Product Data Analyst

We call them AI operators: the employees inside companies who build, deploy, and run AI agents for their teams, without waiting for someone to hand them a tool. Dust is the platform they choose to rewire how their company works.

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 like Datadog, 1Password, Cursor, Clay, and Persona, and aim to x5 our growth by the end of 2026.

Dust is backed by Sequoia 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.

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.

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:

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  Define success metrics for product initiatives

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  Build experimentation frameworks and run experiments

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  Optimize onboarding to get users to value faster

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  Track growth KPIs and product health metrics

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  Influence roadmap prioritization through data

• 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

We're prioritizing building our team with an in-person culture at our offices in Paris and San Francisco, because we value the magic that happens when talented people work closely together.

The models are powerful enough. What's missing is the product layer where AI meets how companies actually work. That's what we're building: the infrastructure that lets any team turn scattered knowledge and tools into coordinated execution with agents they build, own, and run themselves.

We use Dust ourselves every day. We get to shape how humans and agents collaborate while solving our own problems with the product we ship. That loop is rare, and it's why we move fast.

If you're excited about defining a new category and want to join a determined team of optimists who focus on users, ship fast, and don't take themselves too seriously, we'd love to talk.

Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.

• Our product constitution, a story about our mission

• Agents at work - Latent Space, podcast with our cofounder, Stanislas Polu, 2024

• LLMs reasoning and agentic capabilities over time - dotAI, podcast with our cofounder, Stanislas Polu, 2024