GTM Engineer at Dust building automated outbound prospecting systems using AI agents. Role combines engineering and revenue generation, designing end-to-end workflows with Dust, Clay, CommonRoom, and other tools to fuel pipeline growth.
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 work.
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 5x our growth by the end of 2026.
Dust is a Sequoia-backed company with an experienced and determined team of optimists (coming from companies like Stripe and OpenAI) that likes 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 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
1-3 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: $95K - $135K 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.
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 they have the right context, and building 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 building 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.
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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 Stanislas Polu (2024)