GTM Engineer

About DustWe'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.The roleWe'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.ResponsibilitiesBuild Automated GTM SystemsDesign 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 leadsBuild scalable systems that continuously improve prospecting efficiencyHelp define what world-class GTM engineering looks like as the discipline evolvesEnable Sales ImpactAutomate repetitive GTM workflows to increase team productivityDevelop playbooks and train Sales teams on automation toolsHelp Sales focus on high-value conversations while reaching significantly more prospectsPipeline Optimization & ExperimentationOwn outbound campaigns end-to-end with clear pipeline generation targetsTrack performance metrics and optimize based on dataDesign and run rapid A/B experiments to improve messaging, targeting, and workflow efficiencyScale successful experiments into repeatable playbooksRequirements1-3 years of experience in an operations or engineering-focused roleTechnical fluency with SaaS tools, APIs, webhooks, automation platforms, and basic scriptingStrong interest in AI and its role in transforming GTM strategiesBusiness-oriented mindset with an understanding of sales processes and commercial outcomesData-driven approach to experimentation and optimizationScrappy, resourceful problem solver comfortable working in fast-moving environmentsNice to have:Familiarity with tools in our GTM stack (Dust, Clay, CommonRoom, Lemlist, Default, HubSpot)Experience in early-stage startups or high-growth environmentsProgramming experience in Python or JavaScriptYou 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 & CompensationCompetitive compensation: $95K - $135K OTESignificant equity package at a Sequoia-backed startupHealth benefits for you and your dependentsNew MacBook Pro or Linux machine, monitor, keyboard, etc.Opportunity to travel to the EU multiple times a yearRegular team events and off-sitesLocationWe'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 DustWe'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 ... (truncated, view full listing at source)