Product Data Analyst

ABOUT DUST Work is being rewritten, and the people holding the pen are the ones who actually run it. Dust is the multiplayer AI platform for human-agent collaboration. It gives companies a shared workspace where teams can build, deploy, and manage AI agents connected to their company knowledge, tools, and workflows. With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world’s fastest-moving companies to rewire how work gets done. With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast. We're serving great customers https://blog.dust.tt/tag/customer-stories/ like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026. Dust is backed by Sequoia https://techcrunch.com/2024/06/27/dust-grabs-another-16-million-for-its-enterprise-ai-assistants-connected-to-internal-data/ with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50 https://www.linkedin.com/posts/dust-tt_were-honored-to-be-recognized-on-the-generalists-activity-7359284343929741313-Rq04. SUMMARY We're looking for a product-focused Data Analyst to embed with our product teams and define what success looks like. As our first product data analyst, you'll build the systems, metrics, and insights that help us make better decisions about what to build. WHAT YOU'LL DO You'll be hands-on with SQL and dashboards, strategic in how you influence the roadmap, and autonomous in how you identify and solve problems. You'll work directly with engineers, designers, and product leadership to: - Define success metrics for product initiatives - Build experimentation frameworks and run experiments - Optimize onboarding to get users to value faster - Track growth KPIs and product health metrics - Influence roadmap prioritization through data REQUIREMENTS - 5+ years in data analytics with a focus on product (ideally in a startup or high-growth environment) - Experience working embedded with product teams - Hands-on experience with SQL, metrics design and experimentation frameworks and running experiments - Background in defining metrics, building dashboards, and influencing product decisions through data COMPENSATION AND BENEFITS - Competitive compensation: 70k€-110k€ base salary - We offer substantial support for relocation (up to 10k€), including finding an apartment in Paris and supporting you with the visa procedure - Significant equity package in a Sequoia-backed startup - Health insurance for you and your dependents - New MacBook Pro or Linux machine, monitor, keyboard, etc. - Beautiful office in the heart of Paris - Opportunity to travel to the US multiple times a year - Regular team events and offsite We can go higher for outstanding profiles. LOCATION We're prioritizing building our team with an in-person culture at our offices in Paris, San Francisco, and New York because we value the magic that happens when talented people work closely together. We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect. That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call. WHY DUST The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're build