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14 часов назад

Product Manager (AI)

250 000 - 290 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Product Manager (AI): Driving product strategy and execution for note generation models within a healthcare AI platform with an accent on model quality, evaluation frameworks, and clinical accuracy. Focus on building world-class evaluation systems, collaborating with ML researchers, and ensuring clinical notes meet professional standards across diverse medical specialties.

Location: Must be based in or willing to relocate to San Francisco, CA. Hybrid role requiring in-office presence on Mondays, Wednesdays, and Fridays.

Salary: $250,000 – $290,000 + Equity

Company

hirify.global is a high-growth healthcare AI startup transforming patient-clinician conversations into structured clinical notes in real-time to improve documentation efficiency and patient care.

What you will do

  • Drive AI product strategy and execution for note generation models and evaluation stacks.
  • Build and scale note quality evaluation systems, including human annotation, LLM judges, and automated backtesting.
  • Partner with clinical leaders to define gold standards and ensure notes reflect specialty-specific terminology and norms.
  • Collaborate with engineering and ML teams to align on architecture, model iteration, and system reliability.
  • Define user control surfaces that balance model automation with clinician oversight.
  • Translate real-world clinical feedback into actionable model development loops.

Requirements

  • 5 to 8 years of product management experience with ML-powered products or platform systems.
  • Deep understanding of model quality measurement, evaluation frameworks, and benchmark design.
  • Strong technical fluency across ML, data pipelines, and distributed systems.
  • Proven track record of delivering high-quality products in domains where accuracy and trust are paramount.
  • Ability to work closely with ML researchers and engineers to drive production impact.
  • Must be able to work from the San Francisco office on a hybrid schedule (Mon/Wed/Fri).

Nice to have

  • Experience building ML observability systems or quality measurement pipelines.
  • Background in clinical, healthcare, or regulated environments.
  • Experience with specialty-specific model adaptations or ambient intelligence products.
  • Experience shipping large-scale ML products with human-in-the-loop workflows.

Culture & Benefits

  • Comprehensive health plans (Medical, Dental, Vision) for employees and families.
  • 401(k) matching and generous HSA contributions.
  • Flexible PTO and 14 paid holidays.
  • Paid parental leave and family-forming benefits.
  • Lifestyle wallet for fitness, professional development, and coworking.
  • Mental health support and sabbatical leave after 5 years.

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