hirly

Latent

Product Manager

San Francisco

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Role family
Product management
Seniority
Lead / management
Country
US
Work mode
On-site / unstated
First seen by hirly
1 Sept 2026

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the posting

About Latent

Latent is building the intelligence infrastructure for healthcare. Our clinical AI platform helps health systems streamline medication access by automating complex workflows — prior authorizations, appeals, and 340B compliance. By surfacing relevant clinical evidence from EHR data, we reduce administrative burden and accelerate time-to-therapy for patients.

We recently raised a $60M Series A at a $600M valuation, backed by Conviction, Spark Capital and other leading investors. We 10x'd revenue last year and now work with 40+ of the nation's leading health systems — including Mount Sinai, UCSF, Yale, Ochsner, and Mayo Clinic.

We move fast, operate with high ownership, and build products that directly improve patient care. We're looking for a Product Manager to define and build the next generation of clinical AI products powering healthcare.

The Role

As a Product Manager at Latent, you will own critical product initiatives from strategy through execution. Working closely with engineering, design, GTM, and customers, you'll identify the highest-impact problems in healthcare operations and deliver scalable solutions for large health systems.

What You'll Do

Product Strategy & Ownership

Define product strategy and roadmap aligned with company goals and customer needs

Translate ambiguous problems into clear product plans, requirements, and deliverables

Own product outcomes and metrics for the areas of the platform you lead

Customer Insight & Discovery

Work directly with healthcare customers to understand clinical workflows and operational challenges

Conduct user interviews and synthesize feedback into actionable product insights

Balance customer input with long-term vision and strategic priorities

Execution & Cross-Functional Leadership

Partner with engineering, design, and commercial teams to build and ship products quickly

Write clear product specs and make trade-offs to unblock development

Drive projects from concept through launch and iteration

Metrics & Continuous Improvement

Define success metrics and run experiments to measure product performance

Use data and customer feedback to continuously improve features and workflows

What We're Looking For

Product Experience: 5+ years in product management (or equivalent in engineering, product strategy, or a related field) building enterprise SaaS, AI/automation, or complex workflow products

End-to-End Ownership: Track record of taking a product area from strategy and discovery through launch and measurable outcomes. Experience 0→1 opportunities especially

Customer Obsession: Skilled at embedding with users, running discovery, and translating insights into practical solutions

Collaboration: Thrives in cross-functional environments; builds strong working relationships across engineering, design, GTM, and leadership

Communication: Communicates complex problems and trade-offs clearly to both technical and business audiences

Technical Fluency: Comfortable digging in with engineering on APIs, integrations, system design, and AI-powered workflows

Startup Mindset: Comfortable in fast-paced, ambiguous environments — adaptable, high-ownership, and able to maintain momentum through change

Nice to Have

Experience with AI-powered or data-driven products

Familiarity with healthcare, EHRs, or clinical systems

Background in startups or high-growth environments

Experience building products for operational or workflow-driven use cases

0-to-1 product development experience

Comfort with data and developer tooling: SQL, AI coding assistants (e.g., Cursor), and design tools (e.g., FigmaMake)

Why Join Latent

Work on mission-critical problems at the intersection of AI and healthcare

Ship products that directly improve patient access to life-saving medications

Partner with leading health systems at a fast-growing company

High ownership and the opportunity to shape the future of clinical AI

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