Lead Software Engineer / Tech Lead Manager, Growth
M
Maximus Health, Inc.Healthcare Telehealth
Fully Remote (North America / South America)Full-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- AWSDockerNode.jsPostgreSQLPythonCypressGCPJavascriptRuby on RailsRedisRedux
Requirements
- Experience leading a team of 4-8 engineers with direct reports
- Experience shipping and measuring growth experiments in a subscription product (signup funnels, checkout optimization, pricing and plan architecture)
- Proficiency in Ruby on Rails and React for production code (strongly preferred)
- Proficiency in Javascript (Node) or Python is also acceptable
- Ability to design experiments, select appropriate metrics, determine sample sizes, and explain trade-offs
- Ability to think in funnels and cohorts, not just features
- Comfortable with event-sourced systems or similar architectural patterns
- Experience using agentic AI coding tools (Claude Code, Devin, Cursor, or similar) in daily workflow
- Opinions on how to integrate AI coding tools into a team's development process
- Nice to have: Experience with healthcare, wellness, or regulated subscription commerce
- Nice to have: Familiarity with Stripe billing, Klarna, or similar payment platform integrations
- Nice to have: Experience building or managing Amplitude (or LaunchDarkly, Optimizely, etc.) experimentation infrastructure
Responsibilities
- Lead the Growth engineering team
- Split time roughly 50/50 between management and coding
- Own the lower acquisition funnel, from flow start through checkout, across all Maximus protocols
- 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 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
- 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
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