Product Manager, AI Drug Development (Torrevieja)

Company Overview Cheiron is a Stanford-based AI company building the AI-native operating system for drug development. Por favor, asegúrese de leer atentamente los siguientes detalles antes de enviar cualquier solicitud.

Biopharma knowledge work is structurally fragmented. Critical decisions depend on stitching together evidence across literature, clinical trials, regulatory precedent, and patents—spread across disconnected systems. Cheiron replaces this paradigm with a unified intelligence layer: our proprietary Lifesciences Knowledge Graph (LKG), which integrates and structures these data sources into a single, continuously evolving system of record. On top of this foundation, Cheiron deploys workflow-native AI agents that execute real-world R&D;, clinical, and regulatory tasks end-to-end—with full traceability and scientific rigor. Since launching in 2024, Cheiron has achieved rapid general adoption. In Korea, we reached 22% of the biopharma knowledge workforce across 200+ organizations within six months. In the United States, within two months of launch, we onboarded thousands of professionals across hundreds of biopharma companies, driven by strong organic demand. Cheiron is proudly pre-VC, backed by a $6M+ angel round from globally recognized investors, including leaders from the SK and Samsung families and co-authors of "Attention Is All You Need." As we scale our U.S. presence, we are expanding a deeply interdisciplinary team at the intersection of AI, life sciences, and real-world drug development workflows. LinkedIn: the Role This is not a traditional product management role. We are looking for someone who can sit at the intersection of pharma and product — translating the messy, cross-functional reality of clinical, regulatory, medical, and commercial work into AI-native systems that biopharma professionals actually rely on. You will work directly with users (clinical, regulatory affairs, medical affairs, commercial, R&D; teams), with our research and engineering teams, and with our Lifesciences division to design agents and workflows grounded in real domain logic — not generic SaaS abstractions. You will own end-to-end product development for one or more drug development verticals, from ambiguous problem → deployed AI system used in production. Designing agents that reason over clinical, regulatory, and scientific evidence demands both deep workflow understanding and strong instincts for how reasoning systems behave under uncertainty — and you'll be expected to bring both. You will also partner directly with our CPO, who is product/tech-native but does not come from pharma. You'll be the domain counterpart — bringing the clinical, regulatory, medical, and commercial fluency the leadership team relies on to set product direction. For the right person, this is one of the highest-leverage seats at Cheiron: your pharma judgment will shape what we build, what we don't, and how we win in our customers' actual workflows. What You'll Do
- Own end-to-end product strategy for AI-driven pharma workflows across clinical development, regulatory affairs, medical affairs, and commercial
- Translate real-world pharma processes (e.g., trial design, regulatory review, payer strategy, medical information) into product systems and agent behavior
- Define how agents reason over clinical, regulatory, and scientific evidence — making product calls about what to retrieve, what to ground in, when to defer to a human, and how to surface traceability
- Work directly with users — clinicians, RA, MA, and commercial teams — to identify the highest-leverage workflows and ship against them
- Write product specs, evaluation criteria, and agent behavior grounded in domain logic, not generic UX patterns
- Partner tightly with engineering, research, and the Lifesciences team to ship fast, iterate on real user feedback, and scale from early traction to enterprise deployment
- Drive 0→1 product development: from ambiguous problem → deployed AI system used in production
- Bridge the gap between domain experts and the product/engineering org — make sure pharma reality survives all the way into shipped product What We're Looking For We expect candidates to bring both pharma domain depth and product instincts. The strongest profiles have lived inside pharma workflows long enough to know how decisions are actually made, and have shipped to real users.
- Deep pharma domain expertise in at least one of: clinical development, regulatory affairs, commercial strategy, medical affairs, or R&D;
- Track record of shipping product used by pharma or biotech professionals — at a life sciences platform, biotech, pharma, or pharma tech company
- Strong systems thinking: you can model complex, cross-functional workflows, not just features
- Ability to operate at both strategic and execution layers — comfortable writing a roadmap in the morning and a spec in the afternoon
- Comfort with ambiguity, intensity, and the rhythm of an early-stage, fast-shipping environment
- Clear communicator who can articulate a rationale, integrate feedback from technical and clinical stakeholders, and help a team converge on a decision We care more about what you've built and the depth of your domain knowledge than your years of experience. xcskxlj Most strong candidates are 3–7 years into their career, but we're open on either side if the fit is right. Preferred / Nice to Have
- Started in pharma or biotech and moved into product roles, internal tools, or platforms
- Joined an early-stage life sciences or healthcare company before product-market fit and helped get it there
- Experience designing AI-powered or agentic workflows, especially in document- or evidence-heavy domains
- Experience selling into or partnering with biopharma enterprise customers
- Advanced degree in life sciences, medicine, or a related field #J-18808-Ljbffr Postúlate en Kit Empleo: kitempleo.es/empleo/6sr7e0