At a Glance
- Tasks: Join our Product Analytics team to shape AI product success through data-driven insights.
- Company: Grafana Labs, a leader in open observability with a global remote culture.
- Benefits: Competitive salary, equity, 30 days annual leave, and a supportive work environment.
- Other info: 100% remote role with excellent career growth opportunities and a focus on innovation.
- Why this job: Make an impact on AI-powered experiences while collaborating with talented teams worldwide.
- Qualifications: Experience in product analytics, SQL proficiency, and strong communication skills.
The predicted salary is between 91755 - 110106 £ per year.
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries.
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 Sigil. 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.
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.
- Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team’s success.
A plus if you have:
- Knowledge about observability.
- Familiarity with Airflow or Prefect - generating ad hoc ETL jobs.
In the UK, the Base compensation range for this role is £91,755 - £110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here.
Why You’ll Thrive at Grafana Labs:
- 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
- Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
- Transparent Communication – Expect open decision-making and regular company-wide updates.
- Innovation-Driven – Autonomy and support to ship great work and try new things.
- Open Source Roots – Built on community-driven values that shape how we work.
- Empowered Teams – High trust, low ego culture that values outcomes over optics.
- Career Growth Pathways – Defined opportunities to grow and develop your career.
- Approachable Leadership – Transparent execs who are involved, visible, and human.
- Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
- In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
- Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Staff AI Product Analyst, Product Management | UK | Remote employer: Grafana Labs
Grafana Labs is an exceptional employer that champions a fully remote, global culture, allowing you to collaborate with talented individuals from around the world. With a strong emphasis on innovation, transparency, and career growth, employees are empowered to take ownership of their work while enjoying a generous annual leave policy and supportive leadership. Join us to be part of a passionate team dedicated to meaningful work in a high-growth environment, where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI Product Analyst, Product Management | UK | Remote
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Grafana Labs!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Grafana Labs would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Grafana Labs through your school's career services!
We think you need these skills to ace Staff AI Product Analyst, Product Management | UK | Remote
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Staff AI Product Analyst, Product Management | UK | Remote, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Staff AI Product Analyst, Product Management | UK | Remote position at Grafana Labs. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Grafana Labs
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
