Surgical Data Science Collective (SDSC) Logo

Surgical Data Science Collective (SDSC)

Product Manager

Reposted 6 Days Ago
Remote or Hybrid
5 Locations
5-5 Annually
Senior level
Remote or Hybrid
5 Locations
5-5 Annually
Senior level
The Founding Product Manager will lead the development of AI-driven surgical data products, translating user needs into product requirements and managing the product lifecycle from ideation to deployment.
The summary above was generated by AI

Job Title: Product Manager

Function: Product Manager for SDSC

Location: Hybrid - (Remote considered case by case)

Position Overview:

Surgical Data Science Collective (SDSC) is seeking a Product Manager to lead the development and growth of our AI-driven surgical data products. In this role, you will define product features, convert clinical and research into clear tools, and work cross-functionally with our teams to bring impactful surgical intelligence tools to life. You will play a central role in shaping how surgical video data is transformed into actionable insights that improve outcomes, efficiency, and education across the global surgical community.

This position is ideal for a professional with experience in product management,

health tech data-driven software development. The ideal candidate combines a strong

technical understanding (e.g., data science, computer vision, or analytics platforms) with a deep curiosity about the healthcare and research ecosystem. You should be highly organized, thrive in a fast-paced environment, and excel at turning complex problems into clear, measurable deliverables.

Key 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.

Qualifications:

  • 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.

About us: The Surgical Data Science Collective (SDSC) is a nonprofit on a mission to unlock the power of surgical data. We bring together surgeons, scientists, and engineers to turn surgical videos into searchable, data-rich tools. Using AI, we help uncover insights that improve technique, sharpen decision-making, and elevate patient care. From smarter metrics to secure video libraries, we give surgical teams the tools to ask better questions—and find better answers. Because when surgeons get better, patients do too.

Top Skills

AI
Analytics Platforms
Computer Vision
Data Science

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