Senior Full Stack Engineer | Experimentation - Product Analytics

About this role

Build and evolve Grafana’s experimentation platform from an internal tool into a product for Grafana Cloud customers. Own features across a React and TypeScript frontend and Go backend, collaborating with analysts, data engineers, and product teams to help users design experiments and understand their 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 end-to-end development of the experimentation app, from design and implementation through rollout and iteration.
• Build workflows for configuring experiments, managing their lifecycle, and exploring results.
• Improve experimentation SDK and integrations for feature flags, instrumentation, and event contracts.
• Connect experiments with Grafana Faro, Frontend Observability, and Session Replay.
• Improve the statistics and analysis system, including scalability, cost, correctness, and guardrails.
• Extend AI-assisted experiment authoring, explanation, and reporting.
• Mentor contributors and produce design docs, architecture decision records, and adoption materials.
• Participate in on-call and support teams using the platform.

What we're looking for

• Production experience building web applications with TypeScript and React, plus backend services in Go or a similar language.
• Experience building or integrating an experimentation or A/B testing platform.
• Comfort working with event data, SQL, and data warehouses such as BigQuery.
• Ability to independently deliver complex projects through short feedback loops.
• Experience operating production software, including on-call and observability.
• Thoughtful use of AI coding tools, with validation and sound engineering practices.
• Clear communication with engineering, analytics, and product stakeholders in a remote, asynchronous environment.

Nice to have

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

Benefits

• Restricted Stock Units (RSUs).
• 30 days of annual leave, including three Grafana Shutdown Days.
• Company-funded budget for AI coding assistants and access to models from OpenAI, Anthropic, and Google.
• In-person onboarding.