GTM Engineer

About Dust

We're creating a
new AI operating system that has the potential to change the way companies operate
. Our mission at Dust is to transform how work gets done by letting any team and employee shape the exact agents they need to accelerate their jobs.

With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We already are a core part of their jobs.

We're at an exciting stage of our journey—and growing fast. We're serving great customers like Cursor, Clay, Whatnot, and Persona, and aim to x6 our growth by the end of 2025.

Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe or OpenAI) that like to focus on users, getting great things done by shipping fast, and doesn’t take itself too seriously while doing so.

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 Rev Ops and Sales to build the automated workflows, integrations, and AI-powered systems that fill our pipeline for 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 that's defining the future of work.

• Build automated prospection systems for US markets using our GTM stack (Dust, Common Room, Clay, Lemlist, Hub Spot). Design end-to-end workflows that identify high-intent prospects, enrich data, generate personalized outreach, and route qualified leads to BDRs.

• Enable Sales teams to multiply their impact by automating repetitive tasks, developing playbooks, and training teams on automation. Let them focus on high-value conversations while reaching 10x more prospects.

• Drive measurable pipeline generation with a clear target by owning outbound campaigns end-to-end, tracking key metrics, and continuously optimizing based on performance data.

• Run rapid experiments to discover what works by designing A/B tests for messaging and targeting, implementing new approaches quickly, measuring results rigorously, and scaling successful experiments into repeatable playbooks.

• Define what world-class GTM engineering looks like as this discipline evolves.

• 1-3 years of experience in an Operations or Engineering role

• Technical fluency
  :
  Comfortable with multiple Saas tools, APIs & webhooks, automation platforms, and basic scripting

• AI at core: Excited to be at the forefront of how AI is transforming GTM strategies

• Business oriented
  :
  You understand sales processes, lead qualification, and want to attach your work with tangible commercial outcomes. You have a Growth mindset.

• Data-driven
  :
  You measure everything and optimize based on what the numbers tell you

• Scrappy & resourceful
  :
  You find creative solutions and aren't afraid to experiment

Nice to have:

• Familiarity with tools in our GTM stack (Dust, Clay, Common Room, Lemlist, Default, Hub Spot)

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

• Programming experience (Python, JavaScript)

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

We're not building yet another enterprise SaaS tool. We’re creating an AI OS that will fundamentally change how companies operate. We believe existing AI models are powerful enough to have a tremendous impact on the world (and will keep getting better) – the key is building the infrastructure so that they have context and explore the best interfaces for humans to interact with them.

We have the unique opportunity to explore and shape the way humans interact with machines while working on a product we use ourselves every day.

If you're excited about crafting products that reinvent B2B software and want to join a team that combines the best of startup culture with the backing of top-tier investors, 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