Product Manager, AI

Position Overview

What You’ll Do

• Own the product lifecycle for AI/ML-based features and services, from discovery through launch and iteration.

• Work closely with data scientists, ML engineers, and software teams to scope, refine, and deliver technical solutions that drive business value.

• Lead product discovery to uncover unmet business needs and define clear, technically grounded product requirements.

• Partner with business stakeholders to translate strategic goals into actionable product roadmaps.

• Serve as the primary point of contact for your AI product areas, helping connect business context with technical implementation.

• Facilitate the intake, evaluation, and prioritization of new AI/ML use cases.

• Track and report on product KPIs, adoption metrics, and impact stories.

• Work with cross-functional teams, including engineering, operations, architecture, marketing, and customer success to ensure smooth delivery and adoption.

• Tell a compelling story around the real-world impact of AI in healthcare—mapping product decisions back to patient or provider outcomes.

Who You Are

• You have 3+ years of product management experience, ideally in a technical or data-heavy environment.

• You are passionate about AI/ML and have helped deliver or manage AI or advanced analytics products.

• You have strong technical fluency: you’re comfortable talking about model infrastructure, APIs, data pipelines, and limitations of ML, even if you’re not a developer.

• You bring experience with tools like SQL, Python, R, or cloud platforms (AWS, Azure, GCP)—even if only at the conceptual or analytical level.

• You understand the nuances of AI/ML product lifecycles, including experimentation, model iteration, and performance metrics.

• You’ve worked in agile environments, and you’re confident with tools like Jira and Confluence.

• You’re comfortable navigating ambiguity, proactively managing competing priorities, and influencing stakeholders without authority.

• You’re intellectually curious, action-oriented, and love working at the intersection of business, data, and technology.

Nice to Have

• Experience in the healthcare industry, especially working with claims, clinical, or financial datasets.

• Familiarity with ML Ops practices, GenAI solutions, or prompt engineering.

• Experience supporting AI product adoption across business units or customer groups.

• Exposure to tools like Snowflake, Databricks, SageMaker, or vector databases.

This Role Is Not For You If:

• You’ve only worked in project coordination or business analyst roles without direct product ownership.

• You lack technical fluency or comfort speaking with engineers and data scientists.

• You expect a team of product managers or designers reporting to you—this is an individual contributor role.

Why Join Us

• Be part of a transformative data & AI team within a healthcare technology leader.

• Work on real-world AI problems with measurable business and human impact.

• Gain significant visibility across executive stakeholders, product, and engineering.

• Enjoy flexibility, autonomy, and a culture that rewards initiative and learning.