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Open nowFirst seen 5 days ago

Senior Growth Engineer – AI Developer Tools (SF/Hybrid)

Morgan Pinnacle Group32 open roles

Pay
$225,000 – $290,000 a year
Where
San Francisco, California, United States
Work mode
Hybrid
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Your applicationOpen nowSenior Growth Engineer – AI Developer Tools (SF/Hybrid)Morgan Pinnacle Group · San Francisco, California, United States
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  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: first seen 5 days ago

The posting

Senior Growth Engineer – AI Developer Tools

Location: San Francisco / Bay Area, CA Employment Type: Full-time Work Arrangement: Hybrid Salary: $225K–$290K Equity: Competitive equity; details shared during the process Experience: 5–12 years Visa: Open to visa transfers, including OPT and H-1B transfers. Additional sponsorship may be discussed for truly exceptional candidates but is not standard practice.

About the Role

You'll write the code that turns developers discovering the product into developers who can't live without it.

This is a full-stack engineering role pointed entirely at growth: you'll own the signup, activation, onboarding, and conversion experience, and you'll be measured on the funnel metrics you move, not just the features you ship.

You'll instrument, experiment, build, and iterate on the product surfaces that drive the company's PLG motion. You'll own real conversion outcomes from day one.

About the Company

We're a fast-growing AI infrastructure and developer-tools company building technology that turns web content into clean, structured data that AI applications can use.

We reached 8 figures in ARR in our first year and have more than doubled since. We're a small team punching far above our weight, with strong adoption among developers and AI-native companies.

Everyone here owns a real piece of the product and company, end to end, and runs it themselves—no hiding behind process or headcount.

This is a place for people who want to work at the frontier: an AI company building infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building foundational tools for how AI systems access and use data from the web.

What You'll Do

  • Own the growth surfaces end to end: signup, activation, onboarding, and conversion.
  • Instrument the funnel, run experiments, and ship changes that move real metrics.
  • Build full-stack, from the frontend a developer first touches to the backend that powers it.
  • Treat conversion and activation as your numbers—you own them, measure them, and move them.
  • Work close to the data, form hypotheses, test them, and iterate quickly on what works.

What We're Looking For

  • 5–12 years of experience as a full-stack engineer, including hands-on growth work as an IC at an early- or growth-stage startup.
  • You're a strong full-stack engineer who's worked on growth or PLG products.
  • You've personally owned a conversion, activation, or funnel metric and moved it—not just shipped features someone else measured.
  • You think like a scientist: hypothesis, experiment, measure, iterate. You've run real A/B tests and can discuss what you learned, including when they didn't go as planned.
  • Strong experience with React, TypeScript, Next.js, and Node.js.
  • You've worked on developer-facing products such as SDKs, playgrounds, APIs, or other developer tools and understand how developers actually adopt products.
  • You're comfortable operating without detailed specs and have the product judgment to help determine what should be built.
  • You use modern AI coding tools as part of your regular engineering workflow.
  • You have a track record of staying with your work long enough to see it through.
  • You move fast and close the loop—you'd rather ship, measure, and iterate than perfect something on paper.

Nice to Have

  • Experience shipping in-product growth surfaces at a developer-tools or SaaS company, such as onboarding, activation, upgrade flows, or in-product guidance.
  • Experience with Tailwind, Vercel, PostgreSQL, Python, SQL, or product analytics tools.
  • Experience building with LLMs in production, including prompt engineering, tool use, or inference pipelines.
  • Experience with LLM APIs.
  • Experience building internal tooling adopted by growth or product teams.

What We're NOT Looking For

  • A growth marketer—this is an engineering role that writes production code.
  • A pure frontend or backend specialist without full-stack ownership.
  • Someone who's only shipped features without owning the outcome.
  • A marketing-site, SEO, content, lifecycle, CRM, or GTM operations profile.
  • A research or platform engineer without strong product instincts.
  • A pattern of short stints or primarily contract-based work.

Location

This is a hybrid role based in the San Francisco Bay Area. Candidates must currently live in the Bay Area or be willing to relocate.

A Note on Pace

We operate with a high level of urgency because the opportunity in front of us is moving quickly.

If you've experienced the "scaling chaos" of a company growing rapidly from early revenue to real scale, you'll feel at home here. This environment is best suited to people who enjoy moving quickly, taking ownership, and seeing the direct impact of what they build.

Benefits

For U.S. employees, benefits include:

  • 100% medical, dental, and vision coverage
  • 401(k)
  • $1,000 learning and development budget
  • 12 weeks paid parental leave
  • 3-month paid sabbatical after four years

Interview Process with the Hiring Company

After being introduced to the hiring company, selected candidates can expect the following interview process:

  1. Intro Chat – 25 minutes A mutual introductory conversation covering your background, recent work, what you're looking for next, and questions about the opportunity.
  2. Technical & Growth Chat – 50 minutes A deep dive into a growth feature you've built end to end, including how you scoped it, built it across the frontend and backend, measured the results, and iterated.
  3. Paid Work Trial – 1–2 weeks A hands-on paid trial where you'll ship a real growth project to production. The team evaluates quality, speed, communication, autonomy, and your ability to scope and deliver end-to-end work.
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