Guide the evolution of AML products by defining strategies, conducting market research, collaborating across teams, and integrating AI-driven solutions for AML detection.

Develop fraud and risk platform backend using Java and C++. Collaborate across teams to translate roadmap into deliverable features.

Internship focused on quality assurance in software, including test case execution, user experience improvement, and automation framework maintenance.

As a Senior Product Support Engineer, you'll provide technical support, triaging requests, and collaborating with engineering teams to resolve product issues.

Design and build advanced machine learning systems to detect fraud in real-time, optimize detection algorithms, and develop distributed systems.

As a Senior Software Engineer, you'll design and build machine learning systems to detect fraud in real-time, focusing on data processing and system optimization.

The Senior Product Manager at DataVisor will oversee data integration with third-party systems, ensure high-quality product delivery, and collaborate cross-functionally to enhance customer onboarding and marketing strategies.

As a Business Operations Analyst, you will manage operational systems, support integrations, prepare reports, and analyze business performance to enable data-driven decision-making.

Build machine learning systems for fraud detection, improve algorithms, and develop real-time systems using big data technologies.

Design and build machine learning systems to detect fraud, optimize tools, and develop real-time distributed systems using big data technologies.

The role involves designing and building machine learning systems for real-time fraud detection, utilizing big data technologies and real-time streaming technologies.

Analyze and test software systems, conduct requirement analyses, maintain automation frameworks, and collaborate with teams to improve user experience and fix issues.

The Sales Executive will focus on acquiring new clients and managing existing client relationships to achieve business goals and drive customer satisfaction.

The Sales Executive will acquire new clients, manage key client relationships, and ensure their business objectives align with company offerings. Responsibilities include driving customer satisfaction and retention through strategic planning and collaboration with cross-functional teams.

Manage client relationships, oversee data integration, provide technical guidance, and implement fraud detection solutions while ensuring customer success.

Design and build machine learning systems to detect fraud. Develop real-time distributed systems and large scale data processing solutions.

Lead strategic direction and execution of fraud solutions. Optimize fraud strategies, collaborate with data science, engage clients, and represent the company at events.

The Fraud Strategy Manager leverages fraud detection products to solve client issues, provides technical solutions, and collaborates with teams.

The Senior Customer Success Manager serves enterprise clients, driving ROI through fraud detection, AML compliance, and operational optimization, while managing customer relationships and collaborating with internal teams.

The Regional Vice President will manage strategic enterprise accounts, drive revenue growth, ensure customer success, and identify upsell opportunities.