Senior Product Manager

DeepScribe is building AI agents that automate and transform clinical workflows, aiming to create an ambient operating system for healthcare. They are seeking a Senior Product Manager to expand their AI-powered functionality and improve provider workflows by collaborating with various teams and engaging with enterprise customers and EHR partners.

Responsibilities:

• Collaborate cross-functionally with dedicated, high-performing Engineering, Product, Design, and GTM teams to build products that meaningfully improve the lives of clinicians and the healthcare ecosystem
• Own outcomes end-to-end—defining product strategy, setting goals, moving key metrics, and delivering real business and user impact using every tool in your PM toolkit
• Work closely with complex enterprise customer organizations and EHR partners to co-develop solutions that fit into real-world workflows
• Leverage cutting-edge AI practices and rapidly evolving technologies to build reliable, best-in-class AI agents, and serve as a thought leader on how DeepScribe uses AI in both product and internal processes
• Shape team culture and execution, building a high-trust, high-ownership squad that learns quickly, communicates openly, and ships with excellence

Requirements:

• 3+ years of Product Management experience building and shipping AI-powered products in healthcare
• Track record of delivering outcomes: You've consistently delivered measurable business and user results—improving engagement, adoption, and revenue through strong product thinking and crisp execution
• Driven: Motivated to build a successful, scalable business that helps doctors spend more time helping patients
• Exceptional Communicator: Excellent written and verbal communication, effective storytelling, and a professional representative for DeepScribe in front of customers and partners
• Strategic & action-oriented decision maker: You form data-backed opinions, actively seek disconfirming evidence, and drive clarity and momentum in ambiguous spaces
• Technical acumen: Comfortable reading AI/ML research, designing agentic system architectures, evaluating model performance, and working closely with engineering and ML teams
• Craft: You take pride in what you ship—upholding high standards for user experience, design, robustness, and engineering quality