Growth Engineer Jobs
Growth Engineer jobs are open across fintech, SaaS, e-commerce, and consumer apps, from associate to staff and principal level, with specializations in experimentation, funnel optimization, and data-driven acquisition. See the openings below and apply to the ones that match your experience.
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About Dust
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)
Location
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.
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
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.
Compensation Range: $100K - $200K
About Dust
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)
Location
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.
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
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.
Compensation Range: $100K - $200K
Growth Engineer Jobs by Experience Level
See All 141+ Growth Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Growth Engineer JobsGrowth Engineer Job Market
Who's Hiring
- TikTok15
- Amrize7
- Meta5
- Airwallex5
- Ramp4
Top Industries Hiring
- Technology & Software15
- Manufacturing2
- Distribution & Wholesale2
- Retail1
- Marketing & Advertising1
What Employers Look For
The qualifications that appear most often in growth engineer jobs.
- Proficiency in Python or JavaScript for building and automating growth experiments
- Experience with A/B testing frameworks and statistical significance analysis
- Hands-on work with product analytics platforms and event instrumentation
- Ability to collaborate across product, data science, and marketing teams
- Familiarity with SQL for querying user behavior and funnel data
- Bachelor's degree in computer science, engineering, or a related technical field
Tips for Your Growth Engineer Job Search
Quantify experiments, not just outcomes
Hiring managers for growth engineer roles want to see how you ran tests, not just that you shipped features. Document the hypothesis, sample size logic, and statistical method behind each experiment you cite on your resume. Vague outcome claims get filtered out quickly.
Apply early to roles that fit
Migrate Mate lists growth engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Match your stack to the job posting
Growth engineer postings vary sharply between Python-heavy data pipelines and JavaScript-heavy front-end experimentation work. Read the technical requirements carefully and lead your resume with the languages and frameworks that mirror what the posting emphasizes, not a generic full-stack summary.
Show your analytics instrumentation work
Many candidates list growth tools but skip the instrumentation layer. If you've set up event tracking, defined schema, or debugged data pipelines for an analytics system, that detail is exactly what engineering-led growth teams look for. Put it in context with the product decision it enabled.
Prepare for the product sense screen
Growth engineer interviews frequently include a product intuition round alongside technical questions. Practice walking through a funnel, identifying the highest-leverage drop-off point, and proposing a testable fix. Teams want to see you think like a product manager while coding like an engineer.
Negotiate total compensation, not just base
Growth engineering roles at later-stage startups often structure a meaningful portion of compensation as equity or performance bonuses tied to growth metrics. Before accepting an offer, ask how equity vesting works and whether any bonus is tied to individual or company targets.
Growth Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most growth engineers?
TikTok, Amrize, and Meta are hiring the most growth engineers right now, with openings concentrated in California, New York, and Washington, based on current listings on Migrate Mate as of November 2026. Demand is strongest at product-led growth companies and consumer-facing platforms scaling their activation and retention loops.
How many growth engineer jobs are remote?
About 86% of growth engineer openings are fully remote or hybrid as of November 2026, reflecting the role's heavy reliance on collaborative tooling rather than on-site infrastructure. Experimentation platform work and analytics instrumentation roles tend to have the highest share of fully remote postings, while roles embedded in a core product team more often require some in-office time.
How do you become a growth engineer?
Start by building a foundation in software engineering, then develop hands-on fluency with experimentation frameworks, event tracking, and product analytics tools. Work on projects where you can instrument user behavior, run controlled tests, and interpret the results. Reading case studies from product-led growth companies helps you internalize how the role connects engineering decisions to business outcomes, which is what interviewers probe.
Can you get a growth engineer job with little or no experience?
Yes, though you'll need to compensate with demonstrated initiative. Build a side project that includes a live A/B test, instrument it with event tracking, and document your methodology and findings publicly. Applying to associate or growth engineer roles at earlier-stage startups is often more practical than targeting large tech companies, since smaller teams tend to value raw analytical instinct and shipping speed over a formal resume history.
What does the growth engineer interview process look like?
Most growth engineer interview processes include an initial recruiter screen, a technical take-home or live coding round focused on data manipulation or experiment design, and a product intuition interview where you walk through a funnel analysis or prioritization decision. Final rounds typically include a system design or instrumentation discussion and conversations with cross-functional partners from product and data science to assess collaboration style.
Where can I find and apply to growth engineer jobs?
You can find and apply to growth engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience level and technical stack, then apply directly to each opening that fits. New positions are added regularly, so checking back frequently gives you the best chance of catching roles early.
See All 141+ Growth Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Growth Engineer Jobs