Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards, Grafana Cloud brings AI to observability and observability to AI.

We are a 100% remote company with team members across 40+ countries. This is a remote opportunity open to candidates located in the UK, Ireland, Sweden, Spain, and Germany.

The Opportunity

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.

It started as a hackathon project and is now used internally by Grafana engineering and product teams. The next step is to make it a first-class product available to Grafana Cloud customers alongside Frontend Observability, Session Replay, and other user-experience capabilities.

You'll join the Product Analytics team, a group of highly technical product analysts. As the team's dedicated software engineer, you'll own the engineering of the experimentation app across the full stack (React frontend and Go backend). You'll partner closely with data scientists, data engineers, software engineers, and product stakeholders.

About the Product

The experimentation app is built on the Grafana App Platform:

Frontend: TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels.
Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative GitOps-style management.
Feature Flags: Integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP), Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator.
Statistics Engine: A Bayesian analysis engine (TypeScript, with a Go port) that produces direction-aware verdicts per metric, probability to be best, credible intervals, expected loss, and sample-size recommendations.
Data: Experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources.
AI: Experiment authoring assisted by Grafana Assistant, which discovers relevant data and drafts experiment configurations.

What You'll Be Doing

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 Grafana's UX stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, linking experiment results to Session Replay.
Harden the statistics and analysis path. Extend the statistics engine alongside data analysts to make analysis scalable, cost-aware, and correct (e.g., server-side computation, scheduled analysis, experiment health alerts).
Utilize AI pragmatically. Extend the Grafana Assistant integration for authoring, explaining, and reporting on experiments.
Raise the engineering bar. Mentor teammates, review code, conduct pairing sessions, write ADRs, documentation, and demos.
Own what you ship. Participate in on-call rotations for the services you build.

What Makes You a Great Fit

Strong full-stack engineering experience: Proven background building and operating production web applications with TypeScript and React, and backend services in Go (or a similar language with a willingness to work in Go).
Experimentation background: Experience building an in-house platform or integrating existing experimentation/A/B testing platforms (e.g., Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly).
Product and data intuition: Strong interest in product impact and comfort working with event data, SQL, and data warehouses such as BigQuery.
Technical ownership: Track record of delivering complex projects with minimal supervision using iterative feedback loops.
Operational responsibility: On-call experience and expertise in building observable, debuggable production software.
Pragmatic AI usage: Thoughtful use of AI coding tools to improve both team velocity and code quality.
Clear communication: Ability to explain complex technical and statistical trade-offs asynchronously in a fully remote environment.

Bonus Points

Hands-on experience with feature flags and OpenFeature.
Understanding of experiment statistics (Bayesian or frequentist testing, sample sizing, variance reduction, sample ratio mismatch).
Experience with Kubernetes concepts (custom resources, operators, admission webhooks, GitOps).
Experience building Grafana plugins, apps, or working with the Grafana App SDK or Scenes.
Familiarity with frontend observability and product analytics tooling (Grafana Faro, RUM, Session Replay, RudderStack, Segment).
Open-source contributions or maintainership.
Experience using Grafana, Prometheus, Loki, or Tempo.

Compensation & Benefits

Base Salary Range (Germany): €100,000 - €125,000 (actual pay is market-specific per country).
Equity: Restricted Stock Units (RSUs) included with all roles.
Annual Leave: 30 days of annual leave (includes 3 company shutdown days).
Developer Productivity: Usage budget for modern AI coding tools and access to frontier models (OpenAI, Anthropic, Google).
Remote Onboarding: Dedicated in-person onboarding experience for new team members.