Senior Full Stack Engineer | Experimentation - Product Analytics | Spain | Remote

Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did.

You’ll join the Product Analytics team, a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes.

Responsibilities:

• Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration.
• Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results.
• Make instrumentation easier to adopt and trust. Evolve the experimentation SDK and its OpenFeature and Faro integrations.
• Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability.
• Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct.
• Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments.
• Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs.
• Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them.

Requirements:

• Strong full-stack engineering experience. You've built and operated production web applications with TypeScript and React, and backend services in Go.
• Experience building an in-house platform or integrating existing experimentation and A/B testing platform.
• Product and data intuition. You care whether what you shipped actually moved the needle, and you're comfortable working with event data, SQL and data warehouses.
• Technical ownership. You've delivered complex projects with minimal supervision, broken them into short feedback loops.
• Operational responsibility. You've been on call, supported software in production, and know how to make systems observable and debuggable.
• Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment.

Nice to Have:

• Hands-on experience with feature flags and OpenFeature.
• A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction.
• Experience with Kubernetes concepts: custom resources, operators, admission webhooks.
• Experience building Grafana plugins or apps.
• Familiarity with frontend observability and product analytics tooling.

Compensation & Rewards: In Spain, the base compensation range for this role is €85,000 - €107,000. Actual compensation may vary based on level, experience, and skillset.