PayPal Product Director Personalization 

France, Auvergne-Rhône-Alpes 

434794801

Job Description Summary:

What you need to know about the rolePersonalization. This

Your day-to-day

In this role you will:

• Optimize Checkout Performance for Customer Lifetime Value (LTV): Architect optimization frameworks to align various business objectives, including conversion, AOV, transaction expense, and Credit Product First Time Users, with a focus on enhancing customer LTV. Develop and implement methodologies to balance and prioritize these metrics in a customer-centric approach that drives measurable results.

• Strategic Collaboration with Senior Leadership: Build strong relationships with Senior Leadership across the organization, ensuring alignment on strategic priorities and outcomes. Provide thought leadership in high-impact discussions, balancing PayPal’s objectives with customer needs and market trends. Regularly present insights, progress, and recommendations leadership teams.

• Expert in Experimentation and Optimization: Design and lead experimentation programs focused on iterative improvements and multi-variate testing to refine product offerings. Use advanced statistical techniques and data-driven methodologies to experiment and optimize for multiple KPIs simultaneously, ensuring that changes lead to measurable improvements.

• Partner with Global Analytics and Data Science Teams: Leverage cutting-edge data analytics, machine learning, and AI models to develop next-best-action frameworks that drive seamless customer experiences. Collaborate closely with Global Analytics and Data Science teams to refine propensity models, approval models, and decision-making algorithms, delivering personalized experiences that increase customer satisfaction and business impact.

• Advanced Data-Driven Decision Making: Utilize your deep understanding of data science, customer behavior, and UX to develop and fine-tune ranking algorithms that optimize customer experiences. Ensure that algorithmic models account for both short-term wins (like increased conversion) and long-term gains (such as improved LTV), while ensuring alignment with business objectives.

What you need to bring

• 10+ years of experience in product management, with at least 2 years focused on optimizing conversion, checkout flows, and/or payment systems in an e-commerce or financial services environment.

• 2+ years of experience working with machine learning models. Proven ability to collaborate with data science teams to integrate ML and data driven insights into customer facing products

• Proven track record in driving complex optimization initiatives, balancing competing metrics

• Deep expertise in experimentation frameworks (A/B testing, multivariate testing) and data-driven decision-making, with hands-on experience in optimizing key performance metrics in dynamic environments.

• Strong leadership experience managing cross-functional, matrixed teams, including product, marketing, engineering, and data science, with a demonstrated ability to influence senior leadership and stakeholders

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The U.S. national annual pay range for this role is

$120300 to $287100

Our Benefits:

Any general requests for consideration of your skills, please