Staff AI Product Analyst, Product Management | Spain | Remote

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 (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. 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. Learn more at grafana.com and follow us on LinkedIn and X .

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote position. We are looking for candidates in the UK, Germany, Sweden or Spain.

About the Role

We’re looking for a Staff Product Analyst to join our growing Product Analytics team and serve as a strategic partner to Grafana’s AI organization . This role will support the teams building Grafana Assistant , our synchronous chat experience; Investigations , our asynchronous AI workflow for incident analysis; and AI observability solutions , including Agent Observability .

You will shape how the AI team measures success by defining KPIs, improving measurement practices, guiding experiment design and evaluation, and translating data into recommendations that influence product decisions.

This is a highly cross-functional role. You’ll work closely with Product, Design, Engineering, and Data partners, with a primary focus on supporting the AI team, and report to the Product Analytics Manager

If you’re excited about building strong product analytics capabilities and using data to shape the future of AI-powered experiences at Grafana , we’d love to hear from you.

You Will

Partner cross functionally across Product to establish top-level KPIs, dashboards, and product roadmap planning

Define how success is measured for AI-powered product experiences, including adoption, engagement, quality, retention, and user outcomes

Guide the instrumentation of product data in collaboration with our Product Design, Product Management, and Engineering teams to enable reliable analysis of AI features and workflows.

Design, evaluate, and interpret experiments to assess the impact of new AI capabilities and inform product decisions.

Develop dbt models to transform and test our user behavior data in partnership with our Analytics Engineering team

Influence best practices for Product Analytics across teams and help define standards as the company scales

Contribute to defining the long-term vision and strategy for Product Analytics, balancing near-term needs with scalable, durable solutions.

You have

Experience partnering across product and engineering organizations, and familiarity with typical product KPIs and frameworks (e.g., DAU/MAU, funnels, A/B testing)

Experience defining and tracking success metrics for complex product areas, ideally including AI-powered features or workflows.

SQL: writing complex yet efficient SQL is a daily habit for you

Data Visualization: experience with any of the following tools: Tableau, Looker, Omni, Hex, or of course, Grafana!

Experience writing dbt models, implementing Product Analytics tooling (e.g., Heap, Pendo, Amplitude, FullStory), and code version control (git)

Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development.