Lead Growth Engineer

Berry Street is on a mission to transform how Americans eat through nutrition therapy. Berry Street’s platform connects individuals needing evidence-based nutrition care with an expansive network of Registered Dietitians and AI-powered tools. From weight management, diabetes, and heart health to kidney disease, maternal health, and 25+ other conditions, Berry Street’s clinical team delivers personalized nutrition interventions tailored to each patient's unique physiological and psychological needs, improving outcomes and reducing total cost of care. Berry Street works with some of the largest health plans, as well as leading health systems and innovative care management companies to serve diverse populations across all 50 states. Visit berrystreet.co to learn more.

Since launching in January 2023, Berry Street has grown to over 1,400 providers on our platform and served tens of thousands of patients nationwide. We’re a Series B company backed by leading investors like Northzone, Sofina, and FJ Labs, as well as notable angel investors including the founders of Revolut, Spring, Grow Therapy, and Tilly.

Why Join Us

We’re a small, fast-moving team with a big mission. This role is demanding — it requires focus, urgency, and ownership — but it’s also highly rewarding. You’ll see the direct impact of your work every day, grow quickly, and play a key role in shaping the future of healthcare.

If you thrive at the intersection of engineering, product, and data — and get energy from using AI to accelerate learning loops and growth outcomes — you’ll fit right in.

About the Role

We're looking for a Lead Growth Engineer who will own and build Berry Street's growth experimentation practice from the ground up — from CRO and activation experiments to self-serve tooling for our growth marketing team. This is a greenfield opportunity to architect AI-powered experimentation infrastructure and intelligent automation that enables rapid testing and optimization at unprecedented speed, treating AI not as a feature layer, but as foundational infrastructure.

This role demands a technical leader who builds leverage through AI-first patterns: using LLMs to generate hypotheses and content, embeddings for semantic personalization, and autonomous agents to run continuous optimization loops. You'll define technical strategy from 0→1, partner across Marketing and Product, and mentor engineers on building systems where each improvement compounds into exponential value creation.

We want someone who lives at the intersection of engineering and AI innovation — excited to prove that AI-native growth infrastructure delivers 10x outcomes through compounding leverage, not incremental gains.

What You’ll Own

• 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.

Bonus Points For

• Experience building in healthtech, marketplaces, or other complex regulated ecosystems.
• Experience leading growth engineering squads or experimentation pods.
• Curiosity around reinforcement learning or automated experimentation agents.

Our Tech Stack

• React & React Native
• Typescript
• Next.JS and Nest.JS
• TailwindCSS
• TypeORM
• PostgreSQL
• AWS

Our Interview Process

1. Initial Screen → Conversation with People & Talent to align on background and mission fit
2. Virtual Assessments → Technical + non-technical problem-solving with the engineering team
3. Onsite Final Round → In-person interviews with leadership and other members of the Berry Street team
4. References + Offer → Our favorite part: welcoming you to Berry Street 🎉

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 determined by qualifications and experience
• Comprehensive health insurance plans, including dental and vision
• Generous PTO 🏖️
• 401k with match 💰
• Citibike membership 🚲
• Unlimited dietitian care 🍓