Lead Software Engineer / Tech Lead Manager, Growth
Fully Remote (North America / South America)Full-TimeLead
Salary150000 - 200000 USD per year
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Job Details
- Required Skills
- AWSDockerPostgreSQLCypressGCPRubyRuby on RailsTypeScriptRedisReactGitHub Actions
Requirements
- Led a team of 4-8 engineers before, with direct reports grown and retained.
- Shipped and measured growth experiments in a subscription product (signup funnels, checkout optimization, pricing and plan architecture).
- Write production Ruby on Rails and React code (strongly preferred). Javascript (Node) or Python also acceptable.
- Can design an experiment, pick the right metric, set a sample size, and explain trade-offs to a PM.
- Think in funnels and cohorts, not just features.
- Comfortable with event-sourced systems or similar architectural patterns where state is derived from event streams.
- Use agentic AI coding tools (Claude Code, Devin, Cursor, or similar) in daily workflow and have opinions on integration into team development.
- Experience with healthcare, wellness, or regulated subscription commerce (strongly preferred).
- Familiarity with Stripe billing, Klarna, or similar payment platform integrations (strongly preferred).
- Experience building or managing Amplitude (or LaunchDarkly, Optimizely, etc.) experimentation infrastructure (strongly preferred).
Responsibilities
- Lead the Growth engineering team, splitting time 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.
- 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.
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