
Technical Product Manager - Fraud
FélixSummary
Félix is seeking a hands-on Technical Product Manager for its Fraud team. The role involves leading the development and scaling of a next-generation risk platform, requiring a blend of technical depth, strategic thinking, and a bias for action. Responsibilities include defining fraud product strategy, performing hands-on data analysis with SQL queries, designing and building real-time fraud detection models, and collaborating with engineering, data science, and risk teams. The ideal candidate has 5+ years of product management experience in risk, fraud, or payments, with proven technical fluency, SQL skills, and experience with fraud prevention techniques and ML models. Experience with fraud & risk tools like Riskified or Sardine is a plus. This is an individual contributor role for a builder who thrives on ownership in a high-growth fintech environment.
Required Skills
Details
- Salary
- $152,000 – $193,000/yr
- Experience Required
- 5+ years
- Posted
- Jun 27, 2026
- Bonus
- Yes
- Equity
- Yes
Description
- 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
- 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
