Full-stack Growth Engineer shipping experiments across frontend, backend, data, and dashboards to drive activation and retention at an early-stage AI infrastructure startup.
Salary not listed
On-siteGTM Engineering
About the role
Responsibilities
Ship growth experiments across the stack including landing pages, onboarding flows, backend services, data pipelines, dashboards, and internal tools
Scope ruthlessly to get signal fast, then either kill the idea or build it properly
Instrument product funnels, write queries, build dashboards, and use data to decide what deserves more investment
Own activation and retention problems without waiting for a PM to turn them into tickets
Work with marketing, product, and engineering to turn distribution ideas into shipped product
Use agents and Composio to make your own workflow faster
Requirements
Full-stack engineer comfortable shipping polished frontend and backend systems
Able to context-switch across codebases without losing speed
Growth taste: know the difference between a cheap experiment and a sloppy product; prefer shipping a narrow signal-generating version today than a perfect unknown version next week
Data comfortable: can write SQL or learn quickly, set up tracking, and reason from messy funnel data
AI native: build with LLMs and keep up with the ecosystem
Owner mindset: take a goal, decide what to build, ship it, and measure whether it worked
Human: build trust and admit what you do not know
Nice-to-Haves
Experience with PostHog, Snowflake, or similar analytics tools
Prior growth engineering or product engineering at a startup
Built something that got real traction
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