[Remote] Engineering Manager — AI-First Platform & Agent Teams

Note: The job is a remote job and is open to candidates in USA. LumiMeds is a fast-growing U.S.-based telehealth startup focused on weight management and long-term metabolic health. They are seeking an Engineering Manager to lead a team of full-stack engineers while also engaging in hands-on coding and designing AI-native engineering systems. The role emphasizes building high-performing teams and orchestrating Claude agent pipelines to enhance engineering output.

Responsibilities

• Lead and grow a high-performing engineering team. Hire, onboard, coach, and develop 4–8 engineers. Set clear expectations, give direct feedback, and build a culture where velocity and quality are not in tension
• Design and operate Claude agent teams. Architect agent pipelines using the Claude Agent SDK to parallelize engineering work at scale — parallel feature development, automated test coverage, documentation generation, code review passes, and spec-to-implementation workflows. You know how to define subagent roles, manage inter-agent context handoffs, validate outputs, and escalate to human judgment at the right moments
• Stay in the code. You are a working engineer. You write production code, review PRs with technical depth, debug hard problems, and pair with engineers on the work that needs a senior eye. AI augments your output — it does not replace your technical judgment
• Set the AI velocity standard. Define how the team uses AI tooling — Cursor, Claude Code, agent pipelines — and push the frontier. You have strong, specific opinions about how to prompt effectively, which tasks to delegate to agents, and how to verify agent output before it ships
• Own delivery end to end. Run sprint planning, resolve blockers, manage dependencies across product, clinical, and infrastructure. You own outcomes — not just process
• Write tickets AI agents can execute. Your specs are precise, structured, and unambiguous — acceptance criteria, edge cases, API contracts, all present. Claude Code or a junior engineer can run with them without a sync. Your specs don't loop
• Build and own consumer app and e-commerce systems. You've shipped full-stack consumer products end to end — mobile-backed apps, e-commerce storefronts, subscription billing, checkout flows. You understand high-conversion funnel architecture and have built or owned user behavior tracking infrastructure: event schemas, analytics pipelines, conversion funnels, retention dashboards. This is not adjacent to the role — it is the role
• Build and own A/B testing infrastructure. Design and maintain the experimentation platform that powers product decisions — feature flags, experiment assignment, statistical significance tracking, and results dashboards. You've built this before for high-traffic web products. You understand holdout groups, novelty effects, and how to run clean experiments across checkout flows, onboarding, and clinical intake
• Build the systems that make the team scale. Engineering standards, PR review norms, deployment practices, observability, incident response. You build the scaffolding once so the team doesn't rebuild it repeatedly
• Collaborate cross-functionally. Partner with Product, Clinical, and Ops to translate requirements into engineering reality. You are the technical voice in roadmap conversations — not a scheduler, but a decision-maker

Skills

• 6+ years of software engineering experience, including 2+ years in a lead or management role
• Hands-on experience with Node.js / TypeScript backends and Next.js / React frontends — you can read, write, and review production code at a senior level
• Strong database fundamentals: PostgreSQL (schema design, migrations, query optimization), Redis
• Demonstrated experience building and orchestrating multi-agent pipelines — decomposing tasks, defining subagent roles, managing context handoffs, validating agent output
• Production experience integrating LLMs into real systems — streaming, tool use, structured outputs, prompt engineering
• Daily use of Claude Code, Cursor, or equivalent. You have built workflows around these tools, not just used them ad hoc
• Proven experience designing and building web A/B testing platforms from the ground up — not just using third-party tools, but owning the infrastructure
• Deep understanding of experiment design: randomization, assignment consistency, statistical power, holdout groups, and avoiding novelty bias
• Experience running experiments across high-traffic consumer funnels (checkout, onboarding, pricing, landing pages)
• Hands-on experience building consumer apps and e-commerce platforms end to end — storefronts, checkout, subscriptions, billing
• Built user behavior tracking infrastructure: event schemas, analytics pipelines, conversion funnels, retention analysis
• Experience running engineering sprints, managing dependencies, and owning delivery timelines
• Ability to write engineering specs that AI coding agents and engineers can execute with minimal back-and-forth
• Familiarity with AWS (EC2, RDS, Lambda, S3), Vercel, GitHub Actions, and CI/CD pipelines
• Working knowledge of HIPAA/SOC2 requirements — you understand how compliance shapes architecture decisions
• Fluent written and spoken English — all team communication is async in English (Slack, PRs, specs, docs)
• Experience in telehealth, DTC health, or a regulated healthcare environment
• You've built an internal agent framework or tooling layer that other engineers on your team used
• Shipped a consumer mobile app with measurable retention and a backend you owned
• Background in distributed systems or real-time infrastructure (WebRTC, event-driven architectures)
• You've written a post, given a talk, or built something in public about AI-augmented engineering

Company Overview