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

Location: Remote (USA, Eastern Europe, Brazil)

Seniority: Senior / Lead — Individual Contributor

We are looking 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.

Role Overview

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.

We move fast. We use AI to compress weeks into days. We expect extreme ownership — and we give it back to you.

A high-leverage, zero-to-one and one-to-ten role simultaneously. You'll own LumiMeds' most critical product surfaces:

• Consumer Mobile App — the habit-forming product patients return to daily
•  E-commerce & Growth — storefronts, dynamic pricing, subscription engines
• Clinical Platform & AI — checkout → EMR → provider consultation flow
• AI-Powered Workflows — where LLMs replace or accelerate operations across the company

You won't be handed a roadmap. You'll build it — and own the outcomes, technical and commercial.

The Ideal Background

We're looking for someone who could have been a software engineer — and probably considered it. You've written code, read production systems, or shipped personal projects. You chose product because you care more about what gets built than how, but the "how" never stopped making sense to you.

You also think like an operator. You understand unit economics, LTV/CAC, funnel math, and margin — not as buzzwords, but as the lens through which you prioritize. You can explain why a feature matters in dollars, not just delight.

The best PMs here are indistinguishable from senior engineers in technical conversations, and from founders in commercial ones.

What You'll Actually Do

• 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.
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