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GitKraken is a developer experience platform with built-in AI and workflow orchestration used by over 40 million developers and 100,000 organizations, supporting desktop, CLI, IDE, web, and mobile with integrations across Git providers, issue tracking tools, and AI solutions. They’re hiring Full Stack Product Engineers to build GitKraken Insights, a new engineering intelligence product that helps leaders understand how work moves through their org, including PR flow, DORA metrics, code quality, developer sentiment, AI tool adoption, and where teams get stuck, with work across React, Go, PostgreSQL, AWS, and GitHub workflows. The role involves translating ambiguous product problems into technical plans, designing interfaces for complex engineering data, shaping a new product area with customer demand, and shipping end-to-end features across React, Go, PostgreSQL, and AWS, including API design and data models. Requirements include strong product judgment, production-ready full-stack experience, Go backend experience or the ability to ramp quickly, API design with clear contracts and error handling, experience with AI coding agents, familiarity with Git/GitHub/CI/CD, PostgreSQL fundamentals, and strong React/TypeScript skills; bonus points for broader full-stack experience and English communication. Perks include competitive compensation, generous PTO and parental leave, health/dental/vision insurance, 401(k) with company match, travel opportunities after a year, and a remote or hybrid role based in Scottsdale, AZ, with equal employment opportunity and a commitment to diversity.

GitKraken is a DevEx platform used by over 40 million developers and 100,000 organizations worldwide, blending built-in AI and workflow orchestration with integrations across desktop, CLI, IDE, web, and mobile to accelerate productivity. The role targets a senior machine learning engineer or applied data scientist who can take ideas from concept to production with high ownership, quickly framing ambiguous problems, exploring messy data, building practical solutions, and measuring impact. You’ll identify high-value opportunities from product, customer, and operational data; own end-to-end execution from data exploration to productization; partner with engineering, product, and leadership; and define success metrics to improve developer workflows and team velocity through AI. The team uses Python for data/ML, with Go and TypeScript across core product and backend, and relies on Snowflake, AWS, and Datadog, while leveraging AI tools like Cursor, Claude Code, and Codex to accelerate development. We’re seeking deep ML experience with a proven track record shipping ML-powered capabilities, strong cross-stack execution, and ownership, with bonus points for prototyped features and rapid iteration, and rewards including competitive pay, flexible PTO, parental leave, health benefits, a 401(k) with company matching, and other perks.