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GitKraken is the developer experience (DevEx) platform used by more than 40 million developers and 100,000 organizations worldwide, combining built-in AI and workflow orchestration to eliminate toil and accelerate productivity across desktop, command line, IDE, web, and mobile. The company is looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take ideas from concept to production in a high-ownership role spanning data, product, and engineering. You will identify high-value opportunities from product, customer, and operational data, evaluate feasibility quickly, build practical 80/20 solutions, and own end-to-end execution from data exploration to productization while measuring outcomes and iterating. Their tech lens features Python for data/ML, Go and TypeScript for core product work, Snowflake, AWS, and Datadog, and AI tools like Cursor, Claude Code, and Codex to accelerate development and shape future workflows. What they’re looking for is deep ML experience with a track record of shipping data- or ML-powered capabilities, strong cross-stack abilities, practical judgment, ownership, and the ability to explain tradeoffs to technical and non-technical partners, with rewards including competitive compensation, generous benefits, parental leave, 401(k) with company matching, and travel opportunities.

GitKraken is the developer experience platform used by more than 40 million developers and 100,000 organizations worldwide, combining built-in AI and workflow orchestration with integrations across Git providers, issue tracking, and AI tools for desktop, CLI, IDE, web, and mobile. The role of Product Associate/Manager is to own the core systems and experiences that power how developers and teams purchase, manage, and grow with GitKraken, working across the full product lifecycle with cross-functional teams. Responsibilities include driving the roadmap for core systems (subscriptions and billing, org management, notifications, and settings), writing specs and prototypes, aligning Finance/Marketing/Customer Success, and measuring impact via product and business metrics. Requirements include 0–6 years in product/engineering/project management, an entrepreneurial, systems-thinking mindset, data-informed prioritization, clear communication, and the ability to manage multiple workstreams with cross-functional collaboration; bonus points for experience with developer tools, AI-assisted development, billing/SaaS, PLG, and related areas. Benefits include competitive compensation with performance-based increases, flexible PTO and holidays, parental leave, pet insurance, health coverage, hybrid-friendly offices, a strong growth culture, 401(k) with company match, and travel perks after anniversaries.