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Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. They are hiring a Technical Head of Engineering to lead the Agent Platform, combining people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences. The Agent Platform team builds foundational capabilities to make AI agents useful, reliable, secure, and scalable, integrating with Rovo, Teamwork Graph, Jira agent workflows, and other Atlassian products. The role requires ML and systems depth to shape architecture, evaluation, reliability, and platform decisions, and the candidate should be comfortable both as a leader and as an individual contributor writing production code. Key responsibilities include setting technical direction, building and mentoring a team, guiding decisions across ML systems and observability, establishing an operating cadence, balancing speed with quality and security, partnering with cross-functional teams, and fostering an inclusive, high-accountability culture.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity to better support family and personal priorities. They’re hiring a Technical Head of Engineering to lead the Agent Platform, combining people management with hands-on technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences, with the ability to act as an individual contributor or a manager. The Agent Platform Team builds foundational, reusable capabilities to make AI agents useful, reliable, secure, and scalable across Atlassian, enabling agentic experiences that reason over work context and orchestrate tools within workflows like Rovo, Teamwork Graph, and Jira agent workflows. Atlassian is heavily investing in AI-native experiences, and this leader will translate broad AI strategy into practical platform capabilities, providing clear direction, talent development, and an execution rhythm across ambiguous, fast-moving AI platform work, with depth in ML and systems for architecture, evaluation, quality, and reliability. Key responsibilities include setting technical direction with stakeholders, coaching a team (hiring, performance, career development), remaining technically hands-on, guiding decisions on ML systems and operations, establishing operating cadence, balancing speed with security, privacy, cost efficiency, and partnering with other leaders to align roadmaps and foster an inclusive, high-accountability culture.

- Atlassian offers flexible work locations and can hire in any country where it has a legal entity. - The company is hiring a Technical Head of Engineering to lead the Agent Platform, blending people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences. - The Agent Platform Team builds foundational capabilities to make AI agents useful, reliable, secure, and scalable across Atlassian, with connections to Rovo, Teamwork Graph, Jira agent workflows, and other products, while focusing on security and evaluation systems. - This role exists because Atlassian is heavily investing in AI-native and agentic experiences, requiring a leader who can provide direction, build talent, and execute across ambiguous AI platform work with ML and systems depth. - Key responsibilities include setting technical and execution direction with cross-functional stakeholders, leading and developing a team (including hiring), writing production code, guiding decisions on ML systems and observability, creating an operating cadence, balancing speed with quality, security, privacy, and cost efficiency, and aligning roadmaps across teams to foster an inclusive, high-accountability culture.

Atlassians can choose to work in an office, from home, or a combination, giving them flexibility to support family and personal goals, and the company hires in any country with a legal entity. The company is hiring a Technical Head of Engineering to lead work on the Agent Platform, blending people-management with deep technical leadership across applied ML, agentic systems, platform engineering, and production-quality AI experiences. The Agent Platform Team builds foundational capabilities to make AI agents reliable, secure, and scalable, connected to Rovo, Teamwork Graph, Jira agent workflows, and other Atlassian products, while also ensuring security and evaluation systems. The role exists to provide clear direction, build talent, and create an execution rhythm across ambiguous, fast-moving AI platform work, requiring ML and systems depth beyond people management. Key responsibilities include setting technical direction with stakeholders, leading and developing the team (hiring, performance management, career development), staying hands-on with production code, guiding decisions on ML systems and production operations, establishing an operating cadence, and fostering an inclusive, high-accountability culture.

Atlassian supports flexible work locations (office, home, or hybrid) and hires globally where we have a legal entity, with interviews and onboarding conducted virtually as part of a distributed-first approach. The role involves analyzing business objectives, enterprise customer needs, and market trends to define a long-term strategy and roadmap for the platform and product components in close collaboration with stakeholders. It includes analyzing architectural bottlenecks to shape long-term technical strategy and multi-year roadmaps for core Sales, Commerce & Finance systems, translating complex quote-to-cash models and compliance requirements into clear technical problems and architectures. Responsibilities include defining and leading high-impact, cross-organizational programs (e.g., billing modernization, legacy migrations, high availability, and SOX controls), identifying product gaps, creating actionable plans, and being accountable for the success of these initiatives from concept through planning, execution, and adoption, using your technical understanding to influence engineers and architects. The role requires cross-functional leadership with UX, principal engineers, architects, and engineering directors; driving governance, metrics, dependency management, and operational excellence across multi-quarter programs, while mentoring the Technical Program Management craft within the organization.

Atlassian supports flexible work locations and distributed onboarding, hiring globally where they have legal entities, with virtual interviews as part of a distributed-first approach. The role involves analyzing business objectives, customer needs, and trends to define a long-term platform and product roadmap, including identifying architectural bottlenecks for multi-year roadmaps in core Sales, Commerce, and Finance systems. It includes translating complex quote-to-cash models into clear technical problems, and leading cross-organizational programs such as billing modernization, legacy migrations, high availability, and SOX/financial controls, while identifying product gaps and action plans. The position requires partnering with UX Designers, Principal Engineers, Architects, and Engineering Directors to shape experiences, API designs, and scalable platform integrations, using a systematic, accountable approach from concept to adoption. It also drives cross-functional alignment across Engineering, Product, Finance, Tax, Billing Ops, and GTM with governance and metrics to ensure risk mitigation and predictable multi-quarter delivery, and includes mentoring and elevating the Technical Program Management craft.

Atlassian supports flexible work arrangements (office, home, or hybrid), hires globally wherever it has a legal entity, and conducts interviews and onboarding virtually as part of its distributed-first approach. The company is hiring a Solutions Engineer to grow its ITSM Specialist team in the US, who will work with enterprise sales and channel partners to understand customer needs and win large enterprise deals. Responsibilities include designing, implementing, and optimizing ITSM solutions, mapping client business and technical requirements to Atlassian capabilities, and delivering compelling presentations, demos, and proofs of concepts to close business. The role emphasizes value selling and teamwork, with a culture described as “play as a team” where employees work with Atlassian, not for Atlassian, and there is high earnings potential from enterprise opportunities in cloud and AI. The team collaborates across functions to drive the customer journey, align account plans, provide customer feedback to product management, and advance Atlassian’s product line.

Atlassian offers flexible, distributed-first work options and hires globally with virtual interviews and onboarding. They are seeking a Solutions Engineer to grow their ITSM Specialist team in the US, working with enterprise sales and channel partners to understand customer needs and close large deals. The role focuses on ITSM offerings, designing and optimizing enterprise solutions, and mapping client pain points to Atlassian capabilities while collaborating across teams. You’ll deliver compelling demonstrations, proofs of concept, and align with sales management to drive overall account plans, with ongoing product feedback to advance Atlassian’s roadmap. The culture emphasizes teamwork and customer obsession, serves high-profile customers like NASA and Coca-Cola, and offers significant earnings potential in the enterprise space amid cloud and AI expansion.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The role is a Pre-Sales Solutions Engineer who acts as a product expert during the sales cycle, solving customers' toughest business problems with Atlassian solutions and helping close enterprise deals. Responsibilities include partnering with account teams and channel partners to discover customer needs, map them to Atlassian products and solutions, and identify cross-product opportunities. The role requires leading value-based demonstrations, articulating the software's value, guiding the customer's technical needs to gain buy-in, and building strong, ongoing partnerships with sales teams. It also involves collecting product feedback and competitive intelligence for internal advocacy and continuously learning to refine pre-sales, product, and sales processes.

Atlassian supports flexible work arrangements—employees can work in an office, from home, or a mix—and can be hired in any country where the company has a legal entity. Atlassian is seeking a Pre-Sales Solutions Engineer who will be a product expert in the sales cycle, solving customers’ hardest business problems with Atlassian products and helping close enterprise deals. The role requires partnering with account teams and channel partners to conduct customer discovery, identify business pains, and map those to Atlassian products, platforms, and cross-solution opportunities. Responsibilities include leading value-based demonstrations, understanding customers’ technical needs to gain buy-in, and fostering strong, ongoing partnerships with sales counterparts while documenting feedback and competitive intelligence for product management. The position emphasizes continuous learning to deepen pre-sales, product, solution, and platform knowledge and refine sales processes and Atlassian product progress.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. Its DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product (getdx.com) for Enterprise customers. The role serves as the technical authority after the sale, leading post-sales activities such as onboarding, complex integrations, and system architecture to ensure customers realize maximum value. Responsibilities include leading technical deep-dive sessions to map the DX platform to a customer’s long-term engineering goals and designing custom solutions that connect DX APIs with complex client environments. Additional duties involve consultative implementation, acting as a trusted advisor on best practices, and providing feedback to Product and Engineering to influence the roadmap.

Atlassian offers flexible work arrangements, allowing Atlassians to work in an office, from home, or a mix, and it hires people in any country with a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive the successful adoption and long-term growth of the DX product and to serve as the technical authority for Enterprise customers after the sale. The role leads all technical aspects of the post-sales lifecycle, including onboarding, complex integrations, and system architecture, ensuring a seamless transition from evaluation to production. It also involves architecture and strategy work to map the DX platform to a customer’s long-term engineering goals and workflows, plus designing custom solutions and integrations to meet unique business requirements. Additional duties include consultative implementation, acting as a trusted advisor on best practices for DX analytics and deployment, and providing feedback to Product and Engineering to influence the roadmap.

Atlassian allows employees to work in the office, from home, or a mix, and hires in any country where the company has a legal entity, giving people flexibility to balance family and personal goals. The Advisory Services team is a globally distributed group of Atlassian experts focused on helping large strategic and enterprise customers achieve successful outcomes and maximize value from their Atlassian investments. The company is hiring a Senior Solutions Consultant (non-managerial) with a Teamwork Foundations + AI focus to join the Advisory Services Delivery team as an individual contributor. Atlassian Solutions Consultants deliver technical guidance and ensure product capabilities align with client business goals to drive value realization for customers who purchase Advisory Services. In this role, you will help top promoters showcase successes, create technical content and prescriptive guidance for multiple Atlassian solution areas, and collaborate with internal teams to advocate for customer needs and innovative solutions.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The Atlassian Advisory Services team is globally distributed and acts as trusted advisors to help the largest strategic and enterprise customers solve complex challenges and maximize the benefits of their Atlassian investments. They are hiring a Senior Solutions Consultant with a Teamwork Foundations + AI focus to join the Advisory Services Delivery team as an individual contributor (not a managerial role). Atlassian Solutions Consultants are experts in Atlassian products and solutions, delivering high-value, scalable strategic technical guidance to clients who have purchased Advisory Services. The role involves helping top promoters showcase successes, expand the reach of Atlassian technologies to new use cases and markets, creating technical content and prescriptive guidance, and partnering with other teams to advocate for customer needs and innovative business-focused solutions.

Atlassian offers flexible work locations and hires globally where it has legal entities, with a globally distributed Advisory Services team focused on helping strategic and enterprise customers succeed with Atlassian. The company is hiring a Senior Solution Consultant with a Strategy Collection focus as an individual contributor to deliver expert Atlassian guidance and drive value realization for clients who purchase Advisory Services. You’ll collaborate to align on strategic outcomes, solve business challenges with Atlassian products, identify expansion opportunities, develop prescriptive guidance, advocate for customer needs across teams, and travel up to 30% domestically or internationally. Required background includes 6–8 years in SaaS, 5+ years in customer-facing roles, Enterprise Agility expertise, experience mapping customer operations to product capabilities, familiarity with enterprise strategy/planning tools and AI integrations, plus English fluency and a second language preferred. Perks include time off and an education budget, and Atlassian emphasizes an inclusive culture with nondiscrimination and confidentiality, with more information in the Candidate Resource Hub.

Atlassian supports flexible work locations—office, home, or a mix—and hires people in any country where they have a legal entity, giving employees control to support family, personal goals, and other priorities. The Senior Solution Consultant with a Strategy Collection focus will join the Advisory Services Delivery team as an individual contributor (not a managerial role), delivering expert Atlassian guidance to large strategic and enterprise clients to maximize value from their Atlassian investments. Responsibilities include collaborating to define strategic outcomes, solving business challenges with Atlassian products, identifying opportunities for service and product expansion, building deep domain expertise, creating prescriptive guidance, and partnering with cross-functional teams, with travel up to 30% domestically or internationally. Required background includes 6-8 years in SaaS, 5+ years in customer-facing roles engaging with technical to executive stakeholders, expertise in Enterprise Agility, mapping operational practices to product capabilities, implementing strategy tools, and experience with Strategy Collection and AI integrations; fluency in English (additional languages a plus). Perks include ample time off, an annual education budget, paid volunteer days, and Atlassian’s commitment to non-discrimination and confidentiality, with more information available in the Candidate Resource Hub.

Atlassian offers flexible work arrangements—office, remote, or hybrid—and hires in any country where it has a legal entity, giving teams more control over personal and family priorities. The Atlassian Advisory Services team is globally distributed and provides trusted, strategic guidance to large enterprise customers to maximize value from their Atlassian investments. The role is a Senior Solution Consultant with a Strategy Collection focus, an individual contributor position that delivers scalable technical guidance and helps grow the reach of Atlassian technologies. Responsibilities include collaborating to define strategic outcomes, solving business challenges with Atlassian products and solutions, identifying expansion opportunities, creating prescriptive guidance, staying current with best practices, and traveling up to 30% for internal and customer-facing events. Requirements include 6–8 years in SaaS, 5+ years in customer-facing roles with enterprise agility experience, mapping customer practices to product capabilities, experience with Strategy Collection tools and AI integrations, English fluency (second language a plus), plus perks and a culture focused on inclusion and confidentiality.

- Atlassian offers flexible work locations and hires globally, with the Advisory Services team acting as a globally distributed group of experts helping large strategic and enterprise customers maximize their Atlassian investment. - They’re hiring a Senior Solution Consultant with a Strategy Collection focus as an individual contributor in Advisory Services Delivery, not a manager, to deliver expert guidance that helps customers unleash team potential and impact millions of users. - Responsibilities include aligning strategic outcomes with customers, solving business challenges using Atlassian products, identifying expansion opportunities, creating technical content, partnering cross-functionally, and traveling up to 30% for internal and customer-facing events. - Requirements include 6-8 years in SaaS, 5+ years in customer-facing roles, enterprise agility expertise, the ability to map customer operations to product capabilities, experience deploying enterprise strategy tools, and familiarity with AI integrations; fluent in English, with a second language preferred. - Perks include generous time off, an annual education budget, volunteer days, and Atlassian’s inclusive, non-discriminatory culture that empowers employees to turn ideas into action while keeping information confidential.

Atlassian offers flexible work arrangements—office, remote, or a mix—and hires people in any country where they have a legal entity. The Advisory Services Delivery team is a globally distributed group of Atlassian experts who work with large strategic and enterprise customers to maximize the value of their Atlassian investments. The Senior Solution Consultant with a Strategy Collection focus is an individual contributor who provides expert Atlassian product guidance, delivering strategic technical outcomes and helping expand services and use cases. Key responsibilities include collaborating with peers, solving business challenges with Atlassian products, creating prescriptive guidance, advocating for customer needs across teams, and traveling up to 30% for internal and client-facing events. Candidates should have 6–8 years in SaaS, 5+ years in customer-facing roles, expertise in Enterprise Agility and Strategy Collection tools, English fluency (second language desired), and Atlassian emphasizes inclusive culture and confidential handling per EEO guidelines, with perks like time off and education budget.

Atlassian offers flexible work locations (office, home, or hybrid) and hires people in any country where the company has a legal entity. The role is a Senior Solution Consultant with a Strategy Collection focus in the Advisory Services Delivery team, an individual contributor who provides enterprise-scale strategic technical guidance to customers who purchased Advisory Services. Responsibilities include collaborating to achieve strategic outcomes, solving business challenges with Atlassian products and practices, identifying expansion opportunities, building deep industry expertise, creating prescriptive solution content, advocating for customer needs across teams, and traveling up to 30% domestically or internationally. Qualifications include 6-8 years in SaaS, 5+ years in customer-facing roles, enterprise agility expertise, ability to map customer practices to product capabilities, experience with enterprise strategy and planning tools (e.g., Strategy Collection, Jira Plans, Rally, RTC, ADO, VersionOne), and AI integration experience, with English fluency (a second language is a plus). Atlassian also highlights perks such as time off, an education budget, volunteer days, a culture of inclusion, and resources like the Candidate Resource Hub.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally where it has a legal entity, supported by a globally distributed Advisory Services team that helps large strategic customers realize value from Atlassian investments. They are hiring a Senior Solution Consultant with a Strategy Collection focus to join the Advisory Services Delivery team as an individual contributor, delivering strategic technical guidance at scale and expanding the reach of Atlassian technologies to new use cases and markets. Key responsibilities include collaborating to define strategic outcomes, partnering with clients to solve business challenges using Atlassian products and practices, identifying expansion opportunities, creating prescriptive guidance, and working with cross-functional teams while traveling up to 30% domestically and internationally. The role requires 6-8 years in SaaS, 5+ years in customer-facing roles, Enterprise Agile expertise, the ability to map customer operations to product capabilities, and experience with strategy/planning tools (Strategy Collection: Align, Focus, Talent, Jira Plans; plus Rally, RTC, ADO, VersionOne, etc.), as well as AI integrations; fluency in English is required with a second language preferred. Atlassian emphasizes an inclusive culture with non-discrimination and confidentiality per EEO guidelines, and offers perks like ample time off and an education budget, with more information available through the Candidate Resource Hub.

- Atlassian offers flexible work options (office, home, or hybrid) and hires people in any country where they have a legal entity. - The role is a Senior Front End Software Engineer reporting to an Engineering Manager, working with design and product management to influence the product direction. - You will write code, ship product capabilities, and deliver results that customers love to help Atlassian become the best project management tool for business teams. - Responsibilities include delivering projects autonomously from technical design to launch, building efficient, fast, testable, scalable, high-quality client code, and promoting collaboration to understand user pain points and iterate. - You’ll partner with design, product, and other engineering teams to create delightful customer experiences, contribute to code reviews and documentation, and tackle complex bug fixes.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country where it has a legal entity to support employees’ personal goals and priorities. The role is for a Senior Front End Software Engineer reporting to an Engineering Manager. You’ll work closely with design and product management to influence the product direction and ship capabilities that customers love, helping Atlassian become the best project management tool for business teams. Responsibilities include delivering projects autonomously from technical design to launch and building client code that is efficient, fast, testable, scalable, and high quality, while promoting collaboration with engineers, designers, and managers to address user pain points. You will also contribute to code reviews and documentation and tackle complex bug fixes, partnering with design, product, and other engineering teams to create delightful customer experiences.

Atlassians can work from an office, from home, or a mix, giving them control over family, personal goals, and other priorities. Atlassian hires people in any country where they have a legal entity. In this role, you will drive large, complex projects autonomously from technical design to launch. You will tackle architecture challenges, apply architectural standards on new projects, lead code reviews and documentation, handle high-risk bug fixes, and collaborate with engineering teams on company-wide initiatives spanning multiple projects. You will transfer your knowledge to excel as a Java developer and mentor junior team members.

Atlassian offers flexible work arrangements—office, remote, or hybrid—with hiring in any country where we have a legal entity to support personal goals and family needs. You'll drive large, complex projects autonomously from technical design to launch. You will tackle complex architectural challenges, apply standards, and start using them on new projects. You'll lead code reviews and documentation, handle high-risk bug fixes, and model thorough, meaningful reviews while partnering across engineering teams on company-wide initiatives spanning multiple projects. You'll transfer your depth of knowledge from your current language to excel as a Java developer and mentor junior team members.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever they have a legal entity. - Its platform connects work, teams, and data to power the next generation of intelligent tools, automation, and AI, with a rich platform layer essential as enterprise systems become AI-driven. - The company is seeking a Senior Product Marketing Manager to lead adoption of the core platform data and context capabilities, specifically the Teamwork Graph. - The role includes defining adoption strategy, messaging, GTM, and enablement to drive onboarding, activation, and ongoing usage, while translating complex concepts for both technical and business audiences. - It also involves partnering with cross-functional teams to reduce onboarding friction, drive full-funnel engagement, measure impact, and evangelize the platform in external forums.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever it has a legal entity. - Its platform connects work, teams, and data across the enterprise to power intelligent tools, automation, and AI, with a rich platform layer becoming critical as AI-driven enterprise systems mature. - The company is seeking a Senior Product Marketing Manager to lead adoption of the core platform data and context capabilities (Teamwork Graph) with end-to-end ownership. - Responsibilities include defining adoption strategy (positioning, GTM, enablement), building narratives for both technical and business audiences, and driving full-funnel engagement and activation programs. - The role also involves empowering cross-functional teams, measuring impact with adoption signals and feedback, and evangelizing the platform in external forums.

Atlassian supports flexible work locations and hires globally, with a platform that connects work, teams, and data to power AI-driven tools. They are seeking a Senior Product Marketing Manager to lead adoption for the core platform data and context capabilities, Teamwork Graph. The role involves defining and executing the adoption strategy, including positioning, GTM motions, onboarding, activation, and ongoing platform usage. It requires building credible narratives for technical and business audiences, driving full-funnel engagement with docs, guides, customer stories, webinars, and in-product nudges, and collaborating with Product, Engineering, Sales, and other teams to reduce onboarding friction. The PMM will measure impact using adoption signals and feedback, iterate programs, and evangelize the platform in external forums and events.

Atlassian offers flexible work options and hires globally, with a platform that connects work, teams, and data to power AI-driven tools. As enterprise AI grows, a strong platform layer is critical, and Atlassian is hiring a Senior Product Marketing Manager to lead adoption of the Teamwork Graph. The role involves defining and executing the adoption strategy—including positioning, GTM motions, onboarding, activation, and ongoing usage across the customer base. It also requires building credible narratives for both technical and business audiences and driving full-funnel engagement through docs, guides, customer stories, webinars, and in-product nudges. The PMM will empower cross-functional teams, collaborate with Product and Engineering, enable Sales/SE/CS with tools and proof points, measure impact, iterate, and evangelize the platform externally.

Atlassian supports flexible work options—office, home, or a hybrid model—and hires in any country where it has a legal entity. Its platform connects work, teams, and data across the enterprise to power AI-driven tools and provides a critical platform layer for enabling useful AI in complex organizations. The company is seeking a Senior Product Marketing Manager to lead adoption of the core platform data and context capabilities, Teamwork Graph. The role involves defining the adoption strategy, building narratives for technical and business audiences, driving full-funnel activation, enabling cross-functional teams, and measuring impact to optimize adoption. It also includes evangelizing the platform externally through forums, customer briefings, webinars, and community channels.

Atlassian offers flexible work options and hires in any country where they have a legal entity. The platform connects work, teams, and data to power AI-driven enterprise tools, making a rich platform layer essential for useful AI in complex environments. They are seeking a Senior Product Marketing Manager to lead adoption for core platform data and context capabilities (Teamwork Graph). Responsibilities include owning the adoption strategy, building credible narratives for technical and business audiences, driving full-funnel adoption programs, empowering cross-functional teams, and measuring impact to optimize adoption plays. The role also involves evangelizing the platform externally through forums, customer briefings, webinars, and community channels, while collaborating with Product, Engineering, Sales, and other teams to reduce onboarding friction and drive value realization.

Atlassian offers flexible work options—office, home, or a hybrid setup—and hires in any country where it has a legal entity to support employees’ priorities. The Atlassian platform connects work, teams, and data to power AI-driven tools, and a rich platform layer is essential to making AI truly useful in complex organizations. They are seeking a Senior Product Marketing Manager to lead adoption of core platform data and context capabilities (Teamwork Graph). The role involves defining adoption strategy, crafting narratives for both technical and business audiences, driving full-funnel engagement, and equipping cross-functional teams with the tools and collateral needed to boost onboarding, activation, and ongoing usage. It also requires measuring impact, iterating on adoption plays, and evangelizing the platform externally through forums, briefings, webinars, and community channels, while collaborating with Product, Engineering, Growth, Sales, Solution Engineering, and Customer Success.

- Atlassian supports flexible work options and hires globally where they have a legal entity, with this role being fully remote but located in the USA or Canada/Pacific Timezone. - The text includes a placeholder [[INSERT JOB DESCRIPTION HERE]] indicating a role-specific description to be inserted. - The Growth Organization enables users to discover, try, adopt, and get value from Jira, Confluence, Loom, and Teamwork by combining product thinking, platforms, and data analysis to drive experimentation and long-term customer value. - The Growth Monetization team focuses on optimizing customer interactions from first contact to purchase and contributes to Atlassian Revenue, with responsibilities including owning the evolution and architecture of monetization services, cross-team roadmaps, and maintaining operational excellence, supported by senior engineers and leaders. - Basic qualifications require 12+ years of experience in large-scale distributed systems with at least 4 years of architectural leadership; preferred qualifications include department-level influence, leading major architectural initiatives, experience with large-scale systems and data streaming, cloud experience (AWS/GCP), proficiency in modern programming languages, and mentoring and problem-solving in ambiguous environments.

Atlassian offers flexible work arrangements, including fully remote roles, with location requirements of the USA or Canada/Pacific Timezone, and hires in any country where it has a legal entity (noting a placeholder for the job description). The Growth Organization aims to help users discover, try, adopt, and get value from Jira, Confluence, Loom, and Teamwork Collection by combining product thinking, platforms, and data analysis to drive experimentation and long-term customer value, including an Atlassian AI transformation. The Growth Monetization team contributes to Atlassian revenue by optimizing customer experiences from initial product contact to purchase, and is responsible for the technical evolution and long-term architecture of monetization services and experimentation platforms, as well as cross-team roadmaps and operational excellence. The team emphasizes hands-on leadership in reviews, investigations, incidents, and critical problem solving, and seeks Principal and Senior Engineers to lead technical experimentation strategies across multiple teams. Basic qualifications include 12+ years in large-scale distributed systems and 4+ years of architectural leadership; preferred qualifications include department-level technical leadership, experience with large-scale distributed systems, data streaming, cloud platforms (AWS/GCP), proficiency in modern languages, mentoring, and the ability to work well in ambiguous environments.

Atlassian offers flexible work location options (office, home, or hybrid) to support employees' personal goals and family, and hires in any country where it has a legal entity. The role involves analyzing business objectives, customer needs, product adoption inhibitors and opportunities, and industry trends to define in collaboration with stakeholders a long-term strategy and roadmap for the platform and product components. It requires translating business objectives into technical systems problems and defining specific programs and action plans—such as agentic platforms, machine learning systems, enterprise search, conversational AI, performance optimization, reliability improvements, and enterprise-grade readiness. You will leverage your technical understanding to partner with engineers and architects to advance these problems, taking a systematic approach to engineering. Responsibilities include prioritizing tasks, scoping projects, defining objectives, ensuring consistent progress, and owning the full lifecycle of the technical programs from initiation to forecasting, budgeting, and scheduling while managing complex dependencies across the company.

Atlassians can work in an office, from home, or a combination, and Atlassian hires people in any country where we have a legal entity to support family, personal goals, and other priorities. The role involves analyzing objectives, customer needs, product adoption inhibitors and opportunities, and industry trends to define a long-term strategy and roadmap for the platform and product components in close collaboration with stakeholders. It requires translating business objectives into technical systems problems to be prioritized in the current business environment, and defining specific systems programs with action plans to realize them. Programs could cover agentic platforms, machine learning systems, enterprise search, conversational AI, performance optimization, reliability improvements, enterprise-grade readiness, and more, requiring partnership with engineers and architects to make progress. You are responsible for a systematic engineering approach: prioritizing tasks, scoping projects, defining objectives, and making consistent progress, and for the success of these programs by managing the full lifecycle from initiation to forecasting, budgeting, scheduling, and managing broad dependencies across the company.

- Atlassian supports flexible work arrangements—office, home, or hybrid—and hires in any country where it has a legal entity, inviting people to shape the future of AI at scale. - They are reimagining teamwork with the Atlassian Teamwork Collection, an all-in-one AI-enhanced suite that combines Jira, Confluence, Loom, and Rovo to break down silos and reduce tool sprawl. - The Senior Principal, AI Product Management role will own the end-to-end AI vision and strategy for Atlassian’s core products, delivering AI-driven experiences that delight users. - Responsibilities include leading cross-functional teams, accelerating AI adoption, aligning with central platforms, defining metrics and key results, gathering customer feedback, mentoring others, and communicating with stakeholders. - The ideal candidate has 10+ years in product management with a focus on AI/ML, a proven ability to lead diverse teams, deep AI understanding, strong UX sense, and the ability to thrive in fast-paced, ambiguous environments.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity, inviting you to shape the future of AI at scale. The role is Senior Principal, AI Product Management (IC) within the Atlassian Teamwork Collection, which combines Jira, Confluence, Loom, and Rovo into an AI-enhanced, integrated suite for cross-functional teamwork. You will own the end-to-end AI experience strategy and roadmaps, act as an AI leader, lead cross-functional teams, accelerate AI adoption, drive alignment across products, define success metrics, and champion customer feedback. You will mentor others, stay ahead of industry trends, and communicate effectively with stakeholders, including executives, to secure alignment and excitement for AI initiatives. The ideal candidate has 10+ years of product management experience with a focus on AI/ML, a proven ability to lead diverse teams, deep AI knowledge, excellent communication and UX instincts, and thrives in fast-paced environments with ambiguity.

- Atlassian offers flexible work options—office, home, or a mix—and hires in any country where it has a legal entity, with virtual interviews and onboarding as part of its distributed-first approach. - The Senior ML System Engineer in the Rovo GenAI Platform team will build and maintain core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines to power GenAI products at Atlassian. - They will use software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. - The role provides the opportunity to lead other engineers on projects from technical design to launch. - They will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian allows employees to choose where they work—office, home, or a mix—and hires in any country where there is a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. The Senior ML System Engineer in the Rovo GenAI Platform team will build and maintain the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines, powering Atlassian's GenAI products. You will apply your software development expertise to solve difficult problems and tackle complex infrastructure and architecture challenges. You will have the opportunity to lead other engineers on projects from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

At Atlassian, employees can work in an office, from home, or a combination, giving them more control over family, personal goals, and priorities. They hire people in any country where they have a legal entity, and interviews and onboarding are conducted virtually as part of being a distributed-first company. As a Senior ML System Engineer in the Rovo GenAI Platform team, you will build and maintain the core infrastructure that lets ML engineers and data scientists develop, train, evaluate, deploy, and operate ML models and pipelines to power Atlassian's GenAI products. You will use your software development expertise to solve difficult problems and tackle complex infrastructure and architecture challenges, with the opportunity to lead other engineers from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassians can choose where to work—office, home, or a mix—and interviews and onboarding are conducted virtually as part of a distributed-first approach, with hiring open in any country where Atlassian has a legal entity. The Senior ML System Engineer role sits in the Rovo GenAI Platform team and involves building and maintaining the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines and power Atlassian’s GenAI products. You will use your software development expertise to solve difficult problems, tackling complex infrastructure and architecture challenges. There is an opportunity to lead other engineers on involved projects from technical design to launch. You will collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian supports flexible work arrangements, allowing employees to work in an office, from home, or a mix to better support personal priorities. The company hires globally where it has a legal entity, and interviews and onboarding are conducted virtually as part of its distributed-first approach. The Senior ML System Engineer in the Rovo GenAI Platform team builds and maintains the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines and to power GenAI products. The role uses software development expertise to solve challenging infrastructure and architecture problems. There is an opportunity to lead other engineers on projects from technical design to launch, and to collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian offers flexible work options—office, remote, or hybrid—to help employees support family, personal goals, and other priorities. The company hires in any country with a legal entity, and interviews and onboarding are conducted virtually as part of its distributed-first approach. As a Senior ML System Engineer in the Rovo GenAI Platform team, you'll build and maintain the core infrastructure that enables ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models and pipelines, powering Atlassian's GenAI products. You'll use software development expertise to tackle difficult infrastructure and architecture challenges, with the opportunity to lead other engineers from design through launch. You'll also collaborate with other teams and internal customers to set expectations, gather input, and communicate results.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for its Growth organization, which builds personalized experiences to help customers discover value and progress through the lifecycle. The role involves turning behavioral and product signals into scalable ML systems that optimize the growth funnel and enable more relevant customer and sales experiences across surfaces like navigation and app-switcher. You’ll design, build, and operate ML systems for personalized recommendations, activation journeys, cross-product expansion, and sales interactions, and define the strategy for evolving ML capabilities to support Atlassian’s goals. Requirements include 5+ years in ML, a CS-degree (or equivalent), strong Python (plus Java/Typescript), SQL, Spark, and cloud data environments, plus experience building scalable models, datasets, and evaluation frameworks, with the ability to communicate ML concepts to diverse audiences and an agile, practical mindset. Nice-to-have experience includes consumer SaaS or B2B contexts, familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, and balancing short-term signals with downstream outcomes.

At Atlassian, you can work where you want, and they are hiring a Machine Learning Engineer to join Growth, building personalized experiences that help customers move through the lifecycle from awareness to long-term value. The Growth organization combines product, engineering, data science, analytics, and operations to run experiments and intelligent orchestration, delivering cross-product recommendations and timely, value-aware experiences. You will design, build, and operate ML systems for personalized recommendations, activation and engagement journeys, cross-product expansion, and sales experiences, with a focus on durable portfolio value rather than short-term metrics. Requirements include a Bachelor's or Master’s in CS or equivalent, 5+ years in ML, strong Python (plus Java/TypeScript), SQL, Spark, and cloud environments (AWS/Databricks), plus experience building large-scale models, datasets, and evaluation frameworks, and the ability to communicate ML concepts to diverse audiences while collaborating across product, analytics, marketing, and sales. Nice-to-have qualifications include experience in consumer SaaS or enterprise spaces, applying ML to growth, personalization, ranking, experimentation, or decisioning, and familiarity with concepts like contextual bandits, uplift modeling, recommender systems, policy evaluation, and causal inference.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for its Growth organization to turn behavioral and product signals into scalable ML systems that support the customer lifecycle. The Growth team combines product, engineering, data science, analytics, and operations to create experimentation-driven, personalized experiences across the funnel—from awareness and activation to expansion, retention, and long-term value. You will design, build, and operate ML systems for personalized recommendations, activation journeys, cross-product expansion, and sales experiences, and set the strategy for evolving our ML capabilities. Responsibilities include creating models, datasets, feature engineering, evaluation frameworks, offline policy evaluation, and running online experiments while monitoring attribution, latency, quality, and fairness to optimize durable portfolio value. Required are 5+ years of ML experience, strong Python (plus Java/Typescript), SQL, Spark, cloud environments (AWS/Databricks), with experience scaling ML in business settings, plus collaboration skills and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference; SaaS B2B experience is a plus.

At Atlassian, employees can choose to work in an office, from home, or a mix of both, and the company can hire in any country where it has a legal entity to support personal goals and priorities. The Senior Machine Learning Engineer will join the Agentic Search & Query Intelligence team within Search Relevance, building intelligent systems to help people and AI agents understand complex questions and conduct targeted searches across Atlassian products and connected tools. The role involves developing ML and LLM capabilities for query intelligence (intent understanding, query rewriting and decomposition, entity understanding, translating natural language into structured search constraints), building agentic search planners, and refining model and agent behavior through prompts, data improvements, and fine-tuning, with end-to-end ownership from prototyping to production and evaluation. You’ll collaborate with product, search infrastructure, modeling, and evaluation teams to integrate query intelligence into experiences like Rovo Search and Rovo Chat, balance search quality with latency and cost, operate within enterprise data boundaries, and mentor others while contributing to design and code reviews. Requirements include a CS degree or equivalent, 4+ years of production ML experience, strong Python, and expertise in NLP, information retrieval, search relevance, or LLM applications, plus demonstrated ability to design experiments and lifecycle-scale ML work, with optional bonuses for AI agents, tool-use workflows, multi-step search systems, retrieval-augmented generation, and experience with Spark, AWS, or Databricks.

Atlassian offers flexible work options (office, remote, or hybrid) and hires people in any country where it has a legal entity to better support family, personal goals, and other priorities. The Senior Machine Learning Engineer will join the Query Intelligence team focusing on Agentic Search and Search Relevance to build systems that help people and AI agents understand complex questions and locate relevant knowledge across Atlassian products and connected tools. The team sits within Search Relevance under Intelligence & Experience, developing query understanding, search planning, and agentic retrieval, and collaborates with product, search infrastructure, modeling, and evaluation teams to connect user aims with information across Rovo Search, Rovo Chat, and AI agents. Responsibilities include developing ML and LLM capabilities for query intelligence, building agentic search planners, improving model behavior through prompts and fine-tuning, owning projects end-to-end, building datasets and evaluation methods, and running offline analyses and online experiments while balancing quality with latency and cost. Requirements include a degree or equivalent, 4+ years of production ML experience, strong Python skills, experience in NLP/IR/LLM, ability to design experiments and drive improvements, and familiarity with the ML lifecycle; preferred (but not required) items include building AI agents, tool-use workflows, multi-step search systems, retrieval-augmented generation, and experience with distributed data processing and cloud environments.

Atlassian supports flexible work locations and hires globally where they have a legal entity. The Senior ML Engineer will join the Query Intelligence team focusing on Agentic Search and Search Relevance to help users and AI agents understand questions and discover relevant knowledge across Atlassian products. Responsibilities include developing ML/LLM capabilities for intent understanding, query rewriting and decomposition, building agentic search planners, refining prompts and models, owning projects end-to-end, and creating datasets and evaluation methods while balancing retrieval quality, latency, and cost within enterprise boundaries. You will collaborate with product, search platform, modeling, Rovo Chat, and other AI teams, contribute to design and code reviews, mentor juniors, and share learnings to improve engineering and ML practices. Required background includes a bachelor’s or master’s in CS or equivalent, 4+ years of production ML experience, strong Python and experience in NLP/IR/LLM, experimental design and ML lifecycle, with optional but desirable experience in AI agents, tool-use workflows, multi-step search, retrieval-augmented generation, and cloud ML environments like Spark, AWS, or Databricks.

Atlassian offers flexible work locations and hires in any country where it has a legal entity. The Senior Machine Learning Engineer will join the Query Intelligence team focused on Agentic Search and Search Relevance to help users and AI agents understand questions, discover knowledge, and accomplish tasks across Atlassian products and connected tools. Responsibilities include developing ML and LLM capabilities for query intelligence, building agentic search planners, improving model and agent behavior through prompts and fine-tuning, owning end-to-end projects, and creating evaluation datasets with offline and online experiments to measure retrieval relevance and task success. The role requires at least 4+ years of ML experience, strong Python, and background in NLP, information retrieval, search relevance, or LLM applications, plus the ability to manage the ML lifecycle and collaborate with product partners. Nice-to-have skills include experience with AI agents, tool-use workflows, multi-step search systems, retrieval-augmented generation, and familiarity with distributed data processing and cloud ML environments such as Spark, AWS, or Databricks.

- Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. - The Senior Machine Learning Engineer will join the Agentic Search & Query Intelligence team within Search Relevance, building intelligent systems to help users and AI agents understand questions, discover knowledge, and accomplish tasks across Atlassian products. - You’ll develop ML and LLM capabilities for intent understanding, query rewriting and decomposition, entity understanding, and translating natural language into structured search constraints, build agentic search planners, and improve model behavior through prompts and fine-tuning while owning projects from prototyping to production deployment and ongoing measurement. - You’ll create datasets and evaluation methods, conduct offline analyses and online experiments, balance search quality with latency and cost, and collaborate with search platform, relevance, Rovo Chat, and other AI teams to integrate capabilities. - Required qualifications include a bachelor’s or master’s in CS or equivalent, 4+ years of production ML experience, strong Python skills, and experience in NLP/IR/LLM applications, with preferred exposure to AI agents, multi-step search, retrieval-augmented generation, and cloud ML environments.

Atlassian offers flexible work locations—office, home, or a hybrid—and hires globally wherever they have a legal entity. The Senior Machine Learning Engineer on the Agentic Search & Query Intelligence team will develop ML and LLM capabilities for query understanding, intent, query rewriting and decomposition, entity understanding, and translating natural language into structured search constraints, as well as building agentic search planners. You’ll own projects end-to-end—from problem definition and prototyping through experimentation and production deployment—while building datasets and evaluation methods to measure retrieval relevance, evidence coverage, task success, and grounding, and you’ll collaborate with product, search infrastructure, modeling, and evaluation teams. The role emphasizes balancing search quality with latency, inference cost, and reliability within enterprise data boundaries, and integrating capabilities into Rovo Search, Rovo Chat, and AI agents. Required background includes a bachelor’s/master’s in CS or equivalent, 4+ years of ML production experience, strong Python, and experience in NLP/IR/LLM, experiments, and the ML lifecycle; plus optional experience with AI agents, tool-use workflows, multi-step search, retrieval-augmented generation, evaluation approaches, and cloud environments like Spark, AWS, or Databricks.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity, to support employees' family and personal priorities. They’re looking for a Senior Machine Learning Engineer to join the Confluence Cloud AI team, which builds ML solutions to drive revenue, grow active users, and provide forecasting for top-line metrics. The role spans the full end-to-end ML lifecycle, from problem definition and experimentation to production deployment and continuous improvement, with an emphasis on scalable, production-quality forecasting models. Responsibilities include designing system and model architectures, developing rigorous evaluation methods, building scalable ML infrastructure, collaborating with Growth, GTM, Product, Finance, and Sales, mentoring junior engineers, and explaining ML concepts clearly to technical and non-technical audiences. Interviews and onboarding are virtual as part of Atlassian’s distributed-first approach, and the candidate should translate complex problems into practical, high-impact solutions that balance quality, speed, and measurable business outcomes.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. The Confluence Cloud AI team builds and deploys ML solutions that drive revenue, grow the active user base, and provide forecasting for top-line metrics, handling the full ML lifecycle from problem definition to deployment and ongoing improvement. The Senior ML Engineer will focus on advanced ML algorithms and forecasting models, collaborating with Growth, GTM, Product, Finance, Sales, and engineers to deliver high-impact results. Responsibilities include end-to-end lifecycle management, data preparation, modeling, experimentation, evaluation, deployment, iteration, and designing scalable, production-ready architectures and infrastructure. The role also emphasizes clear communication to technical and non-technical audiences, mentorship of junior engineers, and balancing high-quality output with rapid iteration and measurable business outcomes.

Atlassian offers flexible, distributed-first work options—office, home, or a hybrid arrangement—and can hire people in any country where we have a legal entity, with interviews and onboarding conducted virtually. We are hiring a Senior Machine Learning Engineer to join the Confluence Cloud AI team, which builds ML solutions to drive revenue, grow the active user base, and provide sophisticated forecasting for top-line metrics. The team handles the complete end-to-end ML development lifecycle—from problem definition and experimentation through production deployment and ongoing improvement—working in a highly collaborative environment across Growth, GTM, Product, Finance, and Sales alongside experienced ML and full-stack engineers. The role involves driving the development and implementation of advanced ML algorithms for business-critical applications, building scalable, reliable forecasting models (including deep-learning-based approaches) to forecast company metrics at a granular level, and leading the lifecycle end-to-end. You will design system and model architectures, develop rigorous model-evaluation approaches, translate complex problems into practical solutions, build ML infrastructure, explain concepts to technical and non-technical audiences, mentor junior ML engineers, and balance high-quality output with rapid iteration and measurable business impact.

Atlassian offers flexible work options (office, remote, or hybrid) with virtual interviews and onboarding, and the company can hire in any country where it has a legal entity. They are seeking a Senior Machine Learning Engineer to join the Confluence Cloud AI team, which builds ML solutions to drive revenue, expand the active user base, and forecast top-line metrics. The role covers the full ML lifecycle—from problem definition and data preparation to modeling, experimentation, deployment, and iteration—with an emphasis on forecasting models and production-quality architectures. You will collaborate with teams across Growth, GTM, Product, Finance, and Sales, build scalable ML infrastructure, translate complex problems into practical solutions, and mentor junior ML engineers while explaining concepts to both technical and non-technical audiences. The position prioritizes high-quality output balanced with business practicality, rapid iteration, and measurable customer and business outcomes in a highly collaborative environment.

At Atlassian, you can work where you want and the company hires globally in countries with a legal entity. The role is on the Spark Growth team, focused on top-of-funnel customer acquisition, experimentation at scale, and building AEO/SEO features to help millions discover Atlassian products. Responsibilities include leading people and team health—mentoring engineers, fostering an inclusive culture, partnering with Talent Acquisition to hire diverse talent, and monitoring well-being and sustainability. Delivery-focused work involves owning team outcomes, making pragmatic trade-offs between feature development, technical debt, reliability, and security, and refining agile processes to improve velocity and value. Technical leadership covers setting architectural direction, establishing AEO methodologies, championing engineering excellence and system resilience, and the ideal candidate has 5+ years of managing software teams, 2+ years of leading other managers or senior engineers, a CS degree or equivalent, cloud/AI experience, and collaboration with product managers, TPMs, and designers.

Atlassian offers flexible work locations (office, home, or a hybrid) and hires in any country with a legal entity, giving employees more control over family and personal priorities. This role is with the Spark Growth team, focusing on world-class experimentation at scale to fuel customer acquisition and building AEO/SEO features that help millions discover and sign up for Atlassian products. It emphasizes People Leadership and Team Health—leading engineers, fostering an inclusive and psychologically safe culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team well-being and sustainability. Delivery & Outcome ownership includes driving top-of-funnel workstreams to deliver measurable customer and business value, making trade-offs between feature development, technical debt, reliability, and security, and refining agile processes, while Technical Leadership and Architecture involve guiding long-term strategy, establishing AEO methodologies, championing engineering excellence, and ensuring system resilience. Why Spark: meaningful early impact, collaborative learning, and a data-driven culture; the role requires 5+ years of experience managing software engineering teams, 2+ years managing managers or senior engineers, a CS degree or equivalent, strong background in distributed systems/cloud/developer tooling, and experience with AI/ML systems and cross-functional collaboration.

Atlassian offers flexible work options—office, remote, or a hybrid arrangement—and can hire people in any country where it has a legal entity. This role is with the Spark Growth team, focusing on world-class experimentation at scale to drive top-of-funnel customer acquisition and to build AEO/SEO features that help millions discover and sign up for Atlassian products. You will lead, mentor, and develop engineers, foster an inclusive and collaborative culture, partner with Talent Acquisition to hire diverse talent, and monitor team well-being and sustainability. You will own delivery outcomes across multiple top-of-funnel workstreams, make pragmatic trade-offs between features, technical debt, reliability, and security, and refine agile processes to improve velocity. You will provide technical leadership and architecture guidance, establish AEO methodologies, champion engineering excellence and system resilience, and work closely with product managers—requiring 5+ years of managing software engineering teams, 2+ years of managing managers or senior engineers, a CS degree (or equivalent), strong background in distributed systems and cloud, and experience with AI/ML systems.

Atlassian supports flexible work options—office, remote, or a mix—and hires people in any country where the company has a legal entity. The Spark team drives high-impact growth through world-class experimentation on top-of-funnel surfaces and builds AEO/SEO features to help millions discover and sign up for Atlassian products. Leadership responsibilities include mentoring and developing engineers, fostering an inclusive, collaborative, and psychologically safe culture, partnering with Talent Acquisition to hire diverse engineering talent, and monitoring team health. Delivery and outcome ownership involves steering multiple top-of-funnel workstreams to deliver measurable customer and business value, making pragmatic trade-offs among features, technical debt, reliability, and security, and refining agile processes to improve velocity; technical leadership emphasizes architectural direction, AEO methodologies, engineering excellence, and system resilience. The role offers early impact, data-driven collaboration, and requires 5+ years of experience managing software engineering teams (including 2+ years managing other engineering managers or senior/principal engineers), a CS degree or equivalent, and a strong background in distributed systems, cloud infrastructure, developer tooling, and applied AI/ML, with experience partnering with product managers, TPMs, and designers.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country where the company has a legal entity to align with personal priorities. The opportunity is with the Spark Growth team, focusing on world-class experimentation at scale to drive customer acquisition, personalization, and AEO/SEO features that help millions discover Atlassian products. The role encompasses People Leadership and Team Health, including mentoring engineers, building an inclusive culture, partnering with Talent Acquisition to hire diverse talent, and monitoring team well-being and sustainability. Delivery & Outcome Ownership involves driving cross-functional top-of-funnel workstreams, balancing feature delivery with technical debt, reliability, and security, and refining agile processes to improve velocity; Technical Leadership covers architecture direction, AEO methodologies, engineering excellence, and system resilience. The candidate profile requires 5+ years leading software engineering teams, at least 2 years managing other managers or senior/principal engineers, a CS-related degree, strong cloud/distributed systems background, and experience with AI/ML, plus collaboration with product managers, TPMs, and designers to shape strategy.

Atlassian is seeking a talented attorney and experienced people manager to lead the Americas Enterprise Sales & International Operations Legal Team within the Commercial & Global Business Operations Legal group, supporting the company’s rapidly expanding enterprise business. The role serves as a trusted advisor to senior regional and global Sales leaders and collaborates with Legal and cross-functional partners to accelerate cloud adoption and maximize the value of Atlassian’s Cloud platform and System of Work. You will shape and implement innovative approaches to providing legal support for commercial activities and lead key cloud and AI transformation projects from ideation through roadmaps, change management, ROI measurement, and results communication. Responsibilities include managing 15+ attorneys, budget and external counsel coordination, compliance training for sales, and partnering with Finance, Trust & Security, Product, Engineering, Marketing, and other functions to deliver scalable legal support. Atlassian offers flexible work options (office, home, or hybrid) and can hire in any country with a legal entity, with the role involving leadership responsibilities, long-term growth planning, OKRs, and strategic priorities for the Legal team.

The company is seeking a talented attorney and experienced people manager to lead the Americas-based Enterprise Sales & International Operations Legal team within the Commercial & GBO Legal Team, serving as a trusted advisor to regional and global sales leaders. The role aims to shape and drive efforts to accelerate enterprise cloud adoption, enabling customers to scale securely and unlock the full value of Atlassian’s Cloud platform, while being a thought leader who innovates how legal support is provided. It reports to the Deputy General Counsel and offers flexible work location; Atlassian can hire in any country where it has a legal entity. Responsibilities include partnering with Sales and cross-functional leaders, providing practical legal advice on customer-facing matters (including U.S. public sector and Latin America), supporting compliance, training sales professionals, managing a 15+ attorney team, budgeting, and coordinating external counsel. The role will lead key cloud and AI transformation projects, build roadmaps, manage change, measure ROI, communicate results, and participate in leadership planning with long-term growth plans, OKRs, and strategic priorities.

At Atlassian, the company is seeking a talented attorney and experienced people manager to lead the Americas-based Enterprise Sales & International Operations Legal team within the Commercial & Global Business Operations (GBO) Legal Team, serving as a trusted advisor to regional and global Sales leaders and helping drive cloud adoption and secure scaling of Atlassian’s Cloud platform. The role is a thought leader focused on innovating how legal support for commercial endeavors is delivered to enable growth, reporting directly to the Deputy General Counsel. Atlassian offers flexible work arrangements and hires in any country where it has a legal entity. Key responsibilities include partnering with Americas regional leaders across sales segments, leading the Americas-based Enterprise Sales & International Operations Legal team to provide practical, business-oriented advice on customer-facing matters, and managing U.S. public sector and Latin American operations, while collaborating with cross-functional leaders (Finance, Trust & Security, Commerce, GTM Ecosystems, Product, Engineering, Marketing). Additional duties include driving compliance initiatives and training, budgeting and external counsel management, building and leading a 15+ attorney team, and leading cloud and AI transformation projects from concept through ROI measurement, as well as participating in the leadership planning for the Commercial & GBO Legal Team with long-term growth plans and OKRs.

Atlassian is seeking an experienced attorney and people manager to lead the Americas Enterprise Sales & International Operations Legal team within the GBO Legal Team, advising senior Sales leaders regionally and globally and helping accelerate enterprise cloud adoption and secure scaling of Atlassian’s Cloud and System of Work. The role is a strategic, forward-looking leadership position that aims to set the course for innovation in how legal support supports commercial growth. It reports to the Deputy General Counsel, with Atlassian offering flexible work arrangements and hiring in any country where the company has a legal entity. Key duties include partnering with Sales and cross-functional leaders, supporting day-to-day compliance, managing a 15+ attorney team, budgeting and external counsel coordination, and leading cloud and AI transformation projects with ROI measurement. The position also involves serving on the Commercial & GBO Legal Team leadership, contributing to long-term growth plans, OKRs, strategic priorities, and ongoing talent development.

We are seeking a talented attorney and experienced people manager to lead the Americas Enterprise Sales & International Operations Legal Team within the Commercial & Global Business Operations Legal Team, supporting Atlassian’s expanding enterprise business and advising senior sales leaders regionally and globally. The role acts as a trusted advisor across Sales, Legal, and cross-functional partners to accelerate enterprise cloud adoption on Atlassian’s Cloud platform, enabling secure scaling and unlocking value, while driving innovation in how legal supports commercial efforts. It reports to the Deputy General Counsel, and Atlassian offers flexible work arrangements with hiring possible in any country where the company has a legal entity. Responsibilities include partnering with Americas regional leaders, managing a 15+ attorney team, overseeing compliance training, budgeting, and external counsel, and providing practical legal guidance on customer-facing commercial matters, including US public sector and Latin American operations. The role also leads cloud and AI transformation projects, sets long-term growth plans and OKRs with the GBO Legal Team, and guides strategic priorities and ROI measurement as part of the leadership group.

Atlassian is hiring a talented attorney and experienced people manager to lead the Americas Enterprise Sales & International Operations Legal team within the Commercial & Global Business Operations (GBO) Legal Team, reporting to the Deputy General Counsel. The role serves as a trusted advisor to senior regional and global Sales leaders and collaborates with leaders across Legal and other business segments to accelerate enterprise cloud adoption and enable secure scaling of Atlassian’s Cloud platform and System of Work. The candidate will be a thought leader who sets direction and drives innovation in how legal support is delivered for commercial efforts to support Atlassian’s growth and ongoing transformation. Responsibilities include leading the Americas-based Enterprise Sales & International Operations Legal team, delivering practical, business-oriented advice on customer-facing matters (including U.S. public sector and Latin American operations), and partnering with Sales, Finance, Trust & Security, Product, Engineering, Marketing, and other functions, along with conducting training and driving compliance initiatives. Additional duties cover budget management, external counsel coordination, building a team of 15+ attorneys, and leading key cloud/AI transformation projects while contributing to long-term growth planning, OKRs, and strategic priorities as a member of the leadership team.

Atlassian is seeking a talented attorney and experienced people manager to lead the Americas-based Enterprise Sales & International Operations Legal Team within the Commercial & Global Business Operations (GBO) Legal Team, reporting to the Deputy General Counsel. The role will serve as a trusted advisor to senior Sales leaders regionally and globally, collaborate with cross-functional leaders to accelerate enterprise cloud adoption, enable secure scaling, and unlock value of Atlassian’s Cloud platform and System of Work, with Atlassian supporting flexible work arrangements and hiring in any country where it has a legal entity. As a thought leader, you will drive innovation in how the Legal team supports commercial efforts to help Atlassian scale while growing your team’s careers in a dynamic, values-oriented environment. Key responsibilities include leading a 15+ attorney team, providing practical legal advice on customer-facing matters (including U.S. public sector and Latin American operations), ensuring day-to-day compliance, and managing budgeting, external counsel, goals, metrics, and organizational planning. You will also lead cloud and AI transformation initiatives from ideation through roadmaps, change management, ROI measurement, and results communication, while participating in leadership planning, setting long-term growth plans, and establishing team OKRs for the Commercial & GBO Legal Team.

Atlassian supports flexible work locations and hires people in any country where it has a legal entity. Design at Atlassian focuses on clarity, connection, and joy, delivering a unified, AI-centered experience across tools. The role leads design for Strategy Collection, Atlassian’s AI-native Strategic Portfolio Management suite (Focus, Talent, Align, powered by Rovo), tying strategic bets, workforce capacity, delivery, and financials into a single operating model. You’ll manage a design team of 5–10 today, with potential to scale to 10–15, define the 0-to-1 design vision, uphold high craft, and partner with Product and Engineering while championing AI-native design workflows for executive users. Minimum qualifications include experience scaling senior ICs or design managers and a strong portfolio demonstrating craft; hands-on AI prototyping; preferred qualifications include AI-first experience and familiarity with SPM, OKRs, enterprise analytics, or financial governance, plus a track record of growing design teams.

At Atlassian, employees can work in-office, from home, or a hybrid, and the company can hire in any country where we have a legal entity to support family, personal goals, and priorities. Design at Atlassian centers on clarity, connection, and joy, delivering a unified, AI-centered experience across tools so customers stay in flow and unlock the full power of the platform. The role leads design for Strategy Collection, Atlassian’s AI-native Strategic Portfolio Management suite (Focus, Talent, Align, powered by Rovo) that links strategic bets, workforce capacity, delivery, and financials into a single living operating model in a high-ambiguity 0-to-1 space. You’ll manage 5–10 designers now with potential to scale to 10–15 in 12–18 months, define the 0-to-1 design vision, raise craft and information-hierarchy standards, and partner with Product and Engineering on roadmaps and prioritization while championing AI-native workflows and executive-level users. Minimum qualifications include experience scaling senior ICs and/or design managers, a portfolio showing craft and simplification of complex systems, and hands-on AI prototyping; preferred qualifications include AI-first background and familiarity with SPM, OKRs, enterprise analytics, workforce planning, or financial governance, plus a track record of growing design teams through product-market-fit inflection points.

Atlassian offers flexible work options (office, home, or a mix) with virtual interviews and onboarding as part of its distributed-first culture, and hires globally where it has a legal entity. The company is on a mission to help customers win in the modern digital economy and has built a multi-billion-dollar software business with hundreds of thousands of paying customers and millions of users. This remote role reports to the Manager of the Strategic Sales segment in Deal Desk AMER and focuses on supporting high-value enterprise deals and complex transactions. Responsibilities include strategic deal structuring and modeling, providing advisory to sales, finance, and legal, mastering commercial capabilities and methodologies, building trusted advisor relationships, driving deal review and lead-to-cash processes, and ensuring products/packaging changes are deal-ready while complying with regulations. Requirements include 5+ years in a B2B SaaS deal-focused role, experience with senior stakeholders, playbook development, a BS/BA, knowledge of CPQ/QTC and core GTM systems, governance practices for strategic deal reviews, and strong Excel skills with the ability to prioritize strategic work over operational tasks.

Atlassian offers flexible, distributed-first work arrangements, allowing office, home, or hybrid work, with virtual interviews and onboarding for hires in any country with a legal entity. The company aims to help customers compete in the digital economy and has built a multi‑billion‑dollar SaaS business with 300,000 paying customers and millions of users, supported by an open, collaborative culture focused on customer success. This remote role in Deal Desk AMER reports to the Manager of Strategic Sales and supports the high‑value enterprise deal lifecycle for strategic accounts and complex transactions. Responsibilities include strategic deal structuring and modeling, providing advisory to sales, finance and legal, becoming an expert on commercial capabilities, guiding negotiation strategies, and leading cross‑functional initiatives to improve deal‑to‑cash processes while ensuring regulatory alignment. Requirements include at least five years in a B2B SaaS role focused on complex deals, experience influencing senior stakeholders, development of deal playbooks, BS/BA, and proficiency with CPQ/GTM systems and Excel, plus the ability to prioritize strategic work over operational tasks.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country with a legal entity to support employees’ family and personal goals. The Senior Business Transformation & Sales Operations Partner will drive strategic initiatives, operational rigor, and business transformation across the global Go-to-Market organization, partnering with sales leadership and cross-functional teams to shape operating models and improve the seller experience. They will govern the Sales Franchise, align processes with internal tooling roadmaps, and pilot modern sales programs and operational frameworks. In GTM Transformation & Program Delivery, they oversee end-to-end delivery of strategic programs, act as a bridge between business stakeholders, operational partners, and technical teams, and coordinate cross-functional workstreams to support scalable growth. In Process Optimization & Next-Generation Initiatives, they’ll support pipeline health and qualification, evaluate innovative workflows, design operational metrics and feedback channels, and foster cross-team collaboration across the customer journey.

Atlassian offers flexible work locations—office, home, or hybrid—and hires in any country where it has a legal entity to support employees’ family and personal priorities. The role of Senior Business Transformation & Sales Operations Partner is to drive strategic initiatives, operational rigor, and business transformation across the global Go-to-Market organization, partnering with sales leadership and cross-functional teams. In Sales Franchise & Operating Governance, the role defines and standardizes operating standards and cadence, leads cross-functional governance, and manages intake, prioritization, and change management for major initiatives. In GTM Transformation & Program Delivery, they oversee end-to-end delivery of strategic programs and system evolutions, bridge business, operational, and technical stakeholders, and facilitate feedback to reduce operational friction while coordinating cross-functional workstreams. In Process Optimization & Next-Generation Initiatives, they support pipeline health and qualification, pilot innovative workflows and data-driven selling initiatives, design and monitor operational metrics and pilots, and promote cross-team collaboration across the customer journey.

- Atlassian offers flexible work locations—office, remote, or hybrid—and can hire in any country where it has a legal entity. - The Field partnership & insights function acts as a trusted operational partner to SSE leaders worldwide, driving revenue performance, operational rigor, and strategic insights, with cross-seg and cross-geo collaboration aligned to the SSE operating model. - Forecasting & pipeline management aims to continuously improve SSE forecasting and pipeline management, partnering with front-line managers and regional leaders to boost accountability, predictability, and forecast accuracy. - Coverage, target & capacity planning supports global SSE annual and in-period planning, including territory design, target splits, headcount planning, and capacity modeling, ensuring equitable coverage and alignment to priorities, with governance-based headcount management. - Sales process design & optimization and sales excellence & operational rhythm focus on adopting franchised SSE sales practices, reducing friction, improving productivity and funnel metrics, exploring AI and automation, and collaborating with Central Operations, Analytics, Sales Acceleration & Systems, and Sales Enablement to standardize processes, support QBRs, SPIFF tracking, performance reporting, and cadence.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country where the company has a legal entity. The Field Partnership & Insights team acts as a trusted operational partner to SSE leaders worldwide, driving revenue performance, operational rigor, and strategic insights across Strategic, Enterprise, and Mid-Market segments and geographies. Forecasting & pipeline management aims to continuously improve SSE forecasting, pipeline generation, and management, partnering with front-line managers and regional leaders to boost accountability, predictability, and forecast accuracy. Coverage, target & capacity planning supports annual and in-period planning for the global SSE org, including territory design, target splits, headcount planning, and capacity modeling, ensuring equitable coverage and alignment with growth, and assisting field leaders with headcount management per published policies. Sales process design & optimization and sales excellence & operational rhythm drive the adoption of SSE-specific sales practices to improve consistency and effectiveness, identify friction, lead initiatives to improve productivity, engagement tracking, and funnel metrics, and collaborate with Central Operations, Analytics, Sales Acceleration & Systems, and Sales Enablement to standardize processes, support QBRs, SPIFF tracking, performance reporting, and rhythm-of-business cadences.

Atlassians can choose where they work—office, home, or a mix—and the company hires in any country where it has a legal entity. Sales Development Representatives partner with Sales and Success Account Teams to build the sales pipeline while ensuring a delightful customer experience, and they report to a Sales Development Manager. What you’ll do: be accountable for meeting setting, outbound prospecting, conversion, quota, and activity metrics. You’ll need to navigate objections with value-driven messaging and be great at writing relevant emails and video prospecting to drive value for customers. You’ll build the pipeline in partnership with Sales and Success Account Teams, using tools like SFDC, Gong, Outreach, and LinkedIn Navigator.

Atlassian offers flexible work arrangements—office, remote, or hybrid—to give employees more control over personal priorities. The company hires people in any country where it has a legal entity. The Sales Development Representative role partners with Sales and Success Account Teams to build sales pipeline while ensuring a positive customer experience. The role reports to a Sales Development Manager and is responsible for meeting setting, outbound prospecting, conversion, quota attainment, and activity metrics, including navigating objections with value-driven messaging and crafting effective emails and video outreach. The role involves building the pipeline in collaboration with Sales and Success teams and using tools like SFDC, Gong, Outreach, and LinkedIn Navigator.

At Atlassian, employees can work anywhere and the company hires globally, with the Rovo team building search and ML capabilities to connect agents with enterprise knowledge across products and connected applications. The Principal Architect will define how enterprise search powers AI agents, owning the architecture that links retrieval, agent orchestration, context construction, evaluation, and large language model training. You’ll set system boundaries and interfaces, design for enterprise complexity across heterogeneous content and permissions, and balance search quality with scalability, latency, cost, and reliability. You’ll specify evaluation benchmarks, guide reproducible experiments, train LLMs for agentic search (including supervised fine-tuning, preference optimization, and reinforcement learning), and design continuous improvement loops that preserve privacy and evaluation integrity. You’ll lead technical direction across teams, define a multi-quarter roadmap, validate architectures with prototypes, and be accountable for measurable improvements in agent task success.

Atlassian offers flexible work locations—office, remote, or a mix—and hires in any country where it has a legal entity. Rovo builds search and machine-learning capabilities to help AI agents find, understand, and act on enterprise knowledge across Atlassian products and connected apps. The Principal Architect role focuses on defining an enterprise search architecture that powers agentic search, owning areas such as retrieval, agent orchestration, context construction, evaluation, and LLM training. Responsibilities include establishing system boundaries and reusable interfaces, designing for enterprise complexity (permissions, tenant isolation, freshness), balancing search quality with scalability and cost, and leading evaluation, experiments, data pipelines, and model training improvements. The role also involves leading cross-team technical direction with a multi-quarter roadmap, prototyping and validating the architecture, mentoring engineers and scientists, and driving measurable gains in agent task success.

At Atlassian, employees can choose to work from an office, remotely, or a mix, with global hiring wherever there is a legal entity. The role involves regularly tackling large, complex problems and providing technical leadership on high-impact projects from design to launch. It includes addressing architecture challenges, applying architectural standards, and bringing those standards into new projects, while raising the technical bar across the organization. The position requires partnering with Engineering teams on company-wide initiatives that span multiple projects and sharing best engineering practices to improve excellence. It also involves mentoring and growing the next generation of technical leaders at Atlassian.

Atlassian offers flexible work options—office, remote, or a hybrid approach—so employees can balance family, personal goals, and other priorities. Atlassian hires people in any country where the company has a legal entity. In this role, you will regularly tackle the largest and most complex problems on the team, from technical design to launch. You will provide technical leadership on high-impact projects, determine plans of attack on large projects, and routinely tackle complex architecture challenges while applying architectural standards. You will champion a high technical standard across Atlassian, partner with Engineering teams on company-wide initiatives, and mentor the next generation of technical leaders by sharing knowledge and best practices.

Atlassian offers flexible work options—office, home, or a mix—to give employees control over personal priorities. They can hire people in any country where Atlassian has a legal entity. In this role, you will regularly tackle the largest and most complex problems on the team, from technical design to launch, and provide technical leadership on high-impact projects. You will routinely address complex architecture challenges, apply architectural standards, and propagate them to new projects, while championing a high technical standard across the organization. You will mentor and grow the next generation of technical leaders, transfer your depth of knowledge, share best practices, and drive company-wide engineering initiatives.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a combination to support personal goals and priorities. The company hires people in any country where it has a legal entity. The role involves tackling large, complex problems from technical design to launch and providing technical leadership on high-impact projects. It requires addressing complex architecture challenges, applying architectural standards, and championing high technical standards across the organization. The role also includes partnering with engineering teams on company-wide initiatives, sharing best practices to raise engineering excellence, and mentoring the next generation of technical leaders at Atlassian.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. The role involves tackling the largest and most complex problems, providing technical leadership on high-impact projects, and planning approaches for large initiatives. It requires solving complex architecture challenges and applying architectural standards to new projects. The position entails championing technical excellence across the organization, raising the technical bar, evangelizing high standards, and collaborating with Engineering on company-wide initiatives. It also includes transferring knowledge, sharing best practices to improve engineering excellence, and mentoring the next generation of technical leaders at Atlassian.

Atlassian offers flexible work options, letting employees work in an office, from home, or a mix to support their priorities. The company hires people in any country where it has a legal entity. In this role, you will regularly tackle the largest and most complex problems from technical design to launch and provide technical leadership on high-impact projects. You will routinely handle complex architecture challenges, apply architectural standards, and promote them on new projects, acting as a champion for raising the technical bar. You will collaborate across engineering teams on company-wide initiatives, share deep knowledge and best practices to improve engineering excellence, and mentor the next generation of technical leaders at Atlassian.

At Atlassian, employees can work from office, home, or a hybrid setup, giving them greater control over family, personal goals, and priorities. The company hires in any country where it has a legal entity. The role involves setting strategic direction for Security, Compliance, GRC, and Privacy across multi-year portfolios and leading cross-functional delivery with Trust Engineering, Product, Platform, Legal, GRC, and IT. It emphasizes secure-by-default engineering and regulated market readiness, embedding automated security controls, AI-native SDLC practices, software supply chain defenses, continuous vulnerability monitoring, and certifications like FedRAMP. It aims to turn ambiguity into clarity by structuring governance and decision forums, influencing C-level leadership with fact-based risk insights, and building durable risk-prioritization and evidence frameworks, while measuring impact through metrics on security posture, vulnerability reduction, audit readiness, and business value.

- Atlassian supports flexible work options—office, remote, or hybrid—giving employees control to support family and personal goals. - The company hires in any country where it has a legal entity. - At the portfolio level, Atlassian sets strategic direction and drives a multi-year program across Security, Compliance, GRC, and Privacy, aligning company priorities with executive decisions. - They lead cross-functional delivery across Trust Engineering, Product, Platform, Legal, GRC, and IT, embedding secure-by-default engineering with automated security controls, AI-native SDLC, software supply chain defenses, and continuous vulnerability monitoring. - They enable regulated market access, turn ambiguity into clarity through decision forums, influence executive leadership with risk insights, establish scalable risk and compliance mechanisms, and measure impact with metrics on security posture, vulnerability reduction, audit readiness, and business value.

At Atlassian, employees can work in an office, from home, or a mix, and the company hires in any country where it has a legal entity. They’re seeking a versatile, seasoned sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing robust data pipelines and a context layer for AI agents. You’ll design and maintain data infrastructure to ensure data quality, consistency, and accessibility, build canonical datasets via high-volume ETL/ELT pipelines using data lake and data warehousing concepts, and monitor data drift across Salesforce, Oracle Fusion, Gainsight, and Databricks. The role includes leading data product development, owning core system data transformations from requirements through UAT to implementation, partnering with finance and cross-functional teams to flag inconsistencies, and performing sizing analyses with impact assessments for transformative changes. You’ll also drive process improvements to remove manual steps, support UAT/QA for bug fixes and feature releases, and develop an AI-ready data context layer to enable scalable analytics across the company.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity. They seek a versatile, seasoned sales data analyst or analytics engineer focused on aligning data between enterprise go-to-market and finance. The role will design clean, robust data pipelines and infrastructure to monitor data drift between systems such as Salesforce, Oracle Fusion, Gainsight, and Databricks, and will help evolve our data stack while championing best practices in data processing and analytics design, including building a robust context layer for safe AI interactions. Responsibilities include building canonical datasets by developing high-volume ETL/ELT pipelines using data lake and data warehousing concepts, leading the development of data products and an AI context layer to scale analytics access across the company, and ensuring data quality, consistency, and accessibility for analytical workflows. You’ll partner with finance, data engineering, and other cross-functional teams to flag data inconsistencies that affect close of books, perform sizing analyses for infrastructure changes with impact assessments, develop SME-level knowledge of core system data transformations, drive efficiency improvements, and conduct UAT/QA on bug fixes and feature releases.

Atlassian lets employees choose where they work—office, home, or a mix—and hires in any country where it has a legal entity, giving people more control over family, personal goals, and priorities. They are looking for a versatile, seasoned sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing clean, robust data pipelines and infrastructure to monitor data drift between systems like Salesforce, Oracle Fusion, Gainsight, and Databricks. As a senior analytics engineer, you’ll evolve the data stack, champion best practices in data processing and analytics design, and build a robust AI context layer on top of data to enable safe AI agents to interact. You’ll design, build, and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows; lead the development of data products and canonical datasets through high-volume ETL/ELT pipelines using data lake and data warehousing concepts; and partner with finance and other cross-functional teams to track and flag data inconsistencies that affect close. You’ll perform sizing analyses for transformational and ad-hoc data infrastructure changes, own SME-level knowledge of core system data transformations from requirements to UAT to deployment, seek efficiencies to remove manual processes and improve data accuracy, and investigate bugs with QA/UAT on releases.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. They are seeking a versatile, seasoned sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing robust data pipelines and monitoring data drift across systems like Salesforce, Oracle Fusion, Gainsight, and Databricks. The role involves evolving the data stack, championing best practices in data processing and analytics design, and building a robust AI-context layer to enable safe and scalable AI agent interactions. Responsibilities include building and maintaining canonical datasets with high-volume ETL/ELT pipelines, partnering with finance and other cross-functional teams to flag data inconsistencies that affect the financial close, and leading data product development. Additional duties cover conducting sizing analyses for infrastructure changes, owning SME-level data transformations from requirements through UAT to deployment, improving processes to remove manual work, and performing UAT/QA on bug fixes and feature releases.

The role is for a highly strategic, analytical, and execution-driven Program Manager to lead complex, cross-functional transformation initiatives across Product, GTM, Strategy, and Operations, requiring ownership, structured problem-solving, and executive communication to bring clarity and momentum to ambiguous environments. You will design and manage a unified Transformation Operating Model and a single source of truth across Product, Sales, Success, Strategy, and Operations, leveraging Atlassian tools to deliver integrated roadmaps and cross-vector dependency tracking for visibility and alignment. You will own program outcomes end-to-end, including success metrics and alignment to strategic goals, surface risks early, manage interdependencies to protect timelines, and synthesize data into actionable insights and progress reports. You will apply strategic problem-solving, systems thinking, and data-driven decision-making, proactively resolve obstacles, and communicate clearly to diverse audiences, influencing executives and preparing dashboards and updates to support decision-making. You will establish governance, DRIs, decision cadences, planning rituals, and teaming structures; create clarity through program charters, problem statements, success metrics, and LRPs; and lead quarterly planning and portfolio prioritization with rigorous backlog management.

The organization is seeking a highly strategic, analytical, and execution-driven Program Manager to lead cross-functional transformation initiatives across Product, GTM, Strategy, and Operations, requiring ownership, structured problem-solving, effective executive communication, and the ability to bring clarity in ambiguous environments. The role involves designing and managing a unified transformation operating model and a Connected & Transparent Transformation Portfolio, maintaining a single source of truth across Product, Sales, Success, Strategy, and Operations, and using Atlassian tools to deliver integrated roadmaps and cross-vector dependency tracking. You will own program outcomes end-to-end, surface risks early, manage interdependencies to protect timelines, and collect, analyze, and synthesize data to produce actionable insights and dashboards that track performance and progress. The position emphasizes strategic problem-solving, data-driven decision making, and systems thinking to identify root causes, develop clear, actionable solutions, and provide recommendations that improve impact and efficiency across programs. You will translate strategy into actionable plans, establish governance and planning rituals, lead quarterly planning and portfolio prioritization, oversee backlog management, and create clarity through program charters, problem statements, success metrics, and long-range plans to ensure initiatives are properly sequenced, staffed, and funded.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires in any country with a legal entity, giving employees more control over family, personal goals, and priorities. DX is the developer intelligence platform that helps engineering leaders understand how work gets done, improve developer experience, and make better decisions about productivity and AI by combining self-reported insights with data from the systems where software work happens to produce actionable insights. Design at DX is fast, hands-on, and deeply collaborative; designers partner with Product and Engineering from problem definition through implementation, stay close to customers and GTM partners, help determine what is built and how it works, contribute to the production codebase, and participate in the broader Atlassian design community. The role is a Principal Product Designer to lead product design across DX as an individual contributor with DX-wide influence, serving as the design counterpart to the Head of Product and Head of Engineering and guiding DX’s most consequential design work to make complex engineering data understandable and actionable. Responsibilities include setting the end-to-end experience vision, shaping product strategy with leadership, turning complex engineering data into coherent experiences through information architecture, interaction design, data visualization, and analytical workflows; leading customer research from discovery to post-launch; leveraging AI-native workflows and production code; defining and tracking experience outcomes; establishing scalable patterns aligned with the Atlassian Design System; coordinating with leadership to set priorities; and directing design critiques while mentoring other designers.

Atlassian offers flexible working options—office, remote, or hybrid—and hires globally wherever there is a legal entity, giving employees more control over family, personal goals, and priorities. DX is Atlassian's developer intelligence platform that helps engineering leaders understand how work gets done, improve developer experience, and make better decisions about productivity and AI by turning self-reported insights and system data into actionable signals. Design at DX is fast, hands-on, and collaborative, with designers partnering with Product and Engineering from problem definition through implementation, staying close to customers and GTM partners, contributing to production code, and participating in the broader Atlassian design community. The Principal Product Designer will lead DX's product design as an individual contributor, setting direction and quality for the DX design team and focusing on making complex engineering data easier to understand by organizing experiences around the questions different roles need to answer. Responsibilities include setting the end-to-end DX experience vision, shaping product strategy and backlog with leadership, translating data into persona- and jobs-to-be-done-based experiences, leading cross-functional research and iteration, using AI-native workflows and prototypes, guiding AI-driven changes to the product, defining experience metrics, establishing scalable patterns aligned with the Atlassian Design System, and mentoring designers.

- Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, and is seeking a US-based Outbound Product Manager for Service Collection. - The OPM sits at the intersection of product strategy and the field (and is not a quota-carrying seller or a conventional PMM), turning the High Touch GTM plays into a repeatable product and competitive advantage across multiple functions. - The primary focus is Transformation & Compete (driving migration from fragmented or incumbent platforms to the Service Collection model) and Enterprise Trust & Compliance (embedding security, governance, residency, and reliability requirements into product strategy and customer proof). - Responsibilities include owning the operating system for priority plays, translating field signals into product strategy, leading cross-functional execution without formal authority, and building durable mechanisms such as playbooks, dashboards, and measurement systems. - Required qualifications include significant experience in relevant roles, strong communication and influence, and willingness to travel; preferred qualifications include service management or IT operations background, familiarity with security/compliance concepts, experience building field-to-product mechanisms, and success operating across distributed teams, all grounded in a customer-focused, evidence-led, strategic-but-operational mindset.

Atlassian lets employees choose where they work and hires in any country where they have a legal entity. Atlassian is building Service Collection and is hiring a US-based Outbound Product Manager to turn High Touch GTM plays into a repeatable product and competitive advantage, sitting at the intersection of product strategy and the field as a mini GM; this is not a quota-carrying seller and not a conventional product marketing role, and you will collaborate across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and executive leadership. The primary focus is Transformation & Compete—helping customers move from fragmented or incumbent platforms to a modern Service Collection operating model—and Enterprise Trust & Compliance—translating security, data governance, residency, reliability, and regulated-industry requirements into product strategy and proof. Responsibilities include owning the operating system for priority plays, turning field signals into product strategy, leading cross-functional execution without formal authority, and building durable mechanisms like playbooks, dashboards, and templates that scale beyond one person or account. Requirements include significant experience in enterprise-focused product or related roles, ability to transform ambiguity into executable strategy, strong communication and influence, travel willingness, with preferred background in service management, security/compliance concepts, and field-to-product mechanisms; and key personal attributes such as being evidence-led, commercially literate, customer-grounded, low ego, and a system builder.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever they have a legal entity. They are hiring a US-based Outbound Product Manager for Service Collection to turn High Touch go-to-market plays into a repeatable product and commercial advantage, working across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and executive leadership, and this is not a quota-carrying seller nor a conventional product marketing role. The role centers on Transformation & Compete and Enterprise Trust & Compliance, translating security, data governance, residency, reliability, and regulated-industry requirements into product strategy, roadmap influence, field readiness, and customer proof, acting as a mini general manager at the field-product boundary. Responsibilities include owning the operating system for priority plays with clear plans and cadence, turning field signals into actionable product strategy with evidence-backed briefs, leading cross-functional execution without formal authority, and building durable, scalable mechanisms like playbooks, templates, dashboards, and definitions of play health. Requirements include significant experience in relevant roles within B2B enterprise software, ability to convert ambiguous customer or market problems into executable strategy, knowledge of enterprise buying and compliance concepts, travel willingness, and attributes such as being evidence-led, commercially literate, technically credible, customer-grounded, low ego, ownership-minded, and a system builder.

Atlassian supports working from anywhere and hires globally where it has a legal entity. The Service Collection initiative aims to build a modern enterprise service management operating system, and they’re hiring a US-based Outbound Product Manager to turn High Touch GTM plays into a repeatable product and commercial advantage with cross-functional collaboration. The OPM role is not quota-carrying nor a conventional PMM; it sits at the intersection of product strategy and the field, acting as a mini GM who identifies enterprise patterns and converts customer and competitive evidence into product action. Key responsibilities include owning the operating system for priority plays, turning field signals into strategy, leading cross-functional execution without formal authority, and building durable mechanisms like playbooks and dashboards. Requirements include significant enterprise product or related experience, the ability to translate ambiguous problems into executable plans, strong communication and analytical judgment, influence without formal authority, willingness to travel, and preferred experience in service management, security/compliance, and field-to-product mechanisms.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. They are hiring a US-based Outbound Product Manager for Service Collection to turn their High Touch GTM plays into a repeatable product and commercial advantage; this role is not a quota-carrying seller and not a conventional product marketing role, but sits at the intersection of product strategy and field work. The OPM acts as a mini GM, owning the operating system for priority plays and turning enterprise field evidence into product action while building scalable mechanisms. Responsibilities include translating GTM strategy into operating plans and rhythms, turning customer and competitive signals into product strategy, and leading cross-functional execution with clear ownership and risk management. Required qualifications include significant enterprise B2B product experience, ability to turn ambiguous problems into strategy, understanding of enterprise software buying, and strong communication; preferred qualifications include service management or IT operations experience, security/compliance familiarity, and a track record building field-to-product mechanisms and operating across distributed teams.

Atlassian supports flexible work locations (office, home, or a mix) and hires globally wherever they have a legal entity. The opportunity is a US-based Outbound Product Manager for Service Collection, tasked with turning High Touch GTM plays into a repeatable product and commercial advantage while collaborating across many functions, with a focus on Transformation & Compete and Enterprise Trust & Compliance. The role acts as a mini GM, owning the operating system for priority plays, turning field evidence into product action, and building durable, scalable mechanisms rather than one-off efforts. Required qualifications include extensive experience in B2B enterprise product-related roles, the ability to convert ambiguous problems into executable strategy, and familiarity with enterprise buying, with additional emphasis on competitive displacement or trust/compliance topics and willingness to travel. Desired attributes cover strategic yet operational thinking, evidence-led decision making, commercial and technical credibility, customer focus, low ego and high ownership, and the ability to build systems across distributed teams.

Atlassian offers flexible work locations and hires in any country where it has a legal entity. They’re building Service Collection and are seeking a US-based Outbound Product Manager to convert High Touch GTM plays into a repeatable product and competitive advantage, collaborating across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and leadership. The OPM is not a quota-carrying seller or conventional product marketer; they act as a mini GM, turning customer and competitive evidence into product strategy and building scalable operating mechanisms for enterprise transformation, trust, and compliance. Responsibilities include owning the operating system for priority plays, turning field signals into strategy with executive-ready briefs, leading cross-functional execution without formal authority, and creating durable playbooks, dashboards, and measurement systems. Requirements include significant experience in relevant product or enterprise roles, the ability to convert ambiguity into executable plans, strong communication and influence skills, willingness to travel, and preferences for service management, security/compliance, field-to-product mechanisms, and distributed-team experience, all underpinned by evidence-led, customer-grounded, system-building attributes.

- Atlassian supports flexible work locations—office, home, or a hybrid—and hires in any country where the company has a legal entity. - The Revenue Operations team serves as a strategic partner to Atlassian’s customer-facing groups, translating business priorities into clear operating plans, scalable processes, and reliable insights across strategy, operations, systems, and analytics to improve post-sales performance at scale. - The role sits in a team that provides operational support to the Customer Success organization and cross-functional Strategy & Analytics teams, helping leaders coordinate priorities, define reporting needs, and run effective business rhythms. - Responsibilities include partnering with senior Customer Success leaders to shape priorities and annual planning, coordinating cross-functional programs, defining reporting cadences and roadmaps, translating business questions into analytical requirements, architecting data needs and scalable dashboards, and improving data quality and reporting across Salesforce, Gainsight, and Tableau. - It also involves driving accountability for cross-functional initiatives, building leadership-ready materials, and identifying automation and AI-enabled opportunities to simplify work and boost speed, consistency, and scale.

At Atlassian, employees can choose office, remote, or hybrid work arrangements and the company hires in any country where it has a legal entity. The Revenue Operations team acts as a strategic partner to customer-facing groups, turning business priorities into clear operating plans, scalable processes, and reliable insights to improve post-sales performance. The role sits in the Your Future Team, providing operational support to the Customer Success organization and cross-functional Strategy & Analytics teams to coordinate priorities and reporting. Responsibilities include shaping operational priorities with senior Customer Success leaders, coordinating cross-functional programs, defining cadences and roadmaps, translating business questions into analytics requirements, and building scalable data and reporting frameworks across Salesforce, Gainsight, and Tableau. It also emphasizes driving accountability, delivering leadership-ready materials, and identifying automation and AI-enabled workflows to enhance speed, consistency, and scale.

Atlassian supports flexible work locations and hires in any country with a legal entity. The Revenue Operations team partners with customer-facing organizations to translate business priorities into clear operating plans, scalable processes, and reliable insights across strategy, operations, systems, and analytics to improve post-sales performance. The role focuses on providing operational support to the Customer Success organization and cross-functional Strategy & Analytics teams, helping leaders coordinate priorities, define reporting needs, and run effective business rhythms. Key responsibilities include partnering with senior Customer Success leaders to shape priorities and planning, coordinating cross-functional programs, defining reporting cadences and roadmap visibility, translating business questions into analytic requirements, and architecting data requirements for scalable dashboards across post-sales workflows. It also involves collaborating with analytics, systems, and tooling teams to improve data quality across Salesforce, Gainsight, and Tableau; driving accountability for initiatives, producing leadership-ready materials, and identifying automation and AI opportunities to improve speed and scale.

Atlassian supports flexible work arrangements—employees can work in office, from home, or a mix, and the company hires in any country with a legal entity. The Revenue Operations team is a strategic partner to Atlassian’s customer-facing organizations, turning business priorities into clear operating plans, scalable processes, and reliable insights to improve post-sales performance at scale. The role described focuses on providing operational support to the Customer Success organization and cross-functional Strategy & Analytics teams, helping leaders coordinate priorities, define reporting needs, and run effective business rhythms. Responsibilities include partnering with senior Customer Success leaders to shape operational priorities, support annual planning, coordinate cross-functional programs, and define reporting cadences, planning calendars, and roadmap visibility for leadership reviews. It also involves translating business questions into analytical requirements, architecting operational data and scalable reporting frameworks across post-sales workflows, improving data quality across platforms like Salesforce, Gainsight, and Tableau, and pursuing automation and AI-enabled workflows to boost speed and consistency.

- Atlassian offers flexible work locations—office, home, or a mix—and hires in any country where the company has a legal entity to support employees' personal priorities. - The Revenue Operations team acts as a strategic partner to Atlassian's customer-facing organizations, translating business priorities into clear operating plans, scalable processes, and reliable insights for post-sales performance at scale. - The role is part of the Your Future Team, focusing on providing operational support to the Customer Success organization and cross-functional Strategy & Analytics teams to coordinate priorities and reporting needs and run effective business rhythms. - Key responsibilities include partnering with senior Customer Success leaders to shape operational priorities, coordinate cross-functional programs, and define cadences, calendars, and roadmap visibility for leadership reviews and strategic deliverables. - It also entails translating business questions into analytical requirements, architecting data needs and scalable reporting, improving data quality and usability across platforms such as Salesforce, Gainsight, and Tableau, driving accountability for cross-functional initiatives, and identifying automation/AI opportunities to improve speed and scale.

At Atlassian, teammates can work from an office, from home, or a mix of both, and we hire in any country where we have a legal entity. Your Future Org is the Revenue Operations team, a strategic partner to Atlassian’s customer-facing groups that helps turn business priorities into clear operating plans, scalable processes, and reliable insights. Your Future Team supports the operational foundations of Atlassian’s post-sales business, providing operational support to the Customer Success organization and cross-functional Strategy & Analytics teams. Responsibilities include partnering with senior Customer Success leaders to shape priorities, coordinate cross-functional programs, define reporting cadences and roadmaps, translate business questions into analytic requirements, and architect data needs and scalable reporting. The role also involves improving data quality across platforms such as Salesforce, Gainsight, and Tableau; driving structured tracking and accountability for initiatives; creating leadership-ready materials; and identifying automation and AI opportunities to enhance speed, consistency, and scale.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity. The Revenue Operations team is a strategic partner to customer-facing groups, translating business priorities into clear operating plans, scalable processes, and reliable insights across strategy, operations, systems, and analytics to improve post-sales performance. The role focuses on providing operational support to the Customer Success organization and cross-functional Strategy & Analytics teams, helping leaders coordinate priorities, define reporting needs, and run effective business rhythms. Responsibilities include partnering with senior Customer Success leaders on priorities and annual planning, coordinating cross-functional programs, managing reporting cadences and roadmaps, translating business questions into analytics requirements, and architecting data and dashboards across post-sales workflows while enhancing data quality and usability in Salesforce, Gainsight, and Tableau. The position also emphasizes driving accountability, producing leadership-ready materials, and identifying automation and AI-enabled workflows to improve speed, consistency, and scale.

Atlassian offers flexible work locations and hires globally where they have a legal entity, aiming to unleash the potential of every team. Central to this mission is the Teamwork Graph (TWG), a real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities, with the belief that personal working environment context is the next AI-powered frontier. The company is seeking a Principal Machine Learning Engineer (P60) to lead and design knowledge graph projects that build this personal context layer and scale it through Rovo Chat and the Teamwork Graph CLI. You’ll build Personal Work Context Graphs, design inference pipelines, schemas, permissions, and evaluation frameworks; integrate this context into Rovo Chat to improve relevance, groundedness, and efficiency; and develop context-selection strategies with the Rovo Chat team. You’ll deliver context through low-latency, permission-safe APIs and CLI, enable MCP-compatible agents to query a user’s work environment in real time, and provide technical leadership across Knowledge AI, Teamwork Graph, and product teams while mentoring engineers with a focus on privacy-safe AI and data quality.

Atlassian supports flexible work locations and hires people in any country where it has a legal entity, helping employees balance life goals with the company's mission to unleash the potential of every team. Central to that mission is the Teamwork Graph, a real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities across Atlassian and connected tools. They believe the next AI-powered frontier is personal working environment context—knowing who you collaborate with, what you’re actively working on, and which documents matter now—so Rovo Chat, agents, and the TWG CLI can deliver precise, relevant, actionable answers. The Principal Machine Learning Engineer (P60) will lead and design knowledge graph projects to build this personal context layer and scale it through Rovo Chat and the Teamwork Graph CLI, including building Personal Work Context Graphs, inference pipelines, schemas, permissions, and evaluation frameworks. Responsibilities include integrating context into Rovo Chat, delivering low-latency, permission-safe APIs and CLI experiences, enabling MCP-compatible agents to query a user’s work environment in real time, and providing technical leadership across Knowledge AI, Teamwork Graph, and product teams with a focus on privacy-safe AI and data quality.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity to support personal and family priorities, all while pursuing the mission to unleash the potential of every team. - Central to that mission is the Teamwork Graph, a real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities across Atlassian and connected third-party tools. - Atlassian believes the next frontier of AI-powered teamwork is personal working environmental context—knowing who you collaborate with, what you’re actively working on, and which documents matter—so Rovo Chat, agents, and the TWG CLI can deliver precise, relevant, and actionable answers. - They’re seeking a Principal Machine Learning Engineer to lead and design knowledge graph projects that build this personal context layer and scale it through Rovo Chat and the Teamwork Graph CLI. - Responsibilities include building Personal Work Context Graphs and inference pipelines with schemas and permissions, integrating context into Rovo Chat, delivering low-latency APIs and CLI experiences, enabling real-time, permission-safe queries for MCP-compatible agents, and providing cross-team technical leadership with a focus on privacy-safe AI and data quality.

Atlassian supports flexible work locations and global hiring where they have a legal entity, enabling employees to balance family and personal goals. The company’s mission is to unleash the potential of every team, centered on the Teamwork Graph—a real-time, permissions-aware knowledge graph that unifies people, teams, projects, content, and activities across Atlassian and connected tools. They see the next frontier of AI-powered teamwork as personal working environment context—knowing who you collaborate with, what you’re actively working on, and which documents matter now—to deliver precise, relevant answers via Rovo Chat and the TWG CLI. They’re seeking a Principal Machine Learning Engineer (P60) to design and lead knowledge graph projects that build this personal context layer and scale it through Rovo Chat and the TWG CLI, including building personal work context graphs, inference pipelines, schemas, permissions, and evaluation frameworks. The role includes integrating context into Rovo Chat, delivering low-latency, permission-safe graph APIs and CLI experiences, enabling MCP-compatible agents to query a user’s work environment in real time, and providing technical leadership across Knowledge AI, Teamwork Graph, and product teams with a focus on privacy-safe AI and data quality.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally wherever it has a legal entity, enabling Atlassians to support family and personal goals. They seek an experienced Principal/Director-level HR Business Partner to support the Go-to-Market organization, focusing on Sales, acting as a trusted advisor on org design, performance and talent, capability building, culture, AI-enabled ways of working, and leading the long-term people agenda and immediate issue resolution. The role is based in the USA/Canada and works with distributed teams across time zones, with responsibilities including strategic partnership with senior Sales leaders, diagnosing org health, workforce planning and restructures, and driving AI-enabled organizational changes. Additional duties cover talent, performance and growth cycles, coaching leaders to build high-performing teams, partnering with Talent Acquisition on hiring and assessment, using data to identify capability gaps, managing sales compensation and performance, and ensuring policy compliance and data integrity. Must-have experience includes a Principal/Director HRBP role supporting 1000+ person, complex matrixed environments, influencing SVP/C-suite stakeholders, strong HR foundations across org design, performance, employee relations, rewards, and change management, and comfort with sales compensation and data-driven decisions; nice-to-have items include AI-enabled transformation experience, familiarity with HR tech stacks, and a professional HR qualification (e.g., SHRM).

Atlassian offers flexible work locations (office, remote, or hybrid) and hires in every country where it has a legal entity; the role is for an experienced HR Business Partner to support the Go-to-Market organization with a Sales focus, based in the USA/Canada and working with distributed teams across time zones. You’ll partner closely with Sales leaders as a trusted advisor on org design, performance and talent, capability building, culture and AI-enabled ways of working, and support related people programs and initiatives. Responsibilities span strategic partnership to translate business strategy into a clear people plan, diagnosing org health across GTM, and leading org design and workforce planning (including AI-assisted roles) aligned to GTM priorities; you’ll shape the long-term people agenda for GTM and AI transition while handling real-time issues. The role also leads the performance and growth cycles for client groups, coaches Sales leaders to build high-performing teams, partners with Talent Acquisition on senior hiring and assessment, and uses data to identify capability gaps and develop targeted development solutions; it also covers employee relations, sales compensation interpretation, policy compliance, and fair application across regions. Must-have qualifications include significant experience as a Principal/Director HRBP in a large, matrixed environment with influence at SVP/C-suite level; strong HR discipline across org design, performance, talent, and change; experience with sales compensation and data-driven decision-making; comfort with distributed teams; and professional HR credentials; nice-to-have includes AI-enabled transformation experience and familiarity with modern HR tech stacks.

At Atlassian, employees can work from an office, home, or a mix, and the company hires globally where it has a legal entity. They are seeking a Sales Leader to oversee a team of Teamwork Collection Specialists, focusing on enterprise-level sales strategies that highlight the Teamwork Collection and use cases involving Loom and Rovo alongside Jira and Confluence to meet aggressive revenue targets. The role requires collaboration with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales procedures, drive value propositions, and improve customer satisfaction, as well as recruiting and nurturing top sales talent. Responsibilities include leading the team to achieve targets in the Enterprise and Strategic segments, developing strategic plans to expand market share, mentoring the team, setting and tracking performance metrics, recruiting as needed, and analyzing sales data and market trends. Additional duties involve maintaining relationships with peer leaders, providing regular updates to senior management, staying informed about industry trends and competitors, and applying a working knowledge of organizational teamwork workflows with a focus on Software Delivery and the growing role of AI in Enterprise and Strategic segments.

At Atlassian, employees can work in an office, from home, or a combination of the two, with hires possible in any country where the company has a legal entity to support staff priorities and family needs. They are seeking a Sales Leader to oversee a team of Teamwork Collection Specialists, develop enterprise-focused sales strategies that highlight the Teamwork Collection, and drive aggressive revenue targets using Loom and Rovo alongside Jira and Confluence, collaborating with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers. The role includes recruiting top sales professionals, nurturing a high-performance culture, and building strong relationships with Enterprise and Strategic clients while leading the team to achieve sales targets in those segments. Responsibilities also cover developing strategic plans to penetrate and expand market share, mentoring and coaching the sales team, setting and monitoring performance goals, recruiting new members, and analyzing sales data and market trends to identify growth opportunities and drive continuous improvement. Additional duties involve maintaining relationships with peer leaders across Core and complementary Collection teams, providing regular updates to senior management, staying informed about industry trends and competitors, and applying knowledge of organizational teamwork workflows with emphasis on Software Delivery and AI in the Enterprise and Strategic segments.

Atlassian offers flexible work locations and hires globally where it has a legal entity, and is seeking a Sales Leader to oversee a team of Teamwork Collection Specialists to drive enterprise sales of the Teamwork Collection, leveraging Loom, Rovo, Jira, and Confluence. The role entails developing and executing tailored enterprise sales strategies for customers, collaborating with Core account teams, Channel Partners, other Product Specialists, Account Managers, and Solution Engineers to refine sales motions and maximize value and revenue targets. You will recruit top sales talent, foster a high-performance culture, and build strong relationships with Enterprise and Strategic clients, while leading the Teamwork Collection Specialists to achieve sales targets in those segments. Key duties include setting performance goals, coaching and mentoring, onboarding new hires, analyzing sales data and market trends to identify opportunities, and providing regular performance updates to senior management. The position also involves maintaining cross-functional relationships with peer leaders across Core and complementary Collection teams, staying current on industry trends and competitors in the Enterprise/Strategic space, and applying knowledge of organizational teamwork workflows with an emphasis on Software Delivery and AI's growing role.