Lead Product Manager

This job contributes to product strategy alongside cross-functional stakeholders, ensuring alignment with the shared vision. It includes implementing an architectural roadmap that balances innovative design with regulatory requirements, customer needs, and profitability. The position focuses on enhancing customer experience and monitoring success metrics through usability studies and market analysis.

As Lead Product Manager, you’ll own two connected areas: self-service analytics, the tools that let teams explore data and get answers on their own, and instrumentation, the real-time product behavioral data that powers those tools. You’ll define how teams across PayPal capture, govern, and use behavioral data, and how AI makes that data easier to explore and act on without an analyst in the loop.

You’ll partner with Engineering, Data Science, Analytics, Data Governance, Privacy, and Product teams to build tools people want to use and a data foundation they can trust.

Key responsibilities:

• Set the vision, strategy, and roadmap for self-service analytics and instrumentation, tying both to business outcomes and user adoption.
• Build AI-powered analytics experiences such as conversational querying, automated root-cause analysis, and AI agents that surface insights, so non-technical users get answers quickly.
• Make AI-generated answers trustworthy: accurate, explainable, and grounded in governed, high-quality data.
• Drive adoption across product, engineering, and business teams through enablement, training, and feedback loops, with clear metrics for usage, data quality, coverage, and time-to-insight.
• Work closely with technical teams (data engineering, platform, and analytics engineering) to translate complex data architecture into clear product requirements.
• Lead cross-functional initiatives, manage dependencies and risks, and communicate progress and trade-offs to senior leadership.
• Mentor other product managers and raise the bar on data-driven product practices.

Requirements:

• 6+ years of product management experience, including leading data, analytics, or developer-facing platform products.
• Proven experience building self-service analytics tools, with an understanding of how AI/LLMs are changing how people interact with data.
• Hands-on experience with real-time behavioral data and instrumentation: event streaming, tagging and tracking, schema management, and data pipelines.
• Credibility with engineers and data scientists, with the ability to dig into technical detail and still communicate clearly to business partners.
• A track record of influencing across a large, matrixed organization without direct authority.
• Strong analytical skills, including comfort with SQL and analytics tools.

Nice to have:

• Experience with semantic layers, metric definitions, or data catalogs.
• Background in payments, fintech, or other regulated industries.
• Experience launching AI-powered features in an enterprise setting.

Benefits:

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