Agent Product Manager

About Mandolin

Nearly all disease will become treatable in our lifetimes, and drug discovery is quickly becoming an engineering discipline. Mandolin is building the “last-mile” delivery infrastructure that gets cutting-edge biologics, cell, and gene therapies to patients faster. Our AI-powered knowledge-worker platform already serves leading infusion clinics, with payers and pharma next in line.

We’re backed by Greylock, SignalFire, Maverick, and founders of famous companies like Yahoo, and led by repeat and exited founders with a team hailing from some of the most technically impressive companies.

Why we need you

Mandolin’s agent platform is redefining how healthcare and life sciences organizations operate—bringing AI-driven decision-making and automation to some of the most complex, high-stakes workflows in the industry. As an Agent Product Manager, you’ll be at the heart of this transformation. You’ll lead the design, deployment, and evolution of AI agents that directly impact how therapies are delivered to patients, how payers manage risk, and how pharma accelerates innovation. This is a deeply cross-functional and customer-facing role that will shape both our product and our customers’ businesses from the ground up.

What you’ll do

Design and architect production-grade AI agents for enterprise customers in new verticals

Embed deeply within our customers to precisely understand their business processes, pain points, and goals

Translate field insights into a clear roadmap for product and engineering teams

Partner closely with Forward Deployed Engineering and Implementations to ensure end-to-end alignment between customer needs, product development and delivery

Must-have experience

Relevant experience building from 0 to 1

Excellent communicator with strong relationship-building skills

Strong technical intuition and systems thinking

Comfortable in fast-paced and ambiguous environments

Nice-to-haves

Experience building or deploying AI / LLM-powered products in production

Domain knowledge in healthcare, life sciences, biotech, or enterprise operations

Prior experience in customer-facing implementation, solutions engineering, or technical consulting

Familiarity with agent frameworks (e.g., AutoGen, CrewAI, LangGraph) or workflow orchestration tools

Strong product instincts with a bias toward experimentation and iteration