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About the Role

PayPal is seeking a Lead Product Manager to drive the strategy, development, and go-to-market execution of innovative AI-powered products, focusing on enterprise generative AI solutions. This role is crucial for defining the product vision, identifying market opportunities, and ensuring the successful adoption of AI tools within the PayPal ecosystem.

Responsibilities

• 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.

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

Skills

• Lead end-to-end product management for AI/ML or generative AI solutions in enterprise/SaaS environments.
• Build and deploy LLM-based features, including model selection, prompt/retrieval design, and scaling to production.
• Design and implement Retrieval-Augmented Generation (RAG) architectures with embeddings, vector databases, and guardrails.
• Execute model fine-tuning or parameter-efficient tuning (e.g., LoRA/PEFT) and optimize trade-offs in quality, latency, and cost.
• Conduct offline and online model evaluation using rubric-based assessments, human-in-the-loop reviews, and A/B testing.
• Define and track model performance metrics (quality, safety, latency, throughput, cost) and instrument telemetry monitoring.
• Identify and manage data requirements, including collection, labeling, PII handling, privacy-by-design, and data quality.
• Implement AI governance and risk management practices, including documentation, bias/fairness checks, drift monitoring, and incident response.
• Apply MLOps/LLMOps best practices and manage cloud ML infrastructure (AWS/GCP/Azure) for CI/CD, model lifecycle, and scalable inference.
• Ensure security, privacy, and compliance for AI features with GDPR/CCPA, data residency, DLP/redaction, and secure API productization.

Location

• Austin, TX

Work Type

• Partial telecommuting permitted
• Hybrid work model (3 days in office, 2 days remote/office)

Experience Level

• Lead
• 3 years of experience in product management for AI/ML or generative AI solutions in enterprise/SaaS environments
• 2 years of experience building and deploying LLM-based features
• 2 years of experience designing and implementing RAG architectures
• 2 years of experience executing model fine-tuning or parameter-efficient tuning
• 2 years of experience conducting model evaluation
• 3 years of experience defining and tracking model performance metrics
• 2 years of experience identifying and managing data requirements
• 2 years of experience implementing AI governance and risk management practices
• 2 years of experience applying MLOps/LLMOps best practices and managing cloud ML infrastructure
• 2 years of experience ensuring security, privacy, and compliance for AI features

Education Level

• 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

Salary/Compensations

• $186,950.00-273,500.00 per annum

Benefits

• Comprehensive, choice-based programs to support physical, emotional, and financial wellbeing
• Generous paid time off
• Healthcare coverage for you and your family
• Resources to create financial security
• Support for mental health

About 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.
• We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers.
• Our beliefs are the foundation for how we conduct business every day: Inclusion, Innovation, Collaboration, and Wellness.
• We are committed to building an equitable and inclusive global economy.
• We strive to create a flexible, balanced work culture with a holistic approach to benefits.

Equal Opportunity

• PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.
• In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.