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Role Description
We are looking for an
Applied AI Product Manager
to help us lead the development and execution of AI-powered healthcare products. The Applied AI Product Manager will play a critical role in our success, by bridging the gap between technical teams, clinicians, and business stakeholders, turning complex AI capabilities into actionable, user-centered solutions. The ideal candidate has hands-on experience in applied AI product development, an entrepreneurial spirit, and a proven ability to deliver products from concept to market.
Reporting to the Group Product Manager, you will own key AI product features and their delivery and be crucial in translating clinical and business needs into practical AI solutions; helping us ensure that our technology truly improves our member experience and supports our care teams.
We are building a new Applied AI team, and we aren’t looking for a traditional "clipboard" Product Manager. We are looking for a
Builder
. You are likely a former engineer or data scientist who realized you care more about what we build and why, rather than just how. You don't just write PRDs; you open the IDE, test the APIs, prompt the models, and look at the raw data before you ever open Jira. You believe that in the era of AI, the gap between "Idea" and "Prototype" should be measured in hours, not weeks. You’ve hustled, you’ve created, you’ve implemented, and you love the intensity of a startup in high-growth mode.
The salary range for this role is $170,000 - $190,000 depending on geography and level of experience, plus equity and an annual bonus.
Qualifications
• 4–7 years of product experience, with at least 2+ years specifically building and shipping AI/ML products.
• Strong preference for a CS background or previous experience as a software engineer/data scientist.
• Experience navigating the complexity of healthcare data.
• Ability to read technical documentation and understand API capabilities/limitations independently.
Requirements
• Proven track record of leading solutions that involve RAG (Retrieval-Augmented Generation), multi-step agentic workflows, and advanced LLM architectures.
• Comfortable running SQL queries, inspecting JSON outputs, or looking at raw logs to understand user behavior and model failure modes.
• Obsessed with closing the gap between model performance and real-world adoption, behavior change, and user/business impact.
• Self-starter attitude, comfortable working in a fast-paced dynamic environment.
Benefits
• Stock option plan
• Flexible schedules and remote work
• Chicago and San Francisco offices available
• Self-managed vacation days, within reason
• Paid parental leave
• Health, vision, and dental insurance
• 401K retirement plan