Senior Full Stack Engineer | Experimentation - Product Analytics

About Grafana Labs

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 and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams unified visibility across disparate data.

We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital.

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.

You'll join the Product Analytics team, a group of 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 across the React frontend and Go backend, collaborating with data scientists, data engineers, and product stakeholders.

About the Product Stack

• Frontend: TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin powering experiment statistics panels.
• Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator and webhooks supporting 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) producing direction-aware verdicts, probability to be best, credible intervals, expected loss, and sample-size recommendations.
• Data: Experiment exposure and outcome events flowing from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, queried live through Grafana datasources.
• AI: Experiment authoring assisted by Grafana Assistant.

What You'll Be Doing

• Evolve the experimentation app from internal tool to product: Take full ownership of features end-to-end across the React frontend and Go backend.
• Build the experimentation experience: Develop intuitive workflows for defining hypotheses, configuring experiments, managing lifecycles, 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 user-experience stack: Integrate with Grafana Faro and Frontend Observability so exposures and outcomes are captured automatically.
• Harden the statistics and analysis path: Work with data analysts to extend the statistics engine, making analysis scalable, cost-aware, and correct.
• Use AI where it genuinely helps: Extend Grafana Assistant integration for authoring, explaining, and reporting on experiments.
• Raise the engineering bar: Mentor teammates, write ADRs, documentation, and demos to drive adoption.
• Own what you ship: Participate in on-call for services you build and support internal teams using them.

What Makes You a Great Fit

• Strong Full-Stack Engineering Experience: Proven track record building and operating production web applications using TypeScript and React, plus backend services in Go (or willingness to learn Go).
• Platform Experience: Prior experience building an in-house experimentation/A-B testing platform or integrating existing platforms (Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly, etc.).
• Product & Data Intuition: Comfortable working with event data, SQL, and data warehouses such as BigQuery.
• Technical Ownership: Demonstrated ability to deliver complex projects independently with short feedback loops.
• Operational Responsibility: Experience on-call, supporting production software, and building observable systems.
• Pragmatic AI Usage: Thoughtful integration of AI coding tools to improve team speed and code quality.
• Clear Communication: Able to explain 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/frequentist testing, sample sizing, variance reduction, peeking, sample ratio mismatch).
• Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps.
• Experience building Grafana plugins or apps using 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 (Spain): €85,000 - €107,000 per year (varies based on level and experience).
• Equity: Restricted Stock Units (RSUs) included with all roles.
• Time Off: 30 days of annual leave per year (includes 3 company shutdown days).
• Remote-First Culture: 100% remote flexibility with modern AI tooling budgets and global offsite opportunities.