<div class="content-intro"><p data-start="216" data-end="234"><strong data-start="216" data-end="234">About LumiMeds</strong></p> <p data-start="251" data-end="466">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.</p> <p data-start="468" data-end="684">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.</p> <p data-start="686" data-end="834">We are a remote-first, globally distributed team that values clarity, accountability, and people who take initiative rather than wait for direction.</p></div><p><strong>Platform & Product Engineering — LumiMeds</strong><br> <strong>Location:</strong> Remote — partial US hours overlap required (minimum 4–5 hours daily overlap with US Pacific/Eastern)<br> <strong>Seniority:</strong> Manager — Player/Coach</p> <h2>What We're Building</h2> <p>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.</p> <p>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.</p> <h2>The Role</h2> <p>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 <strong>Claude agent teams</strong> — using coordinated AI agents as a structural force multiplier on engineering output.</p> <p>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 <strong>40% of your time coding and in agent pipelines</strong>, and 60% managing, designing systems, and raising the team's AI literacy.</p> <h2>What Makes This Role Different</h2> <p>Most engineering managers run teams of humans. You will run a team of humans <strong>and</strong> a fleet of agents — and your ability to design, direct, and verify agent work is as important as your ability to manage people.</p> <p>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.</p> <ul> <li>Break complex engineering initiatives into agent-executable subtasks with crisp acceptance criteria</li> <li>Design multi-agent pipelines — parallel subagents for feature branches, test generation, code review, and documentation — and stitch their outputs into production-ready deliverables</li> <li>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</li> <li>Treat agent output as team output — you are accountable for everything the agents on your team produce</li> <li>Continuously raise the ceiling: as the models improve, you update the playbook</li> </ul> <h2>What You'll Actually Do</h2> <p><strong>Lead and grow a high-performing engineering team.</strong> 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.</p> <p><strong>Design and operate Claude agent teams.</strong> Architect agent pipelines using the <strong>Claude Agent SDK</strong> 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.</p> <p><strong>Stay in the code.</strong> You are a working engineer. You write production code, review PRs with technical depth, debug hard problems, and pair with engineers on the work that needs a senior eye. AI augments your output — it does not replace your technical judgment.</p> <p><strong>Set the AI velocity standard.</strong> Define how the team uses AI tooling — Cursor, Claude Code, agent pipelines — and push the frontier. You have strong, specific opinions about how to prompt effectively, which tasks to delegate to agents, and how to verify agent output before it ships.</p> <p><strong>Own delivery end to end.</strong> Run sprint planning, resolve blockers, manage dependencies across product, clinical, and infrastructure. You own outcomes — not just process.</p> <p><strong>Write tickets AI agents can execute.</strong> Your specs are precise, structured, and unambiguous — acceptance criteria, edge cases, API contracts, all present. Claude Code or a junior engineer can run with them without a sync. Your specs don't loop.</p> <p><strong>Build and own consumer app and e-commerce systems.</strong> You've shipped full-stack consumer products end to end — mobile-backed apps, e-commerce storefronts, subscription billing, checkout flows. You understand high-conversion funnel architecture and have built or owned user behavior tracking infrastructure: event schemas, analytics pipelines, conversion funnels, retention dashboards. This is not adjacent to the role — it is the role.</p> <p><strong>Build and own A/B testing infrastructure.</strong> Design and maintain th