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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, a developer experience platform that blends built-in AI and workflow orchestration for millions of developers and organizations, is hiring for GitKraken Insights, its new engineering intelligence product for software teams. The role is a Full Stack Product Engineer expected to turn ambiguous product problems into technical plans and ship end-to-end features across React, Go, PostgreSQL, AWS, and GitHub workflows, at multiple levels. You will build interfaces that translate complex engineering data into understandable, trustworthy, and actionable insights, shape the product area with strong customer demand, and design APIs, data models, and UX for engineering intelligence workflows while participating in design reviews and production readiness. Core requirements include product judgment, production software experience on frontend and backend, Go or the ability to ramp quickly, API design, experience with AI coding agents, Git/GitHub/CI/CD workflows, PostgreSQL, and strong React/TypeScript skills, with bonus points for broader full-stack experience and clear technical communication. The position is hybrid in Alicante, Spain, with competitive compensation, PTO, parental leave, health insurance, modern offices, growth opportunities, and GitKraken’s commitment to equal employment opportunity and diversity.

GitKraken is a developer experience platform used by over 40 million developers and 100,000 organizations, offering built-in AI and workflow orchestration across desktop, CLI, IDE, web, and mobile with various integrations. They’re hiring Full Stack Product Engineers for GitKraken Insights, a new engineering intelligence product that helps leaders understand how work moves through teams—covering PR flow, DORA metrics, code quality, developer sentiment, AI tool adoption, and bottlenecks—built with React, Go, PostgreSQL, AWS, and GitHub workflows. You’ll turn ambiguous product ideas into technical plans and end-to-end features, build interfaces for complex engineering data, shape the product area with customer demand, and design APIs, data models, and experiences for engineering intelligence workflows. Required qualifications include product judgment, full-stack production software experience, Go or the ability to ramp quickly, API design with contracts and error handling, experience with AI coding agents, Git/GitHub/CI/CD, PostgreSQL fundamentals, React and TypeScript, and clear written communication; bonus points for broader full-stack data experience and additional AI tool usage. Benefits include competitive compensation, flexible PTO, parental leave, health/dental/vision insurance, 401(k) with company match, travel benefits after 1 year and every 5 years, and a remote or hybrid work option in Scottsdale, AZ (Phoenix area), with equal opportunity and a focus on diversity.

GitKraken is a developer experience platform used by over 40 million developers and 100,000 organizations, combining built-in AI and workflow orchestration to streamline collaboration and boost productivity across desktop, CLI, IDE, web, and mobile. The company is seeking a pragmatic Senior Machine Learning Engineer or Applied Data Scientist to take ideas from concept to production, owning end-to-end data work and delivering measurable impact without waiting for perfect specs. Responsibilities include identifying high-value opportunities from product, customer, and operational data, building practical 80/20 solutions, integrating models with production systems, and defining success metrics to drive real-world outcomes. The role emphasizes cross-stack work with a tech lens that includes Python for data/ML, Go and TypeScript for core product, Snowflake, AWS, and Datadog, and AI tools like Cursor, Claude Code, and Codex. Qualifications include deep ML/AI experience, a track record of shipping data-driven features, comfort with ambiguity, strong communication, and ownership, with generous compensation, benefits, and growth 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.