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. # Responsibilities
Build Automated GTM Systems
Design and implement end-to-end outbound workflows using our GTM stack (Dust, CommonRoom, Clay, Lemlist, HubSpot)
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
Requirements
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. ## Benefits & Compensation
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
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
