Design and prototype agent- and LLM-driven systems to autonomously review code, reduce noise in PR feedback, run AI-generated E2E tests, and integrate successful prototypes into production while staying current with LLM and retrieval research.

The Growth Engineer will lead engineering projects focused on growth, experimentation, and analytics, improving user acquisition and retention. Responsibilities include developing user-facing features, running experiments, and collaborating with product teams to enhance product performance.

Own the enterprise sales cycle, develop strategic relationships, demonstrate product knowledge, and refine go-to-market strategies in an AI company.