Senior / Lead Technical Product Manager – AI-First Platform, Consumer

Job not on LinkedIn

🕒 April 21

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

⚒️ Technical Product Manager (TPM)

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LumiMeds

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

💊 Pharmaceuticals

👥 B2C

☁️ SaaS

Pharmaceuticals • B2C • SaaS

LumiMeds is a telehealth patient-management platform connecting patients with licensed medical providers to deliver personalized weight-loss and longevity injectable treatments. The company offers telehealth consultations, prescription evaluation, and nationwide delivery of prescription and compounded medications (GLP-1s like semaglutide, tirzepatide, and NAD+), with subscription plans, monthly follow-ups, and direct-to-consumer pricing that does not require insurance.

📋 Description

• 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. • Nice to have: 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.

🏖️ Benefits

• Hard problems. • Real-time data, complex billing, high-stakes reliability, patient experience that can't break. • AI-native from day one. • Our engineers use AI coding agents in production. We expect our PMs to do the same.Small team, massive leverage. • You'll be in the work — fingerprints on everything. • Patient health outcomes, revenue, and company trajectory. Not vanity metrics.