Deliver protocol-level A/B experiments on signup flows, checkout, plan pricing, and product recommendations using Amplitude
Ship full-stack features across the acquisition funnel in Rails and React
Coach and develop your engineering team through regular 1:1s, pair programming, code reviews, and career conversations
Own experiment design, including sample sizing, metric selection, and the CVR-vs-retention tension that comes with a dual mandate
Iterate and continuously optimize plan and pricing architecture, including payment platform integrations
Build and maintain the experimentation infrastructure your team runs on
Partner with data engineering to instrument cohort-level M1 retention tracking per experiment
Drive adoption of AI-assisted development across the team, using tools like Claude Code and Devin to increase shipping and development velocity

You've led a team of 4-8 engineers before, with direct reports you grew and retained
You've shipped and measured growth experiments in a subscription product (signup funnels, checkout optimization, pricing and plan architecture)
You write production Ruby on Rails and React code and expect to keep doing so (strongly preferred). Javascript (Node), Python are also acceptable.
You can design an experiment, pick the right metric, set a sample size, and explain the trade-offs to a PM who wants to ship faster
You think in funnels and cohorts, not just features
You're comfortable with event-sourced systems or similar architectural patterns where state is derived from event streams
You use agentic AI coding tools (Claude Code, Devin, Cursor, or similar) in your daily workflow and have opinions about how to integrate them into a team's development process
Experience with healthcare, wellness, or regulated subscription commerce (nice to have, strongly preferred)
Familiarity with Stripe billing, Klarna, or similar payment platform integrations (nice to have, strongly preferred)
Experience building or managing Amplitude (or LaunchDarkly, Optimizely, etc.) experimentation infrastructure (nice to have, strongly preferred)

Flexible vacation/time-off policies
Equity into the company in the form of high potential stock options
Liquidity of options whenever available
Extended options exercise window for loyal employees (3 months for every year of service; e.g. 1 year for 4+ year employees)

Lead Engineer, Growth

Key skills