13 часов назад
Engineering Manager, Provider Quality (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager, Provider Quality (AI): Building an intelligent, data-driven clinician care platform that transforms session transcripts into chart notes, coaching insights, and quality signals with an accent on full-stack engineering, human-in-the-loop workflows, and clinical safety. Focus on leading engineers, shaping product and technical direction, designing reliable AI-assisted systems, and measuring impact on patient outcomes and clinician effectiveness.
Location: New York City or San Francisco preferred; exceptions may be made for exceptional candidates.
Company
is an AI-native digital health system providing dietitian-led metabolic healthcare through clinicians, medications, lab testing, and AI agents.
What you will do
- Build, lead, and develop a team of 4–5 engineers through coaching, feedback, hiring, onboarding, and performance management.
- Remain hands-on with architecture, pair programming, coding, code reviews, on-call, system design, observability, reliability, and scalability.
- Set the technical and product direction for a clinician-facing quality platform that evolves traditional charts into an intelligent, real-time care experience.
- Build AI-assisted workflows that transform session transcripts into accurate chart notes, coaching insights, and actionable quality signals.
- Partner with clinical leadership, product, design, data, providers, and compliance to define care quality and measure outcomes.
- Establish team operating practices including sprint planning, OKR planning, quarterly planning, and retrospectives.
Requirements
- 6+ years of professional software engineering experience with modern full-stack technologies.
- 2+ years of hands-on engineering management experience, including hiring, performance management, promotions, and career development.
- Strong proficiency with React, TypeScript, Node, PostgreSQL, or similar modern technologies.
- Ability to pair program, contribute directly to implementation, write product requirements, critique designs, size opportunities, and make independent product decisions.
- Experience shipping and owning production systems in fast-moving, ambiguous environments.
- Must be legally authorized to work in the United States.
Nice to have
- AI/ML product experience, especially LLM evaluation or human-in-the-loop systems.
- Experience with clinician-facing products, privacy-sensitive workflows, or regulated technology.
Culture & Benefits
- Full-time role with a high bar for technical and product ownership.
- Work emphasizes candid feedback, resilience, urgency, sound judgment, and comfort with ambiguous problems.
- Opportunity to work on healthcare products focused on patient outcomes, retention, and clinician effectiveness.
- Strong preference for candidates based in New York City or San Francisco, with exceptions for exceptional candidates.
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