Product Manager, Agentic AI Solutions

Overview

Location:

Cambridge USA; 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. The ideal candidate will shape and scale AI products that accelerate scientific workflows, enable trusted human-AI collaboration, and align with enterprise standards for agent interoperability, identity, security, and responsible AI adoption.

• 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.

• 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 work streams 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…