Product Data Analyst

Reposted 18 Days Ago
Be an Early Applicant
Paris, Île-de-France, FRA
In-Office
70K-110K Annually
Senior level
Artificial Intelligence
The Role
As a product data analyst, you'll define success metrics, build experimentation frameworks, optimize onboarding, and track growth KPIs while collaborating with product teams.
Summary Generated by Built In
About Dust

Work is being rewritten, and the people holding the pen are the ones who actually run it.

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.

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 and San Francisco, because we value the magic that happens when talented people work closely together.

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

Am I A Good Fit?
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The Company
HQ: Paris
25 Employees
Year Founded: 2023

What We Do

Create AI assistants with all your company's knowledge. Dust is recruiting! Look at our job page - https://shorturl.at/hmoyU

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