Назад
Company hidden
обновлено 5 дней назад

Lead Technical Product Manager (AI)

107 500 - 188 400$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Lead Technical Product Manager (AI): Driving growth for UpToDate Expert AI products across clinician awareness, acquisition, activation, and early engagement with an accent on experimentation, funnel measurement, and cross-functional product leadership. Focus on optimizing discovery and onboarding across web, mobile, enterprise, and EHR channels, analyzing user behavior, and scaling adoption in clinical, privacy, and regulatory environments.

Location: Remote within the United States; hybrid designation applies, and onsite attendance at a hirify.global office may be required for interviews.

Salary: $107,500–$188,400 USD annually, plus eligibility for a bonus.

Company

hirify.global combines clinical expertise with responsible AI to develop healthcare products that support better care.

What you will do

  • Define and execute the growth strategy for UpToDate Expert AI across awareness, acquisition, activation, and early engagement.
  • Own growth OKRs and identify high-impact opportunities to increase clinician adoption.
  • Improve discovery, access, acquisition flows, onboarding, and early user experiences across web, mobile, enterprise, and EHR channels.
  • Lead experimentation, cohort analysis, instrumentation, and funnel measurement to improve conversion, activation, and early retention.
  • Coordinate marketing, sales, customer success, partnerships, product, engineering, and data teams around shared growth outcomes.
  • Support messaging, positioning, launch strategy, and scalable growth approaches for new AI capabilities.

Requirements

  • 7–10 years of product management experience, including growth, acquisition, or user engagement initiatives.
  • Demonstrated success improving user adoption, activation, or early lifecycle engagement.
  • Strong analytical skills and experience using data to prioritize work and make decisions.
  • Technical fluency and the ability to partner effectively with engineering and data teams.
  • Experience working across multiple functions in complex or enterprise environments.
  • Excellent communication skills and the ability to align diverse stakeholders through ambiguity.

Nice to have

  • Experience in healthcare technology, clinical decision support, or provider-facing products.
  • Familiarity with clinician workflows and technology adoption barriers.
  • Experience with AI/ML-powered products, including LLM-based features.
  • Understanding of HIPAA, SOC 2, HITRUST, or similar regulatory environments.

Culture & Benefits

  • Medical, dental, and vision plans.
  • 401(k), FSA/HSA, and commuter benefits.
  • Tuition assistance.
  • Vacation, sick time, and paid parental leave.
  • Work arrangements combine remote and hybrid options, with possible onsite office attendance during the interview process.

Hiring process

  • Interviews assess individual skills, experience, and communication without AI tools, external prompts, or third-party assistance.
  • Virtual backgrounds must be removed, and in-person interviews may be included.
  • AI-generated responses or third-party support during interviews may result in disqualification.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →