Full-Time

Product Manager

SDSC

Surgical Data Science Collective

Surgical Data Science Collective

11-50 employees

Nonprofit AI-assisted surgical education platform

No salary listed

Boston, MA, USA + 3 more

More locations: Washington, DC, USA | Austin, TX, USA | Chicago, IL, USA

Hybrid

Hybrid role; remote may be considered case by case.

Category
Product (1)
Required Skills
Data Science
Product Management
Computer Vision
Requirements
  • Bachelor’s degree in engineering, computer science, biomedical sciences, or a related field; advanced degree or product management certification a plus.
  • 5 years of product management experience, ideally in health tech, medical AI, or data-driven platforms.
  • Proven track record leading products from concept to launch, preferably within regulated or clinical environments.
  • Strong technical fluency — able to collaborate effectively with engineers and data scientists, and translate complex clinical or research needs into clear product requirements.
  • Strategic and analytical thinker with experience defining roadmaps, KPIs, and product success metrics.
  • Excellent communicator skilled at managing cross-functional stakeholders across technical, research, and clinical domains.
  • Comfortable operating in a fast-moving, distributed, and mission-driven environment.
Responsibilities
  • Define and own the product roadmap for SDSC’s surgical video analytics and data science tools across multiple domains (computer vision models, SVP features, admin console) .
  • Translate user needs and research objectives into technical requirements and prioritized product milestones.
  • Collaborate with cross-functional teams to ensure timely and high-quality product delivery.
  • Manage product lifecycle from ideation and prototype to validation and deployment.
  • Gather and synthesize feedback from our users to continuously refine products.
  • Establish metrics to measure product success and adoption across partner institutions.
Surgical Data Science Collective

Surgical Data Science Collective

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Surgical Data Science Collective (SDSC) is a nonprofit platform that stores and provides access to secure surgical procedure videos to support global education. It uses artificial intelligence and data science to give feedback and insights to surgeons, helping them improve performance and skills. The platform enables collaboration among medical professionals, scientists, and tech experts to advance surgical research and education, with revenue coming from partnerships with medical institutions and research entities rather than from profit. Unlike some for-profit training providers, SDSC prioritizes educational impact and broad accessibility. The overall goal is to lift surgical practice worldwide by expanding access to high-quality training resources and data-driven feedback.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Washington DC, District of Columbia

Founded

2022

Simplify Jobs

Simplify's Take

What believers are saying

  • Earned 2025 Anthem Awards Bronze for AI in health.
  • Secured AWS $50,000 Health Equity grant in 2024.
  • Partnered Stanford for first AI-powered surgical course August 2024.

What critics are saying

  • Free access pledge eliminates neurosurgical monetization in 6-18 months.
  • Stryker and Medtronic integrate AI into OR equipment within 12-18 months.
  • NIH 39.3% FY2026 cuts trigger funding crisis in 18-36 months.

What makes Surgical Data Science Collective unique

  • SDSC operates largest US repository with 14,000 de-identified surgical videos.
  • Nonprofit status prioritizes surgeon empowerment over market pressures.
  • Pledged free neurosurgical platform access via 2025 Boston Declaration.

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Benefits

Health Insurance

401(k) Company Match

Flexible Work Hours

Company News

Surgical Data Science Collective
Apr 29th, 2025
SDSC Pledges Free Access to our Neurosurgical Platform Library for All

On April 24, Surgical Data Science Collective (SDSC) gathered with the leaders of the global neurosurgical community for the 2025 Boston Declaration, held at the Edward M. Kennedy Institute in Boston, MA.