The Opportunity
Join a fast-growing, venture-backed AI infrastructure company building developer tools that transform web content into structured, LLM-ready data. This hands-on growth engineering position combines full-stack product development with experimentation and measurable product-led growth (PLG). You will own improvements across signup, onboarding, activation, conversion, and expansion, working closely with technical leadership in a small, autonomous team.
What You'll Do
Build and optimize developer signup, onboarding, activation, conversion, and upgrade experiences.
Own growth features end to end: identify opportunities, scope solutions, build, deploy, and measure outcomes.
Design, run, and analyze A/B tests and product-growth experiments.
Develop production full-stack experiences using React, TypeScript, Next.js, and Node.js.
Use product analytics, funnel data, event tracking, and developer feedback to identify friction and improve adoption.
Build internal tooling to accelerate product and growth initiatives.
Use AI coding tools to improve development speed and workflows; collaborate directly with leadership on growth priorities.
Required Qualifications
Strong production experience with React, TypeScript, Next.js, and Node.js.
Proven experience independently building, shipping, and maintaining full-stack production applications.
Direct ownership of shipped product-led growth features with measurable improvements in activation, conversion, onboarding, or other key metrics.
Hands-on experience designing and running A/B tests and using experiment results to guide decisions.
Experience building developer-facing products, APIs, SDKs, or technical SaaS applications.
Strong product judgment and ability to independently scope and deliver work without detailed specifications or a dedicated product manager.
Regular use of AI coding tools such as Cursor, GitHub Copilot, or Claude Code.
Ability to work on a hybrid basis in the San Francisco Bay Area.
Stable work history required - no more than 2 jobs in the last 5 years.
Preferred Experience
Approximately 5-12 years of full-stack engineering experience.
Early-stage or growth-stage startup experience, especially in developer tools, infrastructure, or product-led SaaS.
Tailwind CSS, PostgreSQL, Vercel, and SQL.
Product analytics platforms such as PostHog, Mixpanel, or Amplitude.
Experience building applications with LLMs or Anthropic APIs.
Compensation & Benefits
Base salary: $230,000-$275,000 plus competitive equity.
Medical, dental, and vision benefits; 401(k).
Learning and development budget, parental leave, and sabbatical benefits.
Visa transfers considered; new sponsorship may be considered for exceptional candidates.
Hybrid work arrangement in the San Francisco Bay Area; relocation assistance is not offered.
Why This Role
Help shape a developer-facing AI infrastructure product with strong market traction. This is an engineering role-not growth marketing-for someone who enjoys building, experimenting, and being accountable for measurable product outcomes.
Apply today for confidential consideration.
Compensation details: 230000-275 Yearly Salary
PI7a0d562f18ed-0
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: jobtfeed
- Position Id: 7a0d562f18ed-30632-41888190
- Posted 12 hours ago
