Product Manager, Fraud & AML
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At a glance: is it worth your time?
- Is it real? Listed on DataVisor's own job board; JoRoute confirmed it 5 hours ago. Ask first: 59% of this employer's listings are over 60 days old. · checked by JoRoute
- What it asks: Manager. "A degree in computer science, engineering or a related field, or equivalent technical experience." "Certifications such as CAMS (certified anti-money-laundering specialist) or CFE (Certified Fraud Examiner)" · employer's own words
- Check before applying: Pay not published; typical listed pay in Mountain View, CA: $188k a year. Ask for the range. Mountain View, California, United States. · pay compared by JoRoute
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- Job type
- Full-time
- Department
- Product
- Salary
- Not published by the source
- Posted
- 2026-11-09
Pay not published. California requires many employers to include pay in job postings (Labor Code § 432.3 (pay scale in job postings) ). Whether a law covers this employer and job depends on its rules — JoRoute does not decide that. You can ask the employer for the pay range before you apply. Pay transparency report
Description
DataVisor is a next-generation antifraud company that utilizes industry-leading unsupervised machine learning to detect fraudulent activity for financial transactions, mobile user acquisition, social networks, commerce, and money laundering. Our solution is used by some of the largest financial services and digital commerce companies in the world to protect them from the ever-increasing risk of fraud. Our award-winning software is powered by a team of world-class experts in big data, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
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
Health Insurance, Stock options, 401k, PTO

