Full-Time
Product Manager
Posted on 8/15/2025
DataVisor
51-200 employees
Real-time fraud detection & risk management
Compensation Overview
$120k - $170k/yr
Mountain View, CA, USA
In Person
 Product (2) |
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- 3+ years of product management and/or experience managing complex technical products preferably in developing data platforms, platform software or development tools
- 2+ years of experience in integration with banking cores, fraud/AML experience or banking core integration experience
- Experience in building or integration of ETL and/or data pipelines; any experience in data checking, SQL, database operations, SFTP, real-time REST APIs
- Familiarity with agile software development frameworks (e.g., Scrum) and real-world experience in fast-paced environments
- Practical experience with machine learning, big data, cloud services, and SaaS-based systems
- Comfortable thriving in a dynamic, fast-paced startup setting
- Bachelor degree in Computer Science or related area
- Partner closely with other Product Managers, engineering, delivery, marketing, GTM and support teams
- Work on the onboarding workflow and user experience with third-party integrations and out-of-the-box solutions; lead cross-team efforts to deliver technical and functional artifacts like product documentation, training materials and best practices guides
- Engage with third-party providers, evaluate their offerings and conduct research and user studies to build and own a product roadmap; explore new ideas and push the boundaries to drive monetization opportunities across different market segments
- Take a hands-on approach to ensure product development stays on track, removing obstacles and addressing issues as they arise
- Fraud/AML or Banking Core Integration Experience: 2+ years of integration with banking cores (described as highly valued)
- Machine Learning & Big Data Knowledge: Practical experience with machine learning, big data, cloud services, and SaaS-based systems
- Startup Mindset: Comfortable thriving in a dynamic, fast-paced startup setting
DataVisor offers a fraud detection and risk management platform for fintech and cybersecurity, helping financial institutions, e-commerce platforms, and online services detect and prevent fraudulent activity in real time. The core product integrates with clients’ existing data systems through APIs, supporting real-time or batch data processing to identify suspicious patterns. Machine learning analyzes large datasets to spot indicators of fraud and continuously improve detection accuracy. The company differentiates itself by providing a flexible, API-based integration that fits into clients’ current workflows and data environments, enabling real-time prevention across diverse use cases. Revenue comes from a subscription model that gives clients ongoing access to the platform and updates. The goal is to help organizations protect their operations and customers by staying ahead of increasingly sophisticated fraud schemes.
Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$94.5M
Headquarters
Mountain View, California
Founded
2013
Simplify's Take
What believers are saying
- Vera boosts detection coverage 2-3x and cuts false positives 40%.
- NASA Federal Credit Union reduces investigation time 20-30x.
- authID partnership enhances biometric authentication integration.
What critics are saying
- Feedzai's agentic AI captures 25% more fintech share in 6-12 months.
- SEC fines DataVisor $15M, halting financial sales in 3-6 months.
- OpenAI-Sift gen AI undercuts pricing by 60% in 9-15 months.
What makes DataVisor unique
- Vera launches conversational AI agents for fraud and AML operations.
- Patented UML detects unknown fraud patterns proactively in real-time.
- Unified platform integrates fraud, AML, KYC with end-to-end workflows.
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Benefits
Health Insurance
Stock Options
401(k) Company Match
Paid Vacation
Flexible Work Hours
Company Equity
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↑ 1%DataVisor has launched Vera, the first suite of conversational AI agents for financial crime prevention. The platform allows fraud and anti-money laundering teams to give instructions in plain language, with AI agents executing them across the entire fraud and AML lifecycle. The launch addresses the AI "readiness gap" identified in DataVisor's 2026 report, which found only 23% of institutions have adequate infrastructure to combat AI-driven fraud, whilst 74% of leaders view it as a top threat. Early results from customers including NASA Federal Credit Union show detection coverage increases of two to three times, false positives reduced by over 40%, and investigation time cut by 20 to 30 times. The platform automates tasks from detection strategy design to regulatory reporting whilst maintaining enterprise-grade governance and control.
To see why DataVisor was named a Leader, access the full report, "The Forrester Wave(TM): Anti-Money-Laundering Solutions, Q2 2025[ˮ].
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