3 дня назад
Principal Product Manager, Privacy, Health (AI)
142 800 - 274 800$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Product Manager, Privacy, Health (AI): Building privacy strategy, product controls, and governance for health AI products such as Copilot Health and frontier AI models with an accent on sensitive health data, user rights, and regulatory compliance. Focus on translating privacy requirements into scalable engineering controls, leading design reviews, and governing data collection, sharing, retention, and deletion across the product lifecycle.
Location: Redmond, United States
Salary: USD $142,800–$274,800 per year across the U.S.; USD $188,000–$304,200 per year in the San Francisco Bay Area and New York City metropolitan area.
Company
AI develops AI products, including health-focused experiences and frontier AI models.
What you will do
- Partner with health engineering, product, and clinical stakeholders on privacy decisions across product experiences, user flows, defaults, and sensitive data use.
- Define and prioritize privacy controls for health AI scenarios, translate them into engineering requirements, and drive implementation.
- Lead privacy design reviews covering data handling, model behavior, transparency, and user choice.
- Own data governance expectations for collection, use, sharing, retention, and deletion across the health product lifecycle.
- Monitor health and data policy developments and drive product, engineering, and program improvements.
- Establish repeatable privacy patterns, tooling recommendations, governance metrics, and engineering enablement practices.
Requirements
- Bachelor’s degree and 8+ years of experience in product, service, or program management or software development, or equivalent experience.
- 6+ years of experience disrupting a market for a product, feature, or experience.
- 4+ years of practical experience creating and maintaining compliance programs and conducting privacy reviews.
- Experience translating privacy and policy requirements into shipped product controls with engineering partners.
- Experience with health privacy, health policy, health data governance, and regulations such as HIPAA and GDPR.
- Experience leading ambiguous, cross-functional work and communicating with engineering and executive audiences.
Nice to have
- Bachelor’s degree in Computer Science or a related discipline.
- Experience leading privacy or compliance engineering programs for AI/ML products or data-intensive platforms at scale.
- Experience with data flow mapping, data classification, consent infrastructure, threat modeling, DSR tooling, retention enforcement, and telemetry governance.
- IAPP CIPP or CIPM certification.
- Team and project management experience on medium-to-large-scale projects, including scope, schedule, and budget management.
Culture & Benefits
- Cross-functional work across engineering, product, clinical, and executive stakeholders.
- Opportunity to shape privacy, safety, and trust for health AI products handling sensitive information.
- Benefits and additional compensation may be available depending on role eligibility.
- is an equal opportunity employer and provides reasonable accommodations during the application process.
Hiring process
- Applications are accepted on an ongoing basis until the position is filled.
- The position will remain open for a minimum of five days.
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