Product Manager, Fraud & AML

DataVisor•Mountain View, CA

5h•Onsite

About The Position

DataVisor is a next-generation antifraud company using unsupervised machine learning to detect fraudulent activity across financial transactions, mobile user acquisition, social networks, commerce, and money laundering. Its software helps major financial services and digital commerce companies manage fraud risk. The company describes its culture as open, positive, collaborative, and results-driven. The Product Manager will join the product team at DataVisor’s Mountain View headquarters to evolve its fraud and anti-money-laundering platform. The role works closely with customer risk and compliance teams to improve product capabilities, keep the platform current with changing regulations, and help financial institutions identify financial crime earlier. It has high visibility as DataVisor grows its customer base in the US and internationally.

Requirements

At least 4 years of product management experience with B2B SaaS, ideally in fraud, AML, risk, or compliance.
Solid understanding of AML and fraud regulations and practices, including BSA/AML, KYC/CDD, SAR filing, sanctions screening, and model risk management.
Experience working with banks, fintechs, or payment companies, and understanding of how compliance teams operate.
Ability to explain complex topics such as machine learning and regulatory requirements to technical and non-technical audiences, including bank executives and auditors.
Excellent written and verbal communication skills.
Experience with agile development and the ability to thrive in a fast-paced startup.
A degree in computer science, engineering, or a related field, or equivalent technical experience.

Nice To Haves

Familiarity with AI and LLM-based products and their governance in regulated environments.
Certifications such as CAMS or CFE.
Experience with case management or transaction monitoring systems.
Experience working with analyst firms or on pricing and packaging.

Responsibilities

Drive improvements to existing fraud and AML products, including transaction monitoring, case management, KYC/CDD, and sanctions screening.
Keep the platform current with regulatory requirements and guidance, including BSA/AML, FinCEN guidance, OFAC sanctions, FATF recommendations, and EU AMLD.
Strengthen audit trails, model explainability, and support for model risk management under SR 11-7.
Gather feedback from customer compliance officers, investigators, and risk leaders and translate it into prioritized improvements that reduce false positives and improve investigator efficiency.
Partner with engineering and data science to deliver high-quality releases on time, including useful AI enhancements such as LLM-assisted alert triage and case narratives.
Track regulatory changes and competitor activity to identify product gaps and opportunities.
Partner with product marketing on pricing, packaging, positioning, and launches for new capabilities and updates.
Support analyst relations, including briefings and evaluations with firms such as Gartner, Forrester, and Chartis.
Present at webinars and industry events.
Work with sales and customer success to drive adoption and support customers during audits and regulatory reviews.