Technical Product Manager, Consumer (backed by Y Combinator, $5M+ ARR, $20M+ raised)

Legion Health•San Francisco, CA

2d•$150,000 - $240,000•Remote

About The Position

Legion Health is building the AI infrastructure to deliver fast, affordable, and world-class healthcare, starting with psychiatry. Our AI-native care-delivery platform automates administrative work and has received regulatory authorization for AI to prescribe psychiatric medications, aiming to significantly reduce both administrative and clinical labor costs. Our technical advantage lies in combining rich data, production AI, clinician involvement, and end-to-end care operations, resulting in over 25,000 visits in two years with stable operational costs and high patient satisfaction. Unlike previous healthcare startups, Legion is rebuilding care delivery from first principles to achieve a 10x better patient and clinician experience. The company is backed by Y Combinator and prominent venture capital firms and founders. This role focuses on owning the consumer product experience, making AI-native care delivery understandable, trustworthy, usable, and engaging for patients. It requires a blend of technical understanding (APIs, data models, AI workflows, engineering tradeoffs) and consumer-centric design (calm, human, intuitive experiences). The product bar is set high, comparable to leading consumer AI and health tech companies. This is a high-ownership individual contributor role with significant visibility, working directly with various teams including engineering, design, clinical, operations, growth, data, compliance, and founders.

Requirements

5+ years of product management, product engineering, technical founder, or equivalent experience, with meaningful ownership of consumer-facing web or mobile products.
Strong consumer product instincts. You have shipped products that people actually use, understand, trust, and return to, not just internal tools or enterprise workflows.
Technical fluency across software product development. You can reason through APIs, data models, event instrumentation, backend workflows, frontend states, AI workflows, latency, failure modes, privacy constraints, and engineering tradeoffs.
Hands-on technical curiosity. You can navigate API docs, logs, event payloads, session recordings, agent traces, and enough of a codebase to understand what is really happening without pulling engineers into every first-pass investigation.
Experience partnering deeply with engineering and design from problem definition through launch: discovery, PRDs/specs, UX flows, technical scoping, sprint planning, QA, rollout, metric tracking, and iteration.
Strong analytical ability. You are comfortable with SQL or equivalent data exploration, product analytics tools such as PostHog, Amplitude, Mixpanel, Looker, Hex, or Mode, and you can define useful metrics without waiting for someone else to hand you a dashboard.
Track record improving engagement, retention, activation, conversion, habit formation, lifecycle, or core experience metrics in a consumer product.
High product taste and UX judgment. You care about copy, information architecture, interaction design, empty states, error states, mobile responsiveness, notification timing, trust cues, and the emotional texture of the user experience.
AI-native working style. You already use tools like Codex, Claude Code, Cursor, Replit, Lovable, v0, ChatGPT, Claude, Figma AI, or similar tools to prototype, analyze, write, synthesize, debug, and move faster.
Comfort working on AI-enabled products where the PM must think about prompt behavior, user expectations, evaluation, quality thresholds, fallback paths, human review, auditability, and safety.
Startup operating mode: high agency, low ego, high urgency, strong writing, strong judgment, strong follow-through. You can create clarity without waiting for a perfect org chart.
Ability to work cross-functionally with clinical, operations, support, compliance, legal, growth, data, design, engineering, and founders without losing the thread of the user problem.
Excellent writing. You can write crisp strategy docs, product specs, launch plans, decision memos, patient-facing copy, and post-launch analyses.
Bias toward building. You are happiest when you are close to the product, close to users, close to the data, and shipping.

Nice To Haves

Healthcare experience is a strong plus but not required.
Experience in another trust-sensitive consumer category such as fintech, insurance, family/kids, identity, privacy, marketplaces, wellness, or regulated consumer products is also valuable.
Experience at or near companies like Anthropic, OpenAI, Character.AI, Replit, Cursor, Perplexity, Notion, Duolingo, Oura, WHOOP, Chime, Monarch Money, Rocket Money, Acorns, Function Health, Nourish, General Medicine, Circle Medical, Tava Health, Headway, Rula, Midi Health, Evvy, Ro, Hims & Hers, Thirty Madison, Levels, Superpower, or another breakout consumer product with high craft, high trust, and fast iteration.

Responsibilities

Own core patient-facing product surfaces across the full consumer journey: discovery, onboarding, intake, insurance/payment clarity, scheduling, provider fit, visit prep, visit completion, follow-up, care-plan adherence, refills, renewals, messaging, support, retention, and reactivation.
Translate complex clinical, operational, regulatory, and AI workflows into simple consumer experiences that reduce anxiety, increase clarity, and help patients know exactly what to do next.
Build durable product systems, not one-off features: patient timeline, care status, tasking, reminders, notifications, escalation paths, asynchronous messaging, support deflection, eligibility logic, provider availability, and follow-up workflows.
Partner with engineering to scope and ship technically sound products across web, mobile-responsive experiences, backend workflows, APIs, third-party integrations, event pipelines, data models, and AI-assisted workflows.
Define and own product metrics for your surface area, including activation, intake completion, scheduling conversion, first-visit completion, time to care, repeat-visit rate, renewal completion, retention, NPS/CSAT, patient confusion, support burden, no-shows, and ops cost per visit.
Use PostHog, SQL, analytics tools, customer support data, operational dashboards, and qualitative research to identify patient friction, prioritize product bets, and measure whether shipped work moved the right metrics.
Design and run structured experiments where appropriate, while knowing when a healthcare product needs principled product judgment, clinical input, and quality thresholds instead of pure A/B testing.
Own product specs, user stories, acceptance criteria, rollout plans, QA checklists, experiment plans, metric definitions, launch notes, and post-launch readouts with enough clarity that engineering, clinical, ops, and growth can all execute cleanly.
Prototype quickly using Figma, v0, Lovable, Replit, Cursor, Codex, Claude Code, lightweight scripts, no-code tools, or whatever helps you make product ideas concrete before engineering invests real cycles.
Partner with clinical and operations teams to deeply understand real patient and provider workflows, including edge cases: missed appointments, medication refill timing, insurance confusion, state/provider availability, pharmacies, clinical escalations, patient safety concerns, handoffs, and support loops.
Partner with compliance, legal, privacy, and clinical leadership to design AI-enabled product experiences with appropriate safeguards, human review, auditability, expectation-setting, and patient trust.
Improve Legion’s AI product layer: patient-facing AI interactions, AI-assisted intake, personalization, care navigation, workflow automation, internal copilots, clinical/ops review queues, and evaluation loops that make automation safer and more useful over time.
Create product feedback loops from patient conversations, support tickets, provider feedback, drop-off data, session recordings, funnel analytics, and clinical/ops metrics so the roadmap is grounded in real behavior, not vibes.
Work with growth and brand to ensure acquisition promises match the actual product experience, so the patients we bring in understand what Legion does, feel properly oriented, and are more likely to stay in care.
Raise the product craft bar across Legion: clearer flows, better defaults, fewer dead ends, tighter copy, sharper state handling, cleaner mobile experiences, stronger instrumentation, faster iteration, and more rigorous launch quality.