Lead Product Manager

We’re hiring a Lead Product Manager to lead PayPal’s next-gen AI/ML Platform—focused on Agentic AI Ops, agent frameworks (e.g., Crew-style orchestration), and vector databases—so our product and engineering teams can safely ship agentic capabilities at PayPal scale. As a platform product manager, you'll work at the intersection of cutting-edge AI/ML technology and product strategy, ensuring our internal platform meets the evolving needs of data scientists, ML engineers, and product teams across PayPal's diverse portfolio of financial services. Our mission is to make it radically easier, safer, and faster for product teams to ship AI features that move the needle for customers and merchants.

Must Have

• Input to product strategy with cross-functional stakeholders.
• Implement architectural roadmap balancing design, tech, regulatory, time-to-market, customer needs, profitability.
• Control for customer experience and needs in product requirements.
• Monitor metrics for product success (usability, research, market analysis).
• Manage workstreams including analytics, customer discovery, market research, competitive analysis.
• Monitor product profitability measures, including budget.
• Participate in operational mechanisms (Product Reviews, Operating Reviews, Business Reviews).
• Partner with content developers, data scientists, product designers, UX researchers.
• Minimum 8 years of relevant work experience.
• Bachelor's degree or equivalent experience.

Good to Have

• 7+ years of product management experience.
• 4+ years in platform/infrastructure products or AI/ML domains.
• MBA or advanced degree.
• Strong understanding of machine learning concepts.
• Strong understanding of data pipelines.
• Strong understanding of cloud infrastructure (AWS/GCP/Azure).
• Strong understanding of software development practices.
• Proven track record building and scaling developer platforms, APIs, or internal tooling.
• Experience leading cross-functional teams.
• Proficiency with data analysis tools.
• Experience making data-driven product decisions.
• Excellent written and verbal communication skills.
• Familiarity with Python, SQL, and API development.
• Knowledge of model training frameworks, feature stores, ML monitoring tools.
• Understanding of data warehousing, real-time streaming, distributed computing.
• Experience with CI/CD pipelines, infrastructure as code, automated testing.
• Knowledge of data privacy, model security, AI governance frameworks.

Perks & Benefits

• Flexible work environment
• Employee shares options
• Health insurance
• Life insurance
• Medical benefits
• Dental benefits
• Vision benefits
• Other benefits and resources for financial, physical, and mental health.

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Summary:

About the Role

We’re hiring a Lead Product Manager to lead PayPal’s next-gen AI/ML Platform—focused on Agentic AI Ops, agent frameworks (e.g., Crew-style orchestration), and vector databases—so our product and engineering teams can safely ship agentic capabilities at PayPal scale.

As a platform product manager, you'll work at the intersection of cutting-edge AI/ML technology and product strategy, ensuring our internal platform meets the evolving needs of data scientists, ML engineers, and product teams across PayPal's diverse portfolio of financial services.

Meet the team

We build the core platform that powers agentic experiences across PayPal—tool-using LLM agents, evaluators, guardrails, retrieval (vector DB), observability, and developer workflows. Our mission: make it radically easier, safer, and faster for product teams to ship AI features that move the needle for customers and merchants.

Job Description:

Essential Responsibilities:

• Inputs to product strategy with cross-functional stakeholders consistent with the shared vision for the product.
• Implements the architectural roadmap that balances innovative design and technical implementation, while balancing regulatory requirements, time-to-market, meeting customer needs and product profitability.
• Controls for the customer experience and customer needs in product requirements and as an input to decision making.
• Monitors metrics that inform the success of products including usability studies, research and market analysis.
• Manages one or more workstreams to include analytics, customer discovery, market research and competitive analysis to drive data-driven decision-making.
• Monitors product profitability measures, including budget.
• Participates in operational mechanisms that drive execution and accountability including Product Reviews, Operating Reviews, and Business Reviews. Interfaces with product leadership as needed.
• Partners with content developers, data scientists, product designers and user experience researchers.

Minimum Qualifications:

• Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

Preferred Qualification:

• Experience: 7+ years of product management experience, with 4+ years specifically in platform/infrastructure products or AI/ML domains
• Education: Bachelor's degree in Engineering, Computer Science, Data Science, or related technical field; MBA or advanced degree preferred
• Technical Background: Strong understanding of machine learning concepts, data pipelines, cloud infrastructure (AWS/GCP/Azure), and software development practices
• Platform Experience: Proven track record building and scaling developer platforms, APIs, or internal tooling with measurable adoption
• Leadership: Experience leading cross-functional teams and driving consensus among diverse stakeholders
• Analytics: Proficiency with data analysis tools and experience making data-driven product decisions
• Communication: Excellent written and verbal communication skills with ability to present to technical and non-technical audiences

Technical Skills

• Programming: Familiarity with Python, SQL, and API development
• ML Tools: Knowledge of model training frameworks, feature stores, and ML monitoring tools
• Data Infrastructure: Understanding of data warehousing, real-time streaming, and distributed computing
• DevOps: Experience with CI/CD pipelines, infrastructure as code, and automated testing
• Security: Knowledge of data privacy, model security, and AI governance frameworks