Technical Product Manager - Healthcare AI

Job Description

Clinical AI Product Lead | $175K–$250K + Equity

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Do you want to work at the intersection of AI, healthcare and product development? Do you want to take ownership of real-world AI agents that fundamentally change how healthcare providers operate, rather than sitting in a traditional product management role focused on roadmaps, meetings and feature delivery?

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A fast-growing, $60M-funded AI startup in New York is building an AI-powered care platform that combines intelligent AI agents with expert clinicians to automate complex clinical workflows and dramatically increase healthcare capacity.

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Their technology is already deployed in real healthcare environments, helping medical teams automate time-consuming processes such as patient recalls, prior authorisations and clinical preparation.

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They're looking for a Clinical AI Product Lead to own a portfolio of AI agents end-to-end, operating like the general manager of a small business – working directly with customers, partnering with engineering and taking responsibility for everything from initial concept through deployment and continuous improvement.

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What You'll Do:

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Own AI Products End-to-End – Take full responsibility for a portfolio of clinical AI agents, from initial discovery and product development through deployment, performance monitoring and ongoing improvement.

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Build Real-World AI Agents – Work directly with engineering teams to develop and ship AI-powered solutions, reviewing code, contributing using tools such as Cursor and Codex, and making technical decisions.

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Work Directly with Healthcare Customers – Partner with clinicians and healthcare organisations to understand complex operational challenges, gather requirements and translate real-world workflows into functioning AI products.

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Drive Product Performance – Define success metrics, evaluate how AI agents perform in production, identify failure points and continuously improve reliability and effectiveness.

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Shape Product Strategy – Own the roadmap for your agents, identify opportunities to expand their capabilities and turn individual customer requirements into scalable product solutions.

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What They're Looking For:

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✔ 3–5 years' experience in product management, technical product ownership or a similar role, ideally within a high-growth technology startup.

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✔ Experience owning complex products or systems end-to-end , ideally at a startup with fewer than 200 employees.

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✔ Strong technical aptitude and coding ability – comfortable reviewing code, working directly with engineers and using AI coding tools such as Cursor or Codex.

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✔ Excellent analytical and problem-solving skills, with the ability to translate ambiguous customer requirements into functioning technical solutions.

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✔ Strong communication and stakeholder management, comfortable working directly with customers, technical teams and senior leadership.

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✔ High ownership, low ego and excited by an intense early-stage environment where you'll operate like a mini-founder, move quickly and solve problems without an existing playbook.

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Why Join?

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Work at the forefront of AI and healthcare technology , building intelligent agents that are already supporting real clinical operations.

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Join a rapidly scaling, $60M-funded AI startup , founded in 2024, with a lean team of approximately 36 people and significant opportunities for ownership.

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$175,000–$250,000 base + competitive equity , with an estimated equity value of $50K–$75K annually at the current valuation.

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Take genuine ownership of an AI product portfolio, with the autonomy to shape product direction, make technical decisions and drive measurable real-world impact.

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️ Work alongside a highly technical founding and engineering team, using TypeScript, React, Node.js, AI/ML and LLMs to build and scale production AI systems.

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New York (Flatiron District) , working in person with the team at least three days per week. Existing US work authorisation required; no visa sponsorship available.

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This is an opportunity for an ambitious, technically minded product leader who wants to do more than manage a roadmap — taking genuine ownership of AI products, getting close to the code and customers, and building intelligent systems that are already changing how clinical care is delivered.