Sr Lead Product Manager, AI Product

PayPal•San Jose, CA

3d•Hybrid

About The Position

This role drives AI product strategy aligned with PayPal's intelligent enterprise vision, collaborating across engineering, data science, risk, compliance, and business units. Responsibilities include architecting multi-agent AI roadmaps, translating high-impact business problems into scalable AI solutions, and overseeing solution profitability. This is an individual contributor role with broad cross-functional leadership scope, partnering with engineers and AI architects to drive efficiency.

Requirements

8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Demonstrated experience driving AI/ML or data-intensive product strategy end-to-end — from discovery through scaled deployment — in a cross-functional enterprise environment.
Proven ability to define and instrument product success metrics, run market research, and translate data into product decisions and executive communications.
Experience planning and facilitating operational review cadences and interfacing with senior technology and product leadership.

Nice To Haves

3+ years of hands-on experience designing or shipping agentic, LLM-powered, or multi-agent AI products in production.

Responsibilities

Drives product strategy with cross-functional stakeholders consistent with the shared vision for the product or enabling platform.
Plans and implements the architectural roadmap that balances innovative design and technical implementation, while balancing regulatory requirements, time-to-market, meeting customer needs and product profitability.
Assesses the customer experience and customer needs in product requirements and decision making.
Sets up data gathering mechanisms relative to the metrics that inform the success of products including usability studies, research and market analysis.
Leads workstreams to include analytics, customer discovery, market research and competitive analysis to drive data-driven decision-making.
Oversees product profitability measures, including budget.
Plans operational mechanisms that drive execution and accountability including Product Reviews, Operating Reviews, and Business Reviews.
Interfaces with product and technology leadership as needed.
Partners with content strategists, data scientists, product designers and user experience researchers.
Maximizes efficiency in a constantly evolving environment where the process is fluid and creative solutions are the standard.
Partners with stakeholders to align the AI use case pipeline with enterprise-wide AI transformation priorities.
Conducts collaborative working sessions with business unit stakeholders to surface, score, and prioritize AI use cases against a structured value and readiness framework.
Defines and tracks core AI Solutioning KPIs, including Solution Adoption Rate and Productivity ROI.
Monitors post-launch outcomes and iterates on solution designs based on performance data.
Maintains visibility into AI pipeline maturity and expected business impact, enabling stakeholders to make informed resource decisions.
Acts as a trusted partner to business unit leads, balancing innovation ambition with operational feasibility and regulatory compliance across payments, risk, and financial services contexts.
Expands profitability oversight to include cost-per-outcome modeling and ROI reporting for owned AI solutions.
Partners with AI architects and compliance leads to ensure holistic, human-centered AI solution design.