Senior AI Product Manager, Healthcare Agents

Scale AI•Seattle, WA

5h•$205,600 - $257,000•Remote

About The Position

Scale is seeking an AI Product Manager to lead the Healthcare vertical within the Agents Data & Reinforcement Learning Environments team. This role involves developing RL environments, which are realistic simulations of healthcare software and workflows used for training and evaluating AI agents, and managing the "data as a product" strategy that supports them. The ideal candidate will possess deep domain knowledge of the Healthcare industry, combined with an understanding of AI research and current agent capabilities in healthcare workflows. This expertise will be translated into environments and datasets that train AI agents for real healthcare tasks. The role requires an entrepreneurial and go-to-market mindset, and the individual will serve as the domain expert for Scale's key customers and researchers.

Requirements

2–4 years of direct experience in the Healthcare industry in one or more of: healthcare research, clinicians & clinical staff using EHRs daily, revenue cycle management, or a healthtech product role, with real depth in how the work gets done.
AI-Forward Thinking: Quick to adopt AI solutions to streamline your day-to-day workflows and an ability to understand and articulate how it’s transforming your industry.
A builder’s mindset: excited by ambiguity and motivated to create new products from the ground up.
Product or customer-facing experience: A track record of owning outcomes, shaping roadmaps, or working closely with technical stakeholders (formal PM experience is a plus but not required if domain depth is strong).
ML Intuition & Technical Fluency: Enough intuition around how model training and evaluation works and what a Reinforcement Learning environment looks like. A software background is a plus.
Bias for action: Comfort wearing multiple hats and operating in fast-moving environments.

Responsibilities

Own the Healthcare AI roadmap & data strategy: Set product direction for the Healthcare agents training stack and the data strategy behind it.
Establish a vision for where AI is continuing to transform the Healthcare industry, driving execution across engineering, operations, and go-to-market teams.
Build partnerships with research teams at frontier labs: Work directly with researchers at leading AI labs to understand where their Healthcare agentic capabilities fall short and shape new product lines and competitive strategy for the vertical.
Connect with AI startups and industry leaders to launch joint benchmarks and build Scale’s brand in Healthcare.
Design and scale Healthcare-specific environments: Scope and build simulations of real Healthcare workflows and environments that let labs train and evaluate agents against real world scenarios.
Partner with ML and Operations to translate the judgement, edge cases, and workflows you know from the industry into high quality training products.
Collaborate cross-functionally — influence business priorities and dive into the weeds of research, operations, and customer interactions to deliver mission-critical outcomes.