Lead Software Engineer / Tech Lead, Growth (Remote)

Maximus Health, Inc.•New York, NY

1d•Remote

About The Position

Maximus is a mission-driven consumer performance medicine telehealth company that provides men and women with content, community, and clinical support to optimize their health, wellness, and hormones. Maximus has achieved profitability, 8-figure ARR, and is doubling year over year - with a strong cash position. We have raised $15M from top Silicon Valley VCs such as Founders Fund and 8VC as well as leading angel investors/operators from companies like Bulletproof, Tinder, Coinbase, Daily Stoic, & Shopify. We also offer Maximus Labs, a standalone biomarker testing subscription that doubles as an acquisition channel into our telemedicine protocols. We're targeting 2x customer growth this year and need a Growth Lead who can build the acquisition engine that gets us there. We're capital-efficient and compete against Hims, Hone, Keeps, and Fella by being better at the product, not louder with ad spend. Our growth strategy is conversion-driven: make the signup-to-checkout funnel so good that paid channels become more efficient by default. We are looking for a strong Lead Engineer (Tech Lead) to lead our Growth engineering team. You will be splitting your time roughly 50/50 between management and coding. You own the lower acquisition funnel, from flow start through checkout, across all Maximus protocols. Your north star metric is Flow Start to Checkout CVR. You also carry an M1 Retention guardrail, which means you can't optimize for conversion at the expense of user quality. Every experiment you ship has a built-in quality check. You will manage a small team of engineers and work directly with a Sr. PM and Sr. Designer. You will report directly to the Head of Engineering.

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

Nice To Haves

Experience with healthcare, wellness, or regulated subscription commerce
Familiarity with Stripe billing, Klarna, or similar payment platform integrations
Experience building or managing Amplitude (or LaunchDarkly, Optimizely, etc.) experimentation infrastructure

Responsibilities

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

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)

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