Principal Product Manager, Agentic AI

PayPal•San Jose, CA

3d•Hybrid

About The Position

This role establishes a cohesive agentic AI product vision and strategy across PayPal, shaping how AI transforms financial services for of customers worldwide. You’ll influence the AI product roadmap, from discovery through launch and scale, partnering across engineering, data science, design, risk, policy, and business units to build AI products that are both innovative and trustworthy.

Requirements

10+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Nice To Haves

Deep experience building or scaling AI/ML-powered consumer or enterprise products at significant scale.
Experience with large language models (LLMs), autonomous agents, multi-step reasoning, or AI workflow automation.
Background in fintech, payments, or other highly regulated industries.
Understanding of AI safety, responsible AI principles, model evaluation, and governance frameworks.
Experience with agentic AI concepts or frameworks (e.g., tool use, ReAct patterns, multi-agent orchestration).
Track record of driving company-wide product strategy and influencing senior leadership without formal authority.
Comfort operating in ambiguous, fast-moving environments with emerging technology and incomplete information.
MBA or advanced degree in Computer Science, Engineering, or a related technical field preferred.

Responsibilities

Establish a shared vision across the company for one or more products, or a platform product enabling development & scalability, with a deliberate and cohesive strategy.
Leads product strategy development, and develops a clear, executable view of the product strategy with cross-functional stakeholders.
Influences the architectural roadmap and balances innovative design and technical implementation, while balancing regulatory requirements, time-to-market, meeting customer needs and product profitability.
Champions the customer experience and prioritizes customer needs in product requirements and decision making.
Defines and uses metrics that inform the success of products including usability studies, research and market analysis.
Standardizes workstreams to include analytics, customer discovery, market research and competitive analysis to drive data-driven decision-making.
Responsible for product profitability, including budgetary decisions.
Leads operational mechanisms that drive execution and accountability including Product Reviews, Operating Reviews, and Business Reviews.
Interfaces with senior leadership as needed.
Maximizes efficiency in a constantly evolving environment where the process is fluid and creative solutions are the standard.
Serves as internal thought leader and subject matter expert on agentic AI.
Establishes best practices and evaluation frameworks for LLM-powered and agentic AI features across the organization.
Navigates AI governance, compliance, and risk frameworks in close collaboration with legal, policy, and risk teams.
Champions responsible AI principles across the full product lifecycle, from design through post-launch monitoring.
Identifies and cultivates strategic partnerships with internal and external stakeholders to accelerate agentic AI capabilities.