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Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have 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, and the candidate should be comfortable as either an individual contributor or a manager. The Agent Platform Team builds foundational, secure, scalable capabilities for AI agents, integrated with Rovo, Teamwork Graph, Jira agent workflows, and related products, enabling agents to reason over work context and orchestrate tools. Atlassian is investing in AI-native experiences, so the leader will translate broad AI strategy into practical platform capabilities and establish an execution rhythm across fast-moving AI platform work, requiring both ML and systems depth. Key responsibilities include setting technical direction with stakeholders, coaching and growing a team (hiring, performance, career development), hands-on production coding, guiding decisions on ML systems, evaluation, observability, and operations, and building an inclusive, high-accountability culture while aligning roadmaps with other teams.

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

Atlassian supports flexible work arrangements (office, home, or hybrid) and can hire in any country where it has a legal entity, to help staff balance family, personal goals, and priorities. The company is hiring a Technical Head of Engineering to lead work on Atlassian’s Agent Platform, blending people management with hands-on 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 products to enable agentic experiences that reason over work context and orchestrate tools. This role exists because Atlassian is investing heavily in AI-native and agentic experiences, requiring a leader who can translate broad AI strategy into practical platform capabilities and guide architecture, evaluation, quality, reliability, and tradeoffs. Key responsibilities include setting technical direction, leading and developing a team, writing production code, guiding decisions on ML systems and observability, establishing operating cadences, and fostering an inclusive, high-accountability culture.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, with virtual interviews and onboarding as part of their distributed-first approach. They’re seeking a Solutions Engineer to grow the ITSM Specialist team in the US, collaborating with enterprise sales and channel partners to understand customer needs and close large deals. The role involves designing, implementing, and optimizing ITSM solutions, mapping client pain points to Atlassian capabilities, and delivering compelling presentations, proofs of concepts, and strategic account plans. The team works cross-functionally to advance the customer journey, partners with sales management, and provides feedback to product management, all within a culture that values value selling and teamwork—the “play as a team” ethos. Atlassian serves over 250,000 customers worldwide (including NASA, IBM, HubSpot, Samsung, and Coca-Cola), emphasizes high earnings potential and growth in cloud and AI, and highlights that employees work with Atlassian, not for Atlassian.

Atlassian employees can choose where they work—office, home, or a hybrid—and the company hires people in any country where we have a legal entity. DX's Solutions Engineering Team at Atlassian is seeking a highly skilled Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com) by serving as the solution expert throughout the sales cycle and helping to close critical deals. Responsibilities include leading technical evaluations with Account Executives, driving proofs-of-concept and pilots, and ensuring a clear demonstration of platform value and technical feasibility. The role also involves technical discovery sessions, consultative questioning to understand client engineering workflows and goals, and designing tailored technical solutions for integrating APIs with complex client workflows, while acting as a trusted advisor on deployment methodologies and analytics. A feedback loop with prospects will be captured and shared with Product and Engineering to inform product enhancements and roadmap priorities.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity to support work-life balance and priorities. The DX Solutions Engineering Team is seeking a Pre-Sales Solutions Engineer to be a key driver in the DX product growth (getdx.com), serving as the solution expert throughout the sales cycle and dedicated to solving Commercial/Midmarket prospects’ most complex business problems to help close deals. Responsibilities include leading technical evaluations with Account Executives, driving all technical aspects of the sales cycle, and running POCs and pilots to clearly demonstrate value and feasibility. You will conduct technical discovery, strategy sessions, and consultative questioning to understand client needs, engineering workflows, and goals, then design tailored solutions that integrate APIs with complex client workflows. You will act as a trusted advisor on deployment methodologies and analytics integrations, and provide feedback from prospects to Product and Engineering to inform enhancements and roadmap priorities.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires in any country where it has a legal entity. DX's Solutions Engineering Team at Atlassian is seeking a Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com) and help close critical deals by solving complex business problems for Commercial/Midmarket prospects. The role involves leading technical evaluations with Account Executives, driving POCs and pilots to clearly demonstrate platform value and feasibility. It also includes discovery and strategy work: conducting technical discovery sessions, asking detailed questions about engineering processes and workflows, and designing tailored solutions that integrate the company’s APIs with client workflows. Additionally, the engineer serves as a trusted advisor on deployment methodologies and analytics integrations and provides feedback to Product and Engineering to inform product enhancements and roadmaps.

Atlassian offers flexible, distributed work arrangements with virtual hiring and onboarding across countries where it has a legal entity. Founded in Australia in 2002, Atlassian is a global leader in team collaboration serving 300,000+ customers including 80% of the Fortune 500, with a mission to unleash every team's potential through AI-enhanced tools like Rovo and the Teamwork Graph. The text describes a Principal Solutions Engineer for the LATAM market within the Enterprise Sales organization, tasked with helping large LATAM customers navigate complex problems using the AI-powered System of Work as the company grows enterprise revenue. Responsibilities include strategic partnerships with account teams and channel partners, Spanish-language engagements, AI/Platform advocacy, value discovery, and customized solution architecture from technical demonstrations to executive pitches. The role emphasizes teamwork, cross-functional influence, continuous innovation through programs like ShipIt and AI School, and opportunities for high earnings in cutting-edge cloud and AI products.

Atlassian offers flexible work arrangements (office, home, or hybrid) and hires globally in countries where it has a legal entity, with interviews and onboarding conducted virtually as part of its distributed-first approach. Founded in Australia in 2002, Atlassian is a global leader in team collaboration serving over 300,000 customers—including 80% of the Fortune 500—and its mission is to unleash the potential of every team, envisioning a future where humans and AI collaborate, evidenced by Rovo and the Teamwork Graph. The company is undergoing a transformation into an AI-led enterprise tech company and is recruiting top talent to help shape what’s next. The role of Principal Solutions Engineer for LATAM sits in the Enterprise Sales organization during this growth phase, with a goal to scale enterprise revenue from one-third to two-thirds of total revenue, by managing Fortune 500 and large enterprise accounts across LATAM and leading Spanish-language technical engagements and demonstrations. Responsibilities include strategic partnerships with account teams and channel partners, value discovery, solution architecture, cross-functional collaboration with Account Executives and Product Management, AI and Platform advocacy for Rovo and the Teamwork Graph, plus ongoing learning through rituals like ShipIt and AI School.

Atlassian offers flexible work locations (office, home, or hybrid) and hires globally, with virtual interviews and onboarding as part of being a distributed-first company. Founded in Australia in 2002, Atlassian is a global leader in team collaboration serving 300,000 customers including 80% of the Fortune 500, with a mission to unleash the potential of every team and a future focused on AI via Rovo and the Teamwork Graph. The company is undergoing an AI-led transformation and is seeking a Principal Solutions Engineer for LATAM to enable its largest customers with the AI-powered System of Work, helping grow the enterprise business in the region. Key responsibilities include partnering with account teams and channel partners, leading Spanish-language technical engagements and demonstrations, acting as an AI and Platform advocate for Rovo and the Teamwork Graph, driving value discovery, leading solution architecture across technical and executive stakeholders, and providing cross-functional feedback to product management. The role emphasizes continuous innovation and collaboration within the "Play, as a team" culture, participation in ShipIt and AI School, and strong earnings potential as the enterprise segment expands from one-third to two-thirds of revenue.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally in countries where it has a legal entity. They’re hiring a US-based Outbound Product Manager for Service Collection to turn the High Touch GTM plays into a repeatable product and competitive advantage, working across Product, Engineering, Sales, Marketing, and other functions to drive enterprise transformation with a focus on competitive displacement and trust/compliance. The role is described as a “mini GM,” not a quota-carrying seller, responsible for translating customer and competitive evidence into product action and building scalable operating mechanisms for execution. Key responsibilities include owning the operating system for priority plays, turning field signals into product strategy, leading cross-functional execution without formal authority, and creating durable, reusable playbooks and dashboards. Required and preferred qualifications emphasize extensive enterprise experience, the ability to turn ambiguous problems into actionable strategy, strong communication and influence, travel readiness, and attributes such as being evidence-led, commercially literate, technically credible, customer-grounded, low ego, and a system builder.

At Atlassian, you can work where you want and the company hires globally; the US-based Outbound Product Manager role for Service Collection aims to turn High Touch GTM plays into a repeatable product and commercial advantage, working across Product, Engineering, Sales, Solutions Engineering, Marketing, Customer Success, Finance, Legal, Security, and leadership, with a focus on transformation/compete and enterprise trust/compliance—and it is not a quota-carrying seller or a conventional product marketing role, but a mini general manager at the intersection of product strategy and the field. You will own the operating system for priority plays by translating GTM strategy into actionable plans, running a lightweight monthly cadence, and surfacing decisions for executive attention, while linking field signals to the broader Transformation & Compete motion. You will lead cross-functional execution without formal authority, aligning stakeholders across numerous functions, clarifying ownership, facilitating trade-offs, and surfacing risks early using decision records and clear action ownership. You will build durable mechanisms—playbooks, dashboards, evidence standards, and operating cadences—that scale beyond one person or account, defining measures of play health, product readiness, trust readiness, and field adoption, and continuously improving the model to avoid bottlenecks. Candidates should have substantial enterprise product/strategy experience, the ability to turn ambiguous problems into executable plans, a strong understanding of enterprise software buying and lifecycle, familiarity with security/compliance concepts, and excellent communication, with preferred background in service management, IT operations, migrations from incumbents, and experience working with distributed teams; the role also calls for attributes such as being evidence-led, commercially literate, technically credible, customer-focused, low ego/high ownership, and able to operate under pressure.

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

- Atlassian offers flexible work arrangements and global hiring, allowing employees to work from an office, home, or a mix to support personal priorities. - The company is undergoing a major shift from per-seat licensing to usage-based monetization across AI and platform meters, with the UBP team at the center of this transformation. - The Principal Product Manager for UBP will own a core pillar of this strategy, guiding it from vision through launch and iteration while balancing revenue with customer trust. - Responsibilities include defining the customer experience, driving cross-functional execution, making hard monetization vs. customer experience trade-offs, measuring key metrics, and influencing executive monetization decisions. - Requirements include 8+ years in product management with monetization experience, ability to ship in ambiguity, data-driven judgment, executive influence, and exceptional communication; nice-to-haves include experience with usage-based pricing, admin/governance surfaces, and AI monetization.

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

Atlassian offers flexible work options—employees can work in an office, from home, or a hybrid setup, and the company hires in any country where it has a legal entity. The post is for Global Sales Center of Excellence Lead, Teamwork Collection (Mid-Market), a global role responsible for driving sales performance, strategic execution, and revenue growth across Atlassian’s largest customer and seller segment. Reporting to the Global Head of TWC Sales, the role sits at the intersection of go-to-market strategy, cross-functional orchestration, and revenue delivery, and includes designing the global operating plan and building repeatable strategic sales plays. The ideal candidate is a senior, metrics-driven go-to-market leader who can translate complex platform and AI value propositions into clear, scalable sales execution, leading through influence across matrixed teams and accelerating pipeline and market expansion. The job emphasizes scaling field readiness and seller onboarding to equip core account executives and sales managers without specialist overlays, offering a chance to shape the future of teamwork at a global scale.

At Atlassian, you can work where you want—office, home, or a hybrid setup—and the company can hire people in any country where it has a legal entity. The posting is for Global Sales Center of Excellence Lead, Teamwork Collection (Mid-Market), the global owner driving sales performance, strategic execution, and revenue growth across Atlassian's largest customer and seller segment. Reporting to the Global Head of TWC Sales, the role sits at the intersection of go-to-market strategy, cross-functional orchestration, and revenue delivery, and involves designing the global operating plan, creating repeatable strategic sales plays, and partnering with Sales Leadership, SDR, Channel, Demand Gen, Product, and Marketing to maximize pipeline, accelerate deal velocity, and capture market expansion opportunities. They seek a senior, metrics-driven GTM leader who can lead through influence in a matrixed organization, translate complex platform and AI value propositions into clear, scalable sales execution, and scale field readiness and seller onboarding so core account executives and sales managers can position modern collaboration solutions without overlays. If you have a proven track record of orchestrating enterprise SaaS sales motions, rigorous inspection rhythms, and turning strategy into measurable field success, this role offers an exciting opportunity to shape the future of teamwork on a global scale.

Atlassian offers flexible work options, letting employees choose office, home, or a hybrid, and hires in any country where it has a legal entity. The role is Global Sales Center of Excellence Lead for the Teamwork Collection in Mid-Market, serving as the global owner of sales performance, strategy, and revenue growth for Atlassian’s largest customer and seller segment. Reporting to the Global Head of TWC Sales, the role sits at the intersection of go-to-market strategy, cross-functional orchestration, and revenue delivery, and will design the global operating plan, build repeatable sales plays, and partner with Sales Leadership, SDR, Channel, Demand Generation, Product, and Marketing to maximize pipeline, accelerate deal velocity, and pursue market expansion. The ideal candidate is a senior, metrics-driven go-to-market leader who thrives in dynamic environments, leads through influence in a matrix, and can translate complex platform and AI value propositions into clear, scalable sales execution, while scaling field readiness and onboarding to equip core AEs and sales managers to position modern collaboration solutions without overlays. The role offers an opportunity to shape the future of teamwork globally for someone with a proven track record of orchestrating enterprise SaaS sales motions, establishing rigorous inspection rhythms, and turning strategy into measurable field success.

Atlassians can work in an office, from home, or a combination of the two, and Atlassian hires in any country where it has a legal entity. The People team uses an analytical, data-informed approach to tackle problems, build programs, and help Atlassians constantly improve how they work, partnering with business and technology teams to ensure employees innovate at their peak, lead teams, and grow their careers. The Employee Relations team provides expert support, guidance, and coaching to navigate and resolve challenging employee issues, focusing on proactive solutions, healthy workplace dynamics, and partnering closely with People Leaders and HRBPs. In this role, you’ll conduct end-to-end workplace investigations into grievances, policy violations, harassment, discrimination, and retaliation, providing objective analysis, documentation, and actionable recommendations. You’ll also coach and advise managers on performance management, conduct risk reviews for involuntary separations, facilitate conflict resolution, serve as a subject matter expert on local employment laws and Atlassian policies, leverage ER data to identify root causes and inform improvements, and train leaders on effective performance management and compliance practices.

Atlassian supports flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. It is investing in its largest Public Sector customers and partners with 82% of the Fortune 500, including US Space Force, DoD, and NASA. The Account Management team aims to deepen customer relationships, drive retention, and enable value realization across Atlassian's solutions for strategic FSI, DoD, and IC customers. The role drives revenue growth by ensuring high retention, proactively engaging expansion opportunities, and leading upsell, upgrade, and cross-sell efforts in collaboration with the Global Sales Team for total book of business growth. Key responsibilities include developing senior/executive relationships, managing renewals and expansions, identifying growth opportunities through discovery, increasing product awareness, overseeing end-to-end sales cycles for cross-sell and up-sell, collaborating on account planning, staying current on product updates, and ensuring forecasting and documentation accuracy.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally wherever they have a legal entity. The company is hiring a Technical Head of Engineering to lead the Agent Platform, a role that blends people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences, with the option to act as an IC or a people manager. The Agent Platform Team builds foundational, secure, and scalable capabilities for AI agents across Atlassian products like Rovo, Teamwork Graph, and Jira agent workflows, enabling agentic experiences that reason over work context and orchestrate across tools. Atlassian is investing in AI-native experiences and needs a leader who can translate broad AI strategy into practical platform capabilities, providing direction, building talent, and creating an execution rhythm for fast-moving AI platform work. Key responsibilities include setting technical direction with stakeholders, leading and developing engineers (hiring, performance management, career growth), writing production code, guiding decisions on ML systems and observability, establishing a strong operating cadence, and fostering an inclusive, high-accountability culture that balances speed with security, privacy, cost efficiency, and reliability.

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

Atlassian offers flexible work locations (office, home, or hybrid) and hires anywhere with a legal entity to support employees’ priorities. They are hiring a Technical Head of Engineering to lead the Agent Platform, a role that blends people management with deep technical leadership in applied ML, agentic systems, platform engineering, and production-quality AI experiences, with the option to write production code themselves. The Agent Platform Team builds foundational capabilities to make AI agents useful, reliable, secure, and scalable, and its work connects to Rovo, Teamwork Graph, Jira agent workflows, and other Atlassian products. The role is essential as Atlassian invests in AI-native experiences and requires a leader who can set direction, build talent, and translate broad AI strategy into practical platform capabilities with ML and systems depth. Key responsibilities include setting technical direction, leading a team, writing production code, guiding decisions on ML systems and observability, establishing operating cadence, balancing speed with security, privacy, and cost, and fostering an inclusive, high-accountability culture.

Atlassian offers flexible work arrangements—office, home, or a mix—and hires in any country where they have a legal entity. The DX Solutions Engineering Team is seeking a Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com). The role will serve as the solution expert throughout the sales cycle, helping to solve prospects' complex business problems and close deals. Responsibilities include leading technical evaluations with Account Executives, conducting discovery and strategy sessions, asking detailed questions, designing tailored API integration solutions, and acting as a trusted advisor on deployment and analytics. The engineer will also capture and relay technical feedback to Product and Engineering teams to influence product enhancements and roadmap priorities.

Atlassian offers flexible work options, allowing employees to work in an office, from home, or a hybrid arrangement, and hires in any country where the company has a legal entity to support employees' family and personal priorities. The DX Solutions Engineering Team at Atlassian is seeking a highly skilled Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com) and help close critical deals by solving complex business problems for Commercial and Midmarket prospects. The role will serve as the solution expert throughout the sales cycle, partnering with Account Executives to lead all technical aspects, including Proof-of-Concepts and Pilots, and to demonstrate platform value and feasibility. Responsibilities include leading technical discovery, understanding client needs and workflows, asking detailed questions about engineering processes and tooling, and designing tailored solutions to integrate the company's APIs with client workflows to meet evaluation criteria. Additional duties include acting as a trusted advisor on deployment methodologies and analytics integrations, and providing a feedback loop to Product and Engineering teams to influence product enhancements and roadmaps.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country where it has a legal entity. The DX Solutions Engineering Team is seeking a highly skilled Pre-Sales Solutions Engineer to drive growth of the DX product (getdx.com) and help close critical deals. The role serves as the solution expert throughout the sales cycle, partnering with Account Executives to lead all technical aspects, including POCs and pilots, and to demonstrate platform value and feasibility. Responsibilities include leading technical discovery sessions, asking consultative questions to uncover client engineering needs, designing tailored API integration solutions, and acting as a trusted advisor on deployment methodologies and analytics integrations. A feedback loop captures prospect input to inform product enhancements and roadmap priorities in collaboration with Product and Engineering teams.

Atlassian offers flexible, distributed-first work with virtual interviews and onboarding, hiring in any country where it has a legal entity. Founded in 2002 in Australia, Atlassian is a global leader in team collaboration serving over 300,000 customers, including 80% of the Fortune 500, with a mission to unleash the potential of every team. The company is transforming into an AI-led enterprise, highlighting AI capabilities like Rovo and the Teamwork Graph, and aims to scale its Enterprise Sales to grow revenue in LATAM. As a Principal Solutions Engineer for LATAM, you would partner with account teams and channel partners to manage Fortune 500 and large enterprise accounts, lead Spanish-language engagements, and demonstrate how Atlassian's AI and System of Work can transform customer workflows. You would drive value discovery, lead solution architecture across technical and executive stakeholders, influence product strategy with regional insights, and participate in continuous innovation through programs like ShipIt and AI School.

Atlassian offers flexible work locations (office, home, or hybrid) and can hire globally, with interviews and onboarding conducted virtually as part of its distributed-first approach. Founded in Australia in 2002, Atlassian serves over 300,000 customers, including 80% of the Fortune 500, and aims to unleash the potential of every team while advancing an AI-enabled future with Rovo and the Teamwork Graph. The company is undergoing an AI-led transformation and seeks top talent to drive growth in its Enterprise Sales organization, aiming to scale enterprise revenue from one-third to two-thirds of total revenue. The Principal Solutions Engineer for LATAM will partner with account teams and channel partners to manage large LATAM accounts, lead Spanish-language technical engagements, and showcase Atlassian’s AI and Platform capabilities (Rovo and the Teamwork Graph) to illustrate how AI can transform workflows. Responsibilities include value discovery, customized demonstrations across technical and executive audiences, cross-functional collaboration with Account Executives and Product Management, and ongoing professional development through programs like ShipIt and AI School.

Atlassian offers flexible work locations (office, home, or hybrid) with virtual interviews and onboarding as part of its distributed-first approach. Founded in Australia in 2002, Atlassian is a global leader in team collaboration serving 300,000+ customers (including 80% of the Fortune 500) and pursuing a future where humans and AI collaborate, via Rovo and the Teamwork Graph, as it becomes an AI-led enterprise. In the Enterprise Sales organization, you would join as a Principal Solutions Engineer for the LATAM market to help major customers navigate complex problems using Atlassian’s AI-powered System of Work, as the company aims to grow enterprise revenue from one-third to two-thirds. The role involves strategic partnerships with account teams and channel partners, Spanish-language technical engagements and value-based demos, and mapping customer pain points to Atlassian’s platform, all while embodying the value “Play, as a team.” You will advocate Atlassian’s AI capabilities (Rovo) and the Teamwork Graph, lead discovery and tailored demonstrations, influence cross-functional teams including Product Management and Account Executives, and stay at the cutting edge by participating in ShipIt and AI School.

Atlassian offers flexible work locations (office, home, or a mix) and hires in any country where they have a legal entity. They’re seeking a senior full-stack engineer for the DX team, comfortable with Ruby on Rails, raw SQL, React, and TailwindCSS, to work end-to-end on features. The role involves building scalable backend-heavy features, robust REST APIs, and customer-facing components while ensuring code quality and maintainability through reviews, tests, documentation, security, and performance. You’ll collaborate with engineers, designers, and product managers, participate in Agile practices, and ensure visibility, error reporting, and monitoring of high-performing backend services, including writing performant SQL for complex queries. You’ll own projects end-to-end from architecture to rollout, and contribute to improving engineering practices, tooling, data correctness, reporting, and reliability.

Atlassian supports flexible work locations and hires in any country with a legal entity, with more details available at their distributed work page. The Grad++ program offers hands-on training, mentorship, professional growth opportunities, and strong social connections to help students start a successful career there. The role is preferably co-located in Seattle, WA, or San Francisco, CA. Atlassian’s mission is to unleash the potential of every team, with AI/ML transforming how teams plan, track, and deliver work, and they seek ML engineers to advance this mission across their product portfolio. The Machine Learning Research role focuses on cutting-edge AI technologies (LLMs, Generative AI, Search, Conversational Agents, and AI Optimization), involving designing architectures, conducting experiments, and applying AI/ML to product problems to improve Atlassian products and contribute to Atlassian Intelligence features.

- Atlassian supports flexible work options—office, remote, or a mix—and hires globally wherever it has a legal entity, using a platform that connects work, teams, and data to power next-generation AI tools. - As enterprise systems become more AI-driven, having a rich, connected platform layer is essential to making AI truly useful 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) and manage the end-to-end adoption journey. - The role entails defining and executing the adoption strategy, including positioning, GTM, enablement, and building credible narratives for both technical audiences (engineers, architects, developers) and business decision-makers. - It also requires driving full-funnel engagement and activation programs, empowering cross-functional teams with the tools and collateral needed to drive field adoption, measuring impact, iterating on adoption plays, and evangelizing the platform in external forums and events.

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

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity, enabling staff to support family and personal priorities. Atlassian’s platform connects work, teams, and data across the enterprise to power the next generation of intelligent tools, automation, and AI, and a rich platform layer is critical to making AI useful in complex organizational environments. They are looking for a Senior Product Marketing Manager to lead adoption for core platform data and context capabilities (Teamwork Graph), blending foundational product marketing with a growth mindset to drive ongoing activation and engagement. The role involves defining adoption strategy, owning positioning and GTM motions, building narratives for diverse audiences, and driving full-funnel engagement from documentation to webinars and in-product nudges. It also requires empowering cross-functional teams, measuring impact with adoption signals and feedback, iterating programs, and evangelizing the platform in external forums and community channels.

Atlassians can choose where they work—office, from home, or a combination—to support family and personal goals. We can hire people in any country where we have a legal entity. Atlassian’s platform connects work, teams, and data across the enterprise to power the next generation of intelligent tools, automation, and AI. As enterprise systems become more AI-driven, having a rich, connected platform layer is critical to making AI truly useful in complex organizational environments. The role centers on defining and executing the adoption strategy for Teamwork Graph, building narratives for technical and business audiences, driving full-funnel engagement, enabling cross-functional teams, measuring impact, and evangelizing the platform in external forums.

- Atlassian offers flexible work options—office, remote, or hybrid—and can hire in any country where it has a legal entity. - Their platform connects work, teams, and data to power intelligent tools, automation, and AI, with a rich platform layer essential for AI to be truly useful in complex organizations. - They’re seeking a Senior Product Marketing Manager to lead adoption of the core platform data and context capabilities (Teamwork Graph) and manage the end-to-end adoption journey. - The role involves defining the adoption strategy, building narratives for both technical and business audiences, driving full-funnel engagement, and enabling cross-functional teams. - It also requires measuring impact with adoption signals and feedback, iterating on programs, and evangelizing the platform through external forums, customer briefings, webinars, and communities.

- Atlassian offers flexible work options (office, home, or hybrid) and can hire people in any country where it has a legal entity. - Its platform connects work, teams, and data to power intelligent tools, automation, and AI, and a rich platform layer is critical as enterprise systems become more AI-driven. - Atlassian is seeking a Senior Product Marketing Manager to lead adoption for the Teamwork Graph core platform data and context capabilities, bridging technical and business audiences. - The role involves defining and executing the adoption strategy, including positioning, go-to-market motions, and enablement to onboard, activate, and deepen platform usage. - It also includes driving full-funnel engagement, enabling cross-functional teams with the necessary tools and collateral, measuring impact through adoption signals, and evangelizing the platform in external forums.

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

At Atlassian, employees can work anywhere and hiring is global with virtual interviews and onboarding as part of the distributed-first approach. The Agentic AI Integrations team leads AI integrations such as the Rovo MCP Server and agent-to-agent integrations, leveraging Claude Skills and ChatGPT/Claude Apps to advance Atlassian's AI capabilities. The role emphasizes working with bleeding-edge AI technologies, moving from prototyping to scalable enterprise-grade AI products used by thousands of developers and enterprise users, with a focus on ML performance, latency, token efficiency, tool discovery, and semantic retrieval. Responsibilities include designing and evolving MCP servers, tools, and agent-facing APIs with concise schemas and reliable contracts, building accessible React/TypeScript frontends, and integrating GraphQL/REST, SDKs, streaming, and real-time data, all while maintaining observability and reliability. Additionally, it involves defining AI/ML quality programs, automated CI/CD evaluations to detect regressions, and enforcing enterprise security measures such as OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and safe confirmation flows for high-impact actions.

Atlassian supports flexible work locations (office, home, or a hybrid) and hires globally with virtual interviews as part of its distributed-first approach. The Agentic AI Integrations team will build AI integrations across the Atlassian ecosystem, including the Rovo MCP Server and agent-to-agent workflows, leveraging Claude Skills, ChatGPT/Claude Apps, and similar AI capabilities. The role focuses on bleeding-edge AI technologies, from prototyping new ideas to delivering scalable enterprise-grade AI products used by thousands of developers and enterprises. Responsibilities cover designing, building, and operating MCP servers and agent-facing APIs, frontend experiences in React/TypeScript, and integrating GraphQL/REST APIs, with emphasis on latency, reliability, tool discovery, context optimization, observability, and semantic retrieval. You’ll also define AI/ML quality programs, automate evaluations in CI/CD, and ensure security and safety through measures like OAuth 2.1, tenant isolation, audit logging, prompt-injection defenses, and safe handling for high-impact actions.

DX is a Salt Lake City–based, fast-growing SaaS company that helps engineering leaders build high-performing teams and collects millions of data points daily to illuminate developer productivity at companies like Pinterest, GitHub, BNY, and Xero. DX has scaled profitably and tripled annual recurring revenue in recent years, and it recently closed an acquisition by Atlassian that will expand resources, accelerate growth and R&D, and deliver greater impact to customers. At DX, mastery is the core value: performance is judged by individual skill and craft, and leaders who excel will be unduly rewarded even as external factors influence outcomes. In this role, you’ll coach a team of Enterprise Account Executives to consistently hit and exceed revenue targets, balance being a “player-coach” with high-stakes demos and negotiations, institutionalize pipeline discipline and forecasting, analyze performance data to close bottlenecks, drive GTM improvements from customer feedback, foster continuous learning, and recruit and onboard top talent. Ideal candidates are team-first, systems thinkers who lead by example, deliver radical candor with empathy, thrive in ambiguity, and balance data-informed decision-making with the human side of management; Atlassian’s pay scales vary by geographic zone (Zone A, B, and C) with base pay ranges of Zone A: $246,864–$322,294, Zone B: $222,177–$290,065, Zone C: $204,897–$267,504, and further benefits, bonuses, commissions, and equity may apply, with more details at go.atlassian.com/payzones.

- Atlassian supports flexible work arrangements—office, home, or hybrid—and hires in any country with a legal entity, with roles that can be remote or hybrid from the West Coast US or Australia under Team Anywhere. - Atlassian is reimagining teamwork with AI at its core via the Teamwork Collection (TWC), an all-in-one suite that bundles Jira, Confluence, Loom, and Rovo into a single AI-powered platform to reduce silos and tool sprawl. - The company is seeking a Senior Principal, AI Product Management to define the end-to-end AI strategy for core products and deliver AI-driven experiences that delight users globally. - The role involves owning the vision and roadmap, leading cross-functional teams, accelerating AI adoption, aligning with central platforms, measuring impact, championing customers, mentoring, and communicating with stakeholders. - Requirements include 10+ years in product management with a focus on AI/ML, a proven ability to lead diverse teams, strong AI/ML understanding, excellent communication, deep UX sense, and the ability to thrive in fast-paced, ambiguous environments.

Atlassian offers flexible work options, letting employees work in an office, from home, or in a hybrid arrangement to help with family and personal goals. The company hires people in any country where it has a legal entity. The role involves driving large, complex projects autonomously from technical design to launch, tackling architecture challenges and applying established standards to new projects. It also includes leading code reviews and documentation, handling high-risk bug fixes, and serving as a model for thorough reviews while partnering with engineering teams on cross-project, company-wide initiatives. The position expects transferring current language knowledge to excel as a Java developer and mentoring junior team members.

- Atlassian supports flexible work arrangements (office, home, or hybrid) and can hire in any country where it has a legal entity. - DX, a Salt Lake City–based fast-growing SaaS company that helps engineering leaders build high-performing teams, collects millions of data points daily to power productivity insights and was recently acquired by Atlassian. - The role is hybrid and currently requires four days per week onsite at the Salt Lake City office during DX’s integration into Atlassian. - At DX, the core value is mastery and high performance, with those who excel being highly rewarded and a focus on doing work at the highest level despite external factors. - You will prospect outbound and inbound leads, build relationships and meetings with prospective businesses, deliver an exceptional experience to software engineering leaders, learn personalized outreach and social selling, partner with account executives and marketing, and pursue accelerated career growth and measurable impact.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally where it has a legal entity, with this role being hybrid and four days onsite in Salt Lake City as DX integrates. - DX, headquartered in Salt Lake City, is a fast-growing SaaS company that helps engineering leaders build high-performing teams, collects millions of data points on developer productivity, and counts companies like Pinterest and GitHub among its clients; it was recently acquired by Atlassian. - By joining Atlassian, DX’s resources, growth, and R&D will be accelerated to deliver greater impact to customers during the integration. - DX’s culture emphasizes mastery and becoming the best at your craft, with performance judged by individual mastery and rewarded accordingly, acknowledging that outcomes are influenced by factors beyond control. - The role involves prospecting outbound and inbound leads, building relationships, delivering an exceptional experience to software engineering leaders, learning personalized outreach and social selling, and collaborating with account executives and marketing, with clear opportunities for career acceleration and ownership.

Atlassian offers flexible work locations (office, home, or a mix) and hires globally within its legal entities, with virtual interviews and onboarding as part of its distributed-first approach. They’re seeking a Sr. Solutions Engineer for the Mid-Market team who will be a solution expert throughout the sales cycle, solving enterprise customers’ toughest business problems with Atlassian products and helping close deals. The role belongs to the Solutions Engineering Core Team, which emphasizes value selling and a collaborative “play as a team” culture where employees work with Atlassian, not for Atlassian, and pursue high earnings potential in enterprise opportunities. Responsibilities include customer discovery, mapping business problems to Atlassian solutions, identifying cross-product opportunities, leading compelling value-based demonstrations, and guiding customers’ technical needs to secure buy-in. The role also requires forging strong partnerships with account executives, maintaining pipeline dialogue, collecting product feedback and competitive intelligence for internal advocacy, and continuously learning to refine pre-sales and product knowledge.

Atlassian offers flexible, distributed-first work options with global hiring in any country where they have a legal entity, and interviews and onboarding are conducted virtually. They’re hiring a Sr. Solutions Engineer for Mid-Market to be a solution expert in the sales cycle, solving enterprise customers’ hardest problems with Atlassian products and helping close deals. The team emphasizes value selling and collaboration—“play as a team”—with employees working with Atlassian, not for Atlassian, and offers high earnings potential amid a cloud and AI-focused enterprise opportunity. Responsibilities include partnering with sales and account teams on Mid-Market accounts, conducting customer discovery, identifying cross-product opportunities, and delivering compelling value-based demonstrations while guiding customers’ technical needs. They also gather product feedback and competitive intelligence, advocate internally to product management, and continuously learn and refine pre-sales, product, and sales processes.

Atlassian supports flexible work locations (office, home, or hybrid) and hires globally for legal entities, with virtual interviews and onboarding as part of a distributed-first approach. They’re seeking a Sr. Solutions Engineer for the Mid-Market business who will be a solution expert in the sales cycle, solve enterprise customers’ hardest business problems with Atlassian products, and help close enterprise deals. The future team focuses on value selling, operates under a team-centered culture with “play as a team,” and emphasizes earning potential and AI/cloud opportunities, with employees working with Atlassian, not for Atlassian. Responsibilities include partnering with direct sales, partners, and account teams on Mid-Market accounts; conducting customer discovery; mapping business problems to Atlassian products; leading value-based demonstrations; and guiding customer technical needs to gain buy-in. The role also involves documenting product feedback and competitive intelligence, advocating for internal development, forging strong partnerships with account executives, and continually learning to refine pre-sales and sales processes and Atlassian offerings.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The role sits in Networking, building shared services to route and protect traffic across Atlassian’s cloud products, covering API gateways, rate limiting, service connectivity, and real-time messaging. The Senior Software Engineer (P50) will design, build, and operate distributed platform services, taking projects from ambiguous problems through design, rollout, and production ownership while collaborating with engineers, architects, and internal customers. Responsibilities include delivering reliable, high-throughput, low-latency backend services; evolving networking services across AWS, GCP, and Kubernetes; implementing traffic-control and quotas; owning end-to-end projects and contributing to on-call incident response and ongoing improvements. Qualifications emphasize senior backend experience (Java/Kotlin/Go/Python), strong networking and distributed systems knowledge, observability and testing/CD practices, mentoring, and optional experience with API/traffic management, cloud infrastructure, Docker/Kubernetes, plus the goal of delivering measurable reliability and efficiency improvements within the first 6–12 months.

Atlassian offers flexible work locations and hires globally in any country where it has a legal entity to support personal priorities. The Networking team builds and operates shared services that route and protect traffic across Atlassian’s cloud infrastructure, covering API gateways, rate limiting, service connectivity, and real-time messaging to deliver reliable experiences at scale. As a P50 Senior Software Engineer, you will design, build, and operate distributed platform services, taking projects from ambiguous problems through design, implementation, rollout, and production ownership while collaborating with engineers, architects, and internal customers. You will own end-to-end projects to improve reliability, performance, scalability, and operational efficiency; evolve networking capabilities across AWS, GCP, and Kubernetes; implement traffic-control and observability; participate in on-call duties; and mentor other engineers. Requirements include independent, production-scale backend delivery experience and proficiency in Java, Kotlin, Go, or Python, plus a solid understanding of networking, distributed systems, HTTP/REST, debugging production issues, and CI/CD; desirable skills include API/traffic management, cloud infrastructure, containers, and demonstrated outcomes in 6–12 months like improved reliability or reduced latency.

Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity to support employees' personal priorities. The Networking team builds and operates shared services that route and protect traffic across Atlassian’s cloud infrastructure, covering API gateways, rate limiting, service connectivity, and real-time messaging to deliver reliable, scalable experiences. As a P50 Senior Software Engineer, you’ll design, build, and own distributed platform services, guiding projects from ambiguous problems through design, implementation, rollout, and production ownership while collaborating with engineers, architects, and internal customers. You’ll build reliable, high-throughput, low-latency backend services, evolve networking services across AWS, GCP and Kubernetes, enable safe migrations, implement traffic-control and quotas, participate in on-call incident response and knowledge sharing, and mentor others while driving reusable platform capabilities with partner teams. The role requires senior experience delivering and operating backend services at scale with Java/Kotlin/Go/Python, understanding of networking, distributed systems, HTTP/REST, observability and CI/CD, plus cloud and container experience; the first 6–12 months aim to contribute to operations, own a platform capability or migration, deliver measurable improvements, and mentor engineers.

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

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

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

Atlassian supports flexible work arrangements and hires in any country where it has a legal entity. They’re hiring a Lead Product Designer to join the Rovo & AI team, working on Rovo and AI experiences across Atlassian apps like Jira, Confluence, and Bitbucket, in collaboration with teams across Atlassian. The team is primarily based in Australia and the west coast of North America. Responsibilities include leading the strategic vision for AI experiences, applying systems thinking, delivering cohesive visual and interaction design, leading reviews and coaching designers, and aligning design outcomes with customer value while partnering with leadership and cross-functional teams. Qualifications require 10+ years of enterprise product design experience, end-to-end UX design, experience building design systems and design programs, storytelling, facilitation, and the ability to measure success and improve processes.

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

Atlassian offers flexible work options (office, remote, or hybrid) and can hire people in any country where it has a legal entity. Atlassian is seeking a Principal Fullstack Software Engineer focused on delivering creative improvements for engineering teams. In this role, you will understand the user journey and collaborate with product, design, and engineering to influence product strategy, while guiding the technical direction of large-scale features. You will evaluate trade-offs between correctness, robustness, performance, and customer impact; debug inefficiencies; ship well-tested, secure, reliable, and maintainable code; contribute to code reviews and bug fixes with security and reliability in mind; and mentor teammates. Additional responsibilities include improving the growth engineering team, identifying blockers to software engineering excellence (design principles, unit testing, performance engineering, security/privacy best practices).

Atlassian supports flexible, distributed work and hires globally, but this particular role is fully remote and requires you to be located in the United States. The Growth Platform team builds foundational systems powering engagement, messaging, and personalized user experiences across Jira, Confluence, Trello, Loom, and beyond. As Principal Backend Engineer, you will be the senior technical authority for client-side architecture across messaging and personalization engines, guiding architectural direction across multiple squads and establishing patterns for resilient, fast, accessible, and scalable user-facing experiences. You will define long-term technical roadmaps, design high-throughput, low-latency distributed services and data pipelines—including microservices, relational/non-relational data models, event streams like Kafka, and APIs such as REST, GraphQL, and gRPC. You will influence cross-organizations, mentor engineers, lead architecture reviews, champion best practices, and drive operational excellence with telemetry, observability, testing, chaos engineering, and continuous deployment.

Atlassian offers flexible work options—office, home, or hybrid—and hires globally wherever there is a legal entity, giving employees control to balance family and personal goals. The role’s key responsibilities include System Integration & API Engineering: designing, building, and maintaining robust integrations, middleware, and webhooks linking third-party SaaS tools with internal systems. It also covers Tool Optimization & Rationalization: collaborating with SAM/HAM, DevInfra, and procurement to evaluate software requests, track usage, and streamline the enterprise SaaS footprint. Automation & Workflow Engineering and Technical Support involve writing scripts and data pipelines to automate provisioning and data syncs, serving as the primary technical contact for complex app integrations, and supporting developer AI integrations (OpenAI, Anthropic, Cursor APIs) and enterprise usage tracking frameworks. Additional duties include Vendor & SLA Oversight, Budgeting & Licensing, and Cross-Functional Alignment to translate business needs into actionable technical requirements for IT and development teams.

At Atlassian, employees can work in an office, from home, or in a hybrid arrangement, giving them flexibility to support family and personal goals. The company hires in any country where it has a legal entity. The role focuses on system integration and API engineering, designing, building, and maintaining robust integrations, middleware, and webhooks that connect third-party SaaS tools with internal systems. Responsibilities include tool optimization and rationalization, automation and workflow engineering, technical support and troubleshooting, vendor and SLA oversight, budgeting and licensing, and cross-functional alignment to translate business requests into actionable IT requirements. Experience managing or deploying developer AI integrations and enterprise usage tracking frameworks is valued, along with the ability to translate business needs into technical requirements for IT and development teams.

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

Atlassian offers flexible work locations (office, home, or hybrid), hires in any country where it has a legal entity, and conducts interviews and onboarding virtually as part of its distributed-first approach. They are hiring a Sr. Solutions Engineer for the Mid-Market business who will be a solution expert in the sales cycle, solve enterprise customers’ toughest business problems with Atlassian products, and help close enterprise deals. The team operates with a value-selling mindset and a “play as a team” ethos, emphasizing collaboration and noting that employees work with Atlassian, not for Atlassian, with strong earnings potential in cloud and AI opportunities. The role involves partnering with direct sales, partners, and larger account teams on Mid-Market Accounts, tracking customer profiles, business problems, roadmaps, and solution success within the account territory. Responsibilities include customer discovery, identifying cross-product opportunities, serving as a pre-sales product expert, leading value-based demonstrations, guiding customers’ technical needs, building partnerships with account executives, and continually learning to improve pre-sales knowledge and processes.

Atlassian offers flexible, distributed-first work arrangements with virtual interviews and onboarding, and hires people in any country where it has a legal entity. The company is seeking a Sr. Solutions Engineer for Mid-Market who is passionate about being a solutions expert in the sales cycle, solving enterprise customers’ hardest problems, and helping close enterprise deals, with a focus on value selling and teamwork. The role sits on Atlassian’s Solutions Engineering Core Team, partnering with direct sales, partners, and larger account teams on Mid-Market Accounts to conduct customer discovery, map problems to Atlassian products, and identify cross-product opportunities. You’ll lead compelling, value-based demonstrations, articulate the full portfolio’s value, guide customers’ technical needs, and build strong partnerships with account executives to discuss pipeline and opportunities. You’ll also document product feedback and competitive intelligence, advocate for internal development, and continuously learn to refine your pre-sales knowledge, solutions, and sales processes.

Atlassian offers flexible, distributed-first work arrangements (office, home, or hybrid) and conducts virtual interviews and onboarding for hires in any country where they have a legal entity. They are hiring a Senior Solutions Engineer for the Mid‑Market business who will be a solution expert in the sales cycle, solving enterprise customers’ hardest problems and helping close deals. The role sits in the Solutions Engineering Core Team, which focuses on value selling and partnering with direct sales, partners, and larger account teams to map customer needs to Atlassian’s product portfolio and opportunities. Responsibilities include customer discovery, product demonstrations and storytelling across stakeholders, identifying cross‑product opportunities, understanding technical needs, gaining buy‑in, and feeding feedback to product management. The position offers high earning potential with a focus on cloud and AI, plus ongoing learning and growth within Atlassian’s collaborative, team‑oriented culture.

- Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity, enabling employees to balance family, personal goals, and priorities. - The Manager of the Commercial Solutions Engineering team for DX (getdx.com) will lead a high-performing SE team to grow the DX product in mid-market and commercial sectors and will act as a bridge between Sales, Customer Success, Product, and Engineering leadership. - Responsibilities include recruiting, onboarding, and mentoring the team; scaling pre-sales strategy; coaching SEs through fast-moving sales cycles; and driving deal strategy, POC oversight, and mapping DX capabilities to business outcomes. - You will standardize POC playbooks, create demo environments, optimize pre-sales workflows, manage SE deployment across a high-velocity pipeline, and advocate for customer needs in leadership meetings to influence the roadmap. - Qualifications include 5+ years in Pre-Sales/Solutions Engineering with at least 2+ years in leadership, a proven mid-market/commercial sales track record, experience building scalable technical sales processes, deep engineering context (SDLC, DORA, SPACE), familiarity with APIs, SQL, and Git, and strong stakeholder management and conflict-resolution skills.

Atlassian offers flexible work locations—office, home, or a hybrid model—and hires in any country where the company has a legal entity. 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 tools and systems where software work happens. The Senior Product Manager will lead DX’s data platform and connector portfolio; the data platform is the foundation beneath every DX insight, connects to customer tools, ingests and organizes data, protects its integrity, and makes it available to the rest of the DX product; this is a deeply technical role where you don’t need to be an engineer but must reason credibly about connectors, APIs, data models, database design, data lakes, reliability, enterprise data requirements, and data privacy/security. You will set the vision, strategy, roadmap, and measurable outcomes for Data Cloud and the connector ecosystem; prioritize investments based on customer demand, market context, strategic leverage, and downstream needs; improve the end-to-end connector experience, including setup, authentication, configuration, data mapping, sync health, and troubleshooting; and define product requirements for data quality, freshness, completeness, reliability, and transparency. You will partner with Engineering on the evolution of DX’s unified data layer, own the demo environment’s reliability, develop a deep understanding of enterprise data environments and security, shape ambiguous opportunities with lightweight specs and prototypes, monitor platform performance, and collaborate with customer-facing and go-to-market teams on connector discovery, pilots, launches, documentation, and positioning.

Atlassian offers flexible work locations—office, home, or a hybrid—so employees can balance family, personal goals, and priorities, and hires people in any country where there is a legal entity. The role involves designing, developing, and training cutting-edge ML models (including NER, personalization, prediction, and LLM fine-tuning) to power Atlassian products. Responsibilities include shipping production-ready ML systems by collaborating with engineering, product, and analytics teams to integrate AI features into Atlassian services, performing model optimization, and writing production-quality code. It also entails experimentation and model evaluation to ensure performance, scalability, and reliability of deployed models, and defining and monitoring product metrics to guide improvements and measure impact. The role contributes to Atlassian's next-gen AI initiatives, including foundational model development and advancing ML techniques, with findings communicated to senior leaders through clear presentations; the schedule is 40 hours per week, Mon-Fri, 8:30 a.m.–5:30 p.m., and the salary is $276,200 per year.

Atlassian supports flexible work locations, allowing office, remote, or hybrid arrangements, with potential hires in any country where they have a legal entity. The role is fully remote but requires the candidate to be located in US Pacific or Mountain time zones. They are seeking a Senior Fullstack Software Engineer focused on delivering creative improvements for engineering teams. Responsibilities include guiding technical direction for large-scale features, evaluating trade-offs, collaborating to influence product strategy, shipping secure, reliable code, and addressing production issues. They also expect contribution to code reviews, documentation, complex bug fixes with a focus on security and performance, and mentoring teammates.

Atlassian offers flexible work arrangements, allowing employees to work in an office, from home, or a mix, giving them more control over family, personal goals, and other priorities. The company can hire people in any country where it has a legal entity. Roles involve contributing to code reviews, documentation, and complex debugging with a focus on security, performance, and reliability, and guiding the technical direction and implementation of large-scale product features while evaluating trade-offs among correctness, robustness, performance, and customer impact. There is close collaboration with product, design, and engineering teams to influence product strategy while shipping well-tested, secure, reliable, and maintainable code, addressing real-world usage and production issues, and working with designers to build dynamic user experiences and support the full engineering stack within a complex system. The position is 40 hours per week, Monday–Friday, 8:30 a.m. to 5:30 p.m., with a salary range of $221,187 to $235,000 per year.

At Atlassian, we’re hiring a Senior Engineering Manager, GTM Systems to lead a global SalesTech engineering team responsible for architecting, building, and scaling the Go-To-Market engine, including the core Salesforce ecosystem (Sales Cloud, Experience Cloud) and other tools and data integrations across Commerce, Marketing, and Billing. You will lead a globally distributed team of full-stack engineers, Salesforce developers, and integration specialists, mentor them, promote technical excellence, and manage sprint planning, capacity, and resource allocation across foundational programs, NPIs, and BAU operations. You will set the architectural vision and engineering standards for the Salesforce platform and backend microservices, drive stabilization and re-architecture of critical data flows, champion modern full-stack practices and CI/CD, and oversee design reviews and governance across 20+ enterprise systems. You will partner with Product Managers, Solution Architects, TPMs, and Sales Ops to translate revenue strategies into scalable technical solutions, drive initiatives around new pricing and business models, and maintain observability to prevent revenue leakage and bottlenecks. Qualifications include 12+ years in enterprise B2B SaaS with 4+ years of people management, strong Salesforce expertise (Sales Cloud, Experience Cloud, Apex, LWC, Platform Events, SOQL), full-stack skills (Java, Node.js, React/TypeScript, Python), API and event-driven design, cloud/AWS experience, and leadership with strong communication; Salesforce certifications are preferred, and experience with billing or marketing integrations and AI-assisted tooling is a plus.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country where they have a legal entity. The role centers on designing, building, and shipping backend features in a scalable, distributed environment, collaborating closely with engineers, architects, product managers, and designers in an open, agile setting. Responsibilities include ensuring visibility, error reporting, and monitoring of high-performing backend services, and participating in Agile ceremonies such as daily stand-ups, sprint planning, retrospectives, and demos. The job involves code review with best practices for readability, testing, documentation, reliability, security, and performance, and developing backend applications using modern object-oriented languages and scalable RESTful microservices with databases ranging from RDBMS to NoSQL. It is a full-time position (40 hours/week, Mon-Fri, 8:30 a.m.–5:30 p.m.) with a salary between $224,800 and $235,000 per year.

At Atlassian, you can work wherever you prefer—office, home, or a hybrid setup—and the company hires globally in places where they have a legal entity, supporting personal and family goals. They serve over 300,000 customers worldwide, including NASA, IBM, Hubspot, Samsung, and Coca-Cola, with a mission to unleash every team’s potential through powerful software, driving customer impact and revenue growth. The culture centers on the value of play as a team, with employees working with Atlassian rather than for it, and there is strong earning potential for sales roles amid a large enterprise market. In the sales role, you’ll build and nurture executive relationships, negotiate contracts, and collaborate with internal teams (Channel Partners, Product Specialists, Account Managers, Solution Engineers) to ensure customer satisfaction, targeting Fortune 500 companies with a hunter mindset. Key responsibilities include developing territory or named account plans, executing strategic sales plans, qualifying leads, forecasting, and managing complex sales cycles while coordinating with cross-functional teams, traveling as needed to meet clients and industry events.

At Atlassian, employees can work from the office, home, or a mix, and the company hires globally wherever it has a legal entity, serving over 300,000 customers worldwide including major brands. The aim is to unleash every team’s potential through software, with a unique culture of teamwork where employees partner with Atlassian rather than simply working for it. There’s strong earning potential for sales roles, supported by a large enterprise market and customer preference for Atlassian products. The role focuses on building and nurturing relationships with key stakeholders, negotiating complex contracts, and collaborating with internal teams to ensure customer satisfaction, driven by a hunter mindset and interest in Fortune 500 opportunities. Responsibilities include developing and executing account/territory plans, qualifying leads, building executive relationships, cross-functional collaboration, contract and pricing negotiations, forecasting, staying industry-aware, travel as needed, and serving as the main point of contact for designated accounts while running strategic plays across complex sales cycles.

Atlassian offers flexible work locations and global hiring, serving more than 300,000 customers worldwide with a mission to unleash the potential of every team through software and sustained revenue growth, within a collaborative culture where employees work with Atlassian, not for Atlassian. The company emphasizes strong earning potential in a vast enterprise market, driven by ongoing demand for its products from Fortune 500 and other customers. As a sales team member, you will build and nurture relationships with key stakeholders, negotiate complex contracts, and collaborate with internal teams such as Channel Partners, Product Specialists, Account Managers, and Solution Engineers to ensure customer satisfaction. Your role includes developing named account or territory plans, executing strategic sales plans, identifying leads, engaging decision makers, delivering presentations, closing deals, maintaining executive relationships, forecasting, and staying informed about industry trends. You will serve as the main point of contact or escalation for designated accounts, run strategy plays, manage complex sales cycles, travel as necessary, and coordinate cross-functionally to build long-term customer relationships and opportunities.

The Principal Technical Program Manager will drive technical strategy and cross-functional execution across the agent integration, quality, and API governance platform layers. You will lead platform programs that enable agents to connect reliably to first- and third-party tools, define practical measures of agent quality, and govern agent and automation traffic through rate limits, quotas, API standards, and runtime safeguards. The scope will evolve as the platform and the industry mature, so success requires strong technical judgment, structured execution, and comfort operating in ambiguity; Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity. Key responsibilities include standardizing tool-calling interfaces and integration patterns, partnering with Security and Identity on authentication and credential management, and improving onboarding and lifecycle management for teams and partners. Additional focus areas cover agent quality observability with telemetry and benchmarks, API monetization and governance, runtime controls, and cross-functional execution to turn ambiguity into roadmaps and manage trade-offs.

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

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The DX Solutions Engineering Team is seeking a Solutions Architect to drive adoption and long-term growth of the DX product for Enterprise customers. The role serves as the technical authority post-sale, leading all technical aspects of implementation, onboarding, 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 goals, designing custom solutions and integrations, and guiding deployment pipelines for optimal performance. It also acts as a trusted advisor on DX analytics and deployment best practices, while capturing feedback to inform the product roadmap with Product and Engineering.

1) Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity, enabling employees to balance family and personal priorities. 2) The role is a hands-on, senior individual-contributor position that blends deep technical craft with strong product judgment, owning customer-facing products end to end. 3) You’ll own customer-facing products end to end across the full stack, influence product direction, and help build the next generation of AI-native and agentic experiences for teams worldwide. 4) Responsibilities include leading technical strategy and implementing large-scale features, partnering with product, design, data, and engineering to shape product strategy, and evaluating trade-offs between correctness, robustness, performance, and customer impact; you will also contribute to system design, code reviews, documentation, and best practices with security, performance, and reliability in mind, and mentor others. 5) The ideal candidate has 10+ years of full-stack experience in product and platform engineering, a track record of building and operating large-scale distributed systems and user-facing apps, experience with automated testing, production telemetry, and service reliability, a strong product and UX mindset, excellent communication and collaboration skills, and a commitment to innovation, mentorship, and inclusive, high-performing teams.

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

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity to support employees’ family and personal goals. They’re seeking product-minded Principal Engineers who are hands-on individual contributors at the intersection of deep technical craft and clear product judgment. In this role you will own customer-facing products end to end across the full stack, shape what gets built, and pursue AI-native and agentic experiences used by teams worldwide. You will lead technical strategy for large-scale features, implement them, and partner with product, design, data, and engineering to influence product direction, while evaluating trade-offs for correctness, robustness, performance, and customer impact. You’ll contribute to system design, code reviews, documentation, and best practices with security, performance, and reliability in mind; mentor and elevate the engineering organization; and bring 10+ years of full-stack experience, distributed-systems expertise, operational excellence, strong product/UX mindset, excellent communication, and a passion for innovation and inclusive, high-performing teams.

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

Atlassian is a global leader in team collaboration software whose tools (Jira, Confluence, Trello, Bitbucket, and Rovo) are trusted by millions to plan, track, and manage work. The company is focused on building innovative AI to drive the future of work and is seeking a Principal Machine Learning Engineer for its Search & Intelligence organization. The team builds Atlassian’s flagship AI products (agentic search and chat, long-horizon agents) and develops the frameworks, models, and infrastructure that accelerate AI feature development across the company, enriching the Teamwork Graph. Atlassian offers flexible work arrangements and can hire people in any country where they have a legal entity. The Principal ML Engineer will lead the development and implementation of cutting-edge ML algorithms powering AI capabilities, collaborate with product, engineering, and analytics teams, design system and model architectures, lead experimentation and evaluation, mentor engineers, and help shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software, trusted worldwide for tools like Jira, Confluence, Trello, Bitbucket, and Rovo to plan, track, and manage work. The company’s Search & Intelligence organization builds flagship AI products—agentic search and chat, long-horizon agents, and Teamwork Graph capabilities—while also developing frameworks, models, and infrastructure to accelerate AI across Atlassian. They are looking for a Principal Machine Learning Engineer to lead the development and implementation of cutting-edge ML algorithms powering AI capabilities across Atlassian’s products and services. The role involves collaborating with product, engineering, and analytics teams to translate business and customer needs into impactful solutions, designing system and model architectures, leading rigorous experimentation, and mentoring emerging ML engineers. Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country with a legal entity, while shaping the AI strategy to realize its transformative potential.

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

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

At Atlassian, you can work in an office, from home, or a combination of the two, giving you flexibility to support family, personal goals, and other priorities. We hire people in any country where we have a legal entity. In this role, you will tackle the largest and most complex problems from technical design to launch and provide technical leadership on high-impact projects. You will address complex architecture challenges, apply architectural standards, champion raising the technical bar, and collaborate with Engineering teams on company-wide initiatives spanning multiple projects. You will transfer depth of knowledge, share best engineering practices, improve engineering excellence, and mentor the next generation of technical leaders at Atlassian.

Atlassian offers flexible work options (office, remote, or a mix) and hires people in any country where they have a legal entity. In this role, you will regularly tackle the largest and most complex problems from technical design to launch, and provide technical leadership on high-impact projects with plans-of-attack for large initiatives. You will routinely address complex architecture challenges, apply architectural standards, and start using them on new projects, while evangelizing a high technical standard across the organization. You will partner across Engineering teams to take on company-wide initiatives spanning multiple projects and transfer your depth of knowledge to improve engineering excellence. You will mentor and grow the next generation of technical leaders at Atlassian.

Atlassian offers flexible work options—including in-office, remote, or a hybrid setup—to help employees support family, personal goals, and other priorities, and it hires in any country where it has a legal entity. The role is Principal Backend Software Engineer, focusing on delivering creative improvements for engineering teams. Your responsibilities include regularly unblocking challenges across the software development cycle, creating solutions used by other teams and products, and determining plans of attack for large projects. You’ll solve complex architecture challenges, apply architectural standards to new projects, lead code reviews and documentation, and tackle high-risk bug fixes while setting the standard for meaningful reviews. You’ll partner across engineering teams on company-wide projects, transfer your depth of knowledge between languages, and mentor more junior members of the team.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where the company has a legal entity. The role focuses on enhancing Oracle Fusion and RevPro to support business changes and integrating Fusion with systems like Salesforce, Stripe Billing, Zuora RevPro, Blackline, and Avatax. Responsibilities include architecting and designing business apps for process automation, and managing quarterly project roadmaps with prioritization of enhancements alongside transformation and cross-flow teams. You will coordinate with teams to resolve production issues as part of Run the Business on Fusion and Zuora RevPro, and collaborate with Commerce, Sales, and Data Engineering to optimize processes and digitalize solutions. The position involves working with SaaS vendors and contractors, administering and improving Oracle Fusion for global Finance and Accounting operations, with a 40-hour work week (Mon-Fri 8:30–5:30) and a salary of $232,700 per year.

1) Atlassian offers flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement to support family and personal goals. 2) They hire people in any country where they have a legal entity. 3) The role is fully remote but must be located in the US Pacific or Mountain time zones. 4) They are seeking a Fullstack Software Engineer focused on delivering creative improvements for their engineering teams. 5) Responsibilities include building REST APIs, customer-facing React components, monitoring for backend services, CI/CD pipelines, integrations with the content management system, and developing reliable features and services.

Atlassian supports flexible work arrangements—office, remote, or hybrid—and hires in any country with a legal entity; this role is fully remote but must be located in US Pacific or Mountain time zones. The role is Front End Software Engineer reporting to an Engineering Manager. You’ll work closely with design and product management to influence the product direction and collaborate with the team to deliver valued features customers love. You’ll write code and ship capabilities that are efficient, fast, testable, scalable, and high quality, helping Atlassian become the best project management tool for business teams. Responsibilities include delivering projects autonomously from design to launch, building client code with quality and performance, collaborating with engineers, designers, and managers to address user pain points, partnering with design and product across teams, and contributing to code reviews, documentation, and complex bug fixes.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The role focuses on driving creative improvements across Atlassian's engineering organization, specifically designing, building, and operating core identity services end-to-end. Responsibilities include authoring technical designs, implementing services, creating robust tests, deploying via CI/CD pipelines, monitoring SLOs, and maintaining operational excellence through on-call, incident response, and post-incident reviews. It also requires developing automation to minimize manual toil, mentoring peers, conducting design and code reviews, improving documentation, and enhancing the developer experience. The position emphasizes security best practices, threat modeling, and privacy-by-design in authorization workflows, with a schedule of 40 hours per week (Mon-Fri, 8:30 a.m.–5:30 p.m.) and a salary of $196,600 per year.

Atlassian offers flexible work options, allowing employees to work in-office, from home, or a mix to support personal priorities. They can hire people in any country where the company has a legal entity. The role involves working with Atlassian’s Focus Funds and AI team to build reliable software features and services. Responsibilities include building REST APIs, configuring monitoring for backend services, developing CI/CD pipelines, and creating platform integrations with the content management system. It is a full-time position (40 hours/week, Monday–Friday, 8:30 a.m.–5:30 p.m.) with a salary of $227,000 per year.

- Atlassian offers flexible work options, allowing employees to work from an office, home, or a combination to better support personal priorities. - The company hires in any country with a legal entity and develops features daily within a scalable, cross-geo distributed environment. - You’ll collaborate with engineers, architects, product managers, and designers, contribute to readable code reviews, and mentor teammates through formal and informal knowledge-sharing sessions. - There is a strong focus on testing, documentation, reliability, security, and performance, along with monitoring and visibility for backend services. - Work follows Agile practices with daily stand-ups, sprint planning, retrospectives, and demos, typically 40 hours per week (Mon–Fri, 8:30 a.m.–5:30 p.m.), with a salary range of $165,131 to $196,225 per year.

Atlassian offers flexible work arrangements and hires globally; as the Manager of Commercial Solutions Engineering for DX, you’ll lead a high-performing team of technical advisors to drive the DX product’s growth in mid-market and commercial sectors. Your responsibilities include scaling pre-sales strategy, coaching Solutions Engineers through fast-paced sales cycles, and serving as a bridge between Sales, Customer Success, Product, and Engineering leadership to ensure the platform meets the needs of agile engineering organizations. Team development duties include recruiting, onboarding, mentoring, and fostering a culture of technical excellence, consultative selling, and continuous learning. You will act as a player-coach on high-stakes deals, shape deal strategy with Account Executives, oversee POCs, map DX capabilities to business outcomes, standardize POC playbooks and pre-sales workflows, optimize resource allocation, and advocate for customer needs in leadership discussions to influence roadmap priorities. Required qualifications include 5+ years in Pre-Sales/Solutions Engineering with at least 2 years in leadership, a proven track record in mid-market/commercial sales, experience building scalable technical sales processes, deep engineering context with SDLC, DORA metrics, and the SPACE framework, familiarity with APIs, SQL, and Git, and strong stakeholder management and conflict-resolution skills.

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

Atlassian offers flexible work options (office, remote, or hybrid) and hires globally with virtual interviews and onboarding as part of its distributed-first approach. The Partner Solutions Architect – Accenture role, reporting to the Head of Partner Solutions - AMER, is a strategic position focused on leading joint solutions architecture and co-innovation with Accenture to create industry-specific offerings and AI/Work Graph integrations for Fortune 500 customers. The role sits within the Partner Solutions team, which builds deep GSI technical capabilities, repeatable delivery blueprints, and innovative AI-enabled workflows on the Atlassian Cloud. Responsibilities include guiding Accenture’s technical strategy, designing differentiated joint solutions, driving AI maturity through sessions and hackathons, and unifying client data by connecting ecosystems (e.g., Salesforce, ServiceNow, SAP, Microsoft 365, Slack, GitHub) to the Teamwork Graph for Rovo. It also encompasses supporting strategic co-selling, coordinating with Atlassian and Accenture teams on large deals, and publishing reference architectures and playbooks for global delivery.

1. Atlassians can choose where to work—office, home, or a mix—and the company hires in any country where it has a legal entity. 2. The Senior Data Engineer role sits in the Product DE organization and reports to the Senior Data Engineering Manager. 3. The role is responsible for designing premier data architecture and solutions that drive strategic decision-making, translating operational needs into technical requirements, and leading initiatives to improve overall system efficiency. 4. Key duties include partnering across engineering to drive high-impact initiatives, mentoring junior engineers, collaborating with leadership, product engineers, program managers, and data scientists, designing scalable data solutions, developing ELT/ETL pipelines, creating robust data models, implementing data quality frameworks, owning the end-to-end data engineering lifecycle, and participating in on-call rotation. 5. It also involves partnering with software engineering teams to build next-generation data systems that enable rapid, self-service data consumption.

Atlassian offers flexible work options—office, home, or a hybrid approach—and supports employees’ family, personal goals, and other priorities, with the ability to hire people in any country where the company has a legal entity. The Product Data Engineering (DE) organization is hiring a Senior Data Engineer who reports to the Senior Data Engineering Manager. The role involves designing premier data architecture and solutions to drive strategic decision-making and collaborating with business stakeholders to translate operational needs into technical requirements and improve overall system efficiency. Responsibilities include partnering across engineering to lead high-impact, company-wide initiatives, mentoring junior engineers, and working with leadership, product engineers, program managers, and data scientists to understand and prioritize business data requirements, while designing scalable data solutions and efficient ELT/ETL pipelines. The position also requires implementing robust data quality frameworks, owning the end-to-end data engineering lifecycle, participating in on-call rotations to ensure platform stability, and partnering with software engineering teams to build next-generation data systems for rapid, self-service data consumption.

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

At Atlassian, you can work from an office, from home, or a mix of both, and the company hires in any country where it has a legal entity. The Senior Data Engineer in the Product Data Engineering (DE) organization reports to the Senior Data Engineering Manager and is responsible for designing premier data architecture and solutions that drive strategic decision-making. In addition to technical work, the role involves translating operational needs into technical requirements, leading initiatives to improve system efficiency, mentoring junior engineers, and collaborating with leadership, product engineers, program managers, and data scientists to understand and prioritize business data requirements. Responsibilities include designing scalable, high-performance data solutions, developing and optimizing ELT/ETL pipelines for large-scale and specialized data, creating robust data models, implementing data quality frameworks, and owning the end-to-end data engineering lifecycle. The role also requires participating in on-call rotations and partnering with software teams to build next-generation data systems that enable rapid, self-service data consumption.

Atlassian supports flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The Senior Data Engineer in the Product Data Engineering (DE) organization designs scalable data architectures and solutions to support strategic decision-making. They translate operational needs into technical requirements, lead company-wide initiatives, mentor junior engineers, and foster a culture of technical excellence. They collaborate with leadership, product engineers, program managers, and data scientists to prioritize data requirements and design high-performance data models and ELT/ETL pipelines. They own the end-to-end data engineering lifecycle, implement data quality frameworks, participate in on-call rotations, and partner with software teams to build next-generation data systems enabling self-service data consumption.

Atlassian supports flexible work arrangements (office, home, or hybrid) and hires globally in any country where it has a legal entity. The Product Data Engineering (DE) organization is looking for a Senior Data Engineer to design premier data architecture and solutions that drive strategic decision-making. The role involves translating operational needs into technical requirements, spearheading high-impact company-wide initiatives, and mentoring junior engineers to foster technical excellence. You will collaborate with leadership, product engineers, program managers, and data scientists to understand business data requirements and to design scalable data models and high-performance ELT/ETL pipelines for large-scale and specialized datasets. You will implement data quality frameworks, own the end-to-end data engineering lifecycle, participate in on-call rotations for platform stability, and partner with software teams to build next-generation data systems enabling rapid self-service data consumption.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity to support employees' family and personal goals. The Sales Enablement Specialist at DX owns the delivery engine that makes enablement programs repeatable, usable, and scalable. Responsibilities include building and maintaining onboarding content, learning paths, schedules, checklists, and certifications, plus facilitating foundational onboarding sessions and role plays. They also manage program logistics, maintain the onboarding hub and enablement libraries (Confluence, Gong), create playbooks and learner resources, and coordinate the monthly go-to-market enablement cadence with PMM, Product, Marketing, and Sales. Additional duties include gathering feedback and reporting on completion, attendance, certification, adoption, and usage, as well as supporting GTM/product launches with learner-facing materials and building the SDR enablement program after the AE foundation is in place, and supporting other priority enablement initiatives as needed.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The company is seeking a versatile, senior sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance and to design robust data pipelines that monitor data drift across systems such as Salesforce, Oracle Fusion, Gainsight, and Databricks. In this role you will evolve the data stack, champion best practices in data processing and analytics design, and build a robust AI context layer to enable safe interaction of AI agents with the company's data. Responsibilities include designing, building, and maintaining data infrastructure for quality and accessibility, leading data product development and canonical datasets, and developing high-volume ETL/ELT pipelines using data lake and warehouse concepts; you will also partner with finance and other cross-functional teams to flag data inconsistencies that affect close processes. Additional duties include performing sizing analyses for data infrastructure changes, owning SME-level knowledge of core system data transformations from requirements through UAT to implementation, and driving efficiencies to reduce manual processes while conducting UAT/QA on bug fixes and feature releases.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. They’re seeking a versatile, senior sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance, designing robust pipelines and infrastructure to monitor data drift across 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 for safe AI agent interaction. Responsibilities include designing, building, and maintaining data infrastructure for quality and accessibility, leading development of data products and the AI context layer, and creating canonical datasets via high-volume ETL/ELT pipelines while partnering with finance and cross-functional teams to flag inconsistencies and support close of books with impact analyses. Additional duties cover owning core system data transformations from requirements through UAT to data engineering implementation, finding efficiencies to reduce manual processes, and investigating bugs with UAT/QA for bug fixes and feature releases.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity, while Confluence aggregates content from file drives, chat, code hosts, CRMs, and data platforms with preserved permissions to support AI answers. The Aggregation team makes Confluence fill and organize itself from those tools, keeping content current as work changes and forming the knowledge base behind AI answers. The role owns the strategy for connected content in Confluence—what gets pulled, how it’s organized, how freshness and decay are managed, and how missing content is flagged—serving three audiences: admin, space owner, and end user. Responsibilities include defining how messy inputs become usable structure, setting freshness/decay rules, establishing retrieval quality and AI evaluation, deciding what ships, and driving cross-functional execution across Engineering, Design, Data Science, Research, Marketing, Partnerships, and Security and Trust. They seek 8+ years of product management experience with a product where content, retrieval, or a model-powered experience was core, plus fluency with unstructured content and retrieval-augmented generation, ability to prototype and test hypotheses, and optional experience with integrations and knowledge-management domains.

Atlassians can choose to work in an office, from home, or a combination, giving them flexibility to support family, personal goals, and other priorities. The company can hire people in any country where there is a legal entity. The role is fully remote but requires you to be located in either US Pacific or Mountain time zones. They are looking for a Back End Software Engineer to join the team, focused on delivering creative improvements for their engineering teams. Responsibilities include building REST APIs powering core customer experiences, configuring monitoring for backend services, building CI/CD pipelines, developing integrations with the content management system, and creating features and services with reliability in mind.

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

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity, with products like Jira Software, Confluence, and Jira Service Management designed to unleash the potential of every team. The company’s solutions are used by the majority of the Fortune 500 and over 300,000 companies worldwide, including NASA, Audi, Kiva, Deutsche Bank, and Dropbox, to help teams collaborate and deliver quality results on time. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, pursuing cross-sell and expansion, nurturing relationships, and hitting revenue targets while advocating for customers and feeding feedback to product and engineering. In this role, you will own about 40 accounts (200–10,000 Atlassian seats), carry a $2–4M annual quota, and lead a cross-functional deal team (SDR, SE, SSE, AM, and partners) to establish territory and account plans and build executive relationships. You will qualify opportunities using MEDDPICC, close complex, multithreaded deals through outcome-based selling, collaborate with channel, marketing, product, and customer success teams, negotiate contracts, maintain a healthy pipeline with accurate forecasting, stay current on industry trends, and travel occasionally for meetings and events.

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

Atlassian supports a flexible, distributed-first work model with virtual interviews and hiring in any country where it has a legal entity. The Intern program combines hands-on technical training, professional growth, dedicated mentorship, and strong social connections to set students up for a successful Atlassian career. The PhD Research Intern role is preferred to be co-located in Seattle or within the Pacific Time Zone, with a paid 12-week internship typically running May/June through August/September 2027. You’ll join the Machine Learning Research team to work on advanced ML/AI technologies, focusing on LLMs, Generative AI, conversational agents, and AI optimization to address enterprise-scale problems. Responsibilities include cross-functional design and evaluation of experiments, dataset curation, training and alignment of LLMs for specialized applications, rigorous performance analyses, and contributions to publications and internal or top-tier venues.

- Atlassian offers flexible work options—office, remote, or hybrid—to help employees balance business demands with family responsibilities. - Atlassian is seeking a Machine Learning Engineer to join the Growth organization, which builds intelligent, personalized experiences to help customers discover value and progress through the lifecycle from awareness to retention and expansion. - The role focuses on turning behavioral and product signals into scalable ML systems that support the growth funnel and enable more relevant customer and sales experiences, including moving cross-flow ranking to a unified, value-aware orchestration system that weighs user context, conversion probability, and expected lifetime value. - You will design, build, and operate ML systems for personalized recommendations, activation journeys, cross-product expansion, and sales experiences; define the strategy for evolving ML capabilities; and partner with product, engineering, data science, analytics, marketing, and sales to translate growth opportunities into measurable experiments and production capabilities. - The candidate should have a Bachelor's or Master’s in CS or equivalent, 5+ years of ML experience, proficiency in Python (and ideally Java/Typescript), SQL, Spark, and cloud data environments (AWS, Databricks); experience building large-scale models and datasets with evaluation frameworks; strong communication skills; and familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference, with bonus for SaaS or consumer/B2B growth experience.

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

At Atlassian, employees can work in-office, from home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. The Senior Machine Learning Engineer on the Agentic Search team will build agentic search systems that help AI assistants and developers discover enterprise knowledge, reason through questions, and accomplish tasks across products and tools. The role sits within Search Relevance and focuses on interpreting intent, planning searches, using tools, and adapting to new evidence, guided by rigorous evaluation, with ownership from problem definition through deployment and ongoing measurement, in collaboration with product, search infrastructure, modeling, and evaluation teams. Responsibilities include delivering APIs and tools (such as MCP), creating reproducible benchmarks, enabling trustworthy comparisons, and leveraging AI advances to improve the full search system while respecting enterprise data boundaries. Candidates should have a CS degree or equivalent, 4+ years of ML experience in production, strong Python skills, experience with LLMs/IR/NLP, and a demonstrated ability to design experiments and lead technical projects; additional experience with agents, MCP, evaluation benchmarks, retrieval, and cloud ML environments is a plus.

Atlassian supports flexible work arrangements—office, home, or hybrid—and hires in any country where it has a legal entity. The Senior Machine Learning Engineer — Agentic Search will join the Search Relevance team to build agentic search systems that help people and AI agents discover enterprise knowledge, reason through complex questions, and accomplish tasks across products and tools. You’ll own end-to-end projects, build capabilities via APIs and protocols like the Model Context Protocol (MCP), create reproducible benchmarks and evaluation tools, and use findings to improve the full search system, including model behavior and interfaces. Candidates should have a bachelor’s or master’s in CS (or equivalent), 4+ years of production ML experience, strong Python, and experience with LLMs, AI agents, information retrieval, or NLP, plus the ability to lead ambiguous projects and communicate with engineering and product partners. Nice-to-have items include building tools for agents, API/interface design for AI agents (including MCP), reproducible benchmarks, retrieval-augmented or semantic search, LLM fine-tuning, and experience with distributed data processing and cloud ML environments such as Spark, AWS, or Databricks.

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

Atlassian offers flexible work arrangements (in-office, remote, or hybrid) and hires globally in any country where it has a legal entity. The Senior Machine Learning Engineer will join the Agentic Search team within Search Relevance to build agentic search systems that help users and AI agents discover enterprise knowledge and accomplish tasks across Atlassian products and developer workflows. The team designs systems that interpret intent, plan searches, use tools, and adapt to new evidence, with rigorous evaluation guiding development and cross-functional collaboration to improve the full search experience. Responsibilities include delivering agentic search capabilities through APIs and protocols like the Model Context Protocol (MCP), developing reproducible benchmarks, enabling trustworthy performance comparisons, and owning projects from design through deployment with ongoing measurement. Requirements include a bachelor’s or master’s in CS or equivalent, 4+ years of production ML experience, strong Python, and experience with LLMs, AI agents, information retrieval, or NLP, plus the ability to lead ambiguous technical projects; preferred skills include experience building tool-using agents, MCP, APIs, retrieval-augmented or semantic search, LLM fine-tuning, and cloud processing with Spark/AWS/Databricks.

Atlassian offers flexible work locations (office, home, or hybrid) and hires in any country where it has a legal entity. They are seeking a Senior Machine Learning Engineer to join the Agentic Search team, building systems that help people and AI agents discover enterprise knowledge and accomplish tasks across products and developer workflows. The team sits in Search Relevance and focuses on interpreting intent, planning searches, selecting tools/sources, and evolving as new evidence becomes available, guided by rigorous benchmarks. You’ll own end-to-end projects—from problem definition to deployment—build agentic search capabilities via APIs and protocols like MCP, and develop reproducible evaluation tools to enable trustworthy comparisons and fast experimentation. Requirements include a 4+ year ML background, strong Python, experience with LLMs/AI agents/NLP, designing experiments and evaluation datasets, and the ability to lead ambiguous projects, with preferred extras like agent tooling, API design, retrieval-augmented search, and cloud ML environments.

The Senior CSA (AI) will join Atlassian’s Customer Success Architect team to drive adoption of the Rovo AI platform through time-boxed, co-built engagements that turn activation into measurable business value while creating repeatable, scalable playbooks and enablement. They’ll partner with enterprise teams on the most complex activations and maintain a strong link to Rovo Product and Engineering, combining deep AI and Atlassian platform expertise with customer success leadership to achieve measurable adoption outcomes at both the engagement and program levels. On day one, they’ll facilitate discovery workshops, co-design custom Rovo agents and connectors, and guide deployment from sandbox to production, ensuring agents perform, data flows are established, and teams can scale post-engagement. They’ll own the engagement methodology, build and iterate playbooks, onboard and train new team members, bridge Product and Field, and translate field feedback into product roadmap input while collaborating with Account Teams and Customer Success Managers on activation journeys and sustained growth. They’ll advocate across Rovo Product and Engineering to surface friction and broaden AI adoption into new use cases and markets, and travel up to 15% for events and customer meetings.