Growth Engineer
Company | Vapi |
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Location | San Francisco, CA, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | |
Experience Level | Junior, Mid Level |
Requirements
- 2+ years of experience in software engineering, growth engineering, or a related technical role, with a proven track record of building systems that drive user growth or engagement.
- Strong programming skills in languages like Python, TypeScript, or SQL, with hands-on experience building and automating growth experiments (e.g., onboarding flows, analytics pipelines).
- Analytical mindset with proficiency in tools like SQL, PostHog, or similar for tracking and interpreting growth data.
- Creative problem-solver who can identify unconventional growth opportunities and turn them into actionable, technical solutions.
- Familiarity with developer tools, workflows, or ecosystems, and an understanding of what drives developer adoption.
- Ability to thrive in a fast-paced, early-stage startup environment with a bias toward action and experimentation.
Responsibilities
- Build and maintain tools, integrations, and automations (e.g., onboarding flows, API wrappers, analytics pipelines) to streamline user acquisition and improve the developer experience.
- Design and execute growth experiments (e.g., A/B tests, referral programs, viral loops) to identify high-impact opportunities for increasing sign-ups, activations, and platform usage.
- Develop and maintain attribution models to accurately measure sign-up sources, and assess channel effectiveness, on data-driven insight across various acquisition channels (e.g., paid ads, website pages, SEO).
- Ship technical optimizations and refactors to reduce drop-off at key funnel points (e.g., signup to activation) and improve acquisition and retention metrics. Independently deliver funnel optimization features such as automated user segmentation for personalized onboarding.
- Research and present sources of growth; ship a significant experiment optimization; present key insights and learnings from experiments, etc.
Preferred Qualifications
- Experience with voice technologies, AI/ML platforms, or scaling B2D (business-to-developer) products.