Product Manager, Agentic AI Solutions

Key Responsibilities Lead product management for multiple Agentic AI solutions serving the Research organization, from strategy/roadmap through execution, adoption, and lifecycle management. Define product vision, value proposition, and success metrics for AI-enabled solutions improving 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 capabilities. Own planning and prioritization for solutions built on Palantir Foundry and AIP, aligned to research needs and enterprise architecture standards. Lead integration between Research Agentic AI products and the Enterprise Agentic Mesh to enable interoperability, orchestration, and agent-to-agent collaboration. Develop integration strategy for other enterprise agents and shared AI services to ensure cohesive user experiences and reusable patterns. Drive product strategy for Agentic Identity and Security (trusted access, authorization, auditability, governance, risk-aware deployment). Establish agent lifecycle management, product governance, release planning, and operational readiness frameworks. Define requirements with engineering/architecture for APIs, data products, orchestration patterns, observability, and system integration. Partner with legal/compliance/privacy/cyber/risk stakeholders for responsible and compliant deployment. Create business cases, roadmaps, and executive communications; monitor adoption and impact; drive cross-functional operating models. Essential Requirements Bachelor’s degree required; advanced degree preferred in life sciences, computer science, engineering, data science, business, or related. 10+ years product management experience at enterprise-scale. Strong experience with AI/ML/generative AI/agentic systems in product/platform/transformation roles. Experience with Palantir Foundry and/or AIP. Strong enterprise delivery, platform operating models, and integration strategy knowledge. Experience leading cross-functional initiatives across business/technical/architecture/governance stakeholders. Familiarity with pharma/biotech/life sciences R&D environments. Strong communication and executive presentation skills. Ability to translate ambiguous needs into product direction and actionable roadmaps. Desirable Requirements Preferred: identity, access, security, and governance concepts for enterprise AI systems. #J-18808-Ljbffr