PayPal
Sr Product Manager
$130K–$213K
San Jose, California, United States of America +2 · Manager · Full-time · Posted Oct 19, 2026
- Location
- San Jose, California, United States of America
Chicago, Illinois, United States of America
Austin, Texas, United States of America - Experience
- 3+ years relevant experience; alternatively, any equivalent combination of education and experience.
- Education
- Bachelor’s degree or equivalent combination of education and experience.
- Visa sponsorship
- Visa sponsorship through PayPal is not available for this position now or any time in the future.
About the job
Leads product development for collections workflows and AI-driven servicing, using customer and market insights to define requirements, guide execution, and improve outcomes.
What you'll do
- Use customer, research, market, and usability insights to shape product requirements and decisions.
- Monitor product profitability and budget; lead sprint planning, standups, and retrospectives.
- Partner with design, data science, content, research, and technology teams to identify opportunities and deliver products.
What they ask for
- 3+ years relevant experience and a Bachelor’s degree, or any equivalent combination of education and experience.
- Hands-on experience with end-to-end collections workflows and conversational AI products in customer-facing or servicing contexts.
- Experience with agentic AI systems and transitioning manual or rules-based workflows to agent-driven automation.
- Strong grasp of collections regulations and experience embedding compliance controls in regulated and AI-driven interactions.
Nice to have
- Experience with experimentation to improve collections outcomes and cost to collect.
- Technical fluency with APIs, event-driven architectures, decisioning or rules engines, and partner integrations.
Pay
USD 143,500.00 - 212,850.00 annually (base salary, San Jose, California); USD 130,500.00 - 193,600.00 annually (base salary, Chicago, Illinois); USD 130,500.00 - 193,600.00 annually (base salary, Austin, Texas)
Tools
LLM-based agents, API, event-driven architectures, decisioning or rules engines, A/B testing
AI focus
Design and launch conversational AI and agentic AI products for customer servicing; automate collections workflows with guardrails, evaluation, human handoffs, and compliance controls.
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