Location: Basel, Switzerland • Hybrid 3 days/week in office
Internal job title: Associate Director, Agentic AI Solutions Product Manager
About the Role
We 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.
Key Responsibilities
* Lead product management for multiple Agentic AI solutions serving the Research organization, from strategy and roadmap through execution, adoption, and lifecycle management
* Define product vision, value proposition, and success metrics for AI-enabled solutions that improve research productivity, decision support, and operational effectiveness
* Partner with scientific, digital, data, engineering, platform, and business stakeholders to identify high-value use cases and translate them into scalable product capabilities
* Own product planning and prioritization for solutions built on Palantir Foundry and AIP, ensuring alignment with research needs and enterprise architecture standards
* Lead integration efforts between Research Agentic AI products and the Enterprise Agentic Mesh, enabling interoperability, orchestration, and scalable agent-to-agent collaboration
* Develop the strategy for integrations with other enterprise agents and shared AI services, ensuring cohesive user experiences and reusable patterns across the organization
* Define 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
* Establish frameworks for agent lifecycle management, product governance, release planning, and operational readiness
* Work closely with engineering and architecture teams to define requirements for APIs, data products, orchestration patterns, observability, and system integration
* Partner with legal, compliance, privacy, cyber, and risk stakeholders to support responsible and compliant deployment of Agentic AI capabilities
* Act as a thought partner to senior leadership on the evolving role of Agentic AI in Research and the broader enterprise
* Create business cases, product roadmaps, and executive communications that clearly articulate priorities, dependencies, risks, and expected outcomes
* Monitor product performance, user adoption, and business impact, using insights and feedback loops to continuously improve products and platform strategy
* Drive cross-functional operating models and ways of working across product, engineering, data, and research stakeholders in a complex enterprise environment
Essential Requirements
* Bachelor’s degree required; advanced degree preferred in life sciences, computer science, engineering, data science, business, or a related field
* 10+ years’ experience in product management, with experience operating at a strategic level across complex, enterprise-scale technology products
* Strong experience working with AI, machine learning, generative AI, or agentic systems in a product, platform, or transformation capacity
* Experience with Palantir Foundry and or AIP
* Strong understanding of enterprise product delivery, platform operating models, and integration strategy
* Experience 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
* Familiarity with research and development environments in pharma, biotech, or life sciences
* Strong communication, stakeholder management, and executive presentation skills
* Proven ability to translate ambiguous business needs into clear product direction and actionable roadmaps
Desirable Requirements
* Understanding of identity, access, security, and governance concepts for enterprise AI systems
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