Sr Technical Product Manager, Bot and AI Agent Detection jobs in United States
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Fingerprint · 1 day ago

Sr Technical Product Manager, Bot and AI Agent Detection

Fingerprint empowers developers to stop online fraud at the source. They are seeking a Senior Technical Product Manager to shape the future of automation and intent detection in a world increasingly powered by AI, owning the product lifecycle and collaborating with a globally distributed team to deliver impactful solutions.

Cyber SecurityFraud DetectionSoftware
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Growth Opportunities
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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

Qualification

Technical product managementBot detectionFraud preventionCybersecurityAutomation detectionMachine learningProduct data toolsGlobal privacy regulationsCommunication skillsCollaboration skills

Required

6-10 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
Role requires proficiency with macOS and comfort working fully remotely using tools such as Slack, Google Workspace, and Zoom

Preferred

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

Company

Fingerprint

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The highest accuracy device identity platform for high-scale applications

Funding

Current Stage
Growth Stage
Total Funding
$77M
Key Investors
Craft VenturesNexus Venture Partners
2023-10-17Series C· $33M
2021-11-03Series B· $32M
2021-02-11Series A· $8M

Leadership Team

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Dan Pinto
Co-Founder & CEO
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Company data provided by crunchbase