Engineering Manager
Lead cross‑functional engineering teams building an AI‑first telehealth platform, driving product and infrastructure for e‑commerce and clinical workflows with a focus on cloud, ML, and scalable microservices.
About LumiMeds
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.
Platform & Product Engineering — LumiMeds Location: Remote — partial US hours overlap required (minimum 4–5 hours daily overlap with US Pacific/Eastern) Seniority: Manager — Player/Coach
What We're Building
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, and intake infrastructure that moves at the speed our patients expect.
We don't scale engineering by adding headcount. We scale by multiplying leverage — through better systems, better tooling, and better use of AI. Our engineers already orchestrate Claude agent teams in production. Your job is to raise the ceiling on what that means.
The Role
This is a player/coach role for an engineer-turned-manager who is serious about AI-native engineering. You will lead a team of 4–8 full-stack engineers and simultaneously operate as the team's resident expert in designing and running Claude agent teams — using coordinated AI agents as a structural force multiplier on engineering output.
You are not here to run standups and update Jira. You are here to build a team that ships more, faster, at higher quality than any team its size should be able to — by treating AI agent orchestration as a first-class engineering discipline. You will spend roughly 40% of your time coding and in agent pipelines , and 60% managing, designing systems, and raising the team's AI literacy.
What Makes This Role Different
Most engineering managers run teams of humans. You will run a team of humans and a fleet of agents — and your ability to design, direct, and verify agent work is as important as your ability to manage people.
We are not looking for someone who has used Claude or experimented with agents. We need someone who has built real agent pipelines under production pressure — who knows exactly where they break, how to recover, and how to design for reliability at scale. This is the core of the role.
Posted June 22, 2026