Lead Product Manager - Risk & Decisioning Platform

PayPal, Inc.; San Jose (CA); Hybride; USD 177 000 - 262 000; Plein temps

Avantages offerts par ce poste

Annual performance bonus

Equity

Incentive compensation

Résumé du poste

PayPal is seeking a Lead Product Manager to direct product strategy for risk-related domains across multiple risk strategies. You’ll partner with risk leaders to shape the domain vision, roadmaps, and outcomes like loss reduction and approval rates, translating rules, models, data and treatments into scalable products.

You will collaborate with data science, modeling and engineering teams to move strategies from legacy systems to production, then launch new strategies with experimentation and

Qualifications

• 5+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience.

Responsabilités

• Inputs to product strategy with cross-functional stakeholders and a shared product vision.
• Implements the architectural roadmap balancing design, regulatory requirements, time-to-market, user needs and profitability.
• Defines customer experience requirements as input to decision making.
• Monitors metrics informing product success including usability and market analysis.
• Manages workstreams for analytics, market research and data-driven decision-making.
• Tracks product profitability and budget; participates in reviews with leadership.
• Collaborates with data scientists, modelers and platform teams to drive delivery.

Connaissances

Product management

Cross-functional collaboration

Data-driven decision making

Risk domain knowledge

Stakeholder communication

Formation

Bachelor's degree or equivalent

Outils

Data modeling tools

Description du poste

PayPal is seeking a Lead Product Manager to direct product strategy for risk-related domains across multiple risk strategies. You’ll partner with risk leaders to shape the domain vision, roadmaps, and outcomes like loss reduction and approval rates, translating rules, models, data and treatments into scalable products.

You will collaborate with data science, modeling and engineering teams to move strategies from legacy systems to production, then launch new strategies with experimentation and