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At Atlassian, flexible work is supported—employees can work in an office, from home, or hybrid—and hiring spans any country where there is a legal entity, giving people more control over family, personal goals, and priorities. Product Management is a team sport at Atlassian, working closely with engineering, design, and go-to-market to solve real customer problems and leverage AI and new technology. The Future Team helps the world’s largest enterprises modernize workflows on Atlassian Cloud, focusing on cloud-native and AI capabilities and uncovering high-value platform opportunities. They turn insights into scalable products by shaping a vision, defining scope and roadmaps, discovering unmet needs with enterprise customers, testing solutions with engineering and design, and taking opportunities from discovery to delivery. Success is measured by evidence-based decisions, alignment across product, engineering, and customer-facing teams, and clear ownership and outcomes as opportunities mature.

Atlassian Help product teams are building AI capabilities for the Feedback app within Product Collection to help customers find relevant evidence, discover meaningful themes, and shape their Jira Product Discovery roadmaps. As the first ML engineer on the team, you will establish the ML foundations of a new data product with clear direction and autonomy to experiment, shipping improvements while collaborating with product engineers, product management, and design, and leveraging Atlassian’s shared infrastructure with opportunities to shape the ML team as the product evolves. The work must handle diverse customer datasets and produce trustworthy results with minimal setup, while keeping response times and processing costs practical. You will turn product problems into testable ML hypotheses, design experiments with baselines, build evaluation datasets and pipelines for retrieval, clustering, and language-model synthesis, and ensure recommendations improve over time using feedback signals while avoiding bias or repetitive dismissal. Success would mean agreeing on an initial focus, establishing a shared baseline for quality, latency, and cost, improving a priority workflow with measurable customer impact, and making improvements repeatable, with the role enabling you to shape customer-facing AI capabilities and evaluation practices across Product Collection starting from Feedback.

Atlassian Help product teams are building AI features for the Feedback app within Product Collection to help customers find relevant evidence, identify meaningful themes, and shape roadmaps in Jira Product Discovery. As the first ML engineer on the team, you will establish the ML foundations of a new data product, have autonomy to experiment and ship improvements, and collaborate with product engineers, management, and design, using Atlassian’s shared infrastructure and potentially growing the ML team. The role involves handling varied datasets and delivering trustworthy results with minimal setup while balancing response times and processing costs, with flexible work locations and the ability to hire in any country where a legal entity exists. You will work on improving retrieval of feedback, clustering and language-model synthesis to discover themes at scale, and develop suggestions that learn from user signals while avoiding bias and repetitive suggestions. Success means turning product problems into testable ML hypotheses, establishing baselines for quality, response time and cost; improving priority workflows with evidence of customer impact; and making improvements repeatable through production monitoring, regression checks, and reusable evaluation practices across Product Collection.

This role is remote in Poland, with Atlassian offering flexible work locations and the ability to hire wherever there is a legal entity. As a Principal Forward Deployed Engineer, you’ll be at the forefront of applied AI, working directly with customers and partnering with top organizations across industries and cross-functional teams in product, engineering, and design to deliver innovative AI-powered solutions with real business impact. You’ll lead the design, development, and deployment of AI/ML solutions tailored to customer needs, and architect robust integrations using Python, JavaScript, APIs, and microservices for enterprise-scale systems. You’ll drive data-driven solution development by analyzing complex datasets, champion AI-augmented workflow automation, oversee end-to-end production deployment, and navigate AI risk and data privacy (GDPR) as well as regulatory requirements while mentoring junior engineers. You’ll align technical solutions with business objectives, set a clear vision with measurable results, thrive in a fast-paced, ambiguous environment, and communicate complex concepts clearly to both technical and non-technical stakeholders.

Atlassian is hiring a Senior Principal Engineer to join Team Enterprise, reporting to the Head of Engineering for Enterprise Data Center Products, and guiding over 200 engineers. The role will set the long-term technical direction for the Enterprise Data Center, own cross-team strategic problems from strategy to design and coding, and ensure security and reliability while enabling customers to move to Cloud when ready. Responsibilities include leading AI-driven improvements, driving migration-readiness capabilities and large-scale migrations, and aligning Data Center with Cloud through shared data, telemetry, and platform services. It also entails shaping platform and API decisions affecting the Marketplace ecosystem, maintaining a sustainable security and maintenance model, and upholding engineering excellence in design, architecture, and code. The position involves mentoring engineers and managers, serving as a trusted advisor to Heads of Engineering, and representing Team Enterprise both within Atlassian and externally in the industry.

Atlassian offers flexible work options (office, remote, or hybrid) and hires in any country with a legal entity; for this role, applicants from all regions of Poland are welcome. Atlassian is redefining service management for Central and Eastern Europe with the Atlassian Service Collection, powered by Rovo AI, unifying ITSM and ESM to triage requests, surface knowledge, automate workflows, and speed issue resolution. The Senior Solution Sales Executive role on the EMEA Solution Sales team will drive adoption of Service Collection across strategic enterprise accounts in CEE, leading high-impact engagements with AEs, SEs, partners, and executives to deliver transformational outcomes; it emphasizes strategic net-new business, complex cloud migrations, and large-scale expansion. The CEE market context notes Poland’s cloud migration potential and varied readiness across the region, with the role leading strategic engagements across enterprise ITSM/ESM from regulated migrations to AI-powered service delivery. Responsibilities include driving ITSM/ESM sales strategy and revenue growth, building trusted relationships with C-level and senior leaders, orchestrating end-to-end enterprise deals, executing competitive displacements, partnering with AEs and partners to tailor value propositions, and providing market input to influence GTM, product, marketing, and engineering roadmaps, with rigorous forecasting.

Atlassian offers flexible work options (office, home, or hybrid) and hires in any country with a legal entity, with a regional emphasis on Poland for this role. The position is for a Senior Solution Sales Executive in the CEE emerging markets, focused on selling Atlassian’s AI-powered Service Collection (ITSM/ESM) built on Rovo to modernize service delivery. You’ll lead strategic, net-new business and complex cloud migrations, collaborating with Enterprise Account Executives, Solution Engineers, partners, and executives to drive adoption across strategic enterprise accounts. The CEE market context shows high potential with varied maturity, including cloud migration opportunities in Poland, Hungary, the Balkans, Baltics, Czechia, Slovakia, Romania, Bulgaria, Ukraine, and more. Responsibilities include shaping sales strategy, building C-level relationships, guiding end-to-end multi-stakeholder deals, architecting competitive displacement, and aligning GTM, product, and roadmap decisions with forecast and pipeline visibility.

Atlassian supports flexible work locations and hires globally in countries where they have a legal entity. They are looking for a Senior Incident Response Analyst / Incident Responder with strong technical skills, threat analysis expertise, and incident management background to protect Atlassian, its customers, and partners, and to lead security incidents and response strategy development. Responsibilities include acting as an escalation point for security incidents, investigating logs from multiple sources, conducting post-incident reviews, participating in the on-call roster, delivering mitigations, advocating secure practices, conducting threat hunts, researching threat actor TTPs, building tools and AI-assisted workflows, maintaining incident response playbooks, leading evidence collection and forensics, and running tabletop exercises. Requirements include 5+ years in security with specialization in areas like malware analysis, forensics, threat hunting, network analysis, or cloud endpoint analysis; experience with AI-assisted security tools; programming or scripting ability; cloud platform experience (AWS/GCP); project delivery experience; and strong written and verbal communication. The role sits within Atlassian's Security Detection and Response organization, which includes Incident Response, Detection Engineering, Threat Intelligence, and Security Engineering, and is focused on improving security across environments and collaborating with development teams.

Atlassian offers flexible work options, allowing office, home, or hybrid setups, and hires in any country where it has a legal entity. The company seeks a Senior Incident Response Analyst to monitor corporate and cloud environments, hunt for signs of compromise, protect data, lead security incidents, and collaborate across teams to strengthen security. Daily duties include acting as an escalation point, analyzing logs from multiple sources, conducting post-incident reviews, participating in on-call rotations, delivering mitigations, promoting secure coding, conducting threat hunts, researching attacker TTPs, building tools and automations, maintaining incident response playbooks, leading evidence collection, and running tabletop exercises. Requirements include 5+ years in security, specialization areas, experience with AI-assisted tools, programming or scripting ability, cloud experience (AWS/GCP), project delivery, and contributions to the security community, plus strong communication. The role sits within the Security Detection and Response organization (Incident Response, Detection Engineering, Threat Intelligence, Security Engineering), emphasizing diverse skills and collaboration to improve Atlassian's security, with remote options indicated by #LI-Remote.