Product Manager, Fraud Data

We believe that the way people interact with their finances will drastically improve in the next few years. Were dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo SoFi several of the Fortune 500 and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaids network covers 12000 financial institutions across the US Canada UK and Europe. Founded in 2013 the company is headquartered in San Francisco with offices in New York Washington D.C. London and Amsterdam.

The Fraud team is building the largest network of trusted identities in the US. Our products span the full user lifecycle: Identity Verification and Monitor for onboarding and compliance Layer for frictionless returning-user experiences and Protect our fraud intelligence platform as the connective risk layer for all of it. Protect has more inbound demand than any product we have launched. The challenge is signal. We are building the data infrastructure that will make Protect the best fraud signal in financial services. This is a product role for someone who lives at the intersection of fraud expertise and data science. You will work directly with our data team to build and improve Protects signal stack: the attributes scores and fraud vector intelligence that customers use to make real-time decisions. You need to understand fraud know how to partner with data scientists as a peer and be able to translate between what models need and what products should deliver.

Responsibilities:

• Own the feature roadmap for Protect: what we build how we validate it and how we measure coverage and fill rates

• Build and manage the labeling pipeline as a product including customer retros data partnerships and the label feedback loop into model training

• Define the product requirements for fraud vector scores including signal selection precision/recall targets and customer-facing output design

• Partner with data scientists and MLEs as a day-to-day collaborator not just a requester. Translate between model needs and product requirements in both directions

• Work with GTM and Protect PM on how attribute improvements and new scores translate into customer-facing value propositions.

Qualifications:

• Required:

  • Real hands-on fraud prevention experience: fraud vectors detection systems risk signal evaluation. Not general fintech.

  • Direct experience collaborating with data scientists or ML engineers to ship data-driven products. You need to be able to talk to a DS about feature distributions label quality and model performance not just read summaries.

• Nice to have:

  • Experience at a fraud vendor (SentiLink Sardine Socure Persona Incode) or a fraud operations team at a large fintech or bank

  • Background with ML model inputs/outputs: feature engineering offline evaluation and moving from experimentation to production

  • Specialization in a specific fraud vector (ATO synthetic identity or first-party fraud)

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesnt fully match the job description. We are always looking for team members that will bring something unique to Plaid!

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

Please review our Candidate Privacy Notice here.

Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan including medical dental vision and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position candidates work experience and skillset and location. Pay and benefits are subject to change at any time consistent with the terms of any applicable compensation or benefit plans.

Required Experience:

IC