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gem

Technical Product Manager - Fraud

Félix
San Francisco, USA
Full-time
Senior Level
Hybrid
USD 152000-193000 yearly
Discovered 1 months ago

Full Job Posting

  • Define & Execute Risk & Fraud Product Strategy – Work with Risk leadership to develop and own the Risk Product roadmap, focusing on unifying disparate fraud domains into a single, scalable platform for detection, prevention, and other risk management capabilities. This requires a platform-first, reusable component mindset.
  • Hands-On Data Analysis & Experimentation – Own fraud metrics and have a hands-on relationship with the data. You must be able to navigate complex dashboards, run simple to medium-complexity SQL queries to validate initial hypotheses, and work with Risk Data Analysts and Data Scientists. You will be responsible for designing, setting up, and interpreting non-trivial A/B tests to ensure statistically valid and impactful outcomes.
  • Fraud Detection & Prevention –. Partner directly with engineering teams to design, build, and deploy advanced real-time fraud detection models, identity verification, and transaction monitoring systems.
  • Cross-Functional Collaboration – Work closely with Data Scientists, Risk Analysts, engineers, and other internal stakeholders to develop scalable solutions.
  • Optimize Customer Experience – Balance optimum customer experiences with effective risk mitigation strategies.
  • Stakeholder Management – Communicate Risk, Product strategies, and impact to executive leadership, legal teams, and external partners.
  • 5+ years of experience in product management, with a focus on risk, fraud, payments, or trust & safety, ideally in a fast-paced startup or growth environment where you were a primary builder.
  • Proven technical fluency & resourcefulness – ability to work with engineering teams on API-based fraud prevention solutions, demonstrated ability to run simple SQL queries, and a clear understanding of data pipelines and system resilience (e.g., timeouts, service dependencies).
  • Deep understanding of fraud prevention techniques (e.g., device fingerprinting, behavioral analytics, transaction monitoring) or a track record of rapidly acquiring deep domain knowledge in a new technical area.
  • Experience working with machine learning models and the ability to analyze fraud metrics, trends, and risk signals to drive product improvements.
  • Experience working with fraud & risk tools (e.g., Riskified, Sardine, etc).
  • Strong ownership and a bias towards action; we need a builder willing to take on significant individual contributor work.
  • Strong stakeholder management and communication skills, especially with legal, compliance, and exec teams.
  • Passion for fintech and digital finance innovation.
  • These are the applicable requisites, although equivalent competencies in any of the above will also be considered.
  • Base SF/NYC: $152,000 - $193,000 Miami: $123,000 - $160,000
  • SF/NYC: $152,000 - $193,000
  • Miami: $123,000 - $160,000
  • Initial stock options grant
  • Annual performance bonus
  • Health, dental, and vision plans
  • Continuous learning opportunities
  • 401(k) with an employer's match
  • Unlimited PTO
  • Paid parental leave
  • Empowering opportunities for growth in a dynamic entrepreneurial environment

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