An engineer who writes code that moves revenue, sitting at the intersection of engineering and go-to-market, shipping directly on dust.tt, building analytics and tracking infrastructure, and creating high-leverage internal apps for the GTM team, supercharged by AI tools like Dust and Claude Code.
Stack
Responsibilities
- ▹Ship directly on dust.tt: landing pages, conversion flows, forms, and experiments
- ▹Implement and own end-to-end tracking across the growth funnel (ads attribution, UTM params, gclid, cookie/browser tracking, HubSpot integration)
- ▹Design and run rapid experiments (A/B tests, new pages, new CTAs) and double down on what the data says works
- ▹Build high-leverage internal applications for Sales, Growth, and Marketing (signal-based notification systems, control towers, quote-to-cash automation between HubSpot and Stripe, outbound tooling)
- ▹Create production-grade tools the GTM team relies on daily, with real security, reliability, and autonomy
- ▹Leverage Dust's own platform to build AI-powered agents and workflows for the go-to-market team
- ▹Own the marketing and growth data stack: instrument events, build dashboards, ensure clean and reliable data across PostHog, Snowflake, and Metabase
- ▹Partner with Growth Marketers to define metrics, track performance, and generate insights
- ▹Build and maintain integrations across the GTM stack (CRM, CDP, ad platforms, enrichment tools)
- ▹Serve as the technical backbone of the growth team, translating vague marketing requests into scoped technical specs and shipping autonomously
- ▹Work closely with GTM Engineers on data architecture and Growth Marketers on acquisition strategy
- ▹Maintain a dotted line to Product Engineering to ensure code quality, security, and architectural coherence
Requirements
- ▹Software engineer first: strong engineering fundamentals, ideally full-stack (TypeScript/React + backend), writing clean, production-grade code
- ▹AI-pilled: a power user of AI coding tools (Claude Code, Cursor, or equivalent) who builds with AI, not just uses it — a hard requirement
- ▹Genuine growth mindset: interest in growth, marketing funnels, and user acquisition, caring about conversion rates as much as code quality
- ▹Hands-on with analytics and tracking tools: PostHog, GA4, Segment, Mixpanel, or similar; has instrumented events, debugged attribution, or built dashboards
- ▹Autonomous and fast: thrives in ambiguous, fast-moving environments, writes the spec rather than waiting for one
- ▹1-4 years of professional software engineering experience
Nice to have
- ▹Background in SEO infrastructure, programmatic content, or developer marketing
- ▹Familiarity with Stripe integrations, billing systems, or commerce flows
- ▹Prior work at a high-growth startup (especially AI-native or developer tools)
- ▹Prior growth engineering, marketing technology, or internal tools experience
Soft skills
Autonomous and fast, thrives in ambiguous, fast-moving environmentsCares about conversion rates as much as code quality
About the company
Dust is an enterprise AI platform providing flexible model choice and a collaborative interface for humans and AI agents to rewire how work gets done. Customers include Datadog, 1Password, Cursor, Clay, Vanta, and Persona, with 70%+ weekly active users. The Sequoia-backed company was named to The Generalist's Future 50 list.
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