Director of Software Engineering at Acuity leading AI - enabled digital commerce platform development and transforming user experience with modern architecture.
About the role
- 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
- Generous PTO 🏖️
- 401k with match 💰
- Citibike membership 🚲
- Unlimited dietitian care 🍓
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