Senior Lead Product Manager, AI Platform & Strategy

Paypal

San Jose (CA)

On-site

USD 175,000 - 292,000

Full time

10 days ago
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Benefits offered by this job

Hybrid work model
Equity compensation

Job summary

PayPal is seeking an experienced product leader to own the horizontal AI portfolio, driving strategy, architecture, delivery, and value realization across PSP & Crypto, People & Places, Strategy, and more. You will collaborate with data scientists, UX researchers, designers, and product teams to turn data-driven insights into scalable products.

The role demands 8+ years of relevant experience, leadership capability, and a strong background in applied AI/ML within payments or financial services.

Qualifications

  • 8+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
  • Experience leading others.
  • Experience across multiple business units or a horizontal platform team in a large enterprise.
  • Background in applied AI/ML product management (recommendation systems, copilots, workflow automation).
  • Experience in payments, fintech, or financial services.

Responsibilities

  • Drives product strategy with cross-functional stakeholders aligned to the product vision.
  • Plans and implements the architectural roadmap balancing innovation, regulatory requirements, time-to-market and profitability.
  • Assesses customer experience and translates needs into product requirements.
  • Sets up data gathering mechanisms to measure usability, market analysis, and success metrics.
  • Leads analytics, customer discovery, market research and competitive analysis to drive decisions.

Skills

AI/ML PM
People management
Cross-unit collaboration
Fintech/payments

Education

Bachelor’s degree

Job description

PayPal is seeking an experienced product leader to own the horizontal AI portfolio, driving strategy, architecture, delivery, and value realization across PSP & Crypto, People & Places, Strategy, and more. You will collaborate with data scientists, UX researchers, designers, and product teams to turn data-driven insights into scalable products.

The role demands 8+ years of relevant experience, leadership capability, and a strong background in applied AI/ML within payments or financial services.

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