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21 час назад

Senior Data Product Manager (AI)

186 000 - 252 000$
Формат работы
remote (только USA)
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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TL;DR
Senior Data Product Manager (AI): Driving the development and innovation of core healthcare data products supporting a data architecture covering hundreds of millions of patients and tens of billions of transactions with an accent on customer use cases, technical strategy, and evidence-backed prioritization. Focus on designing requirements and evaluation criteria, managing sprints, improving data products, and collaborating with engineering and commercial teams on complex US healthcare data.

Location: Remote within the United States; the company also operates hubs in San Francisco, New York City, and Chicago, with role-specific hybrid arrangements.

Annual base pay: $186,000–$252,000 for the San Francisco Bay Area and New York City; $162,000–$219,000 for all other US locations.

Company

hirify.global builds healthcare data products and software using de-identified real-world patient data, innovative algorithms, and clinical expertise to improve patient care and reduce disease burden.

What you will do

  • Drive product strategy and execution for core healthcare data products.
  • Partner with engineers and engineering leadership on technical strategy, platform tradeoffs, and customer needs.
  • Lead discovery of customer use cases and identify new product opportunities or significant enhancements.
  • Document use cases, define requirements and evaluation criteria, and support high-value analysis.
  • Build a prioritized, evidence-backed backlog and manage day-to-day sprint execution.
  • Collaborate cross-functionally with product, commercial, and data engineering teams while sharing knowledge across the organization.

Requirements

  • Experience in a data-focused role at a B2B technology or software company; prior product management experience is strongly valued.
  • Technical depth with SQL, data models, and data pipelines, plus the ability to engage engineers on tradeoffs.
  • Working knowledge of statistical data analysis and the judgment to identify its misapplication.
  • Experience with US healthcare data and the questions life sciences teams bring to it.
  • Ability to turn ambiguous conceptual goals into actionable requirements with clear definitions of done and quality.
  • Fluency with AI tools for exploring datasets, prototyping concepts, drafting requirements, and testing reasoning.

Culture & Benefits

  • Remote work within the US, with role-specific flexibility and clear expectations.
  • Comprehensive health, dental, and vision insurance.
  • Flexible time off and holidays.
  • 401(k) with company match, disability insurance, and life insurance.
  • Performance-based bonus and potential equity eligibility.
  • AI is expected to be integrated into daily work and product development.

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