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

LumiMeds is a fast-growing U.S.-based telehealth startup focused on weight management and long-term metabolic health. They are seeking an AI-native Product Manager who will own critical product surfaces and drive the development of their AI-first platform. The role involves building product roadmaps, engaging in technical discussions, and ensuring compliance with industry standards.

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

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
• 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