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The role is based in New York City; DX is a fast-growing SaaS company headquartered in Salt Lake City that helps engineering leaders build high-performing teams by collecting millions of data points to illuminate developer productivity for customers like Pinterest, GitHub, BNY, and Xero. DX has grown profitably, tripling annual recurring revenue in recent years, and was recently acquired by Atlassian to expand resources, accelerate growth and R&D, and deliver greater impact to customers. DX values mastery and clear performance expectations, believing that those who excel at their craft will thrive and be rewarded, while acknowledging that some outcomes are beyond control. What you’ll do: coach a team of Strategic Account Executives to hit and exceed targets, operate as a "player-coach" in high-stakes demos and negotiations, institutionalize the sales process with rigorous pipeline discipline, forecasting, and CRM hygiene, analyze performance data to coach underperformers, drive GTM improvements from frontline feedback, and foster a culture of continuous learning through film reviews, role-plays, and value-centric training. You’re the kind of leader who prioritizes your team’s wins over your own, is a systems thinker who builds repeatable processes, leads by example with grit and bias for action, delivers radical candor, thrives in ambiguity, and uses data to guide decisions while remaining deeply attuned to people and relationships via high emotional intelligence.

The role is located in New York City, and DX—headquartered in Salt Lake City—helps engineering leaders build high-performing teams by collecting millions of data points daily to deliver productivity insights for companies like Pinterest, GitHub, BNY, and Xero. The company has grown profitably, tripling annual recurring revenue in recent years, and recently closed an acquisition by Atlassian to expand resources, accelerate growth and R&D, and increase impact for customers. At DX, the value system centers on individual mastery and becoming the best at your craft, with performance judged by excellence rather than controllable outcomes. You’ll coach and develop a team of Strategic Account Executives to hit targets, adopt a player-coach approach in demos and negotiations, institutionalize the sales process with rigorous pipeline discipline and CRM hygiene, analyze performance data to coach underperforming reps, drive GTM improvements from frontline feedback, foster continuous learning, and recruit top talent. The ideal candidate thrives as a team-first, systems-thinking leader who leads by example, delivers radical candor, thrives in ambiguity, uses data to guide conversations while prioritizing the human element, and possesses high emotional intelligence to manage complex stakeholders.

DX is a fast-growing SaaS company based in Salt Lake City that collects millions of data points daily to power insights into developer productivity and experience for customers like Pinterest, GitHub, BNY, and Xero. The company has scaled profitably, tripling annual recurring revenue in recent years, and recently closed an acquisition by Atlassian to expand resources and accelerate growth and R&D. DX’s culture centers on individual mastery and delivering high-level performance, with rewards for those who master their craft, while acknowledging that outcomes are influenced by external factors. The role involves coaching a team of Enterprise Account Executives to consistently hit targets, balancing a player-coach approach, institutionalizing the sales process, ensuring pipeline discipline and accurate forecasting, analyzing data to improve performance, driving GTM improvements from customer feedback, and recruiting and developing top talent while fostering continuous learning. Compensation follows Atlassian’s US geographic pay zones, with Zone A ranging from $246,864 to $322,294, Zone B from $222,177 to $290,065, and Zone C from $204,897 to $267,504, and may include benefits, bonuses, commissions, and equity.

DX is a Salt Lake City, Utah-based, fast-growing SaaS company that helps engineering leaders build high-performing teams, collects millions of data points daily to illuminate developer productivity for customers such as Pinterest, GitHub, BNY, and Xero, and has tripled its annual recurring revenue before being acquired by Atlassian. Joining Atlassian will expand DX's resources, accelerate growth and R&D, and ultimately deliver greater impact to its customers. DX emphasizes mastery and excellence at your craft as its core value, with those who demonstrate this quality thriving and being highly rewarded, while acknowledging that outcomes are influenced by external factors but high-quality execution is within control. The role entails coaching and developing a team of Enterprise Account Executives to consistently hit and exceed monthly and quarterly revenue targets, serving as a "player-coach" in high-stakes demos and negotiations, institutionalizing the sales process with rigorous pipeline discipline, forecasting, and CRM hygiene, analyzing performance data to address bottlenecks, driving GTM improvements from customer feedback, fostering continuous learning through film reviews and role-plays, and recruiting and onboarding top talent. At Atlassian, compensation is designed to be equitable and competitive with geographic pay zones in the United States (Zones A–C), where base pay ranges are Zone A: $246,864–$322,294; Zone B: $222,177–$290,065; Zone C: $204,897–$267,504, with eligibility for benefits, bonuses, commissions, and equity, and candidates should confirm their pay zone with their recruiter.

Atlassian's Strategy Collection is designed to align company strategy with execution at scale, offering an enterprise-grade product and thoughtful, trustworthy AI experiences that improve decisions while preserving transparency and control. They are hiring a Principal Product Manager to lead core Focus capabilities within the Focus app, shaping vision, roadmap, and operating cadence for the jobs-to-be-done in Strategy Collection. The role is hands-on and cross-functional, requiring strong product judgment, enterprise SaaS depth, and the ability to drive AI-native product development across discovery, prototyping, experimentation, launch, and post-launch learning. Responsibilities include prioritizing high-impact AI opportunities in Focus workflows, coordinating with engineering, design, platform, data, GTM, and executives, translating complex needs into pragmatic decisions, and delivering executive-ready narratives while managing risks to trust, quality, and outcomes. Qualifications include 8+ years of enterprise SaaS product management experience with AI fluency, experience shipping AI-enabled capabilities, ability to co-build with customers and manage senior stakeholders, excellent communication, and flexibility on work location and eligibility to hire in any country with a legal entity.

Atlassian’s Strategy Collection aims to connect company strategy to execution, align teams, track progress, and enable scalable decision-making, with a focus on open collaboration, practical innovation, trustworthy AI, and flexible work options. They are hiring an experienced Principal Product Manager to lead core Focus app capabilities within Strategy Collection, shaping how Focus helps leaders define priorities, link work to outcomes, monitor progress, and make high-quality decisions at scale. Responsibilities include defining the Focus vision, roadmap, and operating plan; leading AI-native product building across discovery, prototyping, experimentation, and post-launch learning; identifying and prioritizing high-impact AI opportunities across workflows such as insights, progress monitoring, and decision support; and driving cross-functional initiatives to improve alignment and admin control. Qualifications require 8+ years in enterprise SaaS product management, strong AI fluency with AI-native practices, 0-to-1 product development experience (including co-building with customers and managing senior stakeholders), and experience shipping AI/ML-powered capabilities with responsible AI practices, plus exceptional communication and cross-functional leadership. The role reports to the Head of Product of Strategy Collection and involves creating executive-ready narratives, balancing near-term adoption with long-term value, trust, extensibility, and admin control, with Atlassians able to work from anywhere and the potential to hire globally where there is a legal entity.

- Atlassian offers flexible work options, allowing employees to work in an office, from home, or a combination, to support personal goals and priorities. - The company hires people in any country where it has a legal entity, and the role described is for a Principal ML System Engineer in the Rovo & AI Engineering org focusing on Rovo Chat, bringing bleeding-edge innovations and building agent harnesses to improve quality, reliability, and latency. - The role includes leading other engineers on projects from technical design to launch, and collaborating with other teams and internal customers to set expectations and communicate results. - The position is described as pivotal, extending beyond task execution to realize AI’s transformative potential across Atlassian’s offerings. - The future team’s mission is to make Rovo the fastest, most trusted way for teams to find, understand, and act on their knowledge, with the product surface having grown 10x in the last year as a result of these efforts.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity. The role is Principal ML System Engineer in the Rovo & AI Engineering org, focusing on Rovo Chat and bringing bleeding-edge innovations to improve quality, reliability, and latency. The position includes leading other engineers from technical design to launch and collaborating with teams and internal customers to set expectations, gather input, and communicate results. The role is pivotal and aims to realize AI's transformative potential across Atlassian's offerings. The Rovo & AI Engineering team's mission is to make Rovo the fastest, most trusted way for teams to find, understand, and act on their knowledge, with the product surface having grown 10x over the last year.

Atlassian offers flexible work arrangements and hires globally wherever there is a legal entity. As Principal Machine Learning Engineer in Confluence AI, you’ll shape the next generation of AI-powered experiences and turn rapid ML advances into scalable product features. You will own the full stack of AI product development—from product design and evaluation strategy to production engineering, experimentation, and long-term technical leadership—collaborating with product, platform, and partner teams. Responsibilities include setting technical direction for ML initiatives across Confluence (content creation, editing, summarization, recommendations, multimodal interaction), building production-grade ML systems and evaluation loops, and delivering customer-facing AI capabilities with measurable outcomes. You will identify failure modes, make high-leverage architectural decisions balancing quality, latency, cost, safety, and maintainability, mentor other engineers, and help ship deeper AI experiences across editor surfaces, content types, and collaborative workflows.

Atlassian supports flexible work locations (office, remote, or hybrid) and hires in any country where it has a legal entity to help employees balance personal priorities. The Principal Machine Learning Engineer in the Confluence AI organization will help shape the next generation of AI-powered experiences across Confluence and is a hands-on role that turns fast-moving ML advances into scalable product experiences. The role spans the full AI product development stack—model-informed design and evaluation, production engineering, experimentation, and long-term technical leadership—and is well suited for someone with both ML depth and product/system thinking. Responsibilities include setting technical direction for ML initiatives, designing and evolving production-grade ML systems and evaluation loops, leading customer-facing AI capabilities, and driving advances in areas such as model behavior, retrieval, ranking, prompts/workflow design, and reliability while coordinating with cross-functional teams. It also involves architectural decision-making across layers, hands-on prototyping and rollout guidance, mentoring engineers, raising engineering standards, and building foundations for deeper, more integrated AI experiences across editor surfaces, content types, and collaborative workflows.

Atlassian supports flexible work locations—office, home, or hybrid—and hires in any country with a legal entity; this role is a Principal Machine Learning Engineer in the Confluence AI organization to shape the next generation of AI-powered experiences across Confluence. It’s a hands-on principal-level role for an engineer who can turn fast-moving advances in machine learning into high-quality product experiences at scale, collaborating across product, platform, and partner teams to tackle ambiguous problems and deliver AI capabilities that enhance how users create, edit, discover, and interact with content. The role spans the full AI product development stack, from model-informed design and evaluation strategy to production engineering, experimentation, and long-term technical leadership, and is well suited for someone with strong ML depth combined with product instinct and systems thinking. Key responsibilities include setting technical direction for ML/AI initiatives powering Confluence experiences—covering content creation, editing, summarization, recommendations, and multimodal interaction—plus designing, building, and evolving production-grade ML systems, evaluation workflows, and experimentation loops to reliably deliver AI features at scale. It also involves leading the development of customer-facing AI capabilities by translating product opportunities into practical technical strategies and measurable outcomes, partnering with engineering, product, design, analytics, and platform teams, identifying failure modes, making high-leverage architectural decisions around latency, cost, safety, and maintainability, mentoring other engineers, and laying foundations for deeper, more integrated AI experiences across editor surfaces and collaborative workflows.

Atlassian offers flexibility in work location—office, remote, or a mix—and hires in any country where it has a legal entity. The Principal Machine Learning Engineer in the Confluence AI organization will be a hands-on role that shapes AI-powered experiences across Confluence and works with product, platform, and partner teams to turn advances in ML into scalable, customer-facing capabilities. The role spans the full AI product development lifecycle, from model-informed product design and evaluation to production engineering, experimentation, and long-term technical leadership. Responsibilities include setting technical direction for ML and AI initiatives, building production-grade ML systems, improving model behavior and retrieval, and driving cross-functional initiatives with a focus on reliability, safety, latency, and user experience. The position also involves mentoring engineers, raising engineering standards, and laying foundations to enable deeper, more integrated AI experiences across editor surfaces, content types, and collaborative workflows.

Atlassian supports flexible work locations and hires in any country where it has a legal entity; the role described is Principal Machine Learning Engineer in the Confluence AI organization. It is a hands-on, principal-level role aimed at turning rapid advances in machine learning into high-quality, scalable AI-powered experiences for Confluence users. The position spans the full AI product development stack—from model-informed product design and evaluation to production engineering, experimentation, and long-term technical leadership. Responsibilities include setting technical direction for ML and AI initiatives across Confluence areas such as content creation, editing, summarization, recommendations, and multimodal interaction; building production-grade ML systems, evaluation loops, and infrastructure; and translating ambiguous product opportunities into tangible outcomes. It also entails cross-team collaboration to align roadmaps, identifying systemic failure modes and closing the loop with data-driven iteration, making high-leverage architectural decisions, mentoring engineers, and laying foundations for deeper, more integrated AI experiences across editor surfaces, content types, and workflows.

Atlassian offers flexible work options—office, home, or hybrid—and hires in any country where we have a legal entity. As a Principal Machine Learning Engineer in the Confluence AI organization, you will shape the next generation of AI-powered experiences and turn fast-moving ML advances into high-quality product experiences at scale, with hands-on engineering. You will work across product, platform, and partner teams to define technical direction, solve ambiguous problems, and deliver AI capabilities that improve how users create, edit, discover, and interact with content, spanning the full AI product development stack. Your responsibilities include setting technical direction for ML initiatives (content creation, editing, summarization, recommendations, multimodal interaction), building production-grade ML systems, evaluation workflows, experimentation loops, and reliable deployment of AI features. You will partner with engineering, product, design, analytics, and platform teams, identify systemic failure modes, and make high-leverage architectural decisions while mentoring others, contributing hands-on work, and laying the foundations for deeper AI experiences across editor surfaces and workflows.

Atlassian offers flexible work options, letting people work in the office, from home, or a mix, and hires in any country where it has a legal entity. In Confluence AI, you will be a Principal Machine Learning Engineer who helps shape the next generation of AI-powered experiences and turn fast-moving ML advances into high-quality product experiences at scale. The role spans the full AI product development stack, from model-informed design and evaluation strategy to production engineering, experimentation, and long-term technical leadership, requiring both ML depth and product instincts. Responsibilities include setting technical direction for ML/AI across Confluence content creation, editing, summarization, recommendations, and multimodal interactions; building production-grade ML systems and evaluation loops; and driving advances in model behavior, retrieval, ranking, prompts/workflow design, and reliability, while collaborating with cross-functional teams. The role also involves mentoring engineers, raising engineering standards, making high-leverage architectural decisions balancing quality, latency, cost, safety, and user experience, contributing hands-on when needed, and helping lay foundations for deeper AI experiences across editor surfaces and collaborative workflows.

At Atlassian, employees can work from the office, home, or a hybrid arrangement. This flexibility helps Atlassians support their family, personal goals, and other priorities. The company hires people in any country where it has a legal entity. They’re seeking a senior technical leader to shape systems and technical direction across multiple quarters while staying close to architecture, experimentation, quality, and production systems. The role includes areas like model post-training, personalization/recommendation, proactive and agentic experiences, and involves tackling ambiguous problems end-to-end—defining the approach, aligning partners, driving execution, and safely bringing solutions into production.

Atlassian offers flexible work options, including office, remote, or a hybrid approach. They hire people in any country where they have a legal entity. They’re seeking a senior technical leader to shape systems and technical direction across multiple quarters while staying close to architecture, experimentation, quality, and production systems. The role involves work across areas such as model post-training, personalization/recommendation, proactive and other agentic experiences. Responsibilities include tackling ambiguous problems end to end—defining the approach, aligning partners, driving execution, and bringing solutions safely into production.

- Atlassian offers flexible work options, allowing employees to work in the office, from home, or a hybrid setup to better balance family, goals, and priorities. - They hire people in any country where they have a legal entity. - The company is seeking a senior technical leader to shape systems and technical direction across multiple quarters while staying close to architecture, experimentation, quality, and production systems. - The role spans areas such as model post-training, personalization/recommendation, proactive and other agentic experiences. - Candidates will tackle ambiguous problems end-to-end, defining the approach, aligning partners, driving execution, and delivering solutions safely into production.

Atlassians can choose where they work—office, from home, or a combination. This flexibility helps them support family, personal goals, and other priorities. Atlassian hires people in any country where they have a legal entity. They’re seeking a senior technical leader who can shape systems and technical direction across multiple quarters while staying close to architecture, experimentation, quality, and production systems. The role involves work across areas such as model post-training, personalization/recommendation, proactive and other agentic experiences, and requires tackling ambiguous problems end to end—defining the approach, aligning partners, driving execution, and delivering solutions safely into production.

- Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where they have a legal entity, giving employees control over family and personal priorities. - The Atlassian Advisory Services team is a globally distributed group of experts focused on driving customer success for large strategic and enterprise customers with complex challenges. - They are hiring an Engagement Manager (an individual contributor, not a manager) to lead and execute client engagements and deliver value using Atlassian solutions. - The role acts as the primary client contact, guides the engagement lifecycle, manages scope, ensures efficient delivery, identifies future opportunities, and reports on value while collaborating with cross-functional Atlassian teams. - Travel up to 30% of the time domestically and sometimes internationally for internal and customer-facing events.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires people in any country where they have a legal entity. - The Advisory Services team is a globally distributed group of Atlassian experts focused on helping large strategic and enterprise organizations achieve successful outcomes and maximize benefits from their Atlassian investments. - Atlassian is hiring an Engagement Manager as an individual contributor (not a managerial role) to lead and execute client engagements and advise external clients on achieving their goals with Atlassian solutions. - Key responsibilities include serving as the primary contact for engagements, guiding scope and delivery, executing projects, identifying future opportunities, building durable client relationships, and coordinating with teams across Atlassian. - The role may require up to 30% travel domestically and internationally for internal and customer-facing events, with the aim of delivering impact to millions of users by turning client ideas into action.

The role is AI Productivity Lead, Sales Development, embedding AI into SDR prospecting and pipeline processes, a hands-on builder with an executive mandate to redesign operations and increase pipeline without more headcount. They will partner across Sales, RevOps, Enablement, Engineering, Marketing, and AI governance to turn high-value use cases into repeatable products with measurable outcomes. Responsibilities include identifying high-value opportunities by shadowing SDRs and evaluating workflows across Salesforce, Outreach, Gong, and Slack, maintaining a backlog of AI opportunities; building and scaling AI products like research agents, account briefs, meeting prep, manager briefs, coaching copilots, forecast assistants, territory planners, and pipeline inspectors. They will own the experimentation roadmap, running disciplined experiments on meetings, connect rates, personalization, ramp, administrative time, forecasting, coaching, and pipeline, scaling what works and stopping what doesn’t, while leading cross-functional delivery to provide secure, governed, adopted solutions. The role emphasizes embedding AI into daily work, building for sustainability with guardrails, monitoring incidents and operational quality, and measuring business impact through adoption, time saved, meetings booked, pipeline created, conversion, manager hours reclaimed, ramp impact, and revenue contribution.

The AI Productivity Lead, Sales Development, is a hands-on product builder embedded in SDR who will embed AI into prospecting, prioritization, personalization, coaching, and pipeline creation, with an executive mandate to redesign how the team works and increase pipeline without adding headcount. You will discover, build, ship, measure, and scale AI-powered workflows that make SDRs and SDR managers more productive. You will identify high-value opportunities by shadowing SDRs and managers and analyzing workflows across tools like Salesforce, Outreach, Gong, and Slack, maintaining a prioritized backlog of AI improvements. You will design, prototype, launch, and iterate internal AI products such as research agents, account briefs, meeting-prep assistants, manager briefs, coaching copilots, forecast assistants, territory planners, and pipeline inspectors, and you will lead an experimentation roadmap across meetings, connect rates, personalization, ramp, administrative time, forecasting, coaching, and qualified pipeline. You will lead cross-functional delivery with Engineering, RevOps, Enablement, Product Marketing, Sales leadership, and AI governance to deliver secure, governed, adopted solutions; embed AI into daily work; build guardrails for privacy, security, cost, performance, and human judgment; and measure impact through adoption, time saved, meetings booked, pipeline created, conversion, manager hours reclaimed, ramp impact, and revenue contribution.

DX is a fast-growing SaaS company headquartered in Salt Lake City that helps engineering leaders build high-performing teams and collects millions of data points daily to power insights into developer productivity and experience for customers like Pinterest, GitHub, BNY, and Xero. The company has scaled profitably, tripling its annual recurring revenue in recent years, and recently closed an acquisition by Atlassian. By joining Atlassian, DX will gain expanded resources, accelerate growth and R&D, and deliver greater impact to its customers. DX's core value is individual mastery—the belief that those who excel at their craft will thrive and be unduly rewarded, while outcomes beyond the company's control are acknowledged and mitigated by doing the highest-quality work possible. The role emphasizes prospecting and closing new opportunities across defined territories, owning the full sales cycle, running proofs of concept and business-case discussions, building a disciplined pipeline and accurate forecasts, shepherding buyers through complex evaluations, and feeding market insights back into product and GTM improvements while staying current on industry trends and the product roadmap.

DX is a rapidly growing SaaS company headquartered in Salt Lake City that helps engineering leaders build high-performing teams and analyzes millions of daily data points to provide insights into developer productivity for companies like Pinterest, GitHub, BNY, and Xero. The company has scaled profitably, tripling its annual recurring revenue in recent years, and recently closed an acquisition by Atlassian. By joining Atlassian, DX aims to expand resources, accelerate growth and R&D, and deliver greater impact to customers. DX emphasizes a culture of individual mastery, stating that performance is judged by one’s craft and that those who master their roles will thrive and be rewarded, while outcomes are influenced by external factors. In sales roles, responsibilities include prospecting and closing new opportunities, owning the full sales cycle, conducting proofs of concept and demos, maintaining a disciplined pipeline with accurate forecasting, guiding buyers through complex evaluations, feeding market feedback into product and GTM improvements, and staying current on industry trends and roadmap.

DX is a fast-growing SaaS company based in Salt Lake City that helps engineering leaders build high-performing, productive teams and collects millions of data points daily to deliver insights into developer productivity and experience for customers such as Pinterest, GitHub, BNY, and Xero. The company has scaled profitably, tripling its annual recurring revenue in recent years, and it recently closed on its acquisition by Atlassian. Joining Atlassian is expected to expand resources, accelerate growth and R&D, and deliver greater impact to customers. DX emphasizes a culture centered on individual mastery, arguing that those who master their craft will thrive and be richly rewarded, while acknowledging that outcomes are influenced by external factors beyond control. The described role involves prospecting, qualifying, and closing net-new logos and strategic expansion across defined territories, owning the full sales cycle from first touch to close, running proofs of concept and demos, building a disciplined pipeline, and translating market and customer feedback into product and GTM improvements while staying current on industry trends and the product roadmap.

DX is a fast-growing SaaS company based in Salt Lake City that helps engineering leaders build high-performing, productive teams. It collects millions of data points daily to power insights into developer productivity and experience for customers like Pinterest, GitHub, BNY, and Xero. The company has scaled profitably, tripling annual recurring revenue in recent years, and recently closed an acquisition by Atlassian. By joining Atlassian, DX aims to expand resources, accelerate growth and R&D, and deliver greater impact to customers. DX emphasizes individual mastery, and its sales roles involve owning the full cycle from prospecting to close, running proofs of concepts and demos, building a disciplined pipeline, guiding buyers through complex evaluations, and feeding market feedback into product and GTM while staying current on industry trends.

- Atlassian offers flexible work options—office, remote, or a hybrid setup—and hires in any country where it has a legal entity. - The culture centers on collaboration and a "play as a team" mindset, with support, shared wins, and knowledge sharing; employees work with Atlassian, not for it. - The role is a specialist pre-sales expert for the Strategy Collection, with deep focus on Focus, Talent, Align, and Goals & Projects. - You will partner with Account Executives and sales teams to lead customer discovery, understand current-state planning and execution challenges, and architect solutions on the Atlassian platform, delivering value-based demos for executives and transformation leaders. - You’ll identify cross-product expansion opportunities, capture customer feedback and market intelligence, and feed insights back to product, marketing, and enablement to shape the Strategy Collection’s evolution.

Atlassian offers flexible work options—office, remote, or a hybrid—so employees can balance family, personal goals, and other priorities. They can hire people in any country where Atlassian has a legal entity, and their unique value is "play as a team," meaning they support one another, celebrate wins, and share knowledge. Our employees work with Atlassian, not for Atlassian. The role described is a specialist pre-sales expert for Atlassian’s Strategy Collection solutions, with deep focus on the Focus, Talent, Align, and Goals & Projects portfolios. Responsibilities include partnering with account teams to lead customer discovery and architect solutions on the Atlassian platform, delivering compelling value-based demonstrations, identifying cross-product expansion opportunities, and capturing feedback and market intelligence to inform product, marketing, and enablement.

Atlassians can work from an office, from home, or a mix, giving them control to support family, personal goals, and other priorities. The company hires in any country where it has a legal entity and emphasizes its value of “play as a team”—supporting one another, celebrating wins, and sharing knowledge. Employees work with Atlassian, not for Atlassian, reflecting a collaborative culture. The role described is a specialist pre-sales expert for Strategy Collection solutions, with depth in Focus, Talent, Align, and Goals & Projects, partnering with account teams to discover customer needs and architect solutions on the Atlassian platform. Responsibilities include leading value-based demonstrations that connect strategy to execution, identifying cross-product expansion opportunities, and capturing feedback to inform product, marketing, and enablement teams to evolve the Strategy Collection business.

Atlassian supports flexible work options, allowing employees to work in an office, from home, or in a hybrid arrangement to better balance family, personal goals, and priorities. The company hires people in any country where it has a legal entity. Atlassian emphasizes a "play as a team" value, focusing on supporting one another, celebrating wins together, and sharing knowledge, with employees working with Atlassian rather than for it. The role is a specialist pre-sales expert for Atlassian’s Strategy Collection solutions, with deep expertise across the Focus, Talent, Align, Goals, and Projects portfolios. Responsibilities include partnering with Account Executives and other teams to discover customer needs, architect solutions on the Atlassian platform, deliver value-based demonstrations, identify cross-product opportunities, and capture feedback to inform product, marketing, and enablement teams to shape the Strategy Collection business.

Atlassian offers flexible work options—office, remote, or a mix—and hires in any country with a legal entity. The culture centers on the value of “play as a team,” where colleagues support one another, celebrate wins, and share knowledge, and employees work with Atlassian, not for Atlassian. The role described is a specialist pre-sales expert for the Strategy Collection solutions, with deep expertise across Focus, Talent, Align, and Goals & Projects. They collaborate with Account Executives and broader account teams to discover customer needs, understand current-state planning and execution challenges, and architect Atlassian-based solutions, while leading value-based demonstrations for executives and transformation leaders. They also identify cross-product expansion opportunities, anchor organizations in the System of Work, and relay customer feedback, market insights, and competitive intelligence to product, marketing, and enablement teams to shape the Strategy Collection business.

- Atlassian lets employees work anywhere—office, home, or a mix—and hires people in any country where it has a legal entity. - The company emphasizes a collaborative “play as a team” culture, supporting one another and sharing knowledge, with employees working with Atlassian rather than merely for it. - The role is a specialist pre-sales expert for Atlassian’s Strategy Collection, with deep focus on Focus, Talent, Align, and Goals & Projects. - Responsibilities include partnering with Account Executives and broader account teams to discover customer needs, architect solutions on the Atlassian platform, and deliver value-based demonstrations tied to strategy and execution across the System of Work. - They also identify cross-product expansion opportunities and channel customer feedback and market intelligence back to product, marketing, and enablement teams to shape the Strategy Collection.

Atlassian offers flexibility and a distributed-first model, allowing work from office, home, or a mix, and hires globally wherever there is a legal entity, with interviews and onboarding conducted virtually. The company is seeking an exceptional Solutions Engineer who will collaborate with the enterprise sales team and regional channel partners to understand customer needs, strategize around scenarios, deliver compelling demonstrations, and drive enterprise deals to closure. With more than 300,000 customers worldwide—including NASA, IBM, HubSpot, Samsung, and Coca‑Cola—Atlassian emphasizes value selling and a team-based culture where employees work with Atlassian, not for Atlassian. The role offers high earnings potential with enterprise white space opportunities, selling impactful products at the forefront of cloud and artificial intelligence utilization. Key responsibilities include strategic technical engagement, opportunity identification, technical problem solving, product expertise, value-driven demonstrations, technical sales leadership, sales collaboration, and customer advocacy to influence product improvements.

At Atlassian, work is flexible and distributed-first, with options to work in an office, from home, or a mix, and the company hires in any country where it has a legal entity; interviews and onboarding are conducted virtually. They are seeking an exceptional Solutions Engineer to tackle complex enterprise challenges, collaborating with the enterprise sales team and regional channel partners to understand customer needs, strategize, deliver compelling demonstrations, and drive deals to closure. The role aims to ensure their solutions meet client demands, contribute to customer success, and fuel Atlassian’s growth. The team serves over 300,000 customers, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, and emphasizes value selling and a culture of teamwork, with high earnings potential and opportunities in cloud and AI. Key responsibilities include strategic technical engagement, identifying cross-product opportunities, solving client problems, acting as a product expert, delivering value-driven demonstrations, providing technical sales leadership, collaborating with sales, and gathering customer feedback to influence product improvements.

Atlassian offers flexible work options—office, from home, or a combination—allowing employees to balance family, personal goals, and other priorities, and it hires in any country where it has a legal entity. The role includes Executive Engagement & Trusted Advisor work, building trusted relationships with C-suite and senior executives to position Atlassian as a strategic partner in digital and AI transformation journeys. It emphasizes Outcome-Driven Success by accelerating product adoption and delivering verifiable business outcomes, with measurable value realization and expansion across global teams. Strategic Success Planning involves leading Customer Success Plans with regular check-ins, QBRs, and strategic planning to drive adoption, retention, and expansion, alongside Complex Program Leadership and AI & Emerging Tech Enablement to guide multi-partner transformations. The responsibilities also cover Risk Mitigation, acting as the Voice of the Customer to provide actionable feedback, and Cross-Functional Collaboration with sales, product, support, and advisory services to deliver a seamless customer experience and maximize business value.

Atlassian offers flexible work options—office, remote, or hybrid—and hires globally where it has a legal entity, supporting diverse personal priorities. The role includes Executive Engagement & Trusted Advisor work, building trusted relationships with C-suite and senior executives to position Atlassian as a strategic partner in their digital and AI transformation journeys. Outcome-Driven Success focuses on accelerating product adoption and delivering measurable business outcomes across global teams, with value realization and expansion as targets. Strategic Success Planning and Complex Program Leadership involve creating and executing Customer Success Plans, guiding complex implementations with multiple partners, and advising on AI and emerging technologies, including usage-based pricing. Risk mitigation, Voice of the Customer, and Cross-Functional Collaboration ensure proactive issue resolution, internal advocacy for customers, and close alignment across sales, product, support, and advisory services to maximize value.

Atlassian offers flexible work locations (office, remote, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of a distributed-first approach. They are seeking an exceptional Solutions Engineer who will work with the enterprise sales team and regional channel partners to understand customer needs, strategize, deliver compelling demonstrations, and drive enterprise deals. This role ensures Atlassian’s solutions meet client demands, contributing to customer success and the company’s growth. The team profile notes over 300,000 customers, including NASA, IBM, HubSpot, Samsung, and Coca-Cola, emphasizes value selling and the culture of “play as a team” where employees work with, not for, Atlassian, and highlights opportunities in cloud and AI with high earnings potential. Key responsibilities include strategic technical engagement, identifying cross-product opportunities, technical problem solving, product expertise, value-driven demonstrations, technical sales leadership, sales collaboration, and customer advocacy, all to map customer challenges to Atlassian’s value propositions and solutions.

- Atlassian offers flexible work locations (office, home, or hybrid) and hires globally where it has a legal entity, with virtual interviews and onboarding as part of being a distributed-first company. - They are seeking an exceptional Solutions Engineer who collaborates with enterprise sales and regional channel partners to understand customers' needs, strategize how to address them, deliver compelling demos, and drive enterprise deals. - The role aims to ensure Atlassian's solutions meet client demands, contributing to customer success and the company's growth, within a culture of teamwork and support—“play as a team”—where employees work with Atlassian, not for it. - The team serves over 300,000 customers, including NASA, IBM, Hubspot, Samsung, and Coca-Cola, focusing on value selling and combining products into enterprise solutions that transform outcomes, with opportunities in cloud and artificial intelligence. - Responsibilities include strategic technical engagement, identifying cross-product opportunities, technical problem solving, product expertise, value-driven demonstrations, technical sales leadership, sales collaboration, and customer advocacy to share feedback with product teams.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires people in any country where they have a legal entity. Atlassian India embodies the mission to unleash the potential of every team, with Jira, Confluence, and Bitbucket, and operates an office in Bengaluru with remote options across India under the “TEAM anywhere” framework. The Jira Platform future organization aims to turn Jira into the trusted system of record and control plane for enterprise‑scale human and agent teamwork through AI transformation, enterprise readiness, and efficiency. The Jira Data Management team, comprising over 50 engineers plus product managers and designers, focuses on data transfer and management within Jira Cloud, offering migration paths (Data Center to Cloud, Cloud to Cloud, External to Cloud) and data‑shape management to support cloud offerings and Site Optimizer, with an emphasis on reliability and performance. A P70 engineer in this organization will own the long‑term architecture of Jira Data Management, drive a 12–24 month roadmap, raise standards for reliability, security, and operability, and provide hands‑on technical leadership through design reviews and incident handling.

- Atlassian offers flexible work options—office, home, or hybrid—and hires anywhere with a legal entity, with a Bengaluru office and remote options for eligible candidates in India under “TEAM anywhere.” - Atlassian India's mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket, and a vision that emphasizes how work impacts humanity. - The Future Org centers on Jira Platform as the trusted system of record and control plane for enterprise-scale human and agent teamwork, driven by AI transformation, enterprise readiness, and efficiency. - The Jira Data Management team, over 50 engineers strong, enables data transfer and management within Jira Cloud and provides data migration paths (Data Center to Cloud, Cloud to Cloud, External to Cloud) along with data-shape management for offerings like Site Optimizer, aiming for reliability and scalability. - Responsibilities include owning the long-term architecture of Jira Data Management, leading major architectural initiatives across Jira Platform, defining a 12–24 month roadmap, and mentoring senior engineers while raising standards for reliability, performance, security, and operational excellence.

Atlassian offers flexible work locations—office, home, or a hybrid—plus hiring in any country where the company has a legal entity. The role is Principal ML System Engineer in the Rovo & AI Engineering org, focused on Rovo Chat as Atlassian’s fastest-growing area. You will deliver bleeding-edge innovations, build agent harnesses to improve quality, reliability, and latency, and potentially lead other engineers from design to launch. You’ll collaborate with other teams and internal customers to set expectations, gather input, and communicate results, with a broader aim of realizing AI’s transformative potential across offerings. The Rovo & AI team’s mission is to make Rovo the fastest, most trusted way for teams to find, understand, and act on knowledge, and the product surface has grown 10x over the last year as a result.

Atlassians can choose where they work—in an office, from home, or a combination—giving them more control over family, personal goals, and priorities. Atlassian can hire people in any country where they have a legal entity. As a Principal ML System Engineer in the Rovo & AI Engineering org, you’ll contribute to Rovo Chat by bringing bleeding-edge innovations and building agent harnesses that improve quality, reliability, and latency. You’ll have the opportunity to lead other engineers through technical design to launch and collaborate with other teams and internal customers to set expectations and communicate results, with the role being pivotal in realizing AI’s transformative potential across 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 the product surface growing rapidly and showing 10x growth over the last year.

This role is available remotely anywhere in the UK, with Atlassians able to choose office, home, or hybrid work arrangements to support personal priorities, and the company hires people in any country where it has a legal entity. As a Principal Forward Deployed Engineer (FDE), you'll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver AI-powered solutions, with the FDE team partnering with top organizations to help them leverage Atlassian’s AI capabilities. You will lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, and architect and implement robust application integrations using Python, JavaScript, or similar languages with a focus on APIs, microservices, and enterprise-scale systems. You will drive data-driven solution development by analyzing complex datasets to extract insights, champion AI-augmented workflow automation to maximize business value, oversee end-to-end deployment into production, and navigate risk and compliance including GDPR. You will mentor junior engineers, communicate complex technical concepts clearly to technical and non-technical stakeholders, and align technical solutions with business objectives to set a clear vision for progress and measurable results.

This role is remote anywhere in the UK, and Atlassian supports flexible working and hires in any country where it has a legal entity. As a Principal Forward Deployed Engineer (FDE), you'll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and collaborating with product, engineering, and design. You will lead the design, development, and deployment of AI/ML solutions, architect robust integrations using languages like Python or JavaScript, and drive data-driven product direction. Responsibilities include championing AI-augmented workflow automation, end-to-end production deployment with ongoing evaluation, and navigating AI risk, data privacy (GDPR), and regulatory compliance, while mentoring junior engineers and communicating to stakeholders. The role requires aligning technical solutions with business objectives, setting a clear vision, and delivering measurable results for enterprise-scale systems.

This role is remote anywhere in Poland, and Atlassian supports flexible work arrangements, hiring in any country with a legal entity to help employees balance family, personal goals, and priorities. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, working with customers and cross-functional teams to deliver AI-powered solutions and collaborating with product, engineering, and design to grow your technical and domain expertise while making a tangible business impact. This is a high-visibility, high-impact role for those who thrive in fast-paced, ambiguous environments and are passionate about shaping the future of AI-powered teamwork. You will lead the design, development, and deployment of AI/ML solutions, architect and implement robust integrations using Python or JavaScript with a focus on APIs, microservices, and enterprise-scale systems, and drive data-driven insights to inform product direction. You will oversee end-to-end production deployment with continuous evaluation and monitoring, navigate AI risk and data privacy (GDPR) and regulatory requirements, mentor junior engineers, and communicate complex technical concepts to stakeholders while aligning solutions with business objectives and setting a clear technical vision.

This role is remote anywhere in Poland, and Atlassian supports flexible work locations and hires in any country where it has a legal entity. As a Principal Forward Deployed Engineer (FDE), you’ll work directly with customers and cross-functional teams to deliver AI-powered solutions, collaborating with product, engineering, and design to grow your technical and domain expertise while making a tangible business impact. The FDE team partners with top organizations across industries to help them leverage Atlassian’s AI capabilities to solve complex, real-world problems, making this a high-visibility, high-impact role in fast-paced, ambiguous environments. You’ll lead the design, development, and deployment of AI/ML-powered solutions, architect and implement robust integrations using Python or JavaScript for enterprise systems, drive data-driven solution development, promote AI-augmented workflow automation, and oversee end-to-end production deployment with ongoing evaluation. You’ll navigate AI risk and data privacy (GDPR) and regulatory requirements, mentor junior engineers, and clearly communicate technical concepts to technical and non-technical stakeholders while aligning solutions with business objectives.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country where it has a legal entity. The role focuses on leading an enterprise sales team to meet revenue targets and develop strategic plans to expand market share. Responsibilities include mentoring the sales team, setting performance goals and metrics, recruiting and onboarding new members, and providing ongoing coaching. The position also requires cross-functional collaboration with Channel Partners, Product Specialists, Account Managers, and Solution Engineers to streamline sales processes, analyze data and market trends, identify growth opportunities, and conduct regular performance evaluations. Additionally, the role involves managing key client relationships, participating in high-level negotiations, delivering updates to senior management, and staying informed about industry trends and competitors.

Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where it has a legal entity. The role focuses on leading and managing an enterprise sales team to meet revenue targets and expand market share, with strategic plans and initiatives to penetrate the market. Responsibilities include mentorship and coaching, setting performance goals and metrics, recruiting and onboarding new sales hires, and monitoring progress. The position requires collaboration with internal teams such as Channel Partners, Product Specialists, Account Managers, and Solution Engineers to streamline sales processes and improve customer satisfaction. Additional duties involve analyzing sales data and market trends, conducting performance evaluations, managing key client relationships and negotiations, providing regular updates to senior management, and staying informed on industry trends and competitors in the enterprise segment.

Atlassian's mission is to unleash the potential of every team, with products like Jira, Confluence, and Bitbucket that support collaboration and empower teams to achieve ambitious outcomes, including NASA's Mars Rover and Cochlear's hearing devices. The Central AI Org drives AI innovation across Atlassian, aiming to deliver seamless AI experiences and robust infrastructure, including a centralized Search, Q&A, and Conversational AI system, while exploring AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI/ML by building productive, reliable tools for developing, deploying, measuring, and operating AI experiences, integrated with the Atlassian Data Platform and aligned with security and data-use policies. In the Senior Machine Learning System Engineer role, you'll help build the core infrastructure that enables Jira, Confluence, and other teams to create, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams and fine-tuning LLMs as needed. You will lead projects from design to launch, deliver cutting-edge AI features used by millions, perform code reviews and documentation, partner on company-wide initiatives, and mentor junior engineers.

Atlassian’s mission is to unleash the potential of every team, with well-known products like Jira, Confluence, and Bitbucket that power collaboration across diverse teams and industries, as illustrated by examples like NASA’s Mars Rover and Cochlear. The role sits in the Central AI Org, specifically the AI & ML Platform team, which is dedicated to driving AI innovation across Atlassian products and building a robust AI infrastructure for the future. The Central AI Org aims to develop horizontal AI capabilities, establish a centralized Search, Q&A, and Conversational AI system, and explore integrating Atlassian products with AI solutions beyond the Atlassian ecosystem. The AI & ML Platform Team’s goal is to democratize AI and ML for Atlassian’s teams, customers, and ecosystem by delivering productive, reliable tools that integrate with the Atlassian Data Platform and adhere to security and data usage policies. As a Senior Machine Learning System Engineer, you will develop and refine core infrastructure to enable engineers and data scientists to create, train, evaluate, deploy, and manage ML models, collaborate with Jira and Confluence teams, curate high-quality datasets, fine-tune LLMs (open-source or proprietary), lead projects from design to launch, deliver scalable AI features, perform code reviews and documentation, and mentor junior team members.

Atlassian's mission is to unleash the potential of every team, with collaboration products like Jira, Confluence, and Bitbucket that power teamwork and help teams succeed worldwide. The role is in the Central AI Org, specifically the AI & ML Platform team, which drives AI innovation across Atlassian products and aims to deliver seamless AI experiences and a robust AI infrastructure, including a centralized search, Q&A, and conversational AI system. The AI & ML Platform Team seeks to democratize AI and ML by building horizontal capabilities and integrating with the Atlassian Data Platform so teams can develop, deploy, measure, and operate AI/ML experiences securely. As a Senior Machine Learning System Engineer, you'll develop core infrastructure enabling engineers and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence and tackling datasets and LLM fine-tuning. You will lead projects from design to launch and deliver solutions used across Atlassian, perform code reviews and documentation, collaborate on company-wide initiatives, and mentor junior team members.

Atlassian’s mission is to unleash the potential of every team, with well-known collaboration tools like Jira, Confluence, and Bitbucket that support teamwork across diverse groups and even power achievements such as NASA’s Mars Rover and Cochlear’s hearing solutions. The role sits in the Central AI Org, specifically the AI & ML Platform Team, which aims to build horizontal AI capabilities, establish a centralized Search/Q&A/Conversational AI system, and explore AI integration beyond the Atlassian ecosystem. The AI & ML Platform Team seeks to democratize AI for Atlassian’s teams, customers, and ecosystem by delivering productive and reliable tools that enable development, deployment, measurement, and operation of AI/ML experiences that integrate with the Atlassian Data Platform while adhering to security and data usage policies. Atlassian offers flexible work arrangements—office, remote, or hybrid—and hires in any country where it has a legal entity. As a Senior Machine Learning System Engineer, you will develop and refine core infrastructure to empower engineers, ML engineers, and data scientists to build and manage ML models and pipelines, collaborate with product teams like Jira and Confluence, curate datasets and fine-tune LLMs, lead projects from design to launch, deliver solutions used by millions, perform code reviews and documentation, partner across teams on company-wide initiatives, and mentor junior engineers.

Atlassian's mission is to unleash the potential of every team, with widely used products like Jira, Confluence, and Bitbucket that enable collaboration across diverse teams and even power real-world breakthroughs such as NASA's Mars Rover and Cochlear's hearing solutions. The company’s Central AI Org focuses on driving AI innovation, delivering seamless AI experiences, and building a robust Atlassian AI infrastructure, including horizontal AI capabilities and a centralized Search, Q&A, and Conversational AI system that can integrate with all Atlassian products. The AI & ML Platform Team aims to democratize AI/ML by creating productive, reliable tools for development, deployment, measurement, and operation of AI/ML experiences, designed to integrate with the Atlassian Data Platform while adhering to security and data usage policies. As a Senior Machine Learning System Engineer, you will help develop and refine core infrastructure enabling engineers, ML engineers, and data scientists to build, train, evaluate, deploy, and manage ML models and pipelines, collaborating with product teams like Jira and Confluence and working with datasets and LLMs. You will lead projects from technical design to launch, deliver solutions used by millions, perform code reviews and documentation, partner across teams on company-wide initiatives, mentor junior teammates, and enjoy flexible work location options across countries where Atlassian has a legal entity.

At Atlassian, the mission is to reinvent the customer experience and the company has built a multi-billion-dollar, fast-growing business by converting free trials into happy customers. The Sales Operations Analyst role is integral, working with Sales Ops teams, the sales field, and other supporting organizations to optimize customer engagements both internally and externally. The role blends centralized scale with high-touch support, managing centralized ticket requests across general or topic-specific areas and collaborating with select SOM teams to support SDR and SE groups. The primary goal is mastering centralized ticket resolution, ensuring policy compliance, meeting SLAs, and maintaining accurate data, with a secondary focus on automating day-to-day operations for supporting teams. The ideal candidate thrives in a fast-paced SaaS environment, is highly analytical, excels at aggregating and automating large datasets, and can present insights clearly to leadership, with responsibilities including being the first responder on tickets, identifying bottlenecks, delivering analytics, and supporting Shared Services initiatives.

At Atlassian, the mission is to reinvent the customer experience and build a fast-growing, multi-billion-dollar business by converting free trials into happy customers, and the Sales Operations Analyst role is central to that effort. You will work with Sales Ops, the sales field, and other supporting organizations to optimize customer engagements both internally and externally, blending centralized scale with high-touch support. Primary duties include serving as the first responder for centralized tickets, resolving within SLAs, ensuring policy compliance and data accuracy, and partnering with SOM teams to boost SDR and SE productivity. The ideal candidate thrives in a fast-paced SaaS environment, is highly analytical, enjoys aggregating and automating large datasets, and can present insights clearly to leadership. Secondary responsibilities involve automating day-to-day operations, delivering operational analytics on SLA compliance and ticket trends, and supporting Shared Services initiatives and cross-functional GTM projects.

Atlassian aims to reinvent the customer experience and has built a fast-growing, multi-billion-dollar business by converting free trials into happy customers, with the Sales Operations Analyst role being integral to that effort. You will work with Sales Ops teams, the sales field, and other supporting organizations to optimize customer engagements both internally and externally, blending centralized scale with high-touch support. The role involves managing centralized ticket requests across general or topic-specific areas and aligning with select Sales Operations Manager teams to champion specialized functions across SSE and AM teams to boost SOM and field productivity. The primary goal is to master centralized ticket resolution, ensure compliance with policies, deliver on SLAs, and maintain accurate data in systems of record; secondarily, you will partner to optimize and automate day-to-day operations for SSE and AM roles. The ideal candidate thrives in a fast-paced SaaS environment, is analytically sharp, enjoys aggregating and automating large datasets, and can present insights clearly to leadership; you will be the first responder on tickets, identify bottlenecks, architect scalable solutions, deliver operational analytics, and support broader Shared Services initiatives.

At Atlassian, the mission is to reinvent the customer experience and grow by turning free trials into happy customers, and the Sales Operations Analyst role is integral to that effort. The role works with Sales Ops teams, the sales field, and other supporting organizations to optimize customer engagements, blending centralized scale with high-touch support, and will manage centralized ticket requests across general or topic-specific areas. The primary goal is to master centralized ticket resolution, ensure compliance with published policies, deliver on SLAs, and maintain accurate data in systems of record, while partnering with select SOM teams to optimize SOM and field productivity across SSE and AM groups. The ideal candidate thrives in a fast-paced SaaS environment, is highly analytical, enjoys aggregating and automating large datasets, and can present insights clearly to leadership, with a passion for working with Sales Ops and sales teams and ensuring data integrity and process adherence. You will also deliver operational analytics and reporting to monitor SLA compliance and ticket trends, identify bottlenecks, architect scalable solutions, and support broader Shared Services initiatives and cross-functional GTM projects.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires in any country where it has a legal entity. The company is building narrative authority in AI, aiming to shape how the market understands AI for teams, and this role centers on turning real product and AI insight into distinctive, sustained executive social presence. Reporting to the Editorial & Executive lead, you’ll partner with social media, product marketing, communications, and senior executives to develop credible, timely social content. The role requires deep technical understanding to translate complex AI and product concepts into content that engages engineers, founders, and enterprise buyers, leveraging Atlassian’s meaningful product depth and authentic executive participation. Responsibilities include shaping executive voice, monitoring the AI zeitgeist, converting insight into posts, establishing a repeatable cadence, advising on participation, collaborating cross-functionally, and measuring performance to refine the approach.

Atlassian offers flexible work arrangements and can hire people in any country where it has a legal entity. The company is building narrative authority in AI for teams, and this role centers on turning real product and AI insight into a distinctive executive social presence. Reporting to the Editorial & Executive lead, the role collaborates with social media, product marketing, communications, and senior executives to develop credible, timely social content. It sits at the intersection of AI fluency, executive voice, and social platform craft, with the aim of creating a sustained social voice that resonates with engineers, founders, and enterprise buyers. Key duties include shaping executive social voice, tracking AI zeitgeist, translating insights into content, establishing cadence, advising on participation, partnering cross-functionally, and measuring performance to sharpen the approach over time.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where it has a legal entity, grounded in the value of "play as a team." The culture emphasizes supporting one another, celebrating wins together, and sharing knowledge, with employees working with Atlassian, not for Atlassian. The role partners with direct sales, partners, and larger account teams on Fortune 500 customers to map the customer profile, business problems, roadmaps, and solution success to optimize the account. Responsibilities include customer discovery, identifying cross-product opportunities, becoming a product expert in pre-sales, and leading value-based demonstrations that show how Atlassian products work together. Additional expectations are forging strong partnerships with account executives, documenting product feedback and competitive intelligence for product management, and continuously learning to refine pre-sales and product knowledge and sales processes.

Atlassian offers flexible work options—office, home, or hybrid—so employees can balance family, personal goals, and other priorities, and they hire in any country where they have a legal entity. They emphasize the value of "play as a team," supporting one another, celebrating wins together, and sharing knowledge, with employees working with Atlassian, not just for Atlassian. The role partners with direct sales, partners, and larger account teams on Fortune 500 customers to track the customer profile, business problems, roadmaps, and solution success to optimize the customers within your account team territory. Responsibilities include customer discovery to understand current state and problems, mapping them to Atlassian products and solutions, identifying opportunities for cross-product expansion, and leading value-based demonstrations in the pre-sales process. The position also requires understanding technical needs, forging partnerships with aligned account executives, documenting product feedback and competitive intelligence for product management, and continuously learning and refining pre-sales, product, solution, and sales process knowledge.

At Atlassian, you can work in an office, from home, or a combination, giving you flexibility to support your family and personal goals. We hire people in any country where we have a legal entity and we live by the value of 'play as a team,' supporting one another, celebrating wins, and sharing knowledge. Responsibilities include partnering with direct sales, partners, and larger account teams on Fortune 500 customers to track the customer profile, business problems, roadmaps, and solution success to optimize the accounts within your territory. You will participate in customer discovery, map business needs to Atlassian products and solutions, identify cross‑product opportunities, and articulate a broad understanding of the product portfolio during the pre‑sales process. In addition, you will lead compelling value‑based demonstrations, understand customer technical needs to gain buy‑in, forge partnerships with aligned account executives, document product feedback and competitive intelligence, and continuously learn to refine your knowledge and sales processes.

Atlassian offers flexible work locations—office, remote, or hybrid—and hires in any country where it has a legal entity. The company emphasizes its value of "play as a team," supporting one another, celebrating wins, and sharing knowledge, with employees working with Atlassian, not for Atlassian. In the responsibilities, the role partners with direct sales, partners, and large account teams on Fortune 500 customers to map customer profiles, problems, roadmaps, and solution success to optimize outcomes. It requires customer discovery, identifying cross-product opportunities, being a product expert in pre-sales, and delivering value-based demonstrations to show how Atlassian products enable new ways of working. It also involves guiding customers' technical needs, building strong partnerships with account executives, collecting and sharing product feedback and competitive intelligence, and continuously learning about Atlassian products and sales processes.

Atlassian offers flexible work locations—office, home, or a hybrid—allowing employees to support family, personal goals, and priorities, and the company hires globally where it has a legal entity. It emphasizes a “play as a team” culture, where people support one another and share knowledge, and notes that employees work with Atlassian, not for Atlassian. The responsibilities describe a pre-sales role that partners with direct sales, partners, and large account teams on Fortune 500 customers to understand profiles, business problems, roadmaps, and solution success to optimize within the account. The role involves customer discovery, mapping business problems to Atlassian products, identifying cross-product opportunities, and leading value-based demonstrations to show how the software can transform the customer’s work. It also requires guiding technical needs, forging strong partnerships with account executives, documenting product feedback and competitive intelligence, and continuously learning to advance pre-sales, product, solution, and platform knowledge.

Atlassians have flexibility in where they work—office, home, or a combination—and the company hires in any country with a legal entity, with interviews and onboarding conducted virtually as part of being distributed-first. As Head of Forward Deployed Engineering EMEA, you will be at the forefront of applied AI, collaborating with customers and cross-functional teams to deliver AI-powered solutions and working with product, engineering, and design to grow technical and domain expertise while making a tangible business impact in a high-visibility, fast-paced environment. You will hire, onboard, and retain top talent, fostering a culture of innovation, collaboration, and excellence, and mentor your team on best practices in AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation for rapid, production-ready delivery. You will drive data-driven solution development by analyzing complex datasets to inform product direction, champion AI-augmented workflow automation to maximize value and efficiency, oversee end-to-end deployment into production with ongoing evaluation and improvement, and navigate risk and compliance including AI risk assessment, GDPR data privacy, and regulatory frameworks. You will communicate complex technical concepts clearly to both technical and non-technical stakeholders and align technical solutions with business objectives by setting a clear vision for technological progress and measurable results.

Atlassian offers flexibility in where you work—office, home, or a hybrid setup—and hires globally with virtual interviews and onboarding as part of a distributed-first approach. The Head of Forward Deployed Engineering EMEA leads applied AI initiatives, working with customers and cross-functional teams to deliver AI-powered solutions. The FDE team collaborates with top organizations to leverage Atlassian’s AI to solve real-world problems, helping you grow technical and domain expertise while delivering measurable business impact. Responsibilities include hiring, onboarding, mentoring on AI/ML solution design, code quality, scalable architecture, testing, debugging, and documentation to ensure rapid, production-ready delivery. The role also drives data-driven solution development, champions AI-augmented workflow automation, oversees end-to-end deployment, manages AI risk and data privacy compliance, and communicates complex concepts clearly to align with business objectives and set a vision for progress.

Atlassian supports flexible work locations and hires internationally where there is a legal entity; this role sits in the Customer Success Architect team focusing on adopting Atlassian’s AI platform, Rovo. As a CSA (AI), you will run time-boxed, co-built technical engagements to move customers from “Rovo is turned on” to real, measurable business value, partnering with enterprise teams to identify high-impact AI use cases, design and build custom Rovo agents, configure third-party connectors, and deploy production-ready solutions. The role blends deep AI and Atlassian platform expertise with customer success, focusing on measurable adoption outcomes, managing engagements, enabling customers, and continuously improving processes for satisfaction and efficiency. Atlassian CSAs are non-managerial technical experts who deliver guidance at scale, align product capabilities with business needs, and collaborate with Pre-Sales, Post-Sales, and Product teams to provide solutions and drive adoption, while helping showcase customer successes and expand AI adoption into new use cases and markets. On day one, you’ll participate in discovery workshops, co-build custom Rovo agents and connectors with customer teams, guide deployment from sandbox to production, collaborate with Account Teams and CSMs on activation journeys, advocate with Rovo Product/Engineering/AI to surface friction, and travel up to 15% domestically and internationally; the position is UK-based.

Atlassian supports flexible work arrangements—office, home, or a hybrid—so employees can balance personal priorities, and they hire people in any country where they have a legal entity. The role is a UK-based Customer Success Architect (AI) focused on adopting Atlassian's AI platform, Rovo, delivering time-boxed, co-built engagements that realize measurable business value in production. You’ll partner with enterprise teams to identify high-impact AI use cases, design and build custom Rovo agents, configure third-party connectors, and deploy solutions into production workflows, bridging AI and Atlassian platform expertise with customer success. The role is non-managerial; CSAs are technical experts who provide guidance to drive value realization and adoption, collaborating with Pre-Sales, Post-Sales, and Product to align capabilities with outcomes and expand AI adoption. On day one, expect discovery, design, deployment, collaboration, and advocacy activities; you’ll travel up to 15% domestically and internationally for events and customer meetings, and the position is UK-based.

DX is a fast-growing SaaS company headquartered in Salt Lake City that helps engineering leaders build high-performing, productive teams and is hiring remotely from the UK. DX collects millions of data points daily, powering insights into developer productivity and experience for companies like Pinterest, GitHub, BNY, and Xero. The business has scaled profitably, tripling annual recurring revenue in recent years, and DX recently closed an acquisition by Atlassian, which will expand resources, accelerate growth and R&D, and deliver greater impact to customers. The role involves prospecting, qualifying, and closing new opportunities across defined territories, owning the full sales cycle from first touch to close, running proofs of concept and demos, and building a disciplined pipeline with accurate forecasting. Ideal candidates love winning, are self-motivated and resourceful, thrive with autonomy and rapid change, take ownership of outcomes, are continuous learners who seek feedback, and communicate clearly with engineers, executives, or influencers while maintaining a bias for action.

The role is remote from the UK for DX, a Salt Lake City-based, fast-growing SaaS company that provides data-driven insights into developer productivity for customers such as Pinterest, GitHub, and Xero, and which recently closed an acquisition by Atlassian to accelerate growth and R&D. DX has scaled profitably, tripling annual recurring revenue in recent years, and joining Atlassian aims to expand resources and impact for customers. At DX, the core value is mastery—performing at the highest level and continually getting better at your craft, with outcomes not entirely within control but effort and performance being the focus. You’ll prospect, qualify, and close net-new opportunities across defined territories, own the full sales cycle, run proofs of concept and business cases, build a disciplined pipeline, and guide buyers through complex evaluations. The ideal candidate loves winning, builds repeatable processes, is self-motivated and adaptable to rapid change, takes ownership of outcomes, is a continuous learner, communicates with impact, and balances bias for action with diligence.

DX, a fast-growing SaaS company headquartered in Salt Lake City that was recently acquired by Atlassian, is hiring remotely from the UK. DX collects millions of data points daily to power insights into developer productivity for customers like Pinterest, GitHub, BNY, and Xero. Joining Atlassian will expand resources, accelerate growth and R&D, and deliver greater impact to customers. DX emphasizes individual mastery—thriving by becoming the best at your craft—and acknowledges that outcomes are influenced by factors beyond the team and the company’s control. The role involves prospecting, qualifying, and closing new opportunities across defined territories, owning the full sales cycle, running proofs of concept and demos, building a strong, disciplined pipeline, and feeding market feedback into product and GTM improvements; the ideal candidate is competitive, self-motivated, adaptable to rapid change, takes ownership, learns continuously, and communicates clearly with engineers, executives, and other stakeholders.

At Atlassian, you can work in an office, from home, or in a hybrid arrangement, and the company hires in any country where it has a legal entity, giving you control over family, personal goals, and priorities. The Principal Enterprise Delivery Manager leads Atlassian’s largest and most complex cloud migrations as the primary stakeholder, acting as a strategic advisor and technical consultant to senior customer decision-makers while coordinating with Sales, Solutions, Support, Product Management, Channel Partners, and Engineering. The role requires business acumen and technical fluency, with expertise in developing customer cloud strategies and enabling adoption of cloud features including AI, and an understanding of data movement, system integration, and migration outcomes. Key responsibilities include end-to-end migration strategy, risk readiness assessments and remediation, technical architecture around APIs/webhooks/automation, trusted advisory to executives, and governing the migration lifecycle from discovery to go-live with measurable outcomes. Additional expectations cover driving accountability, stakeholder communications, escalation management, team leadership and enablement, maintaining a data-driven consultative mindset, staying ahead of industry trends, and proposing innovative solutions to business challenges.

Atlassian offers flexible work locations and hires globally wherever there is a legal entity. The Principal Enterprise Delivery Manager role is to guide Atlassian’s largest and most complex customers through their transition to the cloud, serving as a strategic advisor and technical consultant and coordinating with Sales, Solutions, Support, Product Management, Channel Partners, and Engineering. It requires business acumen and technical fluency, with proven expertise in developing cloud strategies and enabling adoption of cloud features (including AI), and an understanding of how data moves, how systems integrate, and what makes migrations succeed or fail. Responsibilities include leading end-to-end migration strategy, risk management through readiness assessments and remediation, technical architecture around APIs and automation, acting as a trusted advisor to senior leadership, governing the migration lifecycle with cross-functional teams, driving accountability and stakeholder communications, managing escalations, and leading team enablement and training. The role emphasizes a consultative, data-driven mindset and staying ahead of industry trends to propose innovative solutions for Atlassian’s most strategic customers.

Atlassian supports flexible work locations (office, home, or hybrid) and hires globally wherever it has a legal entity. The Advisory Services Public Sector team is a globally distributed group of Atlassian experts focused on customer success for large enterprises, providing trusted advisors to maximize value from Atlassian investments. The Solution Consultant role is an individual contributor who delivers technical guidance, aligns product capabilities with business outcomes, helps expand services and products within client organizations, and partners with non-customer-facing teams to address customer needs, with travel up to about 30%. Required background includes 4-6 years in SaaS, 2+ years in customer-facing roles with stakeholders from technical administrators to executives, and demonstrated expertise in At l as sian Data Center Platform (e.g., Jira, Jira Service Management, Confluence, Bitbucket, Crowd) and Teamwork Foundations, plus experience defining goals and measurable metrics. Fluency in English is required, with a second language a plus, and there is a preference for candidates who can align with US time zones, coach best practices, work on cross-team projects, and have experience with large customers in a consulting or technical expert capacity.

Atlassian supports flexible work locations and hires globally in any country where it has a legal entity. The Atlassian Advisory Services team is globally distributed and helps major customers achieve success by delivering trusted, strategic guidance to maximize value from Atlassian investments. The company is hiring a non-managerial Solution Consultant for the Public Sector team to provide expert Atlassian guidance, help customers realize value, and expand use cases and markets. Responsibilities include aligning with advisory peers on outcomes, solving business challenges with Atlassian products, creating prescriptive guidance, staying current with best practices, and traveling up to 30% domestically or internationally. The role requires 4–6 years in or with SaaS, 2+ years in customer-facing roles, expertise in the Data Center Platform and Teamwork Foundations (including Jira, Jira Service Management, Confluence, Bitbucket, Crowd, Loom, and Rovo), cloud architecture knowledge, strong collaboration and communication skills, English fluency (second language a plus), and ideally alignment with US time zones and experience with large customers in consulting or technical roles.

Atlassians can choose where to work—office, home, or a hybrid—and Atlassian hires people in any country where they have a legal entity, giving employees control over family, personal goals, and priorities. The Atlassian Advisory Services team is globally distributed and helps the largest strategic and enterprise organizations solve complex challenges, providing trusted advisors to maximize the benefits of their Atlassian investments. They are hiring a non-managerial Solution Consultant for the Advisory Service’s Public Sector team to deliver guidance that drives value realization for clients who have purchased Advisory Services. Key responsibilities include collaborating on strategic outcomes, solving business challenges with Atlassian products, identifying expansion opportunities, creating prescriptive guidance, and traveling up to 30% for internal and customer-facing events. Requirements include 4–6 years in SaaS with 2+ years in customer-facing roles, strong Data Center Platform expertise (Jira, Jira Service Management, Confluence, Bitbucket, Crowd), cloud architectures and security knowledge, proficiency with Teamwork Foundations and Atlassian collaboration tools, English fluency (second language a plus), and the ability to align with US timezones and collaborate across Sales, Product, Support, and other teams for large customers.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, enabling teammates to prioritize family, personal goals, and other priorities. Its agile & DevOps, IT service management, and work management software—such as Jira Software, Confluence, and Jira Service Management—help teams organize, discuss, and complete shared work, with a broad customer base including the Fortune 500 and NASA. The Mid-Market sales team manages a portfolio of mid-sized customers, identifying cloud-first opportunities, cross-selling and expanding usage, nurturing relationships, and providing customer feedback to product and engineering. In this role you will own about 40 accounts in the Mid Market segment (200–10,000 seats), carry a $2–4M annual quota, lead a cross-functional deal team, build executive relationships, and apply MEDDPICC to qualify and win complex opportunities. You will collaborate with channel, marketing, product, and customer success; negotiate and price contracts; maintain a healthy pipeline with forecasting; stay informed on industry trends and competitors; and travel occasionally for customer meetings and team events.

Atlassian offers flexible work locations, allowing office, home, or hybrid arrangements, and hires in any country where it has a legal entity to support employees’ family and personal goals. Atlassian aims to unleash every team’s potential with products like Jira Software, Confluence, and Jira Service Management, used by major companies worldwide including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. The Mid-Market sales team manages about 40 accounts (200–10,000 seats), pursuing cloud-first opportunities, cross-sell and expansion, while meeting revenue targets and advocating for customers. The role requires leading a cross-functional deal team and building executive-level relationships across IT, business, sales, and marketing, using MEDDPICC to qualify and close complex opportunities with an emphasis on outcome-based selling. Key duties include collaborating with channel, product, marketing, and customer success; pricing and contracting; maintaining a healthy pipeline with accurate forecasting; staying informed on industry trends; and occasional travel for customer meetings and events.

Atlassian offers flexible work locations—office, home, or a hybrid arrangement—and hires globally where it has a legal entity, aiming to unleash the potential of every team with its agile, DevOps, IT service management, and work-management software. Its solutions, including Jira Software, Confluence, and Jira Service Management, are used by Fortune 500 companies and others (NASA, Audi, Kiva, Deutsche Bank, Dropbox) to help teams collaborate and deliver quality results on time. The Mid-Market sales team manages a portfolio of mid-sized customers, identifies cloud-first opportunities, pursues cross-sell and expansion, nurtures relationships, and targets revenue while acting as a customer advocate to provide feedback to product and engineering. In this role you will own roughly 40 accounts (200–10,000 seat), carry a 2–4M annual quota, lead cross-functional deal teams, develop executive-level relationships, apply MEDDPICC to qualify and win complex opportunities, pursue multithreaded, multi-solution deals, collaborate with channel, marketing, product, and customer success, negotiate pricing, source leads, forecast accurately, and stay informed on industry trends. Occasional travel for customer meetings, industry events, and team gatherings is expected, with all activities aligned to Atlassian's values and evolving sales model.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country where they have a legal entity, aiming to unleash the potential of every team with products like Jira Software, Confluence, and Jira Service Management. Their solutions are used by a wide range of customers, from the Fortune 500 to over 300,000 companies worldwide, including NASA, Audi, Kiva, Deutsche Bank, and Dropbox. In this Mid-Market sales role, you will own a book of 45-75 accounts with 200-10,000 Atlassian seats and a yearly quota of about $2-4 million, leading cross-functional deal teams and serving as the primary contact for your accounts. You will build executive relationships across multiple business groups, apply MEDDPICC or a similar framework to qualify and close complex opportunities, collaborate with channel, marketing, product, and customer success to maximize customer satisfaction, and act as a strong advocate for customers by feeding feedback to product and engineering teams. Additional duties include sourcing and qualifying leads, maintaining a healthy pipeline with accurate forecasting, occasional travel for customer meetings and industry events, and staying current on industry trends and competitors while upholding Atlassian's values and collaborative approach.

At Atlassian, flexible work options are available and the company hires globally, offering products like Jira Software, Confluence, and Jira Service Management that help teams collaborate. In the Mid-Market sales role, you’ll own 45–75 accounts (200–10,000 seats) with a $2–4M annual quota, focusing on cloud-first opportunities and customer expansion. You’ll lead cross-functional deal teams (SDR, SE, SSE, AM, partners) and establish executive relationships across IT, business, sales, and marketing to drive multithreaded opportunities. Responsibilities include closing complex, multi-solution deals, negotiating contracts, sourcing leads, maintaining a healthy pipeline with accurate forecasting, and occasional travel for meetings. You’ll collaborate with channel, product, and customer success teams to maximize customer satisfaction while staying ahead of industry trends and competitors for a competitive edge.

- Atlassian offers flexible work locations and hires in any country with a legal entity, with distributed collaboration options and details at go.atlassian.com/distributed. - Their Grad++ program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections to launch grads into impactful careers at Atlassian. - The role is located in Burnaby, Richmond, or Vancouver, British Columbia, and you must be willing and able to work from one of these locations to qualify. - This position is not eligible for employer sponsorship at the time of hire, and applicants who may require sponsorship in the future are encouraged to indicate this during the application process. - Responsibilities include building production-ready features for Jira, Confluence, and Trello; owning end-to-end projects from design to deployment; collaborating in Agile teams; innovating with AI/ML technologies; and solving complex distributed systems and data-processing problems using data-driven insights.

The Principal Incident Responser at Atlassian (based in Australia) leads incident response from initial triage to remediation and drives the development of incident response tools, systems, and playbooks to improve security posture. The role requires a broad security background, strong problem-solving abilities, and excellent communication skills, with emphasis on teamwork, innovation, and dedication within the Security Detection and Response team. Responsibilities include leading the region's security incident response for Severity 0/1 incidents, driving complex investigations, cross-team coordination, and managing communications to executives and key stakeholders such as Legal, Privacy, and Communications. The role serves as the primary liaison with external bodies (law enforcement, CERTs, ISACs), mentors team members, owns and delivers projects to advance incident response capabilities, and conducts regular training exercises and post-incident reviews. It also involves collaborating with other security teams on long-term strategies to prevent future incidents, producing Atlassian-specific threat intelligence, and staying current with security trends and emerging risks.

The Principal Incident Responser at Atlassian (Australia) leads planning and execution of incident response from initial triage to remediation, including developing tools, systems, and playbooks and managing information security incidents to advance the company’s security posture. The ideal candidate brings broad experience across security domains, strong problem-solving abilities, and excellent communication, within a culture that values teamwork, innovation, and dedication in Security Detection and Response. Responsibilities include leading the region’s security incident response, providing technical leadership during critical (Severity 0/1) incidents, coordinating investigations, and managing communications to executives and stakeholders such as Legal, Privacy, and Communications, while serving as the primary liaison with external bodies like law enforcement, CERTs, and ISACs. The role also involves coaching and mentoring, delivering projects to enhance incident response capabilities, conducting training exercises and post-incident reviews, and collaborating with other security teams to develop long-term prevention strategies and threat intelligence. It requires staying current with security trends, threats, and technologies to ensure readiness for emerging risks.

At Atlassian, work arrangements are flexible (office, remote, or hybrid), and hires can be made in any country with a legal entity to support employees’ family, personal goals, and priorities. The Search Platform team powers Rovo Search and knowledge discovery across Atlassian and external apps, aiming to provide secure, fast, globally scalable, and cost-efficient enterprise search. The technical lead for Search Serving will set long-term direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems addressing latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation; setting the architecture roadmap for online retrieval, index serving, query processing, and ML inference; and turning advances in IR and ML into production through rigorous evaluation, experimentation, rollout, and incident response. Additional focus covers advancing production inference for embedding, retrieval, and ranking models with techniques like batching, quantization, distillation, and hardware-aware optimization, while leading multi-team initiatives, mentoring engineers, and raising team and platform maturity for best-in-class agentic development.

Atlassians can choose where they work and the company hires in any country where it has a legal entity. The Search Platform team powers Rovo Search and knowledge discovery across enterprise data, making knowledge across Atlassian and external apps searchable securely, quickly, and at scale. As the technical lead for Search Serving, you’ll set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, collaborating with Relevance, Search Data, and Product to apply ML capabilities to improve the experience. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, capacity, and graceful degradation, and defining the architecture for online retrieval, index serving, query processing, and ML inference. You’ll establish ML production practices, advance production inference with techniques like batching, quantization, distillation, and hardware-aware optimization, and lead cross-team initiatives while mentoring engineers to raise platform maturity and accelerate innovation.

Atlassian offers flexible work options and hires in any country with a legal entity for this role, within the Search Platform team. The team powers Rovo Search and enterprise data search, aiming to make knowledge across Atlassian and external apps securely, quickly, and at scale through an enterprise-grade infrastructure. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply new ML capabilities. Responsibilities include designing high-quality agentic search systems, setting the architecture for online retrieval, index serving, and ML inference, and turning IR and ML advances into production via rigorous evaluation, experimentation, and controlled rollout. The role also demands establishing ML production practices, advancing production inference with techniques like batching and quantization, leading cross-team initiatives, mentoring engineers, and elevating the team's maturity to accelerate innovation.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally where they have a legal entity. The Search Platform team powers Rovo Search to enable secure, fast, globally scalable, and cost-efficient knowledge discovery across Atlassian data and third-party apps. The technical lead for Search Serving will set the long-term technical direction and own end-to-end search quality, tail latency, reliability, scalability, operability, and cost, while collaborating with Relevance, Search Data, and Product to apply ML capabilities. Responsibilities include designing high-quality agentic search systems that address latency, throughput, caching, sharding, fault isolation, and capacity; establishing the architecture for online retrieval, index serving, query processing, and ML inference; turning IR and ML advances into production systems with rigorous evaluation and safe rollout practices; and advancing production inference through techniques like batching, quantization, distillation, compilation, and hardware-aware optimization. The role also involves leading cross-team initiatives, mentoring engineers, aligning technical and product leaders around the long-term direction, and elevating the team's maturity to accelerate innovation.

Atlassian supports flexible work locations—office, home, or a mix—and hires in any country with a legal entity to help employees balance family, personal goals, and priorities. The way people find and use knowledge at work is changing: AI agents must understand goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. Atlassian is building an intelligence layer called context-layer across the enterprise ecosystem, with their team working at the intersection of information retrieval, ML, LLMs, agentic systems, and large-scale distributed systems. They are solving problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure, presenting an opportunity to shape search in the agent era. The role involves building systems for AI agents to discover information, reason over enterprise knowledge, and choose capabilities, across areas such as Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all at enterprise scale with considerations of permissions, freshness, latency, trust, heterogeneous data, and multi-tenant systems.

1) Atlassians can work anywhere—office, home, or a blend—and the company hires in any country with a legal entity, giving teams more control over family, personal goals, and priorities. 2) As the way people find and use knowledge at work changes, AI agents must understand user goals, decide how to search, reason across sources, select tools, identify missing information, and assemble trustworthy context before acting. 3) Atlassian is building an intelligence layer, the context-layer, to enable this across the enterprise and broader ecosystem, at the intersection of information retrieval, ML, LLMs, agentic systems, and large-scale distributed systems. 4) The team tackles problems from state-of-the-art retrieval and ranking to multi-step search, tool intelligence, context synthesis, and agent-facing search infrastructure, and invites those excited about defining search in the agent era. 5) You’ll work on building systems that let AI agents discover information, reason over enterprise knowledge, and choose the right capabilities, across areas like Agentic Search, Agent Search Experiences, Retrieval & Relevance, Procedural Intelligence, and Evaluation & Learning, all at enterprise scale with concerns about permissions, freshness, latency, trust, data heterogeneity, and multi-tenancy.

Atlassian is hiring a Senior Machine Learning Engineer for the Search & Intelligence organization to build intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines powering AI products and innovation across the company. The role leads development and productionization of advanced ML systems to improve how people discover, understand, and act on knowledge, spanning the full ML lifecycle from problem definition to deployment and ongoing optimization, and Atlassian supports flexible work arrangements (office, home, or a combination) with hires in any country where we have a legal entity. You will work with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, and designing robust architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost across information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experiments and evaluations. You will collaborate with product, engineering, data science, analytics, and platform teams to integrate AI capabilities into Atlassian products, translate research into reliable production systems, identify opportunities to improve model performance and developer experience, and communicate trade-offs and results clearly to technical and non-technical audiences while helping foster a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer in the Search & Intelligence group to build intelligent experiences, models, and data pipelines that power AI products and accelerate innovation. You can work anywhere—office, home, or a mix—and Atlassian hires in any country where it has a legal entity. The role involves leading end-to-end ML projects from problem definition and data exploration through development, deployment, and ongoing optimization, in collaboration with product managers, engineers, and data scientists. Responsibilities include designing production-ready ML algorithms and architectures for information retrieval, search ranking, personalization, NLP, deep learning, and LLM applications, plus rigorous experimentation and evaluation to translate research into reliable systems. You will mentor engineers, shape technical strategy, promote experimentation and inclusive collaboration, and communicate decisions and results clearly to both technical and non-technical audiences.

Atlassian is looking for a Senior Machine Learning Engineer to join the Search & Intelligence organization to build the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company. Atlassians can choose where they work—office, home, or a hybrid—and the company can hire in any country where it has a legal entity. In this role, you will lead the development and productionization of advanced ML systems that improve how people discover, understand, and act on knowledge across Atlassian, spanning the full ML lifecycle from problem definition and data exploration to model development, experimentation, evaluation, deployment, and optimization, partnering with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions. You will design and implement state-of-the-art ML algorithms for production, own ML projects end-to-end, and design robust architectures that meet requirements for quality, latency, scale, reliability, privacy, and cost across areas such as information retrieval, search ranking, personalization, NLP, deep learning, and large language model applications. You will design and execute rigorous experiments and evaluations, collaborate with cross-functional teams to integrate AI capabilities into Atlassian products, translate research into reliable production-quality systems, identify opportunities to improve model performance and customer outcomes, communicate decisions and results clearly to technical and non-technical audiences, and mentor others while contributing to technical strategy and a culture of experimentation and iterative delivery.

Atlassian is seeking a Senior Machine Learning Engineer to join the Search & Intelligence organization to build the intelligent experiences, agentic systems, models, evaluation frameworks, and data pipelines that power Atlassian’s AI products and accelerate AI innovation across the company. Atlassians can choose where they work—office, remote, or a hybrid—and the company can hire people in any country where it has a legal entity. In this role, you will lead the development and productionization of advanced machine learning systems that improve how people discover, understand, and act on knowledge across Atlassian, working across the full ML lifecycle from problem definition and data exploration to model development, experimentation, deployment, and ongoing optimization. You will partner with product managers, software engineers, data scientists, and other stakeholders to translate ambiguous product challenges into scalable AI solutions, contribute to architectural decisions, raise engineering and scientific standards, and mentor other ML engineers. Responsibilities include designing and implementing state-of-the-art ML algorithms for production, owning projects end-to-end, building scalable data and modeling approaches, designing robust architectures for quality, latency, scale, privacy, and cost, and conducting rigorous experiments and evaluations, while communicating findings to technical and non-technical audiences and fostering a culture of experimentation and continuous learning.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for Atlassian’s AI products. The company offers flexible work options and hires in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with an emphasis on making evaluation a first-class part of AI development. Responsibilities include designing evaluation-driven development processes, building evaluation datasets and benchmarks, conducting offline and online evaluations, human assessments, model-based evaluations, error analysis, and mentoring other engineers while collaborating with product managers, software engineers, data scientists, research scientists, and platform teams. The work requires designing scalable architectures that meet quality, reliability, latency, privacy, and cost requirements, applying modern techniques in information retrieval, ranking, embeddings, NLP, deep learning, and large language models, and communicating technical decisions and results clearly to both technical and non-technical audiences while contributing to ML and engineering best practices.

Atlassian seeks a Senior ML Engineer for its Search & Intelligence org to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering Atlassian’s AI products. Employees can work from office, home, or hybrid, and the company hires in any country with a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end from problem definition to deployment and continuous improvement, with an emphasis on evaluation-driven development. Responsibilities include building evaluation datasets, benchmarks, regression suites, offline/online evaluations, error analysis, and designing scalable architectures for quality, latency, privacy, and cost, while collaborating with cross-functional teams and mentoring others. You should apply modern techniques in information retrieval, NLP, deep learning, and large language models, communicate decisions clearly across audiences, and contribute to engineering and ML best practices.

Atlassian is seeking a Senior Machine Learning Engineer for its Search & Intelligence group to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms powering its AI products. Atlassian offers flexible work options and hires in any country where it has a legal entity. In this role you will develop and productionize ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects across the entire ML lifecycle from problem definition to deployment and continuous improvement. A key part of the role is making evaluation a first-class part of AI development, including defining quality, building evaluation datasets and benchmarks, analyzing model behavior, and guiding product and engineering decisions, while collaborating with product managers, software engineers, data scientists, research scientists, and platform teams. You will design scalable architectures, apply modern techniques in information retrieval, embeddings, NLP, deep learning, and large language models; conduct offline and online evaluations, build datasets and pipelines, communicate technical decisions clearly, mentor engineers, and contribute to engineering and ML best practices.

Atlassian is hiring a Senior Machine Learning Engineer for its Search & Intelligence organization to build AI-native experiences, agentic systems, models, evaluation frameworks, and data platforms for AI products. Employees can work in-office, from home, or a hybrid, and Atlassian can hire in any country where it has a legal entity. The role involves developing and productionizing ML systems for search, retrieval, ranking, conversational experiences, and AI agents, owning projects end-to-end across the ML lifecycle with a emphasis on evaluation as a first-class part of AI development. You will collaborate with product managers, software engineers, data scientists, research scientists, and platform teams, independently solve complex problems, contribute to technical direction, and mentor other engineers. Responsibilities include building AI systems, designing evaluation-driven processes, creating evaluation datasets and benchmarks, conducting offline and online evaluations, building scalable architectures, applying techniques from information retrieval, NLP, deep learning, and LLMs, and communicating decisions while mentoring on best practices.

Atlassian offers flexible work options and is hiring a Machine Learning Engineer for the Growth organization to help create personalized experiences that guide customers through the lifecycle. The Growth team spans product, engineering, data science, analytics, and operations and focuses on experimentation, personalization, and intelligent orchestration to improve discovery and adoption across the funnel. The ML Engineer will design, build, and operate systems for personalized recommendations, engagement and activation journeys, cross-product expansion, and sales experiences, including data foundations, features, models, evaluation frameworks, and decisioning, moving cross-flow ranking toward a unified, value-aware orchestration system. Requirements include a degree plus 5+ years in ML, strong Python and knowledge of Java/Typescript, SQL, Spark, cloud data environments, experience deploying large-scale models, building datasets and evals, and the ability to communicate ML concepts to diverse audiences while emphasizing practicality and iterative improvement. Nice-to-haves include experience in consumer/B2B SaaS, growth-focused ML applications, and familiarity with contextual bandits, uplift modeling, recommender systems, causal inference, as well as collaboration with product, analytics, marketing, and sales teams.

Atlassian offers flexible work options and 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 customer lifecycle. The role involves turning behavioral and product signals into scalable ML systems that support the growth funnel and enable more relevant customer and sales experiences. You will design, build, and operate ML systems for personalized recommendations, activation journeys, cross‑product expansion, and sales experiences, while striving for durable business value. Requirements include 5+ years in ML, a Bachelor’s or Master’s degree (preferably CS), strong Python (plus Java/Typescript), SQL, Spark, cloud data environments, and experience delivering large-scale ML in business applications, with the ability to communicate ML concepts to diverse audiences and a pragmatic, iterative mindset. Nice-to-have: experience in consumer or B2B SaaS contexts, familiarity with contextual bandits, uplift modeling, recommender systems, causal inference, and collaboration with product/analytics/marketing/sales to build personalized journeys.

1. Atlassian offers flexible work options, allowing employees to work in-office, from home, or a hybrid, to balance responsibilities and family. 2. Atlassian is hiring a Machine Learning Engineer for the Growth organization to build intelligent, personalized experiences that help customers discover value and progress through the lifecycle. 3. The role involves designing, building, and operating ML systems, developing models and decisioning services for personalized recommendations, activation and engagement journeys, cross-product expansion, and sales experiences, and transitioning from fragmented heuristics to a unified orchestration system based on context, conversion probability, and lifetime value. 4. Requirements include a bachelor’s or master’s in CS or equivalent, 5+ years in ML, proficiency in Python (and Java/TypeScript), SQL, Spark, and cloud environments (AWS, Databricks), and strong ability to communicate ML concepts and collaborate across teams; familiarity with contextual bandits, uplift modeling, recommender systems, policy evaluation, or causal inference is a plus. 5. Bonus experience includes working in consumer SaaS or enterprise B2B, applying ML to growth and personalization, and understanding engagement, activation, conversion, expansion, and retention metrics to balance short-term and long-term outcomes.

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Atlassians can choose where they work—office, home, or a mix. This flexibility gives employees more control over supporting their family, personal goals, and other priorities. Atlassian can hire people in any country where it has a legal entity. The text includes a placeholder for inserting a job description. Overall, it emphasizes flexible work arrangements and global hiring options at Atlassian.

Atlassian offers flexible work options (office, home, or hybrid) and hires globally to build a 100-year company with empowered engineering teams and the right tools. Engineering at Atlassian prioritizes AI and the transition to the cloud, delivering maximum value through Jira, Confluence, Trello, and Bitbucket. In this role, you will tackle large, complex problems, provide technical leadership on high-impact projects, champion a high technical standard across Atlassian, and drive cross-functional, company-wide initiatives. You will transfer knowledge, share best practices, and mentor the next generation of technical leaders to improve engineering excellence. The ideal candidate has 10+ years of full-stack experience (Java, Scala, Node, JavaScript, or React), a CS degree or equivalent, deep experience in systems engineering at scale (testing, reliability, security, observability), strong communication and mentoring skills, a focus on customer impact in decision-making, and familiarity with A/B testing.

At Atlassian, employees can choose where they work (office, home, or hybrid) and the company hires globally where it has a legal entity, to support personal goals and family needs. Atlassian aims to be a 100-year company with empowered engineering teams, equipped to do their best work, while focusing on AI and customers' cloud transitions and delivering value through Jira, Confluence, Trello, and Bitbucket. The roles target individuals who want to shape the future, tackle large, complex problems, provide technical leadership, and establish architectural standards across new projects. The position also involves driving company-wide initiatives, sharing engineering best practices, mentoring future technical leaders, and elevating the technical bar across the organization. Candidates should have 10+ years of full-stack experience with languages like Java, Scala, Node, JavaScript, or React, strong systems engineering skills at scale (testing, reliability, security, observability), excellent communication, and a focus on customer impact in technical decisions, including familiarity with A/B testing.

Atlassian offers flexible work options (office, home, or a mix) and hires globally where it has a legal entity, giving employees control over family and personal priorities. It aims to build a 100-year company through a world-class engineering organization of empowered teams, focused on AI and the cloud transition for customers, while delivering value through Jira, Confluence, Trello, and Bitbucket. Atlassian seeks individuals eager to shape the future and collaborate to achieve extraordinary results. In this role, you will tackle the largest and most complex problems, provide technical leadership, address architecture challenges, raise the technical bar, collaborate on company-wide initiatives, share best practices, and mentor future technical leaders. Requirements include 10+ years of full-stack experience with languages such as Java, Scala, Node, JavaScript, or React; a CS degree (or equivalent), deep systems engineering experience at scale (testing, reliability, security, observability), strong communication, mentoring ability, customer-focused decision making, and familiarity with A/B testing.

At Atlassian, employees can work in an office, from home, or a mix of both, and the company hires in any country where it has a legal entity, aiming to support personal goals and build a 100-year engineering organization with empowered teams and the right tools. The engineering focus emphasizes advancing AI, helping customers migrate to the cloud, and delivering maximum value through Jira, Confluence, Trello, and Bitbucket. The role involves tackling the largest and most complex problems, providing technical leadership, addressing architecture challenges, and championing high technical standards across the organization. It also requires partnering across engineering teams on company-wide initiatives, sharing best practices, and mentoring the next generation of technical leaders. Candidates should have 10+ years in full-stack development with languages such as Java, Scala, Node/JavaScript/React, a computer science degree or equivalent, deep experience in systems engineering at scale (testing, reliability, security, observability), strong communication skills, mentoring experience, customer-focused decision-making, and familiarity with A/B testing.

Atlassian is a global leader in team collaboration and productivity software, offering tools like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide to plan, track, and manage work. The company is dedicated to building innovative tools that drive the future of work and is seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph. The team also develops frameworks, models, and infrastructure to accelerate AI feature development across Atlassian. Atlassians can choose to work in an office, from home, or in a hybrid arrangement, and the company can hire in any country where it has a legal entity. In this role you will lead the development and implementation of cutting-edge ML algorithms and models powering AI capabilities, collaborate with product, engineering, and analytics teams, design system and model architectures, lead rigorous experiments and evaluations, provide technical mentorship, and help shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software with products like Jira, Confluence, Trello, Bitbucket, and Rovo used worldwide to plan, track, and manage work. The company is hiring a Principal Machine Learning Engineer for its Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to the Teamwork Graph, plus the infrastructure to accelerate AI development. Atlassian offers flexible work arrangements (office, remote, or hybrid) and hires in any country where it has a legal entity. The role involves leading the development and implementation of cutting-edge ML algorithms and models that power AI capabilities across Atlassian’s products, collaborating with product, engineering, and analytics teams to translate business needs into solutions. Responsibilities also include designing system and model architectures, conducting rigorous experimentation and evaluation, providing technical mentorship to ML engineers, and helping shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software, with Jira, Confluence, Trello, Bitbucket, and Rovo trusted by millions to plan, track, and manage work. They are seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, which builds flagship AI products such as agentic search and chat, long-horizon agents, and enhancements to Atlassian’s Teamwork Graph. The team also develops the frameworks, models, and infrastructure that accelerate AI feature development across the company. Atlassian offers flexible work arrangements and hires in any country where they have a legal entity, giving teams control over office, remote, or hybrid work. The role will lead the development and implementation of cutting-edge ML algorithms and models, collaborate with product, engineering, and analytics teams, design architectures, drive rigorous experimentation, provide technical mentorship, and help shape Atlassian’s AI strategy.

Atlassian is a global leader in team collaboration and productivity software, with products like Jira, Confluence, Trello, Bitbucket, and Rovo used by millions worldwide. They are seeking a Principal Machine Learning Engineer to join the Search & Intelligence organization, working on flagship AI products including agentic search and chat, long-horizon agents, and capabilities that enrich the Teamwork Graph, as well as frameworks, models, and infrastructure that accelerate AI feature development. Atlassian offers flexible work options—office, remote, or hybrid—and hires in any country where they have a legal entity. In this role, you will lead the development and implementation of cutting-edge ML algorithms and sophisticated models powering AI capabilities across Atlassian’s products and services. You will collaborate with product, engineering, and analytics teams to translate business and customer needs into impactful solutions, design system and model architectures, lead rigorous experimentation and evaluation, provide technical mentorship to ML engineers, and help shape Atlassian's AI strategy.

Atlassian supports flexible work arrangements—employees can work in an office, from home, or a mix—and hires in any country where the company has a legal entity. In this role, you’ll be the Manager, Customer Success Architects (AI), leading a pod that drives adoption of Atlassian's AI platform, Rovo, and delivers real, measurable business value in production. You’ll hire, coach, and develop Customer Success Architects (AI), own pod-level operations, capacity planning, engagement quality, and adoption metrics, ensuring engagements progress from initial activation to outcomes. You’ll partner with Pre-Sales, Post-Sales, Product, and Engineering to deliver solutions, surface product friction, influence roadmap priorities, and help expand AI use cases across new markets, with collaboration across Account Teams, CSMs, and Sales leadership. On day one you’ll lead with people management and enablement, maintain playbooks and product updates, align pod capacity with pipeline, advocate cross-functionally, and travel up to 15% while complying with GDPR and EU AI Act requirements.

At Atlassian, you can work from an office, from home, or a hybrid arrangement, and the company hires in any country where it has a legal entity. In this role, you’ll lead a team of Customer Success Architects (AI) focused on adopting Atlassian’s AI platform, Rovo, ensuring engagements move from initial activation to real, measurable business value in production. You’ll hire, coach, and develop CSAs (AI), own pod-level capacity planning and delivery quality, monitor key metrics, and provide enablement materials and playbooks to support the team. You’ll partner with Pre-Sales, Post-Sales, Product, and Engineering, collaborate with account teams to prioritize engagements, surface product friction to influence roadmaps, and advocate for TAS in cross-functional forums while broadening AI adoption. Familiarity with GDPR and the EU AI Act is required, and travel up to 15% is expected for team events, customer meetings, and offsites.

Atlassian offers flexible work options—office, remote, or hybrid—to help employees balance family, personal goals, and other priorities. The company is hiring a Senior Incident Response Analyst with strong technical skills in threat analysis and incident management to protect Atlassian’s corporate and cloud environments and safeguard data for Atlassian, its customers, and partners. Key responsibilities include acting as an escalation point for security incidents, investigating logs across multiple sources, conducting post-incident reviews, participating in on-call rotations, developing automated response capabilities, leading incidents, and performing threat hunting, forensics, playbook development, and tabletop exercises. Qualifications include 5+ years in a security domain, specialization in areas such as malware analysis or threat hunting, experience with AI-assisted tools, programming or scripting in languages like Python, Ruby, Java, or Go, cloud experience (AWS/GCP), project delivery, open-source contributions, and strong communication skills. The role sits within Atlassian’s Security Detection and Response organization, and the company values diverse skills, collaboration with development teams, and ongoing security improvements across products and engineering practices.

Atlassian supports flexible, location-agnostic work and hires globally where it has a legal entity. They are seeking a Senior Incident Response Analyst/Incident Responder with strong technical skills, threat analysis expertise, and a solid background in incident management to safeguard Atlassian's and customers' data and systems across corporate and cloud environments. The role involves leading security incidents, hunting for signs of compromise, developing and automating response strategies, and collaborating with cross-functional teams to enhance security posture, with day-to-day duties including escalation, log analysis, post-incident reviews, on-call duties, threat hunts, tooling and automation, playbooks, evidence collection, and tabletop exercises. Requirements include 5+ years in security, specialization in areas such as malware analysis/forensics/threat hunting/network analysis/cloud endpoint analysis, experience with AI-assisted tools, programming/scripting languages, cloud experience (AWS/GCP), project delivery, and strong communication, with contributions to the security community or open source a plus. The role sits within Atlassian's Security Detection and Response organization, a cross-disciplinary group spanning Incident Response, Detection Engineering, Threat Intelligence, and Security Engineering, which collaborates with development teams to improve product security and practices, with remote work options noted (#LI-Remote).