Lead Growth Engineer building growth experimentation practice for Berry Street's nutrition platform. Architecting AI-powered solutions for rapid testing and optimization in healthcare.
Responsibilities
Own growth experimentation end-to-end: Grow Berry Street’s patient base by an order of magnitude through growth technology. Lead conversion funnel experiments as the technical owner of Berry Street's growth experimentation practice
Build self-serve experimentation tools: Create platforms that empower the growth marketing team to launch tests, personalize experiences, and analyze results independently
Build intelligent systems that unlock personalization: Implement pipelines using LLMs for content personalization and embeddings for semantic targeting as we scale our ability to serve the needs of specific patient cohorts with greater precision
Deliver exponential, compounding results: Build systems where AI-driven improvements stack — each experiment teaching the system to run better experiments, creating exponential growth in both learning velocity and business impact. Speed to learn is everything
Requirements
Experience: 6–8 years of full-stack engineering, with at least 3 years in growth engineering.
Technical Mastery: strong in TypeScript, React, and Node.js – comfortable architecting full growth stacks.
Data & Experimentation Expertise: deep experience with A/B testing platforms (LaunchDarkly, GrowthBook) and analytics tools (Amplitude, Segment, Mixpanel).
AI-Native Leadership: fluent in using LLMs and agentic tools (Cursor, Claude Code, OpenAI, etc.) to supercharge experimentation, personalization, and automation.
Systems Thinker: able to design processes and architecture that make experimentation repeatable, scalable, and safe.
Cross-Functional Collaborator: proven ability to translate between engineering, marketing, and data teams.
Bias to Action: pragmatic builder who ships, measures, and iterates rapidly.
Benefits
This role has the option to be in-person/hybrid in NYC, or fully remote depending on candidate location
The expected base pay range for this position is $225,000–$275,000, based on qualifications and experience
Comprehensive health insurance plans, including dental and vision
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