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DataVisor

Real-time fraud detection & risk management

Technical Project Manager - Client Service Delivery

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeMountain View, CA, USAHybrid

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a technical Project Manager or in a similar technical role.
  • Strong understanding of software development, system architecture, and integration principles, including solutioning for SaaS platform data integration.
  • Ability to explain complex technical concepts to non-technical audiences.
  • Strong client-facing communication and client management capabilities.
  • Ability to work collaboratively and manage multiple projects simultaneously.
  • Creative problem-solving and a results-oriented mindset.

Responsibilities

  • Manage client communications throughout delivery, align client stakeholders, and ensure projects are delivered successfully without delay.
  • Work with clients, sales teams, and other stakeholders to ensure successful project outcomes.
  • Understand clients' product and business logic to recommend solutions addressing their needs, and provide solution and consulting services.
  • Manage client onboarding projects to ensure they run as expected and remain under control.
  • Provide technical expertise and guidance during implementation and deployment to integrate with client systems.
  • Work with product and engineering teams to integrate new features and technologies into existing systems.
  • Stay updated on financial services industry trends and emerging technologies to improve solutions and offerings.
  • Present and demonstrate proposed solutions to clients and stakeholders.

Desired Qualifications

  • Knowledge of anti-fraud in the financial or internet industry.
  • Experience in real-time computing, big data, or machine learning.

About the Company

DataVisor

Real-time fraud detection & risk management

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, CA
Founded
2013

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