Senior Full Stack Engineer | Experimentation - Product Analytics

About this role

Own the development of Grafana’s experimentation app, taking it from an internal tool toward a product for Grafana Cloud customers. Build and operate full-stack features that help teams configure experiments, connect them to telemetry and feature flags, and interpret trustworthy results.

About the company

Grafana Labs builds open-source and commercial observability tools for metrics, logs, and traces, centered on Grafana dashboards. It helps teams monitor infrastructure and applications and investigate incidents.

The team

Product Analytics team

Stack

What you'll do

• Own features end to end across the React frontend and Go backend, from design through rollout and iteration.
• Build workflows for defining hypotheses, configuring experiments and metrics, managing experiment lifecycles, and exploring results.
• Improve the experimentation SDK and integrations for feature flags, Faro, and consistent event instrumentation.
• Connect experiment results with Frontend Observability, Session Replay, and user journeys.
• Harden the statistics and analysis pipeline for scalability, cost, and correctness.
• Extend AI-assisted experiment authoring, explanation, and reporting.
• Mentor contributors and document architectural decisions and adoption guidance.
• Participate in on-call and support teams running experiments.

What we're looking for

• Production full-stack experience with TypeScript and React, plus Go or a similar backend language and willingness to use Go.
• Experience building or integrating experimentation or A/B testing platforms.
• Comfort with event data, SQL, and data warehouses such as BigQuery.
• Ability to own complex projects with minimal supervision and iterate in short feedback loops.
• Production operations experience, including on-call and observability.
• Thoughtful use of AI coding tools and ability to communicate technical and statistical tradeoffs clearly.

Nice to have

• Experience with feature flags and OpenFeature.
• Understanding of experiment statistics, sample sizing, variance reduction, and common testing pitfalls.
• Experience with Kubernetes custom resources, operators, admission webhooks, or GitOps.
• Grafana plugin or app development experience, including Grafana App SDK or Scenes.
• Familiarity with Faro, RUM, session replay, RudderStack, or Segment.
• Open-source contributions or maintainership.
• Experience using Grafana, Prometheus, Loki, or Tempo.

Benefits

• Equity and bonus, if applicable.
• 30 days of annual leave, including three Grafana Shutdown Days.
• In-person onboarding.