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
Average salary estimate
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