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You will be updated with latest job alerts via emailUSD 150000 - 230000
1 Vacancy
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.
Were 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.
Mandolins agent platform is redefining how healthcare and life sciences organizations operatebringing AI-driven decision-making and automation to some of the most complex high-stakes workflows in the industry. As an Agent Product Manager youll be at the heart of this transformation. Youll 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.
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
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
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
Required Experience:
IC
Full-Time