GTM Engineer

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.

We're hiring a GTM Engineer to scale our automated outbound prospecting systems. This role sits at the intersection of engineering and revenue generation. You’ll combine technical creativity with commercial impact to define what GTM engineering looks like at an AI-first company.

You’ll work directly with RevOps and Sales to build automated workflows, integrations, and AI-powered systems that fuel pipeline growth in the US market. And yes, you’ll be using Dust to build Dust’s GTM engine.

This is a unique opportunity to shape an emerging discipline at a company helping define the future of work.

• Build Automated GTM Systems

  • Design and implement end-to-end outbound workflows using our GTM stack (Dust, CommonRoom, Clay, Lemlist, HubSpot)

  • Identify high-intent prospects, enrich data, generate personalized outreach, and route qualified leads

  • Build scalable systems that continuously improve prospecting efficiency

  • Help define what world-class GTM engineering looks like as the discipline evolves

• Enable Sales Impact

  • Automate repetitive GTM workflows to increase team productivity

  • Develop playbooks and train Sales teams on automation tools

  • Help Sales focus on high-value conversations while reaching significantly more prospects

• Pipeline Optimization & Experimentation

  • Own outbound campaigns end-to-end with clear pipeline generation targets

  • Track performance metrics and optimize based on data

  • Design and run rapid A/B experiments to improve messaging, targeting, and workflow efficiency

  • Scale successful experiments into repeatable playbooks

• 2-5 years of experience in an operations or engineering-focused role

• Technical fluency with SaaS tools, APIs, webhooks, automation platforms, and basic scripting

• Strong interest in AI and its role in transforming GTM strategies

• Business-oriented mindset with an understanding of sales processes and commercial outcomes

• Data-driven approach to experimentation and optimization

• Scrappy, resourceful problem solver comfortable working in fast-moving environments

Nice to have:

• Familiarity with tools in our GTM stack (Dust, Clay, CommonRoom, Lemlist, Default, HubSpot)

• Experience in early-stage startups or high-growth environments

• Programming experience in Python or JavaScript

You should still consider applying, even if you don’t strictly meet all the requirements above, as long as you have the desire and determination to put your experience in the service of our users.

• Competitive compensation: $135K - $200K OTE

• Significant equity package at a Sequoia-backed startup

• Health benefits for you and your dependents

• New MacBook Pro or Linux machine, monitor, keyboard, etc.

• Opportunity to travel to the EU multiple times a year

• Regular team events and off-sites

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.

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