4+ years of product management experience in B2B SaaS, preferably in fraud, AML, risk, or compliance.
Strong grasp of AML and fraud regulations including BSA/AML, KYC/CDD, and model risk management.
Experience collaborating with banks, fintechs, or payment companies, with insight into compliance team operations.
Ability to communicate complex topics to both technical and non-technical audiences, including executives.
Excellent written and verbal communication skills.
Familiarity with agile development in a fast-paced startup environment.
Degree in computer science, engineering, or related field, or equivalent technical experience.
Responsibilities
Drive enhancements across existing fraud and AML products, including transaction monitoring and case management.
Ensure the platform complies with evolving regulatory requirements such as BSA/AML and FinCEN guidance.
Strengthen audit trails and support model risk management under SR 11-7.
Collect and prioritize feedback from compliance officers to reduce false positives and enhance investigator efficiency.
Collaborate with engineering and data science to deliver timely, high-quality product releases, including AI features.
Monitor regulatory changes and competitor activities to identify platform gaps and opportunities.
Work with product marketing on pricing, positioning, and launching new capabilities.
Benefits
Flexible schedule with competitive pay and equity participation.
Health benefits, catered lunches, and company off-sites.
Engaging team activities like game nights.
Opportunity to work with a world-class team.
Full Job Description
Summary
We're looking for a product manager to join our product team at our Mountain View HQ and help evolve our established fraud and AML platform. You'll work closely with customers' risk and compliance teams to improve existing capabilities, keep the platform current with changing regulations, and help institutions catch financial crime earlier. The role has high visibility as we grow our customer base in the US and abroad.
Job responsibilities
Drive improvements across DataVisor's existing fraud and AML products: transaction monitoring, case management, KYC/CDD (know your customer and customer due diligence) and sanctions screening.
Keep the platform current with changing regulatory requirements:
BSA/AML (US Bank Secrecy Act and anti-money-laundering rules)
FinCEN guidance (FinCEN is the US Treasury's financial-crimes bureau)
OFAC (US sanctions)
FATF recommendations (international AML standards)
EU AMLD (the EU's anti-money-laundering directives)
Strengthen audit trails, model explainability and support for model risk management under SR 11-7 (US guidance on bank model risk).
Gather feedback from compliance officers, investigators and risk leaders at customers. Turn it into prioritized improvements that reduce false positives and make investigators more efficient.
Partner with engineering and data science to ship high-quality releases on time. This includes AI enhancements such as LLM-assisted alert triage and case narratives, where they clearly help investigators.
Track regulatory changes and competitor moves, and find gaps and opportunities in the platform.
Partner with product marketing (PMM) on pricing, packaging, positioning and launches for new capabilities and updates to existing ones.
Represent DataVisor externally:
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 through audits and regulatory reviews
Requirements
4+ years of product management experience with B2B SaaS, ideally in fraud, AML, risk or compliance.
Solid understanding of AML and fraud regulations such as BSA/AML, KYC/CDD, SAR (suspicious activity report) filing, sanctions screening and model risk management.
Experience working with banks, fintechs or payment companies, and an 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 thriving in a fast-paced startup.
A degree in computer science, engineering or a related field, or equivalent technical experience.
Nice to have:
Familiarity with AI and LLM-based products and their governance in regulated environments
Certifications such as CAMS (certified anti-money-laundering specialist) or CFE (Certified Fraud Examiner)
Experience with case management or transaction monitoring systems
Experience working with analyst firms or on pricing and packaging
Benefits
We offer a flexible schedule with competitive pay, equity participation and health benefits, along with catered lunch, company off-sites, and game nights, as well as the opportunity to work with a world class team.
About DataVisor
DataVisor is an artificial intelligence company that provides fraud detection and prevention solutions for financial services, e-commerce, and social platforms. The company was founded in 2013 and is headquartered in Santa Clara, California. DataVisor uses machine learning algorithms to analyze large amounts of data and detect fraudulent activities in real-time. The company's solutions can help businesses reduce fraud losses, improve customer experience, and increase operational efficiency. DataVisor has partnerships with major financial institutions and e-commerce companies and is backed by several venture capital firms.
