Product Manager, Editing Foundations
•PhotoroomHybrid· 3d
📦 Product⏰ Full-time🎯 Lead / Principal🇫🇷 Paris, France
3d ago
Grafana Labs·about 2 months ago
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 – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – 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, and we’re 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 the USA on Eastern time zones.
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.
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In the USA, the Base compensation range for this role is $162,275 - $194,730 USD. 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.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
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.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
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