Engineering Manager — AI-First Platform & Agent Teams

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.

• Break complex engineering initiatives into agent-executable subtasks with crisp acceptance criteria

• Design multi-agent pipelines — parallel subagents for feature branches, test generation, code review, and documentation — and stitch their outputs into production-ready deliverables

• Set the team's standards for when to use agents, how to prompt them effectively, how to verify their outputs, and when to override them

• Treat agent output as team output — you are accountable for everything the agents on your team produce

• Continuously raise the ceiling: as the models improve, you update the playbook

What You'll Actually Do Lead and grow a high-performing engineering team. Hire, onboard, coach, and develop 4–8 engineers. Set clear expectations, give direct feedback, and build a culture where velocity and quality are not in tension.

Design and operate Claude agent teams. Architect agent pipelines using the Claude Agent SDK to parallelize engineering work at scale — parallel feature development, automated test coverage, documentation generation, code review passes, and spec-to-implementation workflows. You know how to define subagent roles, manage inter-agent context handoffs, validate outputs, and escalate to human judgment at the right moments.

Stay in the code. You are a working engineer. You write production code,...