Senior Technical Product Manager, Fingerprint

• 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

Desirable

• We’re looking for a (Senior) Technical Product Manager to shape the future of automation and intent detection in a world increasingly powered by AI
• In this role, you’ll own the product lifecycle—from identifying evolving threats and researching new detection techniques, to delivering products that help customers classify traffic, protect digital experiences, and integrate detection insights into security systems
• You’ll work alongside a globally distributed team of engineers, data scientists, and fraud experts
• 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