Senior Product Manager II - Fraud & Identity

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Product Manager II – Fraud & Identity based in the United States.

As a Senior Product Manager II – Fraud & Identity, you will lead the strategy and development of products that detect, prevent, and respond to fraud while strengthening identity verification and authentication. You will own a critical product area spanning the entire customer lifecycle, combining fraud prevention, risk management, and identity protection into a cohesive experience. Working hands-on with engineering, operations, security, and legal teams, you will transform complex risk data into practical, scalable solutions. You will leverage AI, automation, and advanced analytics to improve fraud detection while minimizing unnecessary friction for legitimate customers. This role offers significant autonomy to shape product direction, prioritize investments, and influence cross-functional roadmaps. Join a remote-first technology environment where clear decision-making, technical collaboration, and measurable business impact are highly valued.

Accountabilities

• Define product strategy: Own and execute the product vision, strategy, and roadmap for fraud prevention, detection, identity verification, and authentication across the customer lifecycle.
• Drive roadmap prioritization: Establish priorities across fraud and identity initiatives, balancing risk reduction, customer experience, technical feasibility, and business objectives while coordinating dependencies across teams.
• Develop detection capabilities: Collaborate directly with engineers to design and refine fraud scoring logic, detection rules, risk signals, and identity verification mechanisms. Evaluate whether available data meaningfully distinguishes legitimate activity from fraudulent behavior.
• Turn insights into action: Translate research, data analysis, and technical findings into clear recommendations, decision documents, and prioritized product initiatives that lead to measurable outcomes and shipped improvements.
• Lead fraud incident response: Coordinate incident management across engineering, client operations, governance, risk and compliance, treasury, and security teams. Develop and improve response playbooks, escalation processes, and investigation workflows.
• Establish performance metrics: Define and monitor key indicators for fraud detection accuracy, authentication coverage, false-positive rates, operational efficiency, and customer friction to guide product decisions.
• Optimize fraud operations: Support fraud triage, investigations, case management, and resolution processes, equipping operational teams with effective tools and workflows.
• Support regulatory requirements: Partner with legal and governance, risk, and compliance stakeholders to support know-your-customer (KYC), anti-money laundering (AML), and audit-related product requirements while maintaining clear ownership of product responsibilities.
• Evaluate technology investments: Lead build-versus-buy assessments, evaluate third-party fraud and identity platforms, and identify opportunities to improve product capabilities, scalability, and operational effectiveness.
• Advance AI and automation: Apply AI-powered technologies and automation to accelerate investigations, improve risk assessment, increase detection accuracy, and streamline fraud management throughout the customer lifecycle.
• Influence strategic decisions: Challenge assumptions and proposed investments with evidence, ensuring that new signals, vendors, and enforcement measures deliver meaningful risk reduction without introducing unnecessary customer friction.

Requirements

• Product management experience: Demonstrated ownership of a fraud, risk, or identity product area within a fintech, payments, or marketplace organization, with direct accountability for product strategy, prioritization, and outcomes.
• Fraud prevention expertise: Strong understanding of fraud detection principles, including precision and recall, false-positive costs, risk signals, identity verification, and the trade-offs between security and customer experience.
• Technical capabilities: Experience working directly with engineering teams on scoring logic, data schemas, integrations, identity infrastructure, and technical product decisions.
• Incident response experience: Experience leading or co-leading fraud incident response, coordinating multiple stakeholders, and developing operational processes for investigation, escalation, and resolution.
• AI and automation proficiency: Practical experience using or building AI-powered solutions to improve fraud detection, operational efficiency, automation, and decision-making.
• Strategic execution: A proven ability to translate complex analysis into clear recommendations, prioritize initiatives, and deliver measurable results through successful product launches and iterative experimentation.
• Technology evaluation: Experience assessing fraud prevention platforms and making informed build-versus-buy decisions.
• Stakeholder leadership: Confidence challenging senior stakeholders constructively, communicating evidence-based recommendations, and aligning cross-functional teams around difficult product decisions.
• Excellent communication: Strong written communication and documentation skills, with the ability to communicate complex technical and business concepts clearly in a remote-first, documentation-driven environment.
• Preferred financial expertise: Professional certifications such as CPA, CFA, or Certified Fraud Examiner (CFE) are advantageous.
• Additional industry experience: Experience in payroll, payments, money movement, vendor fraud, accounts payable fraud, or financial services risk management is beneficial.
• Identity and compliance knowledge: Familiarity with KYC/AML requirements, identity platforms such as Auth0, synthetic identity fraud, or AI-generated identity fraud patterns is an advantage.
• Hands-on mindset: A proactive, adaptable approach to solving complex problems, exploring new technologies, and collaborating closely with technical and operational teams.

Benefits

• Competitive compensation: Annual base salary determined by US geographic pay zone:
  • Zone US1 — San Francisco, Los Angeles, Seattle, New York City, Boston, San Diego, and Washington, DC: $175,500–$241,500 USD .
  • Zone US2 — Austin, Chicago, Miami, and California locations outside Zone 1: $166,000–$228,500 USD .
  • Zone US3 — All other US locations: $156,500–$215,000 USD .
• Additional compensation: Potential equity and other applicable compensation components beyond the stated base salary.
• Fully remote work: Work remotely from anywhere in the United States, with flexibility to support an effective work-life balance.
• Unlimited paid time off: Flexible vacation arrangements to support personal well-being and time away from work.
• Health and dental benefits: Access to healthcare and dental coverage.
• Home office allowance: Up to $1,500 USD toward home office IT equipment and setup.
• Retirement savings: Up to 2% matching contributions to a 401(k), subject to applicable plan terms.
• Internet and mobile allowance: Up to $50 USD toward internet or mobile phone expenses.
• Learning and development: Opportunities to build expertise, develop new skills, and grow professionally.
• Meaningful ownership: The opportunity to lead a strategically important product area, influence company-wide decisions, and deliver measurable improvements in fraud prevention and identity protection.
• Inclusive work environment: A commitment to maintaining a respectful, accessible, and discrimination-free workplace that values diverse backgrounds, perspectives, and experiences.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.