(Sr) Technical Product Manager, Bot and AI Agent Detection

Fingerprintempowers developers to stop online fraud at the source.

We work on turning radical new ideas in the fraud detection space into reality. Our products are developer-focused and our clients range from solo developers to publicly traded companies.We are a globally dispersed, 100% remote company with a strong open-source focus. Our flagship open-source project is FingerprintJS (20K stars on GitHub).

We have raised $77Mand are backed by Craft Ventures (previously invested inTesla,Facebook,Airbnb), Nexus Venture Partners (previously invested in Postman, Apollo.io, MinIO, Druva)and Uncorrelated Ventures (previously invested inRedis,Rollbar&Gradle).

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Fingerprint recruiting email communications will always come from the @fingerprint.com domain. Any outreach claiming to be from Fingerprint via other sources should be ignored.

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. We move fast, value deep curiosity, and create space for individual ownership and impact.

• 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

• 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

• 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

For US-based employees, the cash compensation range for this role is $150,000 – $200,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. However,these ranges are specific to the hiring location and may differ within or outside the US. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.