Director of Product Management, Payments Fraud Management

Director of Product Management, Payments Fraud Management at Meta

We are seeking a highly skilled and experienced individual to lead our efforts in mitigating financial loss from payment fraud across Meta. This individual will manage a team of Product Managers in Israel and the US and collaborate with global leads from Financial Risk Management, Customer Integrity & Support and product teams, to ensure Meta is safeguarding its financial integrity by addressing leakage from bad actors, lost good revenue, and friction caused by efforts to manage the fraud which includes compromise and abusive payments.

Leveraging Machine Learning for Risk Management:

Building financial trust and mitigating loss are crucial for driving growth within Meta's financial ecosystem. We're extensively leveraging Machine Learning (ML) to drive revenue growth by minimizing financial losses, including leakage (lost revenue due to fraud), good revenue loss (lost revenue due to reduced spending by benign users impacted by bad actors), friction (negative experiences for benign users due to false positives), and fines, while reducing compliance risks and establishing Meta as a trusted payment ecosystem.

Director of Product Management, Payments Fraud Management Responsibilities:

• Strategic Leadership: Lead the Payments Fraud Management team, collaborating cross-Meta to develop and execute strategies that mitigate financial loss from payment fraud. Partner with Cross Functional partners in development of the North Star of lost revenue from payment fraud, and the strategy to get there.
• Drive Complex Strategic Initiatives: Drive complex strategic initiatives that impact 100+ members across multiple teams, fostering a collaborative environment to drive efficiency, alignment, and execution across the organization.
• Roadmap Development: Guide teams in developing team-level roadmaps that align with the overall long-term strategy. Cohesively present to VPs across Integrity and Monetization on behalf of the organization (in partnership with Integrity organization).
• Machine Learning Architecture: Develop and implement machine learning (ML) solutions to drive revenue growth by minimizing financial losses.
• Collaboration and Alignment: Work closely with Integrity, Support and Monetization leadership to ensure alignment on objectives, reporting frameworks for financial loss from payments fraud, and providing regular updates on progress and challenges.
• Strategic Thinker: Strategic thinker with a track record of developing and implementing successful short-term and long-term fraud mitigation strategies.
• Team Management: Experience managing a team of Product Managers.

Minimum Qualifications:

• Proven experience in financial risk management and fraud mitigation.
• Strong understanding of payment systems, fraud detection, and prevention strategies.
• Communication and collaboration skills, working effectively with cross-functional teams such as Engineering and Analytics.

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Key skills/competency

• Payments Fraud Management
• Financial Risk Mitigation
• Machine Learning (ML)
• Product Strategy
• Team Leadership
• Cross-functional Collaboration
• Roadmap Development
• Fraud Detection Systems
• Payment Systems
• Strategic Initiatives