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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 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.