deliver value to people, businesses, and Atlassian.

The role is a Principal Data Scientist at Atlassian’s App Ecosystem, providing strategic and technical leadership to guide analytics initiatives that help customers and partners leverage AI to build innovative apps. You’ll collaborate with product, engineering, and business leaders to inform platform strategy, drive a measurement culture, and deliver insights that accelerate ecosystem growth and the adoption of AI-powered solutions. You’ll drive projects as a tech lead or mentor data scientists, champion best practices, and foster a world-class analytics culture to keep Atlassian at the forefront of SaaS extensibility and intelligence. You will work cross-functionally across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others to use data to identify major challenges, influence strategy, prioritize what to build, set goals, and quantify opportunities. Analytics work includes guiding teams with data and insights, developing hypotheses, applying diverse analytical approaches, conducting experimentation and data mining, presenting clear insights to influence partners, and defining success metrics and roadmaps.

- Atlassian lets employees choose where to work—office, home, or a mix—and hires in any country where the company has a legal entity. - Their Future Team Search Platform powers fast, relevant, and reliable search across all Atlassian products with scalable runtime systems and robust serving infrastructure to ensure quick results. - The Principal Machine Learning Systems Engineer role sits at the intersection of search, ML, and experimentation (about 70% engineering and 30% ML), tackling large projects, designing architectures, developing ranking models, driving feature engineering at scale, and overseeing end-to-end production deployment with monitoring. - The role includes leading code reviews and documentation, mentoring junior engineers, partnering with multiple teams on company-wide programs, and communicating complex concepts clearly to technical and non-technical stakeholders. - The ideal candidate has 10+ years of hands-on software/technology leadership with end-to-end lifecycle responsibility, experience with ML workflows and observability at scale, a proven track record of leading AI/ML products, a CS-focused degree, proficiency in languages such as Java or Python, and cloud experience, with preferred extras in OpenSearch/Elasticsearch, developer productivity, online/offline experimentation, CI/CD, and 2+ years running search systems at scale.

- Atlassian supports a distributed-first work model, allowing employees to work in-office, from home, or hybrid, with virtual interviews and onboarding and hiring in any country where the company has a legal entity. - The company’s mission is to unleash the potential of every team, with Jira, Confluence, and Bitbucket powering collaboration across diverse industries. - The Central AI Org drives AI innovation and builds a robust AI infrastructure, including 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 and ML for Atlassian’s teams by delivering tools that support development, deployment, measurement, and operation of AI/ML experiences, integrated with the Atlassian Data Platform. - The Principal Machine Learning System Engineer role involves building core ML infrastructure, collaborating with product teams on ML solutions, curating datasets and fine-tuning LLMs, leading projects end-to-end, and requires 5+ years of experience in ML infra, lifecycle, MLOps, distributed systems, Python and ML frameworks, plus cloud, big data, performance tuning, and GenAI/RAG experience.

Atlassian offers flexible work options—office, remote, or a mix—and hires people worldwide where the company has a legal entity, with interviews and onboarding conducted virtually as part of being distributed-first. The role centers on influencing AI product feature development and roadmaps, driving impactful change through structured analysis and recommendations. You will collaborate with a diverse set of cross-functional partners to become a trusted strategic partner, applying technical expertise with quantitative analysis, experimentation, and data presentation to shape business strategies, especially for the Atlassian Intelligence suite. You will develop hypotheses using analytical approaches, methodologies, frameworks, and technical methods to test them, and define and test opportunities to improve products, guide business direction, and influence roadmaps. You will partner with cross-functional teams to inform, influence, and execute strategy decisions, and identify and measure success via forecasting and monitoring key product metrics to understand trends, using data to shape development, quantify opportunities, identify challenges, and ensure products deliver value to people, businesses, and Atlassian.

Atlassian supports 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. In this role you will influence AI product features and roadmaps through structured analysis and clear recommendations. You will collaborate with diverse cross-functional partners and apply technical expertise, quantitative analysis, experimentation, and data presentation to develop strategies, especially for the Atlassian Intelligence suite. You will focus on developing hypotheses via various analytical approaches and test them to identify opportunities to improve products and guide roadmaps. You will partner with teams to forecast and monitor key metrics, measure success, and use data to shape product development to ensure value for customers and Atlassian.

Atlassian is seeking an experienced Manager to lead a team of Enterprise Account Managers responsible for retention and expansion of the largest enterprise customers across regions. The team handles a large global portfolio, driving revenue growth by maintaining high retention, proactively pursuing expansion opportunities, and leading upsell, upgrade, and cross-sell activities, while partnering with Global Sales to grow the total book of business and collaborating on strategic initiatives like white space analysis and account planning. The role requires a team player with strong leadership and humility in a culture that values openness, with flexibility to work in-office, from home, or hybrid, and hiring in any country where Atlassian has a legal entity. You will be accountable for team performance, revenue forecasting, prioritization across a complex ownership footprint, and cross-functional collaboration with Enterprise Sales leadership and other customer-facing teams, in addition to staffing, onboarding, and up-skilling the team and acting as the voice to escalate blockers. Finally, you will learn Atlassian’s GTM model, help build the next-generation enterprise business model globally, and own or collaborate on projects to improve practices, processes, and ways of work.

Atlassian seeks an experienced Manager to lead and motivate a team of Enterprise Account Managers focused on retention and expansion of their largest global customers. The team handles retention and expansion across over 300,000 customers, aiming to drive revenue growth across Atlassian’s full product portfolio through high retention, proactive expansion, and upsell/cross-sell throughout the customer lifecycle. Responsibilities include partnering with Global Sales to grow the Total Book of Business, collaborating on strategic opportunities (white space analysis, strategic account planning/mapping), and cross-functional work with Sales support teams, Services, Channel, and Customer Success. The role requires strong leadership with humility, acting as the voice for the team, removing blockers, and overseeing staffing, onboarding, and up-skilling; and working within Atlassian’s open, supportive culture with flexible work arrangements in any country with a legal entity. You will learn Atlassian’s GTM model and contribute to building the next-generation enterprise business model, owning or collaborating on efforts to improve processes and ways of work.

Atlassian offers flexible work options (office, home, or hybrid) with virtual interviews and onboarding, and this is a remote position, but you must be located in the Pacific Standard Timezone to support team collaboration. The role is Principal Program Manager (Technical) on the CTO Strategic Initiatives team, responsible for leading high-impact Engineering Recruiting efforts with a data-driven approach to improve recruiting workflows, the funnel, and hire quality. You will manage complex, end-to-end strategic programs, dive deep to understand the engineering landscape, and build relationships with senior leadership and cross-functional teams. You will own the execution of strategic programs focused on delivering the best outcomes for customers, represent Engineering in partnering with recruiting to align and implement strategic hiring initiatives, and develop and maintain program plans including resources, schedules, dependencies, and risks. You will establish KPIs and metrics, translate business requirements into technical specifications and tooling requirements for the internal interview management tool, provide regular updates to stakeholders and executives, and implement initiatives to enhance Atlassian Engineering’s brand to attract top talent.

Atlassian supports a distributed-first, flexible work model that lets employees choose to work from an office, from home, or a mix, and it hires globally where it has a legal entity with virtual interviews and onboarding. Its Intern program blends hands-on technical training, professional growth opportunities, dedicated mentorship, and social connections to help students hit the ground running at Atlassian. The role described is based in British Columbia, requires alignment to that time zone, and does not offer Canada work visa sponsorship now or in the future, though applicants with student work permits or open work permits are welcome. The Your Future Team portrays a world-class engineering organization focused on AI-driven innovation, high standards, data-driven and agile practices, where engineers contribute breakthrough ideas and own AI-powered features. From day one, interns will be trusted to contribute to full lifecycle product development, report to Senior Engineers, and help ship features across the core product suite—Jira, Confluence, Trello, and Bitbucket—while the team emphasizes cloud migration and continued customer value.

Atlassians can choose where they work—office, home, or a mix—and interviews and onboarding are conducted virtually as part of a distributed-first approach, with hiring in any country where Atlassian has a legal entity. The Intern program blends hands-on technical training, professional growth, dedicated mentorship, and strong social connections to help students start a successful, impactful career at Atlassian. The role is located in British Columbia, and you must be willing to work in that time zone; internships are not eligible for Canada work visa sponsorship now or in the future, but candidates with student work permits or open work permits are welcome. Atlassian's engineering organization combines technical excellence with AI-driven innovation, relying on data-driven insights and agile methods to deliver industry-leading, scalable products. Interns will be part of a unified R&D team, report to Senior Engineers, contribute to full lifecycle development, and help drive cloud migration alongside core products like Jira, Confluence, Trello, and Bitbucket.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally with virtual interviews and onboarding as part of a distributed-first approach. The company’s products—Jira Software, Confluence, and Jira Service Management—help teams organize, discuss, and complete work, with customers including Fortune 500 firms and NASA. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, driving cross-sell and expansion, and advocating for customers to product and engineering teams. The role involves developing strategic sales plans, qualifying leads, building executive relationships, negotiating contracts, forecasting, and collaborating with channel, marketing, product, and customer success to ensure client satisfaction, while staying informed on industry trends. You will build sales strategies for designated territories or named accounts, serve as the main contact and escalation point, run strategy plays to identify opportunities, and manage complex sales cycles with cross-functional collaboration, including travel to meet clients as needed.

At Atlassian, the company seeks an internationally experienced privacy attorney to join as Director of Privacy - GTM and Trust for the EMEA region, reporting to the Lead of the GTM and Trust team. The role offers flexible work arrangements (office, home, or hybrid) and can hire in any country where Atlassian has a legal entity. Responsibilities include providing expert privacy counsel to GTM and Trust across the customer lifecycle—pre-sales content, global privacy law compliance, cloud migrations, and support for strategic privacy negotiations. It also involves direct customer engagement to address EMEA-specific privacy needs, tailoring guidance to local business practices and cultural nuances. Additional duties include advising on emerging global privacy laws, preparing practical responses, and collaborating cross-functionally with Legal, Sales, Trust, Engineering, Product, Security, People, and IT to embed privacy considerations into business initiatives and roadmaps.

Atlassian supports distributed work with flexibility to collaborate from home or offices, conducts all interviews virtually, and hires in any country where it has a legal entity. The Atlassian Intern program offers hands-on technical training, mentorship, social connections, and growth opportunities to prepare students for a successful career, with this role based in the Pacific Time Zone and not eligible for F1/J1 or sponsorship. The paid internship lasts 12 weeks from May/June 2026 to August/September 2026. Atlassian is seeking Product Design Interns to join design teams in Australia, India, and the US, where interns will impact how millions of users collaborate and will be exposed to AI patterns, prototyping, motion, visual design, advanced design systems, user testing, and experimentation. Interns will be mentored by experienced designers, gain real project experience, and experience Atlassian's culture through company-wide and cross-regional programs, with a focus on improving the user experience.

Atlassian supports flexible work locations and hires globally, aligned with a mission to unleash every team’s potential. They’re investing in GenAI products—intelligent, conversational systems using retrieval-augmented generation, entity/user understanding, semantic search, and agentic interactions—to redefine how users discover information. They seek a Senior Machine Learning Manager (M60) to lead an end-to-end GenAI product initiative, turning state-of-the-art LLM capabilities into intuitive, high-value experiences. The role includes owning end-to-end product development and defining system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback, in collaboration with product and design. It also involves building and mentoring a cross-disciplinary team, fostering E2E ownership, and driving strategy to scale inference, improve performance, and uphold data quality, grounding, and responsible AI practices.

Atlassian offers flexible, distributed work with virtual interviews and onboarding, hiring globally where they have a legal entity. The company’s Teamwork Collection, including Confluence, aims to enable AI-native collaboration and knowledge management, with the Editor Platform leading AI-powered editor experiences. The role is a high-craft design leadership position focused on delivering a consumer-grade editor experience and innovative AI interaction patterns, guiding a team of product and content designers. Responsibilities include mentoring, managing multiple workstreams, collaborating with Engineering, Product Management, and Research, and aligning with stakeholders to drive cohesive end-to-end experiences. Additional duties involve defining conceptual models, championing design best practices and inclusive design, maintaining alignment across teams, and leading through change and ambiguity to ensure timely delivery.

Atlassian supports a flexible, distributed-first work model with virtual interviews and hiring in every country where it has a legal entity. The Intern program combines hands-on technical training, professional growth, dedicated mentorship, and strong social connections to launch students into a successful career, and it is preferred to be co-located in Seattle or the Pacific Time Zone. The PhD Research Intern role sits in the Machine Learning Research team, focusing on advanced ML/AI technologies such as large language models, Generative AI, conversational agents, and AI optimization to address enterprise problems. Interns will gain hands-on experience in both foundational research and practical applications, contributing to training, evaluation, and optimized inference of AI models used by millions of customers. Responsibilities include collaborating cross-functionally to design and evaluate experiments, curating large datasets, continuing training and alignment of LLMs for specialized tasks, evaluating algorithms, and contributing to publications.

Atlassian supports a distributed, flexible work model with virtual interviews and hiring in any country where they have a legal entity, with details at go.atlassian.com/distributed. Their Intern program combines hands-on technical training, mentorship, and social connections to help students launch successful, impactful careers at Atlassian. The PhD Research Intern role sits in the Machine Learning Research team, focusing on large language models, Generative AI, conversational agents, and AI optimization to tackle real-world enterprise problems. Interns gain experience in both foundational research and practical applications, including training, evaluating, and optimizing AI models, while collaborating with researchers and engineers to push AI forward. The role emphasizes cross-functional collaboration, data curation, fine-tuning and aligning models for specialized tasks, rigorous evaluation, and opportunities to publish, driving innovation in enterprise AI.

Atlassian operates as a distributed-first company with flexible work locations, conducts all interviews virtually, and hires in any country where it has a legal entity. The Atlassian Intern program blends hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set interns up for a successful career. The PhD Research Intern will join the Machine Learning Research team to work on advanced ML/AI technologies, focusing on LLMs, Generative AI, Conversational Agents, and AI optimization for enterprise applications. Interns will gain experience in both foundational research and practical applications, contributing to training, evaluation, and optimized inferencing of AI models used by millions, while collaborating with experienced researchers and engineers. The role emphasizes cross-functional collaboration, data curation and preprocessing, model training and alignment, rigorous experimentation, and opportunities to publish or present at internal workshops or top-tier academic venues.

- Atlassian’s Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful and impactful career at Atlassian. - The role is preferred to be co-located in a specified location or in the Pacific Standard Timezone. - Atlassian’s mission is to unleash the potential of every team, with products that help teams worldwide collaborate and accomplish together what cannot be done alone. - They are seeking Machine Learning engineers to advance this mission and increase team productivity across Atlassian’s product portfolio, particularly within the Machine Learning Research team focusing on LLMs, Generative AI, Search, Conversational Agents, and AI Optimization. - Daily responsibilities include designing system and model architectures, conducting rigorous experimentation and evaluations, applying AI/ML to product problems, and contributing to Atlassian Intelligence features.

Atlassian’s Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to empower students for a successful and impactful career at Atlassian. The role is preferred to be co-located to a location or in the Pacific Standard Timezone. Atlassian’s mission is to unleash the potential of every team, with their tools designed to support collaboration and make work that seems impossible alone, possible together. They are seeking Machine Learning engineers to advance AI/ML across Atlassian's product portfolio, focusing on Large Language Models, Generative AI, Search, Conversational Agents, and AI optimization to boost team productivity. Responsibilities include designing system and model architectures, conducting experiments and evaluations, applying AI/ML to product problems, and contributing to Atlassian Intelligence features.

Atlassians can choose where they work—office, home, or a mix—giving them more control over family, personal goals, and priorities. Atlassian hires in any country with a legal entity, and the role is to develop and execute a sales strategy to grow revenue for Atlassian Service Collection in North Asia. It requires defining a clear territory vision and regularly communicating on funnel, account, territory status, resource needs, challenges, and successes. The role collaborates with cross-functional teams (Enterprise Advocate, Marketing, Customer Success, Product), represents Service Collection at industry events, and ensures customer satisfaction and retention. It also involves providing accurate forecasts to senior management in Australia, working with Atlassian partners—from large IT service providers to other firms—and being among the first hires of the Singapore-based Solution Sales Executive team for Service Collection.

Atlassian operates as a distributed-first company with virtual interviews and hires in any country where they have a legal entity, details at go.atlassian.com/distributed. The Atlassian Intern program is a 12-week paid internship (May–Aug or Jun–Sept 2026) offering hands-on technical training, mentorship, and social connections, but it’s not open to F1/J1 students and has no work sponsorship. The Your Future Team places MBA interns in Platform Product Marketing to help expand government customer reach, focusing on US government work and exploring non-US opportunities after the launch of FedRAMP Moderate Atlassian Government Cloud. As an MBA Product Marketing Intern, you will conduct market research on SLED customers, analyze the competition, and support the creation of marketing assets and campaigns for public sector audiences. You will gain exposure to B2B product marketing best practices, go-to-market strategy, and cross-functional collaboration, and you’ll present findings and strategic recommendations to senior leadership across marketing, sales, and product management.

At Atlassian, work is flexible and distributed-first with virtual interviews, hiring in any country where they have a legal entity, and a 2026 internship of 12 weeks that does not provide F1/J1 eligibility or sponsorship. The internship program offers hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to set interns up for a successful Atlassian career. The Platform Product Marketing MBA Intern will lead a high-impact research and insights initiative to compare the Atlassian Cloud Platform with Microsoft and ServiceNow on Openness, Data, AI, and Trust, translating findings into messaging and campaign assets. Responsibilities include designing and executing a short survey for DC and Cloud customers, analyzing awareness and blockers, and delivering a slide report with key findings and media-ready stats, plus a competitive positioning deep dive with narrative maps, SWOT, and a battlecard. They will synthesize a narrative hierarchy, shortlist messages to test in paid media, and propose a simple measurement framework for platform share of voice and executive-targeted mentions.

Atlassian operates as a distributed-first company with flexible work locations, conducts interviews virtually, and hires in any country where it has a legal entity. Its Intern program runs 12 weeks (May–Aug or Jun–Sept 2026), emphasizes hands-on training, mentorship, and professional growth, and is not eligible for F1/J1 or any work sponsorship. The Your Future Team section centers on Loom, Atlassian’s video platform, and the MBA Product Marketing intern role focuses on shaping Loom’s go-to-market strategy and campaigns. Intern responsibilities include leading a project to expand Loom users’ real-world use cases and potentially launching a campaign, plus conducting market and competitive research to identify differentiation. They also involve supporting senior PMMs with sales enablement, contributing to marketing strategies and campaigns, and analyzing campaign performance to provide improvement insights.

Atlassian supports flexible, distributed work with virtual interviews and hires in any country where it has a legal entity. The Intern program runs for 12 weeks (May–Aug or Jun–Sept 2026) and offers hands-on technical training, dedicated mentorship, and social connections, but it does not sponsor F1/J1 visas. The MBA internship sits within the Platform Product Marketing team, focusing on State, Local, and Education (SLED) customers after the GovCloud launch to expand government opportunities. Interns will gain experience in market and competitive research, messaging, and strategy development, while collaborating with marketing, product management, and sales to impact public-sector growth. Responsibilities include researching SLED challenges and buying behaviors, analyzing competitors, creating marketing assets and campaigns for public sector audiences, and presenting findings and strategic recommendations to senior leadership across marketing, sales, and product management.

Atlassian offers flexible work arrangements and interviews conducted virtually as a distributed-first company, hires in any country with a legal entity, and provides a 12-week paid internship in 2026 (May–Aug or Jun–Sept), not eligible for F1/J1 or sponsorship. The Internship program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful Atlassian career. The specific role is a Product Marketing MBA Intern on Atlassian’s Platform Product Marketing team to drive a high-impact research initiative that compares customer perceptions of the Atlassian Cloud Platform against Microsoft and ServiceNow across Openness, Data, AI, and Trust, translating insights into messaging and campaign recommendations. Responsibilities include designing and executing a short buyer/perception survey, analyzing awareness and blockers, delivering a slide report with executive summary and media-ready stats, and conducting a competitive deep dive to map messaging by persona, produce a teardown deck with SWOT and positioning maps, and create a sales enablement battlecard. The work also involves synthesizing findings into a narrative hierarchy, proposing messages to test in paid media, and outlining a simple measurement framework for platform share of voice and executive-targeted mentions.

Atlassian embraces a distributed-first, flexible work culture with virtual interviews and hires in any country where it has a legal entity. The Intern program lasts 12 weeks (May–Aug or Jun–Sep 2026), is paid, emphasizes hands-on training, mentorship, and social connections, and does not sponsor work visas or accept F1/J1 students. The Your Future Team is Loom, Atlassian's video communication platform, and the role is a Product Marketing MBA Intern focused on Loom. You will collaborate with experienced marketers on go-to-market strategy and campaign execution, gaining experience in competitive research, product launches, community activations, and sales enablement. Key responsibilities include leading a project to expand Loom customers' real-world use cases and potentially launching a campaign, conducting market research, supporting sales enablement programs, contributing to marketing strategies, and analyzing campaign performance for improvements.

Atlassian supports flexible, distributed work with virtual interviews and hires in any country where it has a legal entity, and provides details at go.atlassian.com/distributed. The Atlassian Intern program blends hands-on technical training, mentorship, and social connections to set students up for a successful career; the role is not eligible for F1/J1 and does not sponsor work visas; the paid internship lasts 12 weeks from May–August or June–September 2026. The Your Future Team invites MBA interns to join the Platform Product Marketing team at a pivotal moment, as Atlassian Government Cloud expands to government customers and explores non-US opportunities, focusing on SLED. As an MBA Product Marketing Intern, you’ll shape how Atlassian addresses SLED needs, working with experienced marketers, product managers, and sales leaders, and gaining hands-on experience in market and competitive research, messaging, and strategy development. Responsibilities include conducting market research on SLED customers, analyzing competitors to differentiate Atlassian, supporting marketing assets and campaigns for public sector audiences, gaining exposure to B2B product marketing, GTM strategy, and cross-functional collaboration, and presenting findings and strategic recommendations to senior leadership across marketing, sales, and product management.

At Atlassian, there is a distributed-first, flexible-work culture with virtual interviews and hires in any country where the company has a legal entity. The paid 12-week internship runs May–August or June–September 2026, is not eligible for F-1/J-1 visas, and provides no sponsorship. The Intern program combines hands-on training, mentorship, professional growth, and social connections to set up a successful and impactful career. The MBA Intern in Platform Product Marketing will lead competitive and market research to compare Atlassian Cloud Platform against Microsoft and ServiceNow on Openness, Data, AI, and Trust, translating insights into messaging, assets, and measurement. They will design a buyer perception survey, conduct a competitive deep-dive, produce a teardown deck and battlecard, and propose a narrative hierarchy plus a simple measurement framework for platform share of voice and executive-channel coverage.

Atlassian supports flexible work and hires globally where they have a legal entity, with all interviews conducted virtually. The Intern program offers hands-on training, mentorship, and social connections to accelerate careers, and this role is not eligible for F1/J1 or sponsorship, running 12 weeks in 2026 (May–Aug or Jun–Sept). The position is a Product Marketing MBA Intern for Loom, Atlassian's video communication platform. The intern will collaborate with experienced marketers on go-to-market strategy, campaigns, and gain experience in competitive research, product launches, community activations, and sales enablement. Responsibilities include leading a project to expand Loom customers’ real-world use cases (with a potential campaign launch), conducting market and competitive analysis, supporting sales enablement, contributing to marketing strategies, and analyzing campaign performance for improvements.

Atlassian is a distributed-first company offering flexibility to work where teams collaborate best, with virtual interviews and hiring in any country where they have a legal entity. Their Intern program blends hands-on technical training, professional growth, dedicated mentorship, and strong social connections to help students start successful careers. The internship position is based in British Columbia and requires willingness to work there; Canada work visa sponsorship is not available now or in the future, though students with valid permits can apply. The Future Team roles involve powering a fast-growing company through data, reporting, and analytics, delivering nuanced analysis, insights, and recommendations for a market-leading product. Key responsibilities include collaborating with cross-functional teams to identify high-impact data science projects, improving user journeys by analyzing large data trends, guiding measurement culture and experiments, building dashboards, and translating insights into product improvements with product managers and engineers.

Atlassian operates as a distributed-first company with flexible work locations and virtual interviews, hiring in any country where they have a legal entity. Their Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare interns for a successful career. The position is based in British Columbia and candidates must be willing to work from that location, with Canada work visa sponsorship not available for current or future openings; candidates with a student or open work permit are welcome to apply. The role involves collaborating with cross-functional teams to identify and prioritize high-impact data science projects aligned with business goals and analyzing large data to improve user journeys and customer value. It also includes building dashboards, guiding measurement culture and experiments, and translating insights into product improvements with product managers and engineers.