PpLocation: Basel, Switzerland • Hybrid 3 days/week in office /ppInternal job title: Associate Director, Agentic AI Solutions Product Manager /ph3About the Role /h3pWe are seeking a Product Manager Agentic AI Solutions to lead the product strategy, development, and enterprise integration of a portfolio of Agentic AI solutions supporting our Research organization. This role sits at the intersection of product management, AI platform strategy, research informatics, enterprise architecture, and governance, with a strong focus on solutions built on Palantir Foundry and AIP. /ph3Key Responsibilities /h3ulliLead product management for multiple Agentic AI solutions serving the Research organization, from strategy and roadmap through execution, adoption, and lifecycle management /liliDefine product vision, value proposition, and success metrics for AI-enabled solutions that improve research productivity, decision support, and operational effectiveness /liliPartner with scientific, digital, data, engineering, platform, and business stakeholders to identify high-value use cases and translate them into scalable product capabilities /liliOwn product planning and prioritization for solutions built on Palantir Foundry and AIP, ensuring alignment with research needs and enterprise architecture standards /liliLead integration efforts between Research Agentic AI products and the Enterprise Agentic Mesh, enabling interoperability, orchestration, and scalable agent-to-agent collaboration /liliDevelop the strategy for integrations with other enterprise agents and shared AI services, ensuring cohesive user experiences and reusable patterns across the organization /liliDefine and drive the product strategy for Agentic Identity and Security, including trusted access models, authorization approaches, auditability, governance, and risk-aware deployment practices in partnership with security and platform teams /liliEstablish frameworks for agent lifecycle management, product governance, release planning, and operational readiness /liliWork closely with engineering and architecture teams to define requirements for APIs, data products, orchestration patterns, observability, and system integration /liliPartner with legal, compliance, privacy, cyber, and risk stakeholders to support responsible and compliant deployment of Agentic AI capabilities /liliAct as a thought partner to senior leadership on the evolving role of Agentic AI in Research and the broader enterprise /liliCreate business cases, product roadmaps, and executive communications that clearly articulate priorities, dependencies, risks, and expected outcomes /liliMonitor product performance, user adoption, and business impact, using insights and feedback loops to continuously improve products and platform strategy /liliDrive cross-functional operating models and ways of working across product, engineering, data, and research stakeholders in a complex enterprise environment /li /ulh3Essential Requirements /h3ulliBachelor’s degree required; advanced degree preferred in life sciences, computer science, engineering, data science, business, or a related field /lili10+ years’ experience in product management, with experience operating at a strategic level across complex, enterprise-scale technology products /liliStrong experience working with AI, machine learning, generative AI, or agentic systems in a product, platform, or transformation capacity /liliExperience with Palantir Foundry and or AIP /liliStrong understanding of enterprise product delivery, platform operating models, and integration strategy /liliExperience leading cross-functional initiatives involving business, technical, architectural, and governance stakeholders, with demonstrated ability to manage multiple products or workstreams simultaneously in a matrixed global organization /liliFamiliarity with research and development environments in pharma, biotech, or life sciences /liliStrong communication, stakeholder management, and executive presentation skills /liliProven ability to translate ambiguous business needs into clear product direction and actionable roadmaps /li /ulh3Desirable Requirements /h3ulliUnderstanding of identity, access, security, and governance concepts for enterprise AI systems /li /ul /p #J-18808-Ljbffr