Job Summary:

Job Description:

PayPal, Inc. seeks Lead Product Manager in Austin, TX

Job Duties: Lead strategy, development, and go-to-market execution of innovative AI-powered products. Define and execute the product vision and roadmap for enterprise generative AI solutions. Identify market opportunities and develop compelling business cases for new AI product initiatives. Lead competitive analysis and market research to inform product strategy. Drive adoption of AI tools within PayPal ecosystem. Partner with leadership to align product strategy with overall company objectives. Translate complex technical capabilities into clear product requirements and user stories. Ensure successful product development and delivery. Define success metrics and KPis for AI product features. Lead the development of product specifications, including data requirements and model performance criteria. Oversee testing and validation of AI features, ensuring they meet quality and performance standards. Collaborate with customers to understand their needs and gather feedback on AI solutions Partner with sales and marketing teams to develop go-to-market strategies. Work with legal and compliance teams to ensure responsible AI development practices. Build and maintain relationships with key technology partners and vendors. Guide technical decisions around model selection, fine-tuning, and deployment. Oversee the development of AI governance frameworks and monitoring systems. Partial telecommuting permitted from within a commutable distance.

Minimum Requirements: Master's degree, or foreign equivalent, in Computer Science, Engineering, Data Science, Mathematics, Information Systems, Business Administration (with a technical concentration) or a related field plus three years of experience in the job offered or a related occupation.

Special Skill Requirements:

1. Lead end-to-end product management for AI/ML or generative AI solutions in enterprise/SaaS environments. (3 years)

2. Build and deploy LLM-based features, including model selection, prompt/retrieval design, and scaling to production. (2 years)

3. Design and implement Retrieval-Augmented Generation (RAG) architectures with embeddings, vector databases, and guardrails. (2 years)

4. Execute model fine-tuning or parameter-efficient tuning (e.g., LoRA/PEFT) and optimize trade-offs in quality, latency, and cost. (2 years)

5. Conduct offline and online model evaluation using rubric-based assessments, human-in-the-loop reviews, and A/B testing. (2 years)

6. Define and track model performance metrics (quality, safety, latency, throughput, cost) and instrument telemetry monitoring. (3 years)

7. Identify and manage data requirements, including collection, labeling, PII handling, privacy-by-design, and data quality. (2 years)

8. Implement AI governance and risk management practices, including documentation, bias/fairness checks, drift monitoring, and incident response. (2 years)

9. Apply MLOps/LLMOps best practices and manage cloud ML infrastructure (AWS/GCP/Azure) for CI/CD, model lifecycle, and scalable inference. (2 years)

10. Ensure security, privacy, and compliance for AI features with GDPR/CCPA, data residency, DLP/redaction, and secure API productization. (2 years)

Additional Responsibilities & Preferred Qualifications:

The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:

Primary Location | Pay Range:

Austin, TX | Salary: $186,950.00-273,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.

Must be legally authorized to work in the U.S. without sponsorship.

Subsidiary:
PayPal

Travel Percent:
0

PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.