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The Account Executive, Mid-Market in the Benelux region is a senior, quota-carrying sales role responsible for driving strategic revenue growth across a defined mid-market book and serving as the quarterback of the end-to-end commercial process from outbound pipeline generation through discovery, negotiation, and close. You are expected to move beyond transactional selling to position Atlassian’s System of Work as a catalyst for long-term business transformation, building data-driven territory plans, engaging C-level stakeholders through strategic briefings, and conducting advanced performance analyses to identify market trends. Responsibilities include hunting and expanding territory pipeline by executing proactive plans that target net-new acquisition and white-space across unaddressed departments, and driving full Atlassian platform adoption by treating cross-selling as a net-new sales motion across Jira Service Management, Work Management, and AI/Rovo to new budget holders in IT, Ops, and Business teams. You will lead strategic cloud roadmaps and enterprise elevation by partnering with customer leadership to define multi-year Cloud evolution roadmaps, elevating mature accounts to Cloud Enterprise and Premium tiers by aligning platform capabilities to top-line objectives, and establishing executive sponsorship with structured Mutual Success Plans. You will own end-to-end value deals using disciplined value-selling methodologies (e.g., MEDDPICC) to build defensible TCO/ROI cases, navigate security and legal reviews, orchestrate virtual account teams and partner co-selling, forecast rigorously in Salesforce, and mentor the team to sharpen outbound hunting and closing motions.

Atlassian offers flexible work options—office, remote, or a mix—and emphasizes supporting employees' family, personal goals, and priorities. Data is central to Atlassian, with billions of events ingested monthly into its analytics platform, and dozens of teams relying on it to drive critical decisions. The company builds and manages an analytical and operational data store that enables teams to make informed decisions and run operations on trusted data and services. They are looking for a Senior Data Engineering Manager to join the Finance Data Engineering team within the Data Engineering department. Key responsibilities include leading and developing a team of data engineers, providing deep technical data engineering guidance, driving engineering excellence and process improvements, and partnering with cross-functional teams such as Business, Data Science, and Analytics Platform.

Atlassian offers flexible work options (office, remote, or hybrid) and can hire in any country where it has a legal entity to support employees’ family and personal priorities. Data is central to Atlassian, with billions of events ingested monthly into its analytics platform that many teams rely on to drive critical decisions, along with a data store that enables trusted data and services. They are seeking a Senior Data Engineering Manager for the Finance Data Engineering team within the Data Engineering department to further democratize data and build exceptional data products. Key responsibilities include leadership (hiring, coaching, mentoring, and career development for data engineers), technical guidance in a scalable data engineering ecosystem, and driving engineering excellence through culture and process improvements. The role also requires collaboration with cross-functional teams (Business, Data Science, Analytics Platform) to foster a collaborative culture.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever there is a legal entity. As a Principal Engineer in Search Platform, you will lead the technical vision, architecture, and delivery for planetary-scale data ingestion and indexing powering Atlassian Search and Rovo, ensuring enterprise-grade trust across multi-cloud (GCP/AWS), isolated cloud, compliance, and encryption. Key responsibilities include owning the Enterprise Trust & Compliance strategy (multi-cloud, FedRAMP, BYOK encryption, data residency) and proactively simplifying architecture while shaping the indexing platform for AI-era workloads to meet freshness, relevance, and scale across billions of events. You will collaborate across ML, Data, Cloud Infrastructure, and product teams to align technical direction, unblock dependencies, and build shared platform capabilities that amplify impact beyond your own team, while improving enterprise platforms and reducing complexity. The role also focuses on system efficiency at scale—boosting ingestion throughput, data freshness, and reliability while optimizing unit economics through smarter sharding, disaggregated storage, and compute efficiency—and staying ahead of advances in agentic retrieval architectures, vector/hybrid indexing, and agentic memory to accelerate Atlassian's roadmap.

Atlassian offers flexible work options—office, remote, or hybrid—giving employees control over family and personal priorities, and hires in any country with a legal entity. The Principal Engineer, Search Platform, acts as a technical leader responsible for the core indexing engines and enterprise-grade trust powering Atlassian Search and Rovo, guiding the vision, architecture, and delivery for planetary-scale data ingestion across multi-cloud, isolated cloud, compliance, and encryption. Responsibilities include owning enterprise trust and compliance—covering multi-cloud (GCP/AWS), isolated cloud, FedRAMP, BYOK encryption, and data residency—to make Search a trusted platform. The role shapes the indexing platform for AI-era workloads, focusing on high-throughput, low-latency pipelines to meet AI and agentic retrieval needs across billions of events. It also requires cross-team collaboration across ML, Data, Cloud Infrastructure, and product groups, plus driving system efficiency through smarter sharding, disaggregated storage, and compute efficiency, while staying ahead with advances in vector/hybrid indexing and agentic memory to accelerate Atlassian’s roadmap.

Atlassian offers flexible work options and hires globally wherever there is a legal entity. They are seeking an open-minded, structured thinker to serve as Principal Data Engineer, acting as tech lead and architect to build scalable data solutions that power crucial business decisions and foster a data-driven culture. Responsibilities include delivering incrementally, setting technical direction, ensuring data quality, addressing performance, scale, and security, and driving complex data engineering decisions. The role involves coordinating and mentoring a team of data engineers, working closely with the engineering manager, and collaborating with cross-functional partners. It requires understanding the problem space to architect solutions and enable the team while balancing customer needs with long-term maintainability and scalability.

At Atlassian, employees can work in an office, from home, or a hybrid setup, and the company hires globally wherever they have a legal entity. They are seeking a Principal Data Engineer to serve as tech lead and architect, building world-class data solutions that power crucial business decisions and foster a data-driven culture. The role involves setting technical direction, coordinating data engineering work, delivering incrementally, and maintaining data quality while addressing performance, scale, and security concerns. It also includes understanding problems, designing solutions, mentoring a team of data engineers, and collaborating with the engineering manager to grow the team. Finally, the position requires working with cross-functional counterparts to build a culture of data-driven practices and balance customer and business needs with long-term maintainability and scalability.

Atlassian supports flexible work arrangements (office, home, or a hybrid) and hires in any country where it has a legal entity. The position leads a team of enterprise Account Executives to achieve sales targets and revenue goals, develops strategic plans to penetrate and expand the enterprise market, and mentors the sales team to meet individual targets. It also involves setting performance metrics, recruiting and onboarding new sales members, collaborating with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to streamline processes, analyzing sales data and market trends, conducting evaluations, managing key client relationships, negotiating as needed, and reporting progress to senior management. Qualifications include 10+ years in sales with 5+ years in management (preferably as a second-line Sales Leader), a strong track record of meeting or exceeding targets, experience with CRM, pipeline management, and analytics tools, and fluency in French preferred; plus experience in value-driven, solution-oriented consultative selling and building relationships with senior stakeholders. The ideal candidate enjoys challenging the traditional sales model, thrives in a fast-paced international environment, takes initiative, experiments, and shares findings with the team.

At Atlassian, employees can work in an office, from home, or a combination, and the company hires people in any country where it has a legal entity. The role leads and manages a team of enterprise Account Executives to achieve sales targets and revenue goals, develops strategic plans to expand enterprise market share, and provides mentorship to the sales team. Responsibilities include setting performance goals, monitoring progress, recruiting and onboarding new sales staff, and collaborating with internal teams (Channel Partners, Product Specialists, Account Managers, and Solution Engineers) to streamline processes and enhance customer satisfaction. The position also involves analyzing sales data and market trends, conducting performance evaluations, managing key client relationships, and delivering regular updates on sales performance to senior management while staying informed about industry trends. Qualifications cover 10+ years in sales with 5+ years in management, preference for second-line Sales Leader experience, a strong track record of targets, CRM/pipeline/analytic skills, French fluency preferred, and a proven ability to coach and lead in consultative, value-driven selling within a fast-paced international environment.

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

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country where it has a legal entity to help employees manage family, personal goals, and priorities. They are looking for a strategic, highly analytical Finance professional to own financial planning and management for Central AI's infrastructure and token finance, partnering with Engineering, Product, Business Operations, and Finance leadership. The role will forecast, budget, and model for AI infrastructure and token spend, including annual and long-range planning, scenario analyses, and ad hoc analyses to inform key business decisions, in a context of shifting usage patterns, model mix, vendor economics, and technology. The ideal candidate is comfortable operating in ambiguity, can translate large data into actionable insights, and has the judgment to know when deeper analysis is required versus providing a timely directional answer. Requirements include 10+ years of complex financial modeling and driver-based forecasting, experience in software and cloud economics with the ability to translate cost drivers into COGS and margins, knowledge of LLM/token economics or comparable consumption-based models, strong analytical judgment, independence in ambiguity, excellent executive communication, and a high say/do ratio in a fast-paced environment.

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

Atlassian offers flexible work locations (office, home, or a hybrid) and hires in any country where they have a legal entity, serving more than 300,000 customers worldwide. The company’s mission is to unleash every team’s potential through software, guided by a culture of supporting each other and the value “play as a team,” with employees working with Atlassian, not for Atlassian. The sales role features strong earning potential and targets a vast enterprise market, focusing on building relationships with key stakeholders and collaborating with internal teams to ensure customer success. Responsibilities include developing named account or territory plans, executing strategic sales efforts, qualifying leads, presenting to decision-makers, negotiating contracts, closing deals, and providing accurate forecasting while maintaining executive relationships. Additional duties involve staying industry-aware, traveling to meet clients, building long-term sales strategies for designated accounts, and working cross-functionally with channel sales to navigate complex sales cycles and drive revenue growth.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, serving 300,000+ customers worldwide. Their mission is to unleash the potential of every team through software, supported by a culture of teamwork—“play as a team”—where employees work with Atlassian, not for Atlassian, and there is strong earning potential in sales due to the enterprise market. The sales role involves building and nurturing relationships with key stakeholders, negotiating complex contracts, and collaborating with internal teams such as Channel Partners, Product Specialists, Account Managers, and Solution Engineers to ensure customer satisfaction. The ideal candidate is customer-focused, creative, with a hunter mindset, adept at identifying business needs and crafting solutions for Fortune 500 companies. Responsibilities include developing and executing territory or named-account plans, leading strategic sales initiatives, qualifying leads, maintaining executive relationships, cross-functional collaboration, pricing negotiations, accurate forecasting, staying updated on industry trends, traveling as needed, and running strategy plays to identify opportunities and build long-term relationships in complex sales cycles.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity to support employees' priorities. They’re seeking product-minded Principal Engineers, a hands-on senior individual contributor role that sits at the seam between deep technical craft and sharp product judgment. You’ll own customer-facing features end-to-end across the full stack (React/TypeScript front ends, backend services, and APIs), shaping what gets built and shipping measurable outcomes. Responsibilities include defining success metrics (north star and guardrails), instrumenting and monitoring with telemetry, running root-cause deep-dives, and designing AI-enabled and agentic experiences that integrate LLMs. You’ll set technical direction, influence product strategy, mentor others, and drive high-leverage prototyping to production-grade, scalable solutions.

Atlassian allows flexible work locations—office, home, or a mix—and hires in any country where it has a legal entity. They are seeking product-minded Principal Engineers who are hands-on senior individual contributors, able to blend deep technical craft with sharp product judgment and own the work end to end. In this role you’ll own customer-facing products across the full stack—from React/TypeScript front ends to backend services and APIs—and drive architecture and decisions based on user and business outcomes. You’ll use telemetry and user data to define success metrics, monitor performance, perform root-cause analyses, and adjust plans as needed, while designing and building AI-enabled, agentic experiences that integrate LLMs for millions of users. The role also involves setting technical direction, collaborating with product managers, designers, and platform teams, mentoring others, and rapidly prototyping to production-grade, scalable solutions.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity. They are looking for product-minded Principal Engineers for a hands-on, senior individual-contributor (P60) role who blend deep technical craft with sharp product judgment. You will own customer-facing products end-to-end across the full stack (React/TypeScript front ends, backend services, APIs) and drive what gets built to achieve measurable outcomes. You’ll use telemetry and user behavior to define success metrics, instrument and monitor, perform root-cause analyses, iterate, and design AI-enabled experiences integrating LLMs for millions of users. You’ll set technical direction, influence product strategy, collaborate with product managers, designers, and platform teams, and raise the engineering bar through code reviews and mentoring while moving high-leverage problems from prototypes to production-ready scale.

Atlassian offers flexible work options (office, home, or a mix) and hires globally in any country where they have a legal entity, giving employees control over family, personal goals, and priorities. They’re seeking product-minded Principal Engineers—a hands-on P60 individual contributor who sits at the seam between deep technical craft and sharp product judgment. You’ll own customer-facing products end to end across the full stack (React/TypeScript front ends, backend services, APIs), shaping what gets built and delivering AI-native and agentic experiences used by teams worldwide. Responsibilities include setting architecture and technical direction to align with user and business outcomes, using telemetry and metrics to define success, instrumenting and analyzing data, and refining designs accordingly. You’ll lead by craft, raise the engineering bar through code reviews and mentoring, partner with product managers, designers, and platform teams, and focus on high-leverage problems, rapid prototyping, and production-grade scale.

Atlassian offers flexible work locations and hires globally in any country with a legal entity, giving employees control over work-life priorities. They are seeking product-minded Principal Engineers—hands-on senior individual contributors who blend deep technical craft with sharp product judgment. You’ll own customer-facing features end-to-end across the full stack (React/TypeScript front ends, backend services, and APIs) and help shape what gets built, not just how. Responsibilities include making architecture and technical decisions aligned to user and business outcomes, using telemetry to define success metrics, and designing AI-enabled experiences that leverage LLMs for millions of users. You’ll set technical direction, collaborate with product managers, designers, and platform teams, elevate engineering quality through code reviews and mentoring, and move high-leverage prototypes toward production-scale systems.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity to support employees' family and personal goals. They’re looking for product-minded Principal Engineers — senior individual contributors who operate at the intersection of deep technical craft and sharp product judgment and own customer-facing products end-to-end. You’ll own features across the full stack (React/TypeScript front ends, backend services, and APIs), shape what gets built, and drive projects from ambiguous problems to shipped, measurable outcomes. You’ll design AI-enabled, agentic experiences by integrating LLMs, define success metrics, instrument and monitor outcomes, and set technical direction in collaboration with product managers, designers, and platform teams. You’ll raise the engineering bar through code reviews and mentoring, focus on high-leverage problems, prototype quickly, and push prototypes to production-grade quality at scale.

Atlassian offers flexible work options—employees can choose office, remote, or hybrid setups, hire in any country with a legal entity, and complete interviews and onboarding virtually as part of a distributed-first approach. This is a remote field sales position based in the Netherlands. You'll develop and implement strategic sales and account plans to maximize expansion opportunities and ensure customer success, while building relationships with key decision-makers and C-level executives in strategic accounts. You'll understand customer objectives and challenges, position solutions to meet their needs, lead internal teams and partners to streamline sales processes and enhance customer satisfaction, and lead complex negotiations, market research, and awareness of industry trends to identify opportunities. You'll provide sales performance updates to senior management and engage with clients through travel and participation in industry events.

Atlassian offers flexible work locations—office, home, or hybrid—under a distributed-first approach. They hire in any country with a legal entity, and interviews and onboarding are conducted virtually. The role is a remote, field sales position based in the Netherlands. You’ll develop and implement strategic sales and account plans, build relationships with key decision-makers and C-level executives, understand customer objectives, lead internal teams, negotiate, conduct market research, and stay informed on industry trends to identify opportunities. You’ll also provide sales performance updates to senior management and engage with clients through travel and industry events to drive customer success and expansion.

Atlassian offers flexible work options, allowing remote or office collaboration, with hires in any country where they have a legal entity. For this internship, the role is based in the Seattle or San Francisco hub, and it is not eligible for F1/J1 visas or sponsorship. The Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to prepare students for a successful engineering career. The Security intern will join Atlassian's Security team, report to a Security Engineering Manager, and work with a mentor on a scoped project addressing a real security problem. Responsibilities include owning the project from problem understanding to building and documenting a solution, developing tools and automation, conducting security research, using AI-assisted coding tools, and collaborating with security and software engineers to present and maintain the solution.

Atlassian offers flexible work options and hires in any country with a legal entity, supporting distributed collaboration across home, offices, or both. The Intern program combines hands-on technical training, mentorship, and social connections to set interns up for a successful and impactful career at Atlassian, with the role based in the Seattle or San Francisco hub (you must work from one of these hubs). The Security team internship involves overseeing Atlassian services for tens of thousands of customers, reporting to a Security Engineering Manager and mentored by senior engineers. Interns will own a scoped security engineering project from problem understanding to building, testing, and documenting the solution, with potential projects including automated security testing, investigation tools, or risk-prioritization systems. Responsibilities include developing tools to find security weaknesses, conducting research to distinguish actionable findings from false positives, using AI-assisted coding and research tools, possibly building AI-assisted security capabilities, and collaborating with security and software engineers to present and maintain the solution.

- Atlassian supports flexible work locations and hires in any country with a legal entity, embracing a distributed work approach. - Their Internship program combines hands-on technical training, dedicated mentorship, and strong social connections to prepare students for a successful Atlassian career. - The Summer 2027 paid internship is a 12-week role based in the Seattle hub, with no eligibility for F1/J1 visas and no sponsorship. - The position is a Research Intern on the AI Research Systems (AIRS) team within Research and Insights, focused on enabling AI-native workflows for researchers and delivering insights to cross-functional partners. - Responsibilities include reporting to a Research Manager, building AI tools, pipelines, and systems for R&I, and conducting a research project with existing AI tooling, with minimum qualifications of 12 weeks full-time and returning to studies; preferred qualifications include experience with AI tools (e.g., Claude, Code, Codex), understanding of the research process, qualitative/quantitative UX methods, and data management/analysis.

Atlassian supports a flexible, distributed-first work model with virtual interviews and hiring in any country where the company has a legal entity. Their Grad++ program offers hands-on technical training, professional growth, dedicated mentorship, and strong social connections to set students up for success at Atlassian. The role is based in the Seattle hub and requires working from that hub; it is not eligible for F1 or J1 visas, and sponsorship is not available. Atlassian’s machine learning teams collaborate across Product, Engineering, Growth, GTM, Finance, and Sales to build ML infrastructure and intelligent product experiences, with opportunities in search, recommendation, personalization, Generative AI, and large language models. Responsibilities include building and evaluating ML models and Generative AI applications, using data and experimentation to improve quality, translating customer and business problems into technical solutions with cross-functional partners, contributing across the ML lifecycle from prototyping to deployment and monitoring, and developing agentic workflows that combine LLMs, tools, and product context to solve complex problems.

Atlassian offers flexible work locations and hires in any country where it has a legal entity, with distributed-work details available online. The intern program provides hands-on technical training, professional growth, dedicated mentorship, and social connections to set interns up for a successful Atlassian career, and the role is based in the Seattle hub (candidates must work from Seattle; it’s not eligible for F1/J1 or sponsorship). The paid internship runs for 12 weeks from May/June to August/September 2027. The Future Team internship focuses on data, reporting, and analytics to support a market-leading product, requiring development of data-driven hypotheses, rigorous statistical evaluation of experiments and user behavior, cross-functional collaboration, analysis of telemetry to surface growth opportunities, and building dashboards, reproducible notebooks, or AI agents. Candidates should have SQL and Python or R, knowledge of statistics and experimental design or ML fundamentals, experience with BI tools, familiarity with GenAI workflows, strong communication, and must be enrolled in a Masters program returning after the internship, graduating by August 2028, and commit to 12 weeks full-time in Summer 2027.

The Principal Data Scientist role at Atlassian focuses on scaling a fast-growing company by applying analytics, data science, and AI to support the Service Collection initiative. It aims to identify opportunities and build tools and solutions that influence the Service Collection roadmap and speed decision-making with data insights. The candidate should have superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, expertise in AI/LLMs, and experience partnering with cross-functional teams and mentoring junior data scientists. Atlassian offers flexible work arrangements and can hire in any country with a legal entity. Responsibilities include influencing strategy, defining department-level KRs, building measurement frameworks and ML models, leading high-impact projects with Engineering, Product, Design, Data Engineering and Research & Insights teams, and fostering a data science culture through training and mentorship.

Atlassian is seeking a Principal Data Scientist to leverage analytics and AI/ML to support a strategic Service Collection initiative in a fast-growing company. The role will identify opportunities, build tools and solutions that influence the Service Collection roadmap and accelerate decision-making across business units with data insights. The candidate should have superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, AI/LLM expertise, cross-functional partnership experience, and mentoring of junior data scientists. Atlassian offers flexible working arrangements (office, home, or hybrid) and hires from any country with a legal entity. Responsibilities include shaping strategy, defining department-level key results, building measurement frameworks and ML tools, leading high-impact cross-functional projects, and fostering a world-class data science culture through training and mentoring.

The role is for a Principal Data Scientist at Atlassian focused on Service Collection, using analytics, data science, and AI/ML to identify opportunities and influence the product roadmap. The candidate should combine strong business acumen with proficiency in statistics and AI/LLM, be comfortable with executive stakeholders, partner across functions, and mentor junior data scientists. Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity. Responsibilities include shaping strategy for Service Collection, defining and reporting department-level key results, and building measurement frameworks and ML tools to accelerate growth while guiding cross-functional projects. The role also emphasizes developing a world-class data science culture through training, continuous learning, and mentoring the team.

The Enterprise Security Engineer at Atlassian is a hands-on role responsible for implementing, operating, and improving security controls across identity, endpoints, cloud, SaaS, data, and workforce technologies, turning security strategy into practical, secure-by-default controls that don’t slow the business. They partner with Enterprise IT, Corporate Engineering, SRE/Platform teams, Legal, Privacy, Product Security, and other stakeholders, participate in Atlassian’s Customer Zero initiative, and are based in Australia/New Zealand. Key duties include designing and maintaining security controls across identity, access, cloud (AWS/GCP), SaaS, and data-protection domains; remediating gaps; enabling secure baselines; conducting security reviews for new tools and workflows; and supporting cyber-related physical security integrations. The role also covers identity lifecycle, privileged access, authentication/authorization, insider risk monitoring, cloud and endpoint protection, DLP and data classification, automation, IaC/CI-CD security checks, on-call rotations and post-incident reviews, and SaaS supply chain/vendor risk assessments. Success is measured by timely delivery of tasks and deployments, reduction of security escalations, development of reliable automation, closure of posture gaps, and effective cross-functional collaboration and continuous learning.

The Enterprise Security Engineer is a hands-on role that implements, operates, and improves security controls across identity, endpoints, cloud, data, and workforce technologies, turning enterprise strategy into practical, secure-by-default solutions. They partner with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders, and participate in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption; the role is based in Australia/New Zealand. Core responsibilities include designing, implementing, operating, and maintaining controls across identity, access, cloud (AWS/GCP), SaaS, and data-protection domains, remediating gaps in access controls, device posture, SaaS configurations, and sensitive data protections, and assisting with secure baseline configurations and reviews for new tools and workflows. The role also supports cyber-physical security operations, including integrations between physical access-control systems and identity platforms, monitoring access lifecycles, and addressing facility-related cyber risks, while strengthening identity lifecycle management, privileged access, authentication, authorization, and access reviews. Success is measured by timely execution of technical tasks and deployments, reduced security backlog and toil, effective automation and tooling, closed posture gaps, and strong cross-functional collaboration and learning.

The Enterprise Security Engineer is a hands-on role responsible for designing, implementing, operating, and continuously improving security controls across Atlassian’s corporate architecture—including cloud, SaaS, endpoints, identity, data, and workforce technologies—translating enterprise strategy into secure-by-default solutions that reduce risk without slowing the business. The engineer partners with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders to deliver scalable security improvements and participates in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption; the role is based in Australia/New Zealand. Core responsibilities include strengthening identity, access, and human risk; implementing cloud, SaaS, and endpoint protection; advancing data protection and secure baselines; and participating in security reviews for new tools and SaaS integrations, as well as supporting cyber-related physical security operations. Additional focus areas cover automation, infrastructure-as-code and CI/CD security checks, tracking operational metrics, running SOPs and runbooks, and contributing to incident response and post-incident reviews. Success is measured by on-time delivery of technical tasks and control deployments, reduced toil and backlog, reliable automation, measurable improvements in posture across SaaS/ends/IAM, and effective collaboration with cross-functional teams.

The Enterprise Security Engineer is a hands-on role based in Atlassian’s Australia/New Zealand entities who implements, operates, and improves security controls across identity, endpoints, cloud, SaaS, data, and workforce technologies, translating enterprise security strategy into secure-by-default, measurable controls that reduce risk without slowing the business, including validating capabilities internally as part of the Customer Zero initiative. The engineer partners with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders to deliver scalable security improvements across Atlassian’s corporate environment and to roll out secure baselines and paved-path configurations across internal teams. Core duties include strengthening identity lifecycle management, privileged access, authentication and authorization, monitoring insider risk, validating agentic identity and AI-native governance, and supporting secure service accounts and automated bot credentials, with broader efforts to ensure secure adoption across internal services. Cloud, SaaS, and endpoint protection involve implementing guardrails and posture baselines for AWS/GCP and SaaS like Google Workspace, Slack, Okta; maintaining endpoint security agents and device/compliance baselines; and supporting DLP and data-classification controls, as well as security reviews for new tools and integrations. The role also covers SaaS supply chain and third-party risk evaluations, incident response and on-call duties, automation and operational excellence through scripting and IaC/CI-CD security checks, and is measured by delivery of tasks, reduced manual toil, improved security hygiene, and effective collaboration across teams.

The Enterprise Security Engineer is a hands-on role that implements, operates, and improves security controls across corporate architecture, SaaS, cloud, endpoints, identity, data, and workforce technologies, translating strategy into practical, secure-by-default controls that reduce risk without slowing the business. They partner with Enterprise IT, Corporate Engineering, SRE, Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders to deliver scalable security improvements across Atlassian’s corporate environment, and as part of Atlassian’s Customer Zero initiative validate and refine capabilities internally before broader adoption, based in Australia/New Zealand. The role covers designing, implementing, operating, and maintaining security controls across identity, access, cloud (AWS/GCP), SaaS, endpoints, and data-protection domains, remediating gaps in access controls, device posture, SaaS configurations, and SaaS supply chain/third-party risk evaluations, and assisting with secure baselines and paved-path implementations. It includes security reviews for new tools, internal workflows, and SaaS integrations; monitoring insider risk signals and anomalous access patterns; enforcing service accounts and automated bot credentials; implementing guardrails, DLP, and data-classification controls; maintaining physical security integrations with identity platforms and monitoring facility-related cyber risks; and participating in on-call rotations and post-incident reviews. Success is measured by execution and delivery of scoped tasks and automation milestones on time; triage of security escalations and backlog reduction; development of reliable scripts and tooling; remediation of posture gaps; and collaboration to expand technical depth across enterprise security domains.

The Enterprise Security Engineer is a hands-on role responsible for implementing, operating, and improving security controls across corporate architecture, cloud services, endpoints, identity, data, and workforce technologies, translating strategy into practical, secure-by-default measures. They collaborate with Enterprise IT, Corporate Engineering, SRE and Platform teams, Business Systems, Product Security, Legal, Privacy, and other stakeholders, and participate in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption, based in Australia/New Zealand. The role designs, implements, operates, and maintains security controls across identity, endpoints, network, cloud (AWS/GCP), SaaS, and data protection, remediating gaps and rolling out secure baseline configurations and paved-path implementations. It includes strengthening identity and access governance, monitoring insider risk, securing service accounts and bot credentials, and implementing guardrails, DLP, and data-classification across cloud, SaaS, and endpoint environments, while contributing to security reviews for new tools. You’ll also build automation and infrastructure-as-code security checks, participate in on-call rotations and post-incident reviews, and assess SaaS supply chain and third-party risk, with success measured by timely delivery, reduced toil, improved security hygiene, and effective cross-functional collaboration.

The Enterprise Security Engineer is a hands-on role that implements, operates, and improves security controls across Atlassian’s corporate architecture, including identity, data, endpoints, cloud, SaaS, and workforce technologies. The role translates enterprise security strategy into practical, secure-by-default solutions, partners with Enterprise IT, Corporate Engineering, SRE and Platform teams, Legal, Privacy, and other stakeholders, and participates in Atlassian’s Customer Zero initiative to validate capabilities internally before broader adoption, based in Australia/New Zealand. Responsibilities include designing, implementing, and maintaining controls across identity, access, cloud (AWS/GCP), SaaS, endpoints, and data protection; remediating gaps; rolling out secure baselines; participating in security reviews; and executing SaaS supply chain and third-party risk evaluations with vendor remediation. Additional duties cover security operations support for cyber-physical security, maintaining endpoint agents, DLP and data-classification controls, and driving automation, infrastructure-as-code, CI/CD security checks, on-call rotations, and post-incident reviews. Success is measured by timely delivery of tasks and control deployments, reduced security backlog and toil, reliable automation, improvements in security hygiene across SaaS, endpoints, and IAM, and effective cross-functional collaboration and continuous learning.

The Enterprise Security Engineer is a hands-on role (based in Australia/New Zealand) responsible for designing, implementing, operating, and improving security controls across identity, endpoints, cloud, SaaS, data, and related workforce technologies, translating strategy into secure-by-default solutions and partnering with IT, engineering, security, Legal/Privacy, and business stakeholders. It includes participating in Atlassian’s Customer Zero initiative to validate and enhance security capabilities internally before broader adoption. Core duties encompass building and maintaining controls, remediating gaps in access, device posture, SaaS configurations, and data protections; rolling out secure baselines; conducting security reviews for new tools and SaaS integrations under senior guidance; and supporting cyber-related physical security operations. The role emphasizes Identity, Access & Human Risk management, cloud, SaaS, and endpoint protection, including identity lifecycle management, privileged access, authentication/authorization, access reviews, insider risk monitoring, and secure service accounts and bot credentials. Success is measured by timely delivery of tasks and automation milestones, efficient triage of security escalations, reduction of manual toil, remediation of posture gaps across SaaS/endpoints/IAM, and effective collaboration with cross-functional teams.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. They’re seeking a Lead Product Designer for the Rovo & AI team to shape Rovo and AI experiences across Atlassian apps like Jira, Confluence, and Bitbucket by collaborating with teams throughout Atlassian. The role entails leading the strategic vision and conceptual design, applying systems thinking, and driving visual and interaction design while running design reviews and coaching other designers for cohesive AI experiences. You will lead design projects end-to-end, work with leadership and cross-functional teams to unify AI capabilities, tie outcomes to customer value with success metrics, and identify opportunities to enhance products and accelerate AI and search experiences. Qualifications include 10+ years in enterprise product design, experience delivering organization-wide design programs, end-to-end UX design, storytelling, balancing user needs with business/technical feasibility, facilitation and collaboration, design systems, and measuring success with qualitative and quantitative methods.

Atlassian supports flexible work arrangements and hires in any country where we have a legal entity; the Lead Product Designer will join the Rovo & AI team, primarily based in Australia and the west coast of North America, focusing on Rovo and AI experiences across Atlassian apps like Jira, Confluence, and Bitbucket. You will lead the strategic vision and conceptual design for customer experiences across the AI landscape, applying systems thinking to understand complex relationships between products, channels, and features. You will drive design reviews, serve as the design craft leader and coach to other designers, and partner with leadership and cross-functional teams to create a unified AI capabilities view across Atlassian. You will lead design projects end-to-end, tying them back to customer value delivery and outcomes, and identify metrics to ensure ongoing value while identifying opportunities to enhance products and accelerate AI and search experiences. Qualifications include 10+ years of enterprise software design, experience with strategic org-wide design programs, end-to-end UX design, storytelling, balancing user needs with business and technical feasibility, strong facilitation and collaboration skills, design systems experience, and the ability to measure success with qualitative and quantitative methods and improve processes to boost value and adoption.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. - They’re seeking a Lead Product Designer for the Rovo & AI team to shape AI experiences across Atlassian apps, with the team primarily based in Australia and the west coast of North America. - Responsibilities include leading the strategic vision and design for AI experiences, applying systems thinking, delivering strong visual and interaction design, leading design reviews and coaching designers, partnering with leadership to unify AI capabilities, and guiding end-to-end design projects tied to customer value. - You will identify success metrics, identify opportunities to enhance products and accelerate AI and search experiences, and collaborate with engineers, product managers, content designers, researchers, marketing, and analysts to advocate for the user experience and deliver high-quality work. - Qualifications require 10+ years of enterprise product design experience, experience delivering organization-wide design programs, end-to-end UX/product design, storytelling, balancing customer needs with business/technical feasibility, facilitation and cross-functional collaboration, design systems experience, and the ability to measure success and improve processes to increase product value, velocity, and adoption.

Atlassian offers flexible work arrangements—office, home, or hybrid—with a preference for being in the San Francisco Bay Area or US West Coast, but hires are possible in any country where the company has a legal entity. As a Lead Design Technologist, you lead projects that affect multiple departments and deliver scalable design technology solutions that empower product builders across Atlassian, enabling PM/Eng/Design peers and driving AI-led prototyping and workflows. You’ll join the Design Technology team within the Core Design organization and report to the Senior Manager for Design Technology, building foundational tools, components, and AI-native product builder workflows used across Atlassian apps. The team is multidisciplinary, drawing from design, engineering, and product, and collaborates with product, engineering, and accessibility experts to create scalable, inclusive design solutions at enterprise scale. Responsibilities include delivering across multiple workstreams, championing rapid prototyping and cross-functional collaboration, mentoring less experienced designers and technologists, enhancing workflows with custom tooling and automation, solving complex design technology issues with AI/LLMs, showcasing advanced JS/framework and motion design skills, co-creating sense-making artifacts, and driving adoption of best practices and continuous improvement.

At Atlassian, you can work in an office, from home, or in a hybrid setup, with a preference for the San Francisco Bay Area or US West Coast, but hires are possible in any country with a legal entity. The Lead Design Technologist leads projects across departments and is responsible for delivering high-quality, scalable design technology solutions that enable all product builders and drive AI-enabled prototyping, motion, and design workflows. They will join the Design Technology team within the Core Design organization, a multidisciplinary group building foundational tools, components, and AI-native product builder workflows, collaborating with product, engineering, and accessibility experts to create scalable, inclusive design at enterprise scale. Responsibilities include delivering across multiple workstreams, championing rapid prototyping and cross-functional collaboration, mentoring less experienced designers and technologists, and enhancing design workflows through custom tooling, automation, and AI/LLMs. The role requires advanced skills in JS frameworks, prototyping, and motion design, and involves co-creating sense-making artifacts (blueprints, models) and driving the adoption of best practices in design technology to accelerate innovation.

Atlassian offers flexible work options—office, remote, or hybrid—with a preference for someone located in the San Francisco Bay Area or US West Coast, but hires can be made in any country where the company has a legal entity. The Lead Design Technologist leads projects that impact multiple departments and delivers scalable design-technology solutions that enable product builders across Atlassian, including PMs, engineers, and designers, while driving innovation in prototyping, motion, and AI-led design workflows. You’ll join the Design Technology team within the Core Design organization, reporting to the Senior Manager, and the team builds foundational tools, components, and AI-native product builder workflows that power the user experience across all Atlassian apps, with members from design, engineering, and product. The team partners with product, engineering, and accessibility experts to create scalable, inclusive, enterprise-scale design solutions, and you’ll help shape Atlassian’s product-building culture, champion best practices, and accelerate innovation through AI tooling. Responsibilities include delivering across multiple workstreams, championing rapid prototyping and user testing, mentoring less experienced designers and technologists, identifying opportunities to enhance workflows with custom tooling and automation, solving complex design-technology issues using AI/LLMs, demonstrating advanced skills in JS frameworks, prototyping, and motion design, co-creating sense-making artifacts, and driving adoption of best practices and continuous improvement.

Atlassian offers flexible work options (office, home, or hybrid) with a preference for the San Francisco Bay Area or US West Coast, but they can hire from anywhere with a legal entity. The Lead Design Technologist leads projects across multiple departments and delivers scalable design technology solutions that empower product builders and accelerate AI-enabled workflows. They join the Design Technology team within Core Design, a multidisciplinary group that partners with product, engineering, and accessibility to create scalable, inclusive design solutions at enterprise scale. Responsibilities include delivering high-quality solutions across multiple workstreams, championing rapid prototyping and user testing, mentoring other designers and technologists, and identifying opportunities to improve workflows through custom tooling and AI/LLMs. The role requires advanced skills in JS frameworks, prototyping, and motion design, along with co-creating sense-making artifacts and driving adoption of best practices in design technology.

DX is a Salt Lake City–based, fast-growing SaaS company that helps engineering leaders build high-performing, productive teams and has recently been acquired by Atlassian. The company values mastery and high performance, focusing on doing the best work possible and delivering impact regardless of external uncertainties. The EMEA Field CTO is the primary strategist, storyteller, and technical expert for the EMEA market, translating DX research into leadership workshops, executive coaching, product demonstrations, and narratives that win business and establish DX as the leading authority on developer productivity and AI measurement in EMEA. The role carries direct commercial accountability, owning 15+ named EMEA accounts per half, helping advance deals, hosting 2–4 VP/CTO–level events per quarter, enabling DX reps, and participating in executive briefings and external media. Additional duties include feeding product with field feedback and VOC, creating field-ready content, maintaining deep product demo fluency, speaking at conferences and podcasts, hosting webinars, and producing quarterly research ships aligned to the research roadmap.

DX is a fast-growing SaaS company based in Salt Lake City that helps engineering leaders boost developer productivity and experience by collecting millions of data points, with customers like Pinterest, GitHub, BNY, and Xero, and it recently joined Atlassian to accelerate growth and R&D. DX emphasizes mastery and high performance, focusing on individuals doing their craft at the highest level while acknowledging that external outcomes are driven by factors beyond control. The EMEA Field CTO is DX’s primary strategist, storyteller, and technical expert for the region, translating research into leadership workshops, executive coaching, product demonstrations, and narratives that win business and establish DX as a leading authority on developer productivity and AI measurement. The role carries commercial accountability with a portfolio of 15+ named EMEA accounts, involvement in active deals, hosting 2–4 VIP experiences per quarter, enabling DX reps, and feeding customer feedback into product via the executive briefing council. Responsibilities also include content and thought leadership, field-ready research assets, strong product demo fluency, media and analyst engagements, conference speaking, webinars, and quarterly research output (3 small ships or 1 large ship) aligned to the roadmap.

DX is a Salt Lake City-based, fast-growing SaaS company that measures developer productivity from millions of data points and has recently been acquired by Atlassian to accelerate growth, resources, and R&D. The EMEA Field CTO is DX's primary strategist, storyteller, and technical expert for the EMEA market, translating research into leadership workshops, executive coaching, and product demonstrations that win business and position DX as the leading authority on developer productivity and AI measurement in the region. The role carries direct commercial accountability, managing a portfolio of 15+ named EMEA accounts per half, contributing to active deals, and being measured on content output and revenue influence, with audience focus on VP, CTO, and Director-level decision makers. Responsibilities include hosting 2–4 VIP experiences per quarter in EMEA, delivering 1–2 internal enablement sessions per quarter for DX reps, participating in Atlassian's executive briefing council, providing Field VOC feedback to product teams, and packaging research into field-ready workshops and narratives. Additionally, the Field CTO must be product fluent for demos, represent DX in media and analyst conversations (podcasts, conferences, webinars), and produce quarterly research outputs (at least three small ships or one large ship) aligned to the quarterly roadmap.

DX is a Salt Lake City-based, rapidly growing SaaS company that helps engineering leaders boost developer productivity through data insights, serving customers like Pinterest and GitHub, and it recently closed an acquisition by Atlassian. The company emphasizes mastery and high performance, focusing on individuals doing their jobs at the highest level, while acknowledging that outcomes are affected by external factors. The EMEA Field CTO is the primary strategist, storyteller, and technical expert for the region, translating research into leadership workshops, executive coaching, and product demos to win business and establish DX as an authority on developer productivity and AI measurement, with a portfolio of 15+ named EMEA accounts per half and direct commercial accountability. Responsibilities include engaging VP/CTO/Director-level audiences through workshops and roundtables, hosting 2–4 VIP experiences per quarter, enabling DX reps, and participating in Atlassian’s executive briefing council, while surfacing product feedback and generating VOC reports and field-ready content. The role also involves media and thought leadership activities—podcasts, conferences, webinars—and producing research ships aligned to a quarterly roadmap to turn field insights into actionable assets that influence DX’s product direction.

Atlassian lets employees choose where to work—office, home, or a mix—with virtual interviews and onboarding, and they hire globally where they have a legal entity. The company offers agile, DevOps, IT service management, and work management software (Jira Software, Confluence, Jira Service Management) used by Fortune 500s and thousands of companies, including NASA and Deutsche Bank. The Mid-Market sales team targets mid-sized customers, identifying cloud-first opportunities, cross-sell and expansion, nurturing relationships, and hitting revenue targets, while serving as customer advocates and feeding feedback to product and engineering. Collaboration is close with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to guide deployments at scale, guided by Atlassian values and the evolving sales model. The role involves developing India-focused account/territory plans, driving growth and engagement in the mid-market, qualifying opportunities, delivering product demos, reporting progress to management, staying updated on industry trends, and occasional travel to meet clients and attend events.

At Atlassian, work locations are flexible—employees can work in an office, from home, or a mix, and interviews and onboarding are conducted virtually as part of being a distributed-first company. Atlassian's products, including Jira Software, Confluence, and Jira Service Management, help teams collaborate and complete work, with customers ranging from NASA and Audi to Deutsche Bank and Dropbox worldwide. The Mid-Market sales team focuses on cloud-first opportunities, cross-sell and user expansion, nurturing customer relationships, and achieving revenue targets, while acting as a strong advocate for customers to feed feedback to product and engineering. This role collaborates closely with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to guide deployment and utilization at scale, guided by Atlassian values. Responsibilities include developing named Account or Territory plans (India), driving growth strategies, qualifying opportunities, delivering product demonstrations, reporting progress, staying updated on industry trends, and occasional travel for client meetings, industry events, and intentional togetherness gatherings as required.

Atlassian supports flexible work locations (office, home, or hybrid) and hires globally with virtual interviews and onboarding as part of being a distributed-first company. It unleashes team potential with agile & DevOps, IT service management, and work management software, used by Fortune 500s and many others, with products like Jira Software, Confluence, and Jira Service Management. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-sell and user expansion, nurturing relationships, and meeting revenue targets while advocating for customers by feeding feedback to product and engineering. They collaborate with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to guide deployments and utilization at scale, aligned to Atlassian values. The role includes developing and executing named Account or Territory plans (in India), driving growth and engagement, conducting product demos, providing updates, staying current on industry trends, and occasional travel to meet clients and attend events.

Atlassian supports flexible work arrangements, allowing employees to work from home, in global offices, or a mix of both, and hires in every country where they have a legal entity. Atlassian’s Intern program offers hands-on technical training, dedicated mentorship, professional growth opportunities, and strong social connections to help students kickstart a successful and impactful career. The internship is based in Vancouver, Burnaby, or Richmond, BC, and applicants must be willing to work from one of these locations; it is not eligible for employer sponsorship at hire, though candidates may indicate future sponsorship needs. In Canada, paid internships run for 15 weeks, either May–August 2027 or September–December 2027. The Future Team describes joining Atlassian’s engineering organization, where AI-driven innovation, high-quality code, and ownership of features advance products like Jira, Confluence, Trello, and Bitbucket, with emphasis on cloud migration and full lifecycle development.

- Atlassian offers flexible work locations (office, home, or hybrid), hires globally where it has a legal entity, and conducts virtual interviews and onboarding as part of its distributed-first approach. - The company aims to unleash every team's potential with agile/DevOps, ITSM, and work-management software, serving Fortune 500 firms and others (including NASA, Audi, Kiva, Deutsche Bank, and Dropbox) with products like Jira Software, Confluence, and Jira Service Management. - The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, cross-sell and expansion opportunities, nurtures relationships, and works toward revenue targets while advocating for customer feedback to product and engineering. - Roles involve close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, guided by Atlassian values to aid deployments and utilization at scale. - Responsibilities include developing and executing named Account or Territory plans (India), driving growth and engagement in the mid-market, qualifying opportunities, conducting product demos, providing regular progress updates, staying aware of industry trends, and occasional travel to meet clients and attend events.

- Atlassian supports flexible, distributed-first work, hiring globally with virtual interviews and onboarding. - Its products—Jira Software, Confluence, and Jira Service Management—help teams collaborate and deliver quality results, and are used by Fortune 500 companies and thousands of others worldwide. - The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, drives expansion, nurtures relationships, and targets revenue while advocating for customers to product and engineering. - They collaborate closely with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, guided by Atlassian values and a team approach to deploying at scale. - Responsibilities include developing named Account or Territory plans (India), driving growth and engagement, qualifying opportunities, delivering product demonstrations, providing regular updates, staying current on market trends, and occasional travel for meetings and events.

Atlassian offers flexible, distributed work options with virtual interviews and onboarding, allowing employees to balance personal priorities while hiring across countries. The company’s products, including Jira Software, Confluence, and Jira Service Management, help teams collaborate, and their customers range from Fortune 500 firms to NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid‑Market sales role focuses on managing a portfolio of mid-sized customers, identifying cloud-first opportunities, driving cross-sell and expansion, and achieving revenue targets while acting as a strong advocate for customers to product and engineering teams. It requires close collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers, all guided by Atlassian values to support deployments at scale. Key responsibilities include developing India-focused named account or territory plans, driving growth and engagement, qualifying opportunities, building relationships, conducting product demonstrations, providing regular progress updates, staying informed about market trends and competitors, and occasional travel to meet clients and attend events.

Atlassian lets employees choose where they work—office, home, or a hybrid arrangement—to better support family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. The Expert Product Selling function aims to be a knowledge leader in Service Management trends to inform sales strategies and Jira Service Management positioning. Sales Strategy Development involves collaborating with sales teams to develop and execute strategies that drive revenue growth, and Customer Engagement focuses on understanding customers' business needs to propose value-based solutions. Cross-functional Collaboration entails working with Account Executives, Marketing, Account Management, Product, and Partner Management to align on sales strategies and explore co-selling opportunities.

Atlassian offers flexible work options, letting employees work in an office, from home, or in a hybrid arrangement. They can hire people in any country where the company has a legal entity. The role includes acting as a knowledge leader in Service Management trends to inform sales strategies and the positioning of Jira Service Management. It involves collaborating with sales teams to develop and execute strategies that drive revenue growth, and engaging with customers to understand their business needs and propose value-based solutions. There is cross-functional collaboration with Account Executives, Marketing, Account Management, Product, and Partner Management to align on sales strategies and explore co-selling opportunities.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a hybrid arrangement to better support personal priorities. They hire people in any country where the company has a legal entity. The Expert Product Selling role positions the employee as a knowledge leader in Service Management trends to inform sales strategies and Jira Service Management positioning. The role involves collaborating with sales teams to develop and execute revenue-driving strategies and engaging with customers to understand their needs and propose value-based solutions. It also requires cross-functional collaboration with Account Executives, Marketing, Account Management, Product, and Partner Management to align on strategies and explore co-selling opportunities.

Atlassian offers flexible work options, allowing staff to work in an office, from home, or a mix to better support family and personal goals. The company can hire people in any country where it has a legal entity. The Expert Product Selling role positions the company as a knowledge leader in Service Management trends to inform sales strategies and Jira Service Management positioning. Sales Strategy Development involves collaborating with sales teams to create and implement strategies that drive revenue growth. Customer Engagement and Cross-functional Collaboration emphasize understanding customer needs, delivering value-based solutions, and coordinating with Account Executives, Marketing, Account Management, Product, and Partner Management to align strategies and pursue co-selling opportunities.

At Atlassian, you can work in an office, from home, or a mix, and the company hires in any country where it has a legal entity. The role is a product-minded Principal Engineer, a hands-on senior individual contributor who sits at the seam between deep technical craft and sharp product judgment. You’ll own customer-facing features end-to-end across the full stack (React/TypeScript front ends, backend services, and APIs), shaping what gets built and shipping measurable outcomes. You’ll design and build AI-enabled, agentic experiences by integrating LLMs and AI workflows, and set technical direction to influence product strategy with product managers, designers, and platform teams. You’ll raise the engineering bar through code/design reviews and mentoring, find high-leverage problems, prototype quickly, and deliver production-grade quality at scale.

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

Atlassian offers flexible work options (office, from home, or hybrid) and hires globally wherever there is a legal entity. The Search Platform team powers Rovo Search and enterprise data search across Atlassian and external apps, aiming to provide secure, fast, scalable, and cost-efficient search infrastructure. As a Senior Principal Engineer, you will own the technical roadmap for the Search Data pillar, helping to envision, build, and evolve a platform that processes, indexes, and searches massive volumes of unstructured data across 100+ sources, using deep expertise in large-scale data systems. You will lead other engineers, own outcomes from design to launch, and drive initiatives that balance freshness, correctness, cost, and simplicity to deliver a world-class end-to-end search experience. Responsibilities include defining strategy and architecture, modernizing legacy data processing, designing maintainable systems, establishing patterns for messy real-world data, owning operational metrics and developer productivity, and mentoring/hiring to foster a high-ownership culture.

Atlassian offers flexible work options—office, home, or a mix—so employees can balance family and personal goals, and they hire in any country where they have a legal entity. The future team, Search Platform, powers Rovo Search to make data across Atlassian and external apps searchable securely and reliably with an insanely fast, globally scalable, cost-efficient, enterprise-grade search infrastructure. As a Senior Principal Engineer in Search Platform, you will own the technical roadmap for the Search Data pillar and help build a platform to ingest, process, index, and search massive volumes of unstructured data from 100+ sources, enabling real-time search and AI/agentic retrieval at scale. You will lead other engineers, define strategic direction, and drive step-change initiatives while making hard trade-offs between freshness, correctness, cost, and operability, and you will simplify legacy data processing and design understandable, testable systems. Responsibilities include setting strategy with partners, improving developer productivity, owning operational metrics, and cultivating a culture of high ownership, rigorous testing, safe rollouts, and data-driven engineering, while hiring and mentoring to maintain an open, innovative, and responsible culture.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product, serving as the technical authority for enterprise customers after the sale. The role includes leading technical implementation with Customer Success Managers, onboarding, complex integrations, and ensuring a seamless transition from evaluation to production. It also covers architecture and strategy, with deep-dive sessions to map the DX platform to customers’ long-term goals, workflows, and structures, and designing custom solutions and integrations using the DX APIs. Finally, the position acts as a trusted advisor on best practices for DX analytics, deployment, and cultural transformation, while feeding technical feedback to Product and Engineering to influence the roadmap.

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally where there is a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product and to serve as the technical authority for enterprise customers after the sale. The role involves leading technical implementation with Customer Success Managers across onboarding, complex integrations, and system architecture to ensure a smooth transition from evaluation to production. It also includes architecture and strategy work, with deep-dive sessions to map customers’ long-term goals to the DX platform and designing custom solutions that connect DX APIs to complex environments. Additional responsibilities include consultative implementation, acting as a trusted advisor on best practices for DX analytics and deployment, and feeding back to product and engineering to influence the roadmap.

- Atlassian supports flexible work arrangements (office, home, or hybrid) and hires in any country with a legal entity. - As a Principal ML Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat, bring cutting-edge innovations, and lead engineers from technical design to launch while collaborating with other teams and internal customers. - You’ll set the technical vision, build production ML and evaluation systems, and advance agentic capabilities across reasoning, planning, tool use, retrieval, memory, and long-horizon execution. - You’ll close the loop between evaluation and product impact, identify systemic failure modes, ship production interventions, and balance quality, latency, safety, and cost while leading cross-organizational initiatives and establishing reusable methods and standards. - The role requires a track record of designing large-scale ML/AI systems with measurable business impact, experience with LLM-powered products, strong production engineering skills, principal-level leadership, and excellent communication and mentorship abilities.

Atlassian supports flexible work locations and hires in any country where it has a legal entity. As a Principal ML Engineer in the Rovo & AI Engineering org, you’ll work on Rovo Chat, delivering bleeding-edge innovations and building agent harnesses that deliver a step-function improvement in quality, reliability, and latency, from design to launch. You’ll set the technical vision, architect scalable ML and evaluation systems, advance agentic capabilities across reasoning and planning, and close the loop between evaluation and product impact. You’ll lead cross-organizational initiatives, establish reusable methods and quality standards, and multiply impact through mentorship and technical leadership. The role requires a track record of shipping large-scale ML/AI systems (including LLM-powered products), hands-on production engineering skills, and strong leadership, judgment, and communication.

- Atlassian emphasizes flexible, distributed work with virtual interviews, hires only where there is a legal entity, and offers a 12-week internship (May/June 2027–Aug/Sept 2027) that does not qualify for F-1/J-1 or sponsorship. - The internship is with the Office of the CMO to build the OCMO Insight Engine—an AI-powered solution that turns marketing performance data into concise, decision-ready insights for senior leaders, using Atlassian tools, Rovo, and responsible AI practices. - Responsibilities include partnering with the OCMO to understand reporting, building Rovo-based agents to ingest data, detect changes, draft executive bullets, flag low results, rebuild month-over-month trend views, produce a one-screen CMO pre-read, and establish a human-in-the-loop validation and documentation process. - The role also involves testing outputs for accuracy and tone, measuring impact, and exploring automation opportunities such as reminders for updates, awards nominations triage, template refresh, and auditing stale information. - By the end, success means delivering a working multi-source insight workflow, executive-summary bullets, automated low-performing-key-result flags, a self-rebuilding trend view, a concise CMO pre-read, demonstration across two monthly cycles, a documented QA process, and quantified time savings.

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

Atlassian supports a distributed-first work model, conducts interviews virtually, hires in countries with a legal entity, and offers a 12-week paid internship from May/June 2027 to August/September 2027. The intern program combines hands-on technical training, professional development, mentorship, and social connections, and is not eligible for F-1/J-1 visas or work sponsorship. The Customer Engagement Marketing Intern will focus on persona-based marketing to C-suite and enterprise decision-makers globally, inventorying executive-facing content and creating connected nurture streams to engage executives across the customer journey. Responsibilities include inventorying content and customer proof points, designing a persona-based packaging framework, building pre/during/post-event nurture maps, producing a reusable C-suite messaging playbook, auditing Atlassian’s AI and enterprise narrative for consistency, and collaborating with multiple teams to validate recommendations and deliver at least one planning-ready asset. Qualifications require the ability to distill key takeaways, understand storytelling’s impact, curiosity for marketing, current enrollment in a bachelor’s program returning after the internship and graduating by June 2028, and availability for a full-time 40-hour internship, with eligibility restricted to entry-level candidates with less than a year of professional experience.

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

Atlassian offers a distributed-first, globally accessible internship with virtual interviews; the 12-week paid program runs May/June 2027 through August/September 2027, and visa sponsorship is not available (not eligible for F-1/J-1). The program blends hands-on technical training, dedicated mentorship, and social connections to set interns up for a successful Atlassian career. The role is with the Global Demand Campaigns team, where you’ll help global teams maximize Atlassian tools through digital demand campaigns and AI-powered marketing programs, collaborating with Demand Gen Strategists, Product Marketing, and Marketing Ops. Responsibilities include piloting a closed-loop AI account engagement engine, enriching accounts with firmographic and technographic data, using AI to rank target accounts and next-best actions, building an AI nurture agent with human-in-the-loop approvals, and delivering seller-ready account briefs and Slack notifications. Success will be measured by MQL-to-SQL lift and improved account progression, with key deliverables such as the enrichment layer, propensity/next-best-action model, AI nurture agent, account briefs, Slack delivery, a controlled pilot, and a repeatable playbook.

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

Atlassian lets employees choose where to work—office, remote, or hybrid—to support personal priorities and family, and hires in any country with a legal entity. The company builds products to help teams move work forward; Search Platform is crucial for connecting people to knowledge, with leaders working at the intersection of distributed systems, data infrastructure, developer platforms, product impact, and operational excellence. They value leaders who raise technical quality while building high-trust teams, care about customer impact, service reliability, and scalable platform design, and combine execution, people leadership, and technical judgment. In this role, you lead a team delivering critical search platform capabilities for performance, reliability, and scale, define roadmaps, manage trade-offs, and partner with senior engineers, product, and adjacent platform teams. Responsibilities include incident readiness, capacity planning, architecture decisions for high availability, as well as hiring, coaching, and developing engineers and managers, and strengthening planning, prioritization, technical design, and delivery rhythms to improve engineering effectiveness.

Atlassians can choose where they work—office, home, or a hybrid—and we hire people in any country where we have a legal entity, supporting family, personal goals, and other priorities. In Search Platform, we build products that help teams move work forward, with search connecting people to knowledge, content, and actions when they need them most. The engineering leadership role leads a team responsible for critical search platform capabilities that underpin performance, reliability, and scale, sets technical and execution direction for large-scale search infrastructure, and partners with senior engineers, product, and adjacent platform teams to define roadmaps, manage trade-offs, and deliver durable improvements. The role also leads through incident readiness, operational reviews, capacity planning, and architecture decisions for high-availability systems, while hiring, coaching, and developing engineers and managers to create clarity, accountability, and growth. It aims to improve engineering effectiveness by strengthening planning, prioritization, technical design, and delivery rhythms.

Atlassian offers flexible work arrangements—office, remote, or a mix—and hires in any country with a legal entity to support employees’ family and personal goals. The Senior Engineering Manager will lead Atlassian’s foundational data platform, directing technical direction, architectural evolution, and operational excellence, powering analytics across Jira, JSM, Confluence, Atlassian Analytics, the Teamwork Graph, and AI features like Rovo. This high-leverage, cross-organizational role will influence how hundreds of thousands of organizations explore, understand, and act on their data, requiring collaborative leadership. Responsibilities include owning the area’s roadmap and architecture, building and operating the platform (streaming ingestion on Flink and/or MPP query/serving on StarRocks), driving reliability, SLOs, on-call, performance, cost, data quality and observability, delivering platform capabilities, and partnering on company-wide initiatives. The role also entails hiring, coaching, and developing engineers, setting engineering quality standards, and managing delivery across a full lifecycle with stakeholder communication.

Atlassian offers flexible work options—office, remote, or hybrid—and hires people in any country where they have a legal entity. The Senior Engineering Manager will lead the data platform team, own the technical direction and architectural evolution, and ensure operational excellence for Atlassian’s foundational data platform, including streaming ingestion on Flink and/or MPP query/serving on StarRocks. This platform powers analytics across Jira, JSM, Confluence, Atlassian Analytics, the Teamwork Graph, and AI capabilities like Rovo, influencing how hundreds of thousands of organizations explore and act on their data. The role is cross-organizational and seeks leaders who value collaboration to shape the future, partnering with senior ICs on large-scale problems from design to launch and driving reliability, SLOs, on-call, performance, cost, and data quality/observability. Responsibilities also include hiring, coaching, setting expectations, providing feedback, growing technical leaders, and upholding engineering quality through thorough code reviews, sound architecture, robust documentation, and effective delivery across a full-lifecycle platform team.

The ITSM Analytics group within Atlassian Engineering's Jira Service Management builds the reporting and analytics platform that turns JSM operational data into actionable insight for IT and service teams. They own the end-to-end surface: Custom Metrics (configurable and ratio metrics with out-of-the-box templates), JSM Insights (SLA-breach insight generation engine and GraphQL APIs), Operations Reports, Assets Reporting, and the JSM Summary Page. It is a full-stack team spanning frontend dashboards and metric-authoring UIs, backend GraphQL APIs and data pipelines, and reporting data infrastructure, with high ownership as they ship from EAP through Beta to GA while investing in performance, scale, and data quality/observability. The team leads a charter-defining effort building the analytics engine at the heart of Atlassian's ITSM strategy, with high visibility directly tied to FY27 JSM growth KRs. You will grow and shape a multi-pod team, set technical direction for a large data domain, and own outcomes as they GA to enterprise customers.

- The ITSM Analytics group is part of Atlassian Engineering’s JSM organization and builds the reporting and analytics platform that turns JSM operational data into actionable IT and service insights. - It owns JSM’s end-to-end analytics surface, including Custom Metrics, JSM Insights, Operations Reports, Assets Reporting, and the JSM Summary Page. - The team is full-stack, spanning frontend dashboards and metric authoring UIs, backend GraphQL APIs and data pipelines, and reporting data infrastructure, with a focus on performance, scale, data quality, and observability as they move from EAP to GA. - The role leads a charter-defining team building the analytics engine at the heart of Atlassian’s ITSM strategy, with high visibility and a broad surface from greenfield to scale. - It involves growing a multi-pod team, setting technical direction for a large data domain, and delivering GA outcomes to enterprise customers aligned with FY27 JSM growth KPIs.

At Atlassian, employees can choose where they work, and they hire in any country where the company has a legal entity; as a senior Machine Learning Systems Engineer on the Search Platform, you will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design and implement scalable search serving infrastructure, including retrieval pipelines, vector indexing, and embedding-based semantic search, and drive end-to-end delivery of ML components from experimentation through production rollout across multiple regions and tenants with strict SLO targets for availability, latency, and relevance. In ML Model Development & Serving, you will build production ML models including neural rankers, embedding models, and reranking systems, integrate them into serving infrastructure using frameworks such as Triton and PyTorch, and collaborate with ML researchers to translate experiments into production-grade systems with robust monitoring and evaluation harnesses. In Agentic Search & Retrieval, you will design retrieval systems for agentic and RAG use cases—personalized indexes, grounding pipelines, and multi-step retrieval workflows—and partner with Rovo and AI platform teams to evolve search infrastructure as a foundational layer for AI agents, ensuring retrieval quality, freshness, and relevance at scale. You will drive operational excellence and cost discipline through observability, monitoring, incident response, and FinOps-driven optimization across vector search and ML serving fleets, while maintaining production health and mentoring junior engineers as part of cross-functional collaboration with engineering leads, product managers, and platform stakeholders.

At Atlassian, employees can work in an office, from home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. The role is a Senior Machine Learning Systems Engineer on the Search Platform team, responsible for the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design scalable search serving infrastructure—retrieval pipelines, vector indexing, and embedding-based semantic search—and own end-to-end ML component delivery across multiple regions and tenants to meet strict SLO targets. Responsibilities include ML model development and serving (neural rankers, embedding models, and rerankers) integrated via frameworks like Triton and PyTorch, plus agentic search and Retrieval-Augmented Generation use cases with personalized indexes and multi-step retrieval, in collaboration with Rovo and AI platform teams. You’ll emphasize operational excellence and cost discipline through observability, incident response, FinOps, capacity planning, and mentoring, while collaborating cross-functionally with engineering leads, product managers, and stakeholders to define roadmaps and OKRs.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally in countries where it has a legal entity. The role is a Senior Machine Learning Systems Engineer on the Search Platform team, responsible for the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design scalable search serving infrastructure—including retrieval pipelines, vector indexing, and embedding-based semantic search—and own end-to-end ML delivery from experimentation to production rollout across multiple regions and tenants, with strict SLO targets for availability, latency, and relevance. You will build production ML models (neural rankers, embedding models, and reranking systems), integrate them into serving infrastructure using Triton and PyTorch, and collaborate with ML researchers to translate experiments into production with robust monitoring and evaluation. You will design agentic retrieval systems for agentic and RAG use cases, partner with Rovo and AI platform teams to ensure retrieval quality and freshness at scale, and drive observability, incident response, FinOps cost discipline, and mentorship across the team.

Atlassian lets employees choose where to work and hires in any country where they have a legal entity. As a senior Machine Learning Systems Engineer on the Search Platform team, you will own the design, development, and production deployment of ML systems powering search across Jira, Confluence, and Rovo. You will design scalable search serving infrastructure—including retrieval pipelines, vector indexing, and embedding-based semantic search—and own end-to-end ML components from experimentation through production rollout across multiple regions and tenants, ensuring high-throughput, low-latency performance with strict SLOs. The role includes ML model development and serving (neural rankers, embeddings, reranking), deploying models with Triton and PyTorch, and collaborating with researchers to productionize models with robust monitoring and evaluation. Additional focus areas include agentic search and retrieval for RAG use cases, partnering with Rovo and AI platform teams, and maintaining operational excellence via observability, FinOps cost discipline, on-call readiness, capacity planning, and cross-functional collaboration with mentors and engineering best-practices champions.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where they have a legal entity. The role is a Senior Machine Learning Systems Engineer on the Search Platform team, responsible for designing, developing, and deploying ML systems that power search across Jira, Confluence, and Rovo. Responsibilities include building scalable search infrastructure (retrieval pipelines, vector indexing, embedding-based semantic search) and delivering ML components end-to-end across regions and tenants to meet strict SLOs for availability, latency, and relevance. The position covers ML model development and serving (neural rankers, embeddings, reranking) integrated into serving infrastructure with Triton and PyTorch, plus collaboration with ML researchers to productionize models with robust monitoring and evaluation. It also includes designing agentic and Retrieval-Augmented Generation use cases, partnering with Rovo and AI platform teams for scalable retrieval, maintaining operational excellence and FinOps cost discipline, and working cross-functionally to define roadmaps, mentor juniors, and uphold engineering best practices.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where it has a legal entity. Strategic Sales Development Representatives partner with Enterprise Account Executives to build a sales pipeline for their most complex customers, in close coordination with Sales Operations and Marketing, and they report to an Enterprise Development Sales Manager. The role is accountable for meeting setting, outbound prospecting, conversion, quota, feedback, and maintaining a customer-obsessed approach for large customers. It requires collaboration with enterprise sales, marketing, partners, and operations, plus strong value-driven messaging and adept prospecting via email, social, video, and calling. The job involves pipeline-building with Enterprise AEs and Marketing, understanding customers' organizations and goals to add value, and using sales technology like SFDC, Gong, Outreach, and LinkedIn Navigator.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where the company has a legal entity. The role is Strategic Sales Development Representative who partners with Enterprise Account Executives to build and manage the pipeline for Atlassian’s largest customers, in close coordination with Sales Operations and Marketing, and reports to an Enterprise Development Sales Manager. Responsibilities include meeting setting, outbound prospecting, conversion, quota attainment, feedback, and maintaining a customer-obsessed approach for top accounts. The role requires collaboration with enterprise sales, marketing, partners, and operations, and success with value-driven messaging to navigate objections, with strong prospecting using email, social, video, and calls to delight customers. You’ll build the pipeline with Enterprise Account Executives and Enterprise Marketing, develop a deep understanding of customers’ organizations and goals to add value, and enjoy using sales tools like SFDC, Gong, Outreach, and LinkedIn Navigator.

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

Atlassian supports flexible work locations—office, remote, or hybrid—and hires people in any country where it has a legal entity. The Product Counsel team sits alongside R&D and product leaders as strategic partners to drive rapid, responsible product innovation in the AI era. The Director of Product Counsel will counsel product and engineering teams on emerging AI/ML legal and regulatory issues, including data governance, IP, and platform architectures. The role also entails applying a versatile generalist approach across products and tech stacks, designing repeatable AI playbooks, launch checklists, and scalable legal guardrails, and maturing the team through new ways of working and async tools. Requirements include 8+ years of software product counseling experience (preferably in B2B Enterprise SaaS), a JD with licensure, experience in both law firms and in-house teams, strong generalist skills, comfort with ambiguity, the ability to synthesize complex tech, excellent writing, and familiarity with Atlassian tools as a bonus.

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

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

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

Atlassian allows employees to choose where they work—office, home, or a hybrid—and hires across any country where the company has a legal entity. The Product Counsel team is central to Atlassian’s future of teamwork, acting as strategic partners embedded with R&D and product leaders to enable rapid, responsible product innovation in the AI era. The Director of Product Counsel will navigate first-impression legal and regulatory issues in AI/ML, data governance, IP, and platform architectures, applying a versatile generalist approach across products and technical stacks. They will design repeatable AI playbooks, launch checklists, and scalable guardrails to help R&D ship AI features quickly and confidently, serving as the primary legal partner for product initiatives. Requirements include 8+ years counseling software products (preferably in B2B Enterprise SaaS), a JD licensed to practice, experience in both law firms and in-house teams, strong generalist product counseling skills, comfort with ambiguity and async collaboration, and a bonus for familiarity with Atlassian tools.

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

- Atlassian supports flexible work arrangements—office, remote, or hybrid—to help employees balance family and personal goals. - They can hire people in any country where they have a legal entity. - The JSM Solution Sales Executive (SSE) team drives sales and adoption of the Service Collection portfolio, with Jira Service Management as the core data center ITSM solution (also sold to non-cloud customers). - The SSE is responsible for sales across strategic accounts in a geographic area, owning the JSM-specific sales cycle, generating pipeline, and closing high-value opportunities while prioritizing the transition from Data Center to Cloud. - Success requires collaboration with Solution Engineers, Partner Management, Marketing, and other go-to-market teams to build awareness, deliver exceptional service, create customer evangelists, and onboard new hires.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where they have a legal entity. The JSM Solution Sales Executive (SSE) team specializes in selling and driving adoption of the Service Collection portfolio of Service Automation solutions, with Jira Service Management (JSM) as the core data center ITSM solution also sold to non-cloud customers. The SSEs are responsible for sales across strategic accounts in a geographic area, owning the JSM-specific sales cycle and focusing on high-value opportunities (typically more than 201 agents or 500 seats) while generating pipeline and winning deals, including competitive replacements. They act as ITSM/ESM subject matter experts, collaborating with Core Account Executives, Solution Engineers, Partner Management, Marketing, and other go-to-market teams to drive awareness, pipeline, and customer success, with an emphasis on Cloud growth and transitioning customers from Data Center to Cloud. The role emphasizes exceptional service, building customer evangelists, a teaming mindset with peers, and supporting onboarding of new hires.

Atlassians can work in the office, from home, or a hybrid arrangement, giving them control to support family and personal goals, and the company hires people in any country where it has a legal entity. The JSM Solution Sales Executive (SSE) team focuses on driving sales and adoption of the Service Collection portfolio of Service Automation solutions, with Jira Service Management (JSM) as Atlassian's core data center ITSM solution that will also be sold to non-cloud customers. The SSE is responsible for sales across strategic accounts in a geographic area, owning the sales cycle for Service Collection and JSM, with emphasis on high-value opportunities (typically >201 agents or >500 seats) and ensuring quality throughout the process. Key duties include acting as Subject Matter Experts in ITSM and ESM, generating pipeline, winning deals, and teaming with Core Account Executives while collaborating with Solution Engineers, Partner Management, Marketing, and other go-to-market teams to drive awareness, pipeline, and customer success. The role prioritizes cloud growth—transitioning customers from Data Center to Cloud—while building customer evangelists, delivering exceptional service to customers and internal stakeholders, and maintaining a teaming attitude to onboard and support new hires.

Atlassian supports flexible work arrangements—office, home, or a blend—and hires in any country with a legal entity to help employees support family and personal goals. The JSM Solution Sales Executive (SSE) team focuses on driving sales and adoption of the Service Collection portfolio of Service Automation solutions, with Jira Service Management (JSM) as Atlassian’s core data center ITSM solution and also sold to non-cloud customers. The SSE will be responsible for sales across strategic accounts in a geographic area and will own the JSM-specific sales cycle, targeting high-value opportunities (typically >201 agents or >500 seats). Core duties include acting as Subject Matter Expert in ITSM/ESM, teaming with Core Account Executives, generating pipeline, leading competitive replacements, and co-selling with partners while collaborating with Solution Engineers, Partner Management, Marketing, and other GTM teams. The role emphasizes cloud growth by transitioning customers from Data Center to Cloud, building a robust pipeline, delivering exceptional service to customers and internal stakeholders, and fostering a collaborative culture that supports onboarding and developing new hires.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The company is investing in its largest, most strategic Public Sector customers and partners with 82% of the Fortune 500, including US Space Force, DoD, NASA, and more. The Account Management team aims to deepen relationships, drive retention, and enable value realization across Atlassian’s solutions, focusing on the most strategic FSI, DoD, and IC accounts. The role drives revenue growth through high retention, proactive expansion, and leading upsell, upgrade, and cross-sell efforts, collaborating with Global Sales for account planning and BoB growth. Key responsibilities include managing renewals and expansions, identifying growth opportunities, increasing product awareness, overseeing growth opportunity management, delivering end-to-end sales cycles, and ensuring accurate forecasting and project documentation.

Atlassian supports flexible work options, letting employees work in an office, from home, or in a hybrid arrangement to better support their family, personal goals, and other priorities. Atlassian hires in any country where it has a legal entity and is investing in its largest Public Sector customers, partnering with 82% of the Fortune 500 and with teams at the US Space Force, DoD, NASA, and more, through its Account Management team to deepen relationships and deliver value. The role focuses on our most strategic FSI, DoD, and IC customers, driving revenue growth by ensuring high retention, proactively pursuing expansion opportunities, and leading upsell, upgrade, and cross-sell efforts, in collaboration with the Global Sales Team. Account Managers are proactive, resilient, and empathetic, specialized in accelerating growth across Atlassian’s full suite of products and services. They accelerate revenue by leveraging existing customer footprints, drive best-in-class retention, develop senior and executive relationships, manage high-value renewals and expansions, identify growth opportunities, increase product awareness, oversee end-to-end sales cycles for cross-sell and up-sell, collaborate on account planning and market/whitespace analysis to drive BoB growth, maintain understanding of product updates and articulate improvements to customers and partners, and ensure accurate forecasting, opportunity hygiene, and project documentation.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country where it has a legal entity, giving employees control to balance family and personal goals. Atlassian’s products, including Jira Software, Confluence, and Jira Service Management, help teams collaborate, with customers ranging from Fortune 500 companies to NASA and Deutsche Bank relying on them to deliver quality results. The Mid-Market sales team manages a portfolio of about 40 accounts (200-10,000 seats) with a $2-4M annual quota, driving net new growth and expansion while advocating for customers to feed product feedback for a better experience. The role leads cross-functional deal teams, builds executive relationships, uses MEDDPICC to qualify and win complex opportunities, and closes multithreaded, multi-solution opportunities through outcome-based selling. Success depends on collaborating with channel, marketing, product, and customer success, maintaining a healthy pipeline with accurate forecasting, staying updated on industry trends and competitors, and occasionally traveling for customer meetings and events.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where they have a legal entity. Their agile, DevOps, ITSM, and work-management software—Jira Software, Confluence, and Jira Service Management—help teams organize, discuss, and complete work, and are used by Fortune 500 companies and over 300,000 others (including NASA and Deutsche Bank). The Mid-Market sales team manages about 40 accounts (200–10,000 seats) with annual quotas of $2–4M, driving net-new growth and expansion while acting as a strong customer advocate to feed feedback to product and engineering. The role leads cross-functional deal teams, builds territory and account plans, and uses MEDDPICC and outcome-based selling to win complex opportunities, maintaining executive relationships across IT, business, sales, and marketing. It also collaborates with channel, product, and customer success teams to maximize satisfaction, handles pricing and contracting, maintains pipeline and forecasting, stays informed on industry trends, and travels occasionally for meetings and events.

Atlassian supports flexible work locations—office, home, or a mix—and hires globally where it has a legal entity, with a mission to unleash every team's potential using tools like Jira Software, Confluence, and Jira Service Management. The company’s customers include the Fortune 500 and over 300,000 other organizations worldwide, such as NASA, Audi, Kiva, Deutsche Bank, and Dropbox, who rely on Atlassian to help teams collaborate and deliver quality results on time. The Mid-Market sales team manages about 40 accounts (200-10,000 seats), targets a $2-4M annual quota, drives net-new growth and expansion, and acts as a strong advocate for customers by feeding feedback to product and engineering. In this role you lead a cross-functional deal team (SDR, SE, SSE, AM, partners), establish clear territory and account plans, and build executive relationships across IT, business, sales, and marketing, using MEDDPICC to qualify and win complex opportunities. You’ll negotiate and price contracts, source and qualify leads, maintain a healthy pipeline with accurate forecasting, stay updated on industry trends, collaborate with channel, marketing, product, and customer success, and travel occasionally for meetings and events.

At Atlassian, employees can work from office, home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. Its agile, DevOps, IT service management, and work management software—including Jira Software, Confluence, and Jira Service Management—helps teams organize, discuss, and complete work and is used by Fortune 500 companies and organizations such as NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Account Executive, Mid Market team manages a portfolio of about 40 accounts with 200–10,000 seats, driving net-new growth and expansion across the full sales cycle. The role carries a quota of $2–4 million annually, requires leading cross-functional deal teams, developing named account or territory plans, and using MEDDPICC to qualify and win complex opportunities while building executive relationships. Responsibilities include sourcing and forecasting pipeline, collaborating with channel, marketing, product, and customer success, serving as the primary contact for designated accounts, staying aware of industry trends, and occasional travel for customer meetings and events.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. The role is a Strategic Sales Development Representative who partners with Enterprise Account Executives to build the sales pipeline for Atlassian’s largest customers, in close coordination with Sales Operations and Marketing. This position is accountable for meeting setting, outbound prospecting, conversion, quota attainment, feedback, and maintaining a customer-obsessed approach. It requires collaboration with enterprise sales, marketing, partners, and operations, plus strong, value-driven, personalized outreach via email, social, video, and calling to navigate objections and delight customers. You will develop the pipeline with Enterprise Account Executives and Enterprise Marketing, deeply understand the customer’s organization and goals to add value, and use sales technology such as SFDC, Gong, Outreach, and LinkedIn Navigator.

- Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity. - The Strategic Sales Development Representative partners with Enterprise Account Executives to build a sales pipeline for Atlassian’s most complex customers, in tight coordination with Sales Operations and Marketing, and reports to an Enterprise Development Sales Manager. - You will be accountable for meeting setting, outbound prospecting, quota attainment, feedback, and maintaining a customer-obsessed approach for large customers, collaborating with enterprise sales, marketing, partner, and operations teams. - You will prospect using value-driven messaging personalized to delight customers via email, social, video, and calling, and build the pipeline with Enterprise Account Executives and Enterprise Marketing teams. - You will develop an in-depth understanding of customers’ organizations, goals, and challenges to add value, and you enjoy using sales technology such as SFDC, Gong, Outreach, and LinkedIn Navigator.

Atlassian offers flexible work arrangements—office, home, or a mix—and hires in any country where it has a legal entity to support employees' family and personal priorities. They are seeking a Pre-sales Solutions Engineer for the EMEA Iberia/Italy Enterprise business who will lead technical engagements in complex sales and demonstrate the value of Atlassian’s platforms. Responsibilities include partnering with cross-functional teams and partners for customer discovery, identifying cross-product opportunities, acting as a trusted technical advisor, delivering tailored value-based demonstrations, guiding the customer’s technical needs through the sales process, and capturing feedback and competitive intelligence for internal product teams. About you: 5+ years of enterprise pre-sales experience, fluent Spanish for the Iberia/Italy market, excellent communication and presentation skills, a customer-centric mindset, and the ability to build executive relationships and collaborate across business and technical audiences. You’ll join a globally distributed SE team that collaborates with sales to deliver an enterprise experience for Global 2000 customers, within a fast-paced, results-driven culture aligned with Atlassian’s core values.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity for this EMEA Iberia/Italy Enterprise Pre-sales Solutions Engineer role. The role leads technical engagement in complex sales cycles as a trusted pre-sales advisor, articulating the value of Atlassian software and mapping customer needs to the platform portfolio. You will partner with cross-functional teams and partners to conduct customer discovery, identify cross-product opportunities, understand pain points, tailor value-based demonstrations, and guide the customer to buy-in while feeding pipeline feedback to sales and product management. Requirements include 5+ years in enterprise pre-sales, excellent communication and multi-level presentation skills, fluency in Spanish, and a customer-centric, relationship-driven, technically versatile mindset. You’ll join a globally distributed SE team that works with Global 2000 companies, collaborating with sales to deliver an enterprise experience and operating in a culture focused on getting things done and Atlassian core values.

Atlassian offers flexible work locations (office, home, or hybrid) and hires anyone in a country where they have a legal entity. They’re looking for a Pre-sales Solutions Engineer for the EMEA Iberia/Italy Enterprise team to lead technical engagements in complex sales cycles and demonstrate Atlassian solutions to solve enterprise problems. Responsibilities include partnering with cross-functional teams to discover customer needs, map them to Atlassian products, identify cross-product opportunities, serve as a trusted technical advisor, deliver value-based demos, and gather competitive intelligence to influence product direction. About You: 5+ years in enterprise pre-sales, fluent Spanish, strong communication and presentation skills, a customer-centric mindset with executive relationship capabilities, and comfort working across business and technical contexts while actively learning and collaborating. You’ll join a globally distributed SE team serving Global 2000 customers, working with sales to create an enterprise experience, in a culture described as a “get s#!% done” distributed team aligned with Atlassian’s core values.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in any country where it has a legal entity to support employees’ priorities. They’re seeking a Pre-sales Solutions Engineer for the EMEA Iberia/Italy Enterprise team to lead technical engagement in complex sales and help solve customers’ hardest business problems. The role involves partnering with account teams and partners to discover customer needs, map them to Atlassian solutions, identify cross-product opportunities, and deliver tailored value-based demonstrations as a trusted technical advisor, while educating customers on how the software can transform their way of working. Requirements include 5+ years of enterprise pre-sales experience, strong communication and presentation skills, fluent Spanish, a customer-centric mindset, and the ability to operate across business and technical contexts while building executive relationships. You’ll join a globally distributed SE team that collaborates with sales to deliver an enterprise experience, aligning with Atlassian values and a culture of continuous learning and feedback.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally, with interviews and onboarding conducted virtually as part of their distributed-first approach. - They are seeking a Senior Principal Backend Software Engineer to help turn the Jira Platform vision into reality by shaping platform capabilities, technical strategy, and engineering practices. - The Jira Data Management team focuses on data transfer and governance within Jira Cloud, enabling data movements like Data Center to Cloud, Cloud to Cloud, and External to Cloud, along with data-shape management for products such as Site Optimizer. - The JDM team consists of 50+ engineers, product managers, and designers, and their work directly impacts Atlassian’s cloud revenue while targeting reliability, scale, performance, and feature improvements for cloud offerings. - Responsibilities include owning the technical evolution and long-term architecture of Jira Data Management, leading large architectural initiatives across Jira Platform, defining a 12–24 month roadmap for shared primitives, raising standards for reliability, security, and observability, and providing hands-on leadership through design reviews, incident reviews, and mentoring.

Atlassians can choose where they work—office, home, or a hybrid model—with virtual interviews and onboarding, and Atlassian hires in any country where it has a legal entity. The company is seeking a Senior Principal Backend Software Engineer to help turn the Jira Platform vision into reality by shaping platform capabilities, technical strategy, and engineering practices that make Jira the system of record and control plane for enterprise-scale human and agent teamwork. The work is guided by three forces—AI transformation, enterprise readiness, and efficiency—to power the Jira Platform flywheel for scalable, secure, and productive cloud offerings. The Jira Data Management (JDM) team focuses on data transfer and management within Jira Cloud, enabling large-scale migrations (Data Center to Cloud, Cloud to Cloud, External to Cloud) and data-shape management for features like Site Optimizer, with a 50+ person team across engineers, product managers, and designers. Responsibilities include owning the long-term architecture of Jira Data Management, leading major Jira Platform initiatives, defining a 12–24 month roadmap for shared platform primitives, elevating reliability, performance, observability, security, and operational excellence, and providing hands-on technical leadership through design reviews, incident reviews, and mentoring senior staff.

- Atlassians can work anywhere—office, home, or a hybrid setup—and the company hires in any country where it has a legal entity. - The Senior Customer Success Architect (AI) role focuses on adopting Atlassian's AI platform, Rovo, leading time-boxed, co-built technical engagements that move customers from “Rovo is turned on” to real, measurable business value, and creating repeatable, scalable methodologies. - You’ll partner with enterprise teams on the most complex activations, build playbooks, run internal enablement, and maintain the relationship with the Rovo Product and Engineering teams. - The role blends deep AI and Atlassian platform expertise with customer success leadership, aiming for measurable adoption outcomes at both the engagement and program levels, and you lead through domain expertise and playbook ownership rather than direct reports. - Senior CSAs are technical experts who guide Pre-Sales, Post-Sales, and Product teams to drive value and adoption, help top promoters showcase successes, and expand AI and the Atlassian System of Work into new use cases and markets, ultimately helping enterprise customers maximize their Atlassian investment.

Atlassians can work in an office, from home, or a hybrid arrangement, giving them flexibility to support family, personal goals, and other priorities, and the company can hire in any country where it has a legal entity. The role is Senior Customer Success Architect (AI) in the Sales and Success department, focused on adopting Atlassian's AI platform, Rovo, by leading time-boxed, co-built engagements that move from “Rovo on” to real, measurable business value and by owning a repeatable, scalable engagement methodology. You’ll partner with enterprise teams on complex activations, build playbooks, run internal enablement, and maintain relationships with Rovo Product and Engineering, bridging deep AI and Atlassian platform expertise with customer success leadership. The Senior CSA (AI) reports to a regional leader and leads through domain expertise, playbook ownership, and internal enablement rather than direct reports, acting as a technical expert who guides value realization and adoption while collaborating with Pre-Sales, Post-Sales, and Product teams. You’ll help top promoters showcase their successes, expand the reach of AI and the Atlassian System of Work into new use cases and markets, and aim to maximize enterprise customers’ outcomes from their Atlassian investment.

Atlassian aims to reinvent the customer experience and has built a fast-growing, multi-billion-dollar business by converting free trials into happy customers. The Sales Operations Senior Analyst will work with Sales Ops teams, the sales field, and other supporting groups to optimize internal and external customer engagements. The role blends centralized scale with high-touch support, leading centralized ticket management, driving an optimized experience, and aligning with select SOM teams to champion specialized functions—especially in Low Touch—to boost SOM and field productivity. Primary goals include mastering centralized ticket resolution, ensuring SLA adherence, policy compliance, and data accuracy in systems of record; additional focus is on partnering to automate day-to-day operations for supporting teams. The ideal candidate is analytical, enjoys aggregating and automating large datasets, and will deliver operational analytics, identify bottlenecks, architect scalable solutions, and support broader Shared Services initiatives.

At Atlassian, the mission is to reinvent the customer experience, built on a multi-billion-dollar, fast-growing business by converting free trials into happy customers. The Sales Operations Senior Analyst will work directly with Sales Ops teams, the sales field, and other supporting organizations to optimize customer engagements, delivering centralized scale with high-touch support, leading centralized ticket requests, and aligning with select SOM teams (notably Low Touch) to boost SOM and field productivity. The primary goal is to master centralized ticket resolution, ensure compliance with published policies, meet SLAs, and maintain accurate data in systems of record; secondary is partnering with SOM teams to optimize and automate day-to-day operations for supporting teams. The ideal candidate thrives in a fast-paced SaaS environment, is analytically sharp, enjoys aggregating and automating large datasets, and can present insights clearly to leadership, with a passion for working with Sales Ops and ensuring data integrity. Responsibilities include being the first responder on centralized tickets and resolving within SLAs, identifying bottlenecks and architecting scalable solutions, delivering operational analytics to monitor performance, and supporting broader Shared Services initiatives and cross-functional GTM projects.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. - Its Future Org internship program provides hands-on technical training, mentorship, professional growth opportunities, and strong social connections to prepare students for impactful careers. - The internship role is located in Seattle, WA or San Francisco, CA, and applicants must be willing to work there; F1/J1 sponsorship is not available. - The paid 12-week program runs May/June through August/September 2027, and interns will be part of a development team, making code changes with direct product impact from day one. - Interns will join a unified R&D team focused on cloud migration while delivering value across Jira, Confluence, Trello, and Bitbucket.

Atlassian lets employees choose where to work—office, home, or a hybrid setup—and hires in any country where it has a legal entity. The Future Org Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to help students launch successful careers at Atlassian. The internship role is based in Seattle, WA or San Francisco, CA, is not eligible for F1/J1 sponsorship, and runs for 12 weeks from May/June to August/September 2027 as a paid program. From day one, interns join a development team, are trusted to modify code that directly impacts products, and work under Senior Engineers to gain full lifecycle product development experience. The program sits within a unified R&D Engineering effort focused on moving customers to the cloud while delivering value across Jira, Confluence, Trello, and Bitbucket.

Atlassian offers flexible work options (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. They are seeking an exceptional Solutions Engineer who collaborates with the enterprise sales team and regional channel partners to understand customer needs, strategize scenarios, deliver compelling demos, and drive deals to closure. The role aims to ensure Atlassian’s solutions meet client demands, contributing to customer success and Atlassian’s growth. The team serves more than 300,000 customers including NASA, IBM, HubSpot, Samsung, and Coca-Cola, emphasizes value selling and a culture of teamwork—“play as a team”—where employees work with Atlassian, not for Atlassian, with strong earnings potential from enterprise opportunities in cloud and AI. Responsibilities include strategic technical engagement, opportunity identification, technical problem solving, product expertise, value-driven demonstrations, technical sales leadership, sales collaboration, and customer advocacy to influence product improvements.

At Atlassian, work arrangements are flexible and distributed-first, allowing office, home, or hybrid setups with global hiring and virtual interviews and onboarding. They’re seeking an exceptional Solutions Engineer who partners with the enterprise sales team and regional channel partners to deeply understand customer needs, strategize scenarios, deliver compelling demonstrations, and drive business closure while ensuring solutions meet client demands and support their success and Atlassian’s growth. With over 300,000 customers including NASA, IBM, HubSpot, Samsung, and Coca-Cola, Atlassian emphasizes value selling and a “play as a team” culture, where employees work with Atlassian, not for it, and there are strong earnings potential in enterprise cloud and AI. The role highlights Strategic Technical Engagement, Opportunity Identification, Technical Problem Solving, Product Expertise, Value-Driven Demonstrations, Technical Sales Leadership, Sales Collaboration, and Customer Advocacy as core capabilities. It centers on partnering with sales to uncover customer challenges, map them to Atlassian’s value propositions, deliver impactful demonstrations, and collect feedback to influence product improvements and drive customer outcomes.