Growth Engineer
Dust is hiring a Growth Engineer in New York, United States. It pays $100k-$200k a year and Level rates it ; you can apply on Dust.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions OpenAI, Claude and Cursor among its tools and skills.
- Level classes it as a junior role.
- Dust has 30 other open roles on Level.
- Posted in the last few days.
AI in this role
Work is being rewritten, and the people holding the pen are the ones who actually run it.
With enterprise-grade governance, flexible model choice, and a collaborative interface for humans and agents to work together, Dust empowers AI Operators at the world’s fastest-moving companies to rewire how work gets done.
With 70%+ weekly active users, people stick with Dust as much as they do with Slack and Notion. We don't get piloted and shelved. We land once, and spread. We're at an exciting stage of our journey, and growing fast.
We're serving great customers like Datadog, 1Password, Cursor, Clay, Vanta and Persona, and aim to x5 our growth by the end of 2026.
Dust is backed by Sequoia with a determined team of optimists (coming from Stripe, OpenAI, and Stanford) who like to focus on users, ship fast, and don't take themselves too seriously while doing so. The Generalist named us among the Future 50.
TL;DR
We're looking for a Growth Engineer who writes code that moves revenue. You'll sit at the intersection of engineering and go-to-market, owning the technical systems that power how Dust acquires, activates, and converts users. Think: shipping directly on dust.tt, building our analytics and tracking infrastructure from the ground up, and creating high-leverage internal apps that make our GTM team wildly more effective.
You'll work alongside Growth Marketers and GTM Engineers, translating ambitious growth ideas into production systems, fast. And you'll do all of it supercharged by AI, using Dust and Claude Code every single day.
What you'll do
Website & Growth Funnel
Ship directly on dust.tt: landing pages, conversion flows, forms, and experiments, with the velocity of a founder, not the process of a platform team.
Implement and own end-to-end tracking across our 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.
Internal Apps & GTM Tooling
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 that our GTM team actually relies on daily, going far beyond prototypes, with real security, reliability, and autonomy.
Leverage Dust's own platform to build AI-powered agents and workflows that give our go-to-market team an unfair advantage.
Data & Analytics Infrastructure
Own our marketing and growth data stack: instrument events, build dashboards, and ensure data is clean, reliable, and actionable across PostHog, Snowflake, and Metabase.
Partner with Growth Marketers to define metrics, track performance, and generate insights that drive campaign and funnel decisions.
Build and maintain integrations across our GTM stack (CRM, CDP, ad platforms, enrichment tools).
Cross-Functional Collaboration
Serve as the technical backbone of the growth team: translate vague marketing requests into scoped technical specs and ship them autonomously.
Work closely with GTM Engineers on data architecture and with Growth Marketers on acquisition strategy.
Maintain a dotted line to Product Engineering to ensure code quality, security best practices, and architectural coherence.
Requirements
Software engineer first. Strong engineering fundamentals, ideally full-stack (TypeScript/React + backend). You write clean, production-grade code.
AI-pilled. You're a power user of AI coding tools (Claude Code, Cursor, or equivalent). You don't just use AI, you build with it and think about how it changes what's possible. This is a hard requirement.
Growth mindset, literally. Genuine interest in growth, marketing funnels, and user acquisition. You care about conversion rates as much as code quality.
Hands-on with analytics and tracking. Experience with tools like PostHog, GA4, Segment, Mixpanel, or similar. You've instrumented events, debugged attribution, or built dashboards before.
Autonomous and fast. You thrive in ambiguous, fast-moving environments. You don't wait for a spec; you write the spec and ship the solution.
1-4 years of professional software engineering experience. Prior growth engineering, marketing technology, or internal tools experience is a plus.
Ideal, but not required:
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)
We're prioritizing building our team with an in-person culture at our offices in Paris, London, San Francisco, and New York because we value the magic that happens when talented people work closely together.
We have an office-first culture. Some of the best things about building at Dust are the energy, the fast decisions, and the unexpected conversations that unlock a hard problem, which happen because we are in the same room. Being together is not a formality, it is how we do our best work, and it is something we actively protect.
That said, we hire people with strong judgement and we extend that trust to how they manage their time. When working from home makes more sense for what you need to get done that day, we trust you to make that call.
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
Your Next Co-Worker Isn’t Human, Stanislas Polu, VivaTech 2026. A conversation about AI agents taking on larger parts of work and how teams collaborate with them.
Dust: Gabriel Hubert on Enterprise AI, Gabriel Hubert, Nasdaq, published May 7, 2026. On Dust’s approach to enterprise AI and building the company in Europe.
How we rate this
Growth Engineer at Dust rates 68 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used OpenAI in your day-to-day work.
- What are the limits of Claude that you've run into, and how did you work around them?
- What's a project where you used Cursor hands-on?
- Walk me through how you've used Claude Code in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, OpenAI, Claude, Cursor, and Claude Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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