The Company GitKraken is the developer experience (DevEx) platform of choice for more than 40 million developers and 100,000 organizations globally. Combining built‑in AI and powerful workflow orchestration, GitKraken empowers development teams to eliminate unnecessary toil, streamline collaboration, and accelerate productivity. GitKraken’s seamless integrations with leading Git providers, issue tracking tools, and AI solutions make it the most versatile DevEx platform available across desktop, command line, IDE, web, and mobile environments.

The Role At GitKraken, our goal is to help developers and their teams focus, create, and collaborate while minimizing distractions, context switching, and wasted time. Our developer experience platform supports millions of developers across desktop, command line, IDE, browser, web, and mobile.

We’re looking for a pragmatic, startup‑minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data, sometimes it will come from the business. In both cases, you’ll be expected to determine what’s possible, identify the fastest credible path forward, and ship solutions that create measurable impact.

This is a high‑ownership role for someone comfortable working across data, product, and engineering. You should be able to frame ambiguous problems, explore messy data, build models or heuristics, integrate with production systems, measure outcomes, and iterate quickly. We care about practical impact, traction, and speed of learning. We are not looking for someone who waits for perfect specs or over‑polishes a solution before proving it matters.

What You’ll Do

Identify high‑value opportunities from product, customer, and operational data

Evaluate ambiguous ideas quickly and determine what is feasible, useful, and worth shipping





Build practical 80/20 solutions that create leverage quickly, then refine them based on traction

Own end‑to‑end execution across data exploration, modeling, experimentation, backend integration, and productization

Partner with engineering, product, design, and leadership to turn rough ideas into shipped capabilities

Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one is not needed

Define success metrics, instrument outcomes, and improve solutions based on real‑world usage

Help shape how GitKraken uses AI and data to improve developer workflows, team velocity, and product experience

Our Tech Lens We value strong fundamentals over a rigid checklist and are always open to adopting new technologies. Here is a snapshot of our current ecosystem:

Languages: Python (for data/ML execution), Go, and TypeScript across our core product and backend environments.

Data & Infrastructure: Snowflake for data warehousing, AWS for cloud infrastructure, and Datadog for monitoring and observability.

AI Ecosystem & DevEx: We heavily leverage and build around modern AI development tools and LLMs like Cursor, Claude Code, and Codex to accelerate execution and shape the future of workflows.

What We’re Looking For

Deep experience in machine learning, applied AI, or a similarly hands‑on product data role at a senior level

A track record of shipping data or ML‑powered capabilities into real products or operational workflows





Comfort moving from messy problem statements to practical execution without a lot of structure

Ability to work across the stack, not just in notebooks

Strong product judgment and a bias toward simple solutions that deliver measurable value

Experience deciding whether a problem is best solved with ML, rules, analytics, automation, or workflow design

Ability to balance speed and rigor, including knowing when “good enough to learn” is the right answer

Strong communication skills and the ability to explain tradeoffs clearly to technical and non‑technical partners

Ownership mindset: you don’t wait for perfect specs, and you follow through from idea to impact

Proficiency in English is required for this role

Bonus Points

You’ve built and shipped data or ML‑powered features, not just analyses

You can prototype quickly and are comfortable refining after launch

You know how to avoid getting buried in edge cases before the core value is proven

You like working in a company with a bias toward action, accountability, and high ownership

You want your work to directly influence product direction and business outcomes

How You’ll Be Rewarded

Competitive compensation with annual performance‑based pay increases

Adaptable paid‑time‑off policy and paid company holidays (chosen by our employees)

Generous paid parental leave

Pet insurance plan (with no exclusions)

Health, dental, and vision insurance with competitive employer cost‑sharing

Modern, fully equipped offices designed to maximize productivity in a hybrid environment

Great Place to Work certified culture

Paid career development opportunities, audiobook subscriptions, and mentorship

401(k) retirement plan with company matching

Company‑paid domestic trip after your 1‑year anniversary and an international trip every 5 years

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📌 Applied Data Scientist (Madrid)
🏢 Gitkraken
📍 Madrid