
Sr Technical Product Manager, Bot & AI Automation Intelligence
Overview
Fingerprint empowers developers to stop online fraud at the source. We work on turning radical new ideas in the fraud detection space into reality.
Job Description
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 (27K stars on GitHub). We have raised $77M and are backed by Craft Ventures (previously invested in Tesla, Facebook, Airbnb), Nexus Venture Partners (previously invested in Postman, Apollo.io, MinIO, Druva) and Uncorrelated Ventures (previously invested in Redis, Rollbar & Gradle).
Responsibilities
- - Bot Detection product strategy & roadmap
- - Detection capabilities & intelligence (the “what we detect” layer)
- - “Beyond JS” / edge & server-side automation detection
- - Customer experience: Dashboard, APIs, and developer workflows
- - Commercialization & GTM readiness (in partnership)
- - Cross-functional program leadership
Required Skills
- - 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
About the company
Identify every visitor. Stop fraud, detect bots, or delight customers. Identify good and bad visitors with industry-leading accuracy - even if they're anonymous.
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