167K–209K USD / year

Senior Full Stack Engineer | Experimentation - Product Analytics

FullstackRemote — United States, Canada, EST time zone
Published on 2026-11-13
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Own and evolve Grafana Labs’ experimentation app from an internal tool into a product for teams to design experiments and analyze results. The role spans frontend and backend engineering, integrations with Grafana’s feature-flag and observability products, and collaboration on reliable statistical analysis.

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

TypeScriptReactGoGrafana App PlatformGrafana App SDK@grafana/uiCUEKubernetes

What you'll do

  • Own end-to-end features across the React frontend and Go backend.
  • Build workflows for experiment setup, lifecycle management, and results exploration.
  • Improve instrumentation and integrations for feature flags, Faro, Frontend Observability, and Session Replay.
  • Harden experiment analysis for scalability, cost, and statistical correctness.
  • Extend AI-assisted experiment authoring, explanation, and reporting.
  • Mentor contributors and create design docs, ADRs, documentation, and demos.
  • Participate in on-call and support teams running experiments.

What we're looking for

  • Production experience building web applications with TypeScript and React.
  • Backend engineering experience with Go or a similar language and willingness to work in Go.
  • 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 own complex projects and deliver iteratively with minimal supervision.
  • Production on-call experience and familiarity with observability and debugging.
  • Thoughtful use of AI coding tools and clear communication in remote teams.

Nice to have

  • Hands-on 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, app, App SDK, or Scenes experience.
  • Familiarity with 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.
  • In-person onboarding.
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