Principal Product Manager, AI Products

We Breathe Life Into Data

At the company, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At the company, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.

The Opportunity at the company

The company's AI Platform and Services organization builds the platform every AI product at the company runs on: agent infrastructure, evals, data context, and the surfaces customers touch. Small pods build on shared primitives and ship in weeks. Product managers here build the first versions of what they propose and to iterate alongside their teams quickly.

The suite that built this business was designed for an analyst at a screen. The platform underneath it now reasons. Our flagship product Navigator runs investigations that used to take a person weeks, and an ai-augmented product suite interoperates with it to streamline workflows. We are just getting started. What the next generation of the suite actually is remains an open question, and today it needs ownership.

That question is this seat. You will define the next generation of the company's product suite and prove it by building it. The current surfaces are your material and your distribution. The mandate is what comes after them. Principal here means your answer sets the pattern for every surface that follows. This is a hands-on individual contributor role. You will lead through your thesis and your builds, embedded in small engineering pods, not through a team of direct reports.

Looking back on your first 12 months at the company, you will have…

• Put a thesis on record for what the next generation of the suite is, argued in working software customers have touched, and won cross-functional and leadership support for it.

• Built the first version of at least two new products from that thesis yourself, then ran a pod of four or fewer from prototype to GA with no dedicated project management.

• Those products live in customer environments, with measurable revenue, adoption, or retention impact.

• Made the current suite smaller. At least one existing legacy solution retired or folded into its successor, without customer churn.

• You will accomplish these outcomes through the following responsibilities:

• Own the thesis for what customers touch. Study how they actually work, decide what should exist, and revise the argument as models improve.

• Build first versions with AI tools and platform primitives. Bring engineering in to scale what shows value, and drop what does not.

• Work inside customer environments when the problem calls for it, scope in real time while contracts are being negotiated, and treat deployment as part of the product.

• Propose and defend the shape of the growing portfolio. As the new generation lands, you decide what the existing solutions become.

• Package for the field. Partner with sales and marketing on what we sell, run the market analysis behind it, and make sure every new product can be positioned, enabled, and sold.

• Set the pattern. Your architecture and your build habits become how the surface pods around you work.

What you bring to the company (required)

• Builds the first version. You will show us something you built, not something you managed, this is evaluated in the interview.

• AI native at product depth. You can reason at a low level about the AI products you intend to ship: context and grounding, evals and quality gates, agent behavior, and cost. Using chat tools to work faster is the baseline everywhere, so it earns nothing here.

• Comfortable inside customer environments and contracting cycles, with the judgment to commit responsibly in real time.

• Zero to one at Principal  scope. 10+ years in product, including at least one product you conceived and shipped that earns real revenue today. We will ask what existed before it, and what was retired to make room for it.

• Excellent written communication. Your reasoning gets adopted because it is clear.

Additional skills and experience we’d prioritize (nice to have)…

• Healthcare or regulated data experience (claims, EHR, patient journeys, provider analytics), or a track record of getting fluent fast in a comparably complex data domain like supply chain, energy, or financial data. Time at a company through a platform transition. Experience retiring a product without losing its customers.

• Experience interacting with, managing, or building with AI agentic workflows

#LIRemote

The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.

The starting annual base pay for this role is listed below. This position may be eligible for performance-based bonuses as determined in the Company’s sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

San Francisco Bay Area and New York City

$245,000 — $288,000 USD

All Other US Locations

$213,000 — $250,000 USD

The company's AI Standard

At the company, we're not just witnessing the AI revolution – we're leading it. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar. We've already established industry leadership in leveraging AI to revolutionize healthcare, and we expect every team member to contribute. AI here isn't optional; it's foundational. We expect you to integrate AI into your daily work – from summarizing documents to automating workflows and uncovering insights. This isn't just about efficiency; it's about making every moment more meaningful, building on trust in AI, and driving our collective success.

Join us in shaping the future of healthcare intelligence.

Where You’ll Work

The company has a hybrid work model with hubs in San Francisco, New York City, and Chicago. Roles vary — some can be performed from anywhere in the country, others are scoped to a specific region, and some are based near one of our hubs. For hub-based Dragons, we're building intentional in-office rhythms alongside the flexibility that's core to how we work. Whatever your setup, expectations will always be clear before you join.

Equal Opportunity Statement

The company provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

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