• In this role, you’ll lead the charge in defining and delivering AI-driven solutions that power key enterprise initiatives—ranging from personalized recommendations to fraud and risk protection, compliance automation, and intelligent customer success. You’ll work closely with world-class data scientists, AI engineers, and business leaders to shape groundbreaking tools and capabilities that scale across PayPal’s platform, influencing how millions of people and businesses connect with money.
Your day-to-day
Own the Vision: Define and own the strategy and roadmap for AIML platform product(s) that align with the AI Tech team’s vision to democratize AI across the PayPal ecosystem.
Understand Customer Needs: Work closely with stakeholders to identify opportunities where AI can unlock meaningful value for PayPal’s customers, internal teams, and enterprise strategy.
Roadmap and Execution: Define detailed product requirements, scope, release and measure features to ensure the customer and business goals are met. Drive delivery with enterprise platform thinking to support enterprise-wide use cases, including personalized recommendations, fraud detection, compliance, and customer success.
Drive Collaboration: Partner with world-class data scientists, AI engineers, and cross-functional teams to deliver innovative solutions on time and at scale.
Measure and Iterate: Establish and track OKRs to measure the success of AI initiatives, using data-driven insights to refine and improve your product strategy over time.
Evangelize AI: Serve as a key communicator and advocate for AI-driven opportunities in various domains, aligning teams and stakeholders around the transformative potential of AI technologies.
Navigate Complexity: Collaborate with risk, compliance, and legal teams to ensure AI solutions meet PayPal’s technical, ethical, and regulatory standards.
Foster Innovation: Stay ahead of the curve on the latest AI/ML trends, technologies, and best practices—bringing forward the best of what’s available to maintain PayPal’s edge in the industry.
What do you need to bring
- Education: Master degree in computer science, engineering, data science, or related areas are a bonus.
- Experience: 5-8 years of product management experience, including experience with AI-powered products, data platforms, or enterprise-grade technologies that support AI initiatives
- Customer-Centric Focus: Ability to balance technical capabilities with user-centric design, building products that solve pain points for customers and enterprise-focused teams alike.
- Exceptional Communication: Excellent verbal and written communication skills. Proven ability to influence and gain buy-in from stakeholders at all levels, driving alignment across diverse teams in a fast-paced, complex environment
- Technical Acumen: Mastery of technical concepts and system-design, ability to participate in technical discussions and help make technical trade-offs. Experience with AI/ML tools, APIs, or cloud AI solutions (e.g., AWS, GCP, Azure ML, TensorFlow) is a plus.
- Data-Driven Decision Making: A relentless commitment to leveraging data and OKRs to define roadmaps, assess outcomes, and optimize results for AI initiatives.
- Execution Excellence: Strong program management skills with a track record of shipping impactful products in a cross-functional, agile environment.
Our Benefits:
Any general requests for consideration of your skills, please