Senior Product Manager, Intelligence

The Intelligence Platform turns health data into value - AI-powered recommendations for consumers, dashboards and insights for enterprise clients, and the analytics foundation that powers personalization across everything we do. You'll work alongside a strong AI engineering team to ship intelligent products that users and clients actually pay for.

This is a Senior PM role focused on execution and delivery. You'll translate AI and data capabilities into shipped products, not define the AI strategy from scratch.

You'll be responsible for:

• AI-powered recommendations and personalization features
• Enterprise client dashboards and reporting products
• Data operations - eligibility files, client data pipelines, data quality
• Analytics and insights that demonstrate value to clients

Why this role is exciting:

• AI that ships: you'll work with a capable ML team to build real products, not prototypes
• Client impact: enterprise clients will use and pay for what you build
• Data products at scale: millions of records, real business decisions
• Growing space: health data intelligence is increasingly what differentiates platforms

What success looks like in the first year:

• Ship AI-powered features that reach production and demonstrate measurable impact
• Own and improve enterprise dashboards and reporting products
• Streamline data operations to reduce manual work and improve accuracy
• Build strong partnerships with AI engineering, client success, and analytics teams
• Establish clear metrics for intelligence product value

What we're looking for;

• 5 + years of product management experienceAt least 2 years working on data products, analytics, or AI/ML features
• Experience shipping ML-powered features to production (not just experimentation)
• Comfort discussing technical trade-offs with data scientists and ML engineers
• Experience with B2B data products - dashboards, reporting, client-facing analytics
• Strong analytical skills and ability to translate data into decisions
• Clear communication across technical and non-technical stakeholders

Even better if you have:

• Healthcare or healthtech background
• Experience with recommendation systems or personalization
• Background in enterprise SaaS or client-facing data products
• Startup or scale-up experience

You'll thrive here if:

• You believe AI products should solve real problems, not impress demos
• You can bridge the gap between data science and business stakeholders
• You're comfortable with ambiguity and imperfect information
• You care about shipping, not just strategizing
• You want to build data products that clients genuinely value