Senior Technical Product Manager, Bot and AI Agent Detection

Summary

Join Fingerprint, a globally dispersed, 100% remote company, as a (Senior) Technical Product Manager to shape the future of automation and intent detection. You will own the product lifecycle, from identifying evolving threats to delivering products that help customers classify traffic and protect digital experiences. Work alongside engineers, data scientists, and fraud experts to develop detection capabilities, translate customer challenges into product requirements, and use data to inform decisions. Collaborate with customers to understand their workflows and ensure detection capabilities are privacy-conscious and compliant. Communicate the value of detection features internally and externally. Fingerprint offers a fast-paced environment with opportunities for individual ownership and impact.

Requirements

• 3–8+ years of experience in technical product management, ideally in bot detection, fraud prevention, or cybersecurity
• Familiarity with automation detection, fingerprinting, signal pipelines, and browser/mobile SDKs
• Strong understanding of adversarial tactics and classification methods, including ML-based approaches
• Clear track record of roadmap ownership, fast iteration cycles, and writing detailed, developer-friendly specs
• Confidence working across technical and non-technical teams to ship and communicate impactful features
• Experience using product data tools like Amplitude, Sigma, or similar platforms to drive decisions
• Awareness of global privacy regulations and ethical considerations around behavioral tracking

Responsibilities

• Lead the product roadmap for bot and AI agent detection, staying ahead of emerging trends in automation and adversarial behavior
• Develop detection capabilities that identify automated traffic, classify intent, and integrate with fraud scoring systems, WAFs, and security platforms
• Partner with engineering, data science, sales engineering, and product analytics to ship features that deliver real-world protection at scale
• Translate customer challenges into clear product requirements and prioritize for impact using frameworks like RICE
• Use tools like Amplitude, Sigma, and Preset to inform decisions with product usage and performance data
• Collaborate with customers—particularly security, fraud, and risk teams—to deeply understand their workflows and needs
• Ensure detection capabilities are privacy-conscious and compliant with global standards (e.g., GDPR, CCPA)
• Communicate how detection features work and where they drive value—both internally and externally

Preferred Qualifications

• Experience at a bot detection, fraud prevention, or security company (e.g. HUMAN, Arkose, DataDome)
• Contributions to open-source tools or published research in fraud/automation detection
• Deep understanding of AI agents and how they interact with modern apps