Fingerprint
51 - 200 employees
Founded 2019
🔒 Cybersecurity
🔌 API
☁️ SaaS
💰 $32M Series B on 2021-11
Cybersecurity • API • SaaS
Fingerprint is a technology company focused on bot detection and identification solutions. The platform helps businesses ensure a secure online environment by accurately identifying users and distinguishing between real users and automated bots. They provide developer guides and workspace settings for easy integration into various applications, enhancing security and user experience.
Senior Technical Product Manager, Bot & AI Automation Intelligence
🕒 Yesterday
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Fingerprint
51 - 200 employees
Founded 2019
🔒 Cybersecurity
🔌 API
☁️ SaaS
💰 $32M Series B on 2021-11
Cybersecurity • API • SaaS
Fingerprint is a technology company focused on bot detection and identification solutions. The platform helps businesses ensure a secure online environment by accurately identifying users and distinguishing between real users and automated bots. They provide developer guides and workspace settings for easy integration into various applications, enhancing security and user experience.
📋 Description
• Own the strategy and execution of Fingerprint’s Bot Detection offering • 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 • Drive the plan for expanding and improving detection coverage • Partner with Engineering and Data Science to define evaluation methodology, quality targets, and iteration loops • Define how we evolve from “bot detection” toward automation + intent intelligence • Drive strategy for our Automation Intelligence API • Define and ship customer-facing product surfaces for Bot Detection • Partner with Sales, CS, and Marketing to define value messaging and positioning • Operate as the “single-threaded owner” across Product, Engineering, Data Science, Design, GTM, and Customer Success
🎯 Requirements
• 3+ years 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 (alignment, prioritization, and execution) • Customer empathy and ability to translate customer problems into roadmap and requirements • Strong data-informed decision making (defining success metrics, reading dashboards, and partnering with Product Analytics / DS) • Comfort with measurement and iteration in detection systems: precision/recall tradeoffs, false positive/false negative analysis, coverage targets, and model/rule iteration loops • Familiarity with privacy and regulatory constraints (e.g., GDPR/CCPA) as applied to detection signals; ability to drive privacy-preserving product requirements • Deep understanding of web technologies and automation techniques (browser + API automation), and how detection systems behave under adversarial pressure. • Understanding of network and IP intelligence, including residential proxies and modern spoofing and tampering techniques • Familiarity with detection signal pipelines (client-side instrumentation, server-side ingestion, feature engineering) and operating constraints (latency, scale, robustness) • Experience with build vs buy evaluations in security/detection domains (and translating the outcome into an execution plan) • Familiarity with privacy/security constraints and global compliance considerations (e.g., GDPR/CCPA) as applied to detection signals • Experience building products that combine heuristic + ML approaches, and defining measurement for both.
🏖️ Benefits
• Health insurance • Flexible working hours • Paid time off • Professional development opportunities
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