- Location
- San Francisco
- Last Published
- Apr. 18, 2026
- Sector
- Fintech
- Functions
- Accounting & Finance
- Product
Fraud remains one of the hardest problems in financial services—and one of the biggest opportunities for Plaid. Our Fraud team is building the trusted identity backbone for the financial ecosystem, helping customers onboard good users with confidence while keeping bad actors out. As the Product Manager for Identity Verification (IDV) and Monitor (AML), you’ll own the foundation of Plaid’s fraud platform. IDV enables fast, accurate identity verification at onboarding, while Monitor provides continuous AML screening and transaction monitoring. Together, they power Protect and Layer–Plaid’s next-generation fraud products. The result is a unified platform that brings KYC, AML, and fraud prevention together at scale. In this role, you will take end-to-end ownership of IDV and Monitor–setting direction, driving execution, and aligning teams around measurable outcomes. You’ll blend technical, data and design perspectives to move from concept to production quickly and deliver systems that are accurate, reliable and built for scale. You’ll partner directly with Plaid’s fraud founders and an experienced engineering team to raise the standard for fraud prevention.
Responsibilities
- Set the direction. Own the vision, strategy, and roadmap for IDV and Monitor end to end. Drive meaningful outcomes for fraud prevention, compliance, and customer experience.
- Build the backbone. Grow IDV and Monitor as the core of Protect and Layer by expanding data coverage, improving decision quality, and enhancing reliability, latency, and transparency across systems
- Execute with focus. Partner closely with engineering, design, and other Fraud teams to move from concept to production with clear launch criteria and consistent follow-through.
- Communicate with precision. Create clarity across teams by articulating decisions, tradeoffs and rationale crisply. translating complex systems into simple narratives and keeping partners aligned on what matters.
- Stay close to the field. Engage with customers and GTM teams to spot fraud and compliance patterns early, translate them into product improvements, and maintain momentum through demos, integrations, and launches.
Qualifications
- 6+ years of product management experience in fraud, risk, security, or identity
- Strong technical foundation with a degree in Computer Science or a related field preferred
- Experience building or integrating fraud detection, risk scoring, or IDV/AML systems
- Ability to write clear product requirements and communicate technical concepts to diverse audiences
- Comfortable working closely with engineering, data, and go-to-market teams to deliver measurable impact
- [Nice to Have] Experience with data science or ML-driven systems, including model inputs and outputs
- [Nice to Have] Entrepreneurial or founder experience with a bias toward ownership and experimentation
Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.
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206600 - 306000 USD a year
The target base salary for this position ranges from $206,600/year to $306,600/year. The target base salary will vary based on the job's location.
The base salary range listed for this full-time position excludes commission (if applicable), equity and benefits. The pay range shown on each job posting is the minimum and maximum target for new-hire salaries. Actual pay may be higher or lower depending on factors like skills, experience, and relevant education or training.