Grafana Labs
Staff AI Product Analyst, Product Management | UK | Remote

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Staff Product Analyst
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, and open culture. With Grafana Cloud, our fully managed observability platform for scale, AI-powered insights enable organizations to understand all their data, from apps to infrastructure.
Our global team of 1,600+ across 40+ countries is backed by Lightspeed Venture Partners, Sequoia Capital, and more. Bollored by trust from 35 million users, our customers (e.g., Anthropic, NVIDIA, Bloomberg) rely on us for incident resolution, reliability, and telemetry optimization.
We’re hiring a Staff Product Analyst—a remote position for candidates in the UK, Germany, Sweden, or Spain—to shape AI observability at Grafana.
About the Role
This role sits within the growing Product Analytics team as a strategic partner for multiple AI initiatives:
- Grafana Assistant, our synchronous chat experience for on-demand insights
- Investigations, our asynchronous AI workflow for incident analysis
- AI observability solutions, including Sigil
You’ll design analytical frameworks, guide data-driven decisions, and collaborate with Product, Design, Engineering, and Data teams.
Reporting to the Product Analytics Manager, success depends on bridging quantitative rigor with qualitative insight to inform AI-powered product experiences.
You Will
- Partner cross-functionally to define high-value KPIs, dashboards, and roadmap goals
- Own measurement frameworks for AI-delivery metrics:
- Adoption
- Engagement
- Quality
- Retention outcomes
- Collaborate with cross-functional teams to optimize data instrumentation for reliable analysis
- Design, run, and interpret experiments gauging the impact of new AI capabilities
- Build dbt models to process ad hoc spills and shaped modeling partnerships with Analytics Engineering
- Champion product analytics best practices, balance short-term delivery with scalable rigor as Grafana evolves
- Contribute to the Product Analytics roadmap, encompassing core teams through AI observability
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
Must-Have
- Proven experience aligning with product and engineering teams across large-scale, distributed products
- Breadth in understanding KPIs for AI/CDN features, not limited to marketing-centric metrics like DAUs, MAUs, or funnel analysis—niche experience here is prioritised
- SQL fluency: Approved for day-to-day development on ETL loads and dashboards.
- Calibrated visualisation skills—familiarity with tools: Grafana, Tableau, Looker, Hex or Python (e.g. Matplotlib) to quickly iterate hypotheses.
- Hands-on experience with:
- dbt translation & packaging; modeling large user behavior datasets.
- Product Analytics tooling (Heap, FullStory, SDF, Amplitude) and instrumentation.
- Version control for tooling (Git).
- Prior familiarity with AI-assisted coding tools to boost iteration cycles.
- Strong prepared communicators—balancing clarity for non-technical leadership leads across product strategy, budget meetings and iterate with cross-functional peers for product decision-making.
Nice to Haves
- Understanding of observability, Prometheus/Grafana-style instrumentation
- Experience with Airflow/Prefect for batch processing or ETL optimisation.
Below-the-Line
In the UK, this role offers a base pay slate of £91,755 – £110,106, Equity, and your typical annual bonus among benefits. Existenz couples with kindly days, Generosity for Grafana shutdowns and a global holiday contract of 30 duty free. repartment (and related frameworks) adjust totify international contributions.


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How We Grow You
- 100% remote, culture of progress—your gifts matter across time zones; success is measured both online (with digital working norms) and offmesh via in-person onboarding.
- Launching Autonomous Teams—executive startup methods inspire ideas for smarter shipping and iterative learning a default.
- Open-ended purpose—fenced on shared-care values delivers your turn across local markets at scale.
- Flexible promotion.—every contribution you innovate and own our selection to shine a light.
Why You’ll Thrive Here
Culture
- Huge product impact. Spann across diverse applications and cultures, leading cargo work with immense responsibility underpinned by vitality, grit, and zero back. Open source values drive our curiosity for change.
- Every voice heard. Strict protocols ancour laddered bias reviews; each new hire is connected with an “spaceship” team learned from verticals mentors to peer support.
- Winners team’ing on key moments. Our annual improvements allow dedicated disaster adequate leave (+Mental health focus days) to really dare without empty backlog.
Living Graphanista benefits
Not just pay—gradually peer-recognition and fellowship are central. Revenge can be rewritten, issues at scale. our equity payloads grant folks.
Equal Opportunity Employer
Grafana Labs is committed to creating a globally inclusive workplace for talented individuals regardless of race, ethnicity, age, mental fitness/wideiteness policies, religious or familial cues, protected sexual preference under local law or power dynamic.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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