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Ember AI

Agent Product Manager

Burlingame, CA

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hirly's read of this role

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

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

What We’re Building

Behind every healthcare provider is a mountain of admin that gets in the way of getting paid for the care they deliver.

Ember AI is building advanced agents to take that work off their plate, and help healthcare providers get paid for the care they deliver, without all the admin. We’re growing very fast, at 200% month on month which is why we need you!

We’re backed by YC, Nexus Venture Partners and already working with physician groups and healthcare systems across the US.

A bit about the founders: Charlene, was a Product Lead at Google focusing on Healthcare AI, and Warren an MIT AI researcher with experience at NVIDIA and MIT CSAIL.

About the Role

We’re looking for an exceptional Product Manager to own major areas of Ember’s AI agent platform.

You’ll become the SME for the product surfaces you own: understanding the customer problem deeply, defining what the agent should do, and working with engineering and operations to turn that understanding into a reliable product.

Our teams operate in fluid pods organized around the problem at hand. Depending on the initiative, you might work closely with engineers, agent operators, healthcare experts, customer-facing teams, or the founders.

What You’ll Do

Own meaningful areas of Ember’s agent platform, from problem definition and product strategy through launch and continuous improvement.

Talk directly with customers and users to understand how their work happens today, where it breaks down, and which problems are most valuable to solve.

Translate complex workflows, customer needs, and business goals into clear product requirements, agent behavior, edge cases, and success criteria.

Partner closely with engineering to design and ship AI-native products that are useful, reliable, and trusted in real healthcare environments.

Define how agent quality should be measured, including accuracy, reliability, coverage, efficiency, adoption, and customer outcomes.

Review agent behavior, production failures, customer feedback, and product data to decide what to improve next.

Make thoughtful prioritization decisions across customer value, business impact, product quality, and engineering effort.

Help shape Ember’s broader product strategy, roadmap, and product-development practices as the company grows.

Use modern AI tools to research, prototype, analyze data, and communicate ideas more quickly.

Work alongside agent operators and other customer-facing teammates, while maintaining clear ownership of product direction and long-term product quality.

About You

~2 - 4 years of product management experience and have owned meaningful product areas or complex features.

Demonstrate exceptional product judgment, structured thinking, and learning speed.

Experience taking an ambiguous problem, understand it deeply, and give a team clear direction.

Customer-oriented and want to understand how users work.

Ability to move between strategic thinking and detailed execution without losing sight of the outcome.

You are analytical and comfortable using product data, customer evidence, and first-principles reasoning to make decisions.

You communicate clearly in writing and conversation and can create alignment across technical and non-technical teams.

You thrive in a fast-moving environment where teams and responsibilities flex around the most important problem.

Nice to Haves

Experience working at an early-stage or high-growth startup.

Experience with AI agents, LLM applications, automation, or other products with probabilistic behavior.

Familiarity with healthcare revenue-cycle management, claims, coding, prior authorization, denials, or payer-provider workflows.

Experience working closely with operations or customer-facing teams on complex deployments.

Comfort using SQL, analytics tools, logs, or lightweight prototypes to answer your own questions.

Experience defining product-quality metrics or evaluation frameworks.

Original posting on Ember AI's site ↗

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