Lead Product Manager

PayPal PayPal · Fintech · Austin, TX +1 · Product Management

Lead Product Manager for AI-powered enterprise generative AI solutions at PayPal. Responsibilities include defining product vision and roadmap, driving adoption, guiding technical decisions on model selection and fine-tuning, and overseeing AI governance and monitoring systems. Requires experience in building and deploying LLM-based features, RAG, fine-tuning, model evaluation, MLOps, and AI governance.

What you'd actually do

  1. Lead strategy, development, and go-to-market execution of innovative AI­-powered products.
  2. Define and execute the product vision and roadmap for enterprise generative AI solutions.
  3. Identify market opportunities and develop compelling business cases for new AI product initiatives.
  4. Drive adoption of AI tools within PayPal ecosystem.
  5. Partner with leadership to align product strategy with overall company objectives.

Skills

Required

  • Product Management
  • Generative AI
  • LLM
  • RAG
  • Fine-tuning
  • Model Evaluation
  • MLOps
  • AI Governance
  • Cloud ML Infrastructure
  • Security
  • Privacy
  • Compliance

Nice to have

  • Prompt Engineering
  • Vector Databases
  • Parameter-Efficient Tuning (LoRA/PEFT)
  • Human-in-the-loop reviews
  • A/B Testing
  • GDPR/CCPA
  • Data Residency
  • DLP/Redaction

What the JD emphasized

  • 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.

Other signals

  • Define and execute the product vision and roadmap for enterprise generative AI solutions.
  • Drive adoption of AI tools within PayPal ecosystem.
  • Guide technical decisions around model selection, fine-tuning, and deployment.
  • Oversee the development of AI governance frameworks and monitoring systems.