Senior / Lead Technical Product Manager — AI-First Platform & Consumer

Lumimeds

1h•Remote

About The Position

LumiMeds is a fast-growing U.S.-based telehealth startup focused on weight management and long-term metabolic health. We are building the next generation of e-commerce and clinical infrastructure from the ground up. As an early-stage company, we move quickly, operate with limited layers, and expect high ownership from every team member. There is no bureaucracy here — decisions happen fast, priorities evolve, and builders thrive. We are a remote-first, globally distributed team that values clarity, accountability, and people who take initiative rather than wait for direction. This role is for an AI-native Product Manager who actively uses AI-assisted workflows in product discovery, documentation, analytics, and roadmap planning — and who thinks natively about how AI can transform both internal workflows and patient-facing experiences. LumiMeds is a high-growth telehealth platform building the operating system for modern virtual care — an AI-accelerated clinical engine, a high-converting e-commerce storefront, a consumer mobile app patients open every day, and intake infrastructure that moves at the speed our patients expect. This is a high-leverage, zero-to-one and one-to-ten role simultaneously. You'll own LumiMeds' most critical product surfaces: Consumer Mobile App, E-commerce & Growth, Clinical Platform & AI, and AI-Powered Workflows. You won't be handed a roadmap. You'll build it — and own the outcomes, technical and commercial.

Requirements

5+ years in PM (e-commerce, fintech, or healthtech) — or a strong engineering background with a shift into product
Hands-on AI use — you've built prototypes, automated workflows, or compressed delivery cycles with LLMs yourself
Technical depth in modern web stacks (Next.js, Node.js, REST/tRPC) — enough to write precise specs and push back in architecture reviews
Commercial fluency — you can reason about LTV, CAC, margin, and conversion, and translate them into product bets
Proven ability to write tickets AI coding agents and engineers can execute with minimal back-and-forth
Experience owning subscription or order-lifecycle state machines
High agency — you decide, you don't wait

Nice To Haves

Software engineer, technical co-founder, or CS grad who crossed into product
Shipped something built with an LLM API (OpenAI, Anthropic) to real users
Launched a consumer mobile app with measurable retention — bring the numbers
Built in a regulated environment (HIPAA, SOC2)
Your tickets have been used directly as prompts for AI coding tools and it worked
You've owned a P&L, run a side business, or can point to a product decision that moved revenue

Responsibilities

Write tickets AI coding agents can execute. Your specs are precise, structured, and unambiguous. Claude Code, Cursor, or a junior engineer can run with them without a 30-minute sync. Acceptance criteria, edge cases, API contracts — all there. Your tickets ship, not loop.
Ship with AI, not just talk about it. You prototype functional flows before engineering is involved. You read AI-generated code, spot where it breaks, and redirect. "Doing the work" includes spinning up a proof-of-concept in a day.
Prioritize for commercial impact. Every roadmap trade-off has a revenue, retention, or margin consequence. You can model it, defend it, and kill features that don't earn their place — even ones you championed.
Own interlocking systems end to end. E-commerce checkout → subscription lifecycle → clinical intake → mobile engagement loop. You understand the state machines deeply enough to catch edge cases engineering misses.
Engage at the architecture level. Opinions about API design, data modeling, and system reliability — backed by technical specificity, not product intuition. You've shipped on Next.js/Node.js and understand how front-end choices propagate downstream.
Drive the consumer loop. DAU, cohort retention, push open rates, conversion — you know these as intimately as your sprint backlog.
Design around compliance, not after it. HIPAA and SOC2 are day-one constraints, not post-launch surprises.
Own Consumer App — Mobile iOS/Android, daily-use health & treatment tracking
Own E-commerce — Storefront, catalog, dynamic pricing, checkout
Own Subscriptions & Billing — Recurring billing, lifecycle, dunning
Own Clinical Platform — EMR integration, intake flows, provider UX
Own AI Features — LLM-powered documentation, workflow automation, agentic ops
Own New Initiatives — Sermorelin, peptides, NAD+ intake overhaul, website redesign