Sr Technical Product Manager, Bot & AI Automation Intelligence

Senior Technical Product Manager

About

Fingerprint empowers developers to stop online fraud at the source by turning radical new ideas in fraud detection into reality. Their developer-focused products serve clients ranging from solo developers to publicly traded companies. Fingerprint is a globally dispersed, 100% remote company with a strong open-source focus, backed by prominent venture capital firms.

Responsibilities

1) Bot Detection Product Strategy & Roadmap:

• Set mission, vision, and strategy for Bot Detection as a distinct product line.
• Own the roadmap across detection capabilities, taxonomy/identity models, customer-facing UX, and go-to-market readiness.
• Define how to evolve from “bot detection” toward automation + intent intelligence.

2) Detection Capabilities & Intelligence:

• Drive the plan for expanding and improving detection coverage.
• Partner with Engineering and Data Science to define evaluation methodology, quality targets, and iteration loops.
• Own the detection taxonomy and classification semantics.
• Translate competitive and threat landscape trends into prioritized detection investments.

3) “Beyond JS” / Edge & Server-Side Automation Detection:

• Drive strategy for the Automation Intelligence API, detecting automation without requiring a browser JS agent.
• Align data contracts and platform requirements for consistent bot/automation signals across JS-based and non-JS collection paths.

4) Customer Experience: Dashboard, APIs, and Developer Workflows:

• Define and ship customer-facing product surfaces for Bot Detection, including dashboard experiences, APIs, and guidance for integrating Bot Detection into customer decisioning pipelines.
• Own plan gating / packaging assumptions for self-serve vs enterprise experiences.

5) Commercialization & GTM Readiness:

• Partner with Sales, CS, and Marketing to define value messaging, run beta motions, and drive launch planning.
• Work cross-functionally on pricing/packaging inputs and operational readiness.

6) Cross-functional Program Leadership:

• Operate as the “single-threaded owner” across Product, Engineering, Data Science, Design, GTM, and Customer Success.
• Run quarterly planning, define clear milestones, manage dependencies, and communicate tradeoffs.

Requirements

• 3+ years of experience at, or deep familiarity with, bot management / fraud / abuse platforms (e.g., Cloudflare, Akamai, HUMAN, Arkose Labs, DataDome, PerimeterX, Sift, etc.).
• High ownership and strong cross-functional operating cadence.
• Customer empathy and ability to translate customer problems into roadmap and requirements.
• Strong data-informed decision making.
• Comfort with measurement and iteration in detection systems.
• Familiarity with privacy and regulatory constraints (e.g., GDPR/CCPA) as applied to detection signals.
• Deep understanding of web technologies and automation techniques.
• Understanding of network and IP intelligence.
• Familiarity with detection signal pipelines.
• Experience with build vs buy evaluations in security/detection domains.
• Experience building products that combine heuristic + ML approaches.