Technical Product Manager - Fraud

Felix Technologies, Inc.

$152K — $193K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in product management focusing on risk, fraud, payments, or trust & safety, ideally in a startup or growth environment.
  • Proven technical fluency, able to work with engineering on API solutions and run simple SQL queries.
  • Deep understanding of fraud prevention methods such as device fingerprinting and behavioral analytics.
  • Experience with machine learning models and data analysis for fraud metrics and trends.
  • Familiarity with fraud & risk tools like Riskified or Sardine.
  • Strong communication skills for stakeholder management, especially with legal and compliance teams.
  • Passion for fintech and digital finance innovation.

Responsibilities

  • Define and execute the Risk and Fraud Product Strategy by creating a unified fraud detection platform.
  • Conduct hands-on data analysis and experimentation, including running SQL queries and managing A/B tests.
  • Collaborate with engineering to design and deploy fraud detection models and monitoring systems.
  • Work cross-functionally with Data Scientists and Risk Analysts to develop scalable solutions.
  • Enhance customer experiences while effectively mitigating risks.
  • Communicate product strategies and impacts to executive leadership and stakeholders.

Benefits

  • Initial stock options grant
  • Annual performance bonus
  • Health, dental, and vision plans
  • Continuous learning opportunities
  • 401(k) with employer match
  • Unlimited PTO
  • Paid parental leave
  • Opportunities for growth in a dynamic entrepreneurial environment
Full Job Description
About the Role

We are seeking a highly hands-on and technical Product Manager for our Fraud team to lead the building, unification, and aggressive scaling of our next-generation risk platform. This role requires a unique blend of deep technical depth, platform-level strategic thinking, and a resourceful, bias-for-action mindset to drive fraud prevention initiatives that uphold our customer obsession while enabling business growth. You will be a doer, not just a delegator, working closely with engineering to build sophisticated systems while owning critical business metrics. This is a role for a builder who thrives on extreme ownership in a high-growth, ambiguous environment.

Responsibilities

  • 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.


Requirements

  • 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.


What We Offer

  • Base
    • 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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