Maximus

Compensation

Full Description

Job Description: • 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 Requirements: • 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 Benefits: • Full suite: health, medical, dental coverage (USA & Canada) • 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)