The ABM Manager will design and manage multi-channel campaigns, drive engagement, and align marketing strategies with BDR and product teams.

As an Analytics Engineer, you will develop tools for data analytics, analyze trends, design experiments, and foster a data-driven culture using best practices in software engineering.

As a Customer Success Engineer, you'll onboard users, provide technical support, build customer relationships, and advise on API integration to enhance user experience.

Lead the development of fraud detection solutions by designing scalable backend systems and analyzing traffic data, implementing data engineering practices and optimizing performance.

Join Fingerprint's talent community to connect for future job opportunities, share referrals, and receive updates on the company and industry insights.

The Enterprise Account Executive is responsible for managing client relationships, driving sales cycles, and closing deals in the developer-focused fraud detection space.

The Senior TypeScript Engineer will develop browser-based technologies, including a TypeScript/JavaScript agent for device identification and security, optimize code for performance, and collaborate with cross-functional teams.

The Software Engineer will develop and maintain integrations between Fingerprint and various cloud platforms, enhance the dashboard, and contribute to open-source projects, ensuring effective communication and security for customer workflows.

As a Lead Data Scientist, you will improve Fingerprint's Identification Service using machine learning, mentor engineers, and drive data-driven culture.

As a Senior Android Engineer, you will design and optimize Android applications with a focus on security, collaborate with teams, and mentor juniors.

As a Senior Backend Engineer, you'll design and maintain backend services, lead discussions on architecture, and collaborate with cross-functional teams to integrate APIs, focusing on high-performance fraud prevention solutions.

The Senior Backend Engineer will build a fraud prevention device intelligence network, collaborating with stakeholders and delivering quick results to adapt to changing requirements.

Research and develop methods to detect sophisticated bots through reverse engineering, creating research tools, and owning the full R&D lifecycle.