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 like Datadog, 1Password, Cursor, Clay, Vanta 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.
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 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.
Learn how we think and work.
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