Fingerprint
SrTechnicalProductManager,Bot&AIAutomation
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr Technical Product Manager, Bot & AI Automation at Fingerprint. Skills: Fraud Detection, Product Management. Drive privacy-preserving product requirements. Develop product strategy”
Industry & Context.
Root cause analysis
Authorized to work, No visa sponsorship
What They're Looking For.
Must Have
Deep understanding of web technologies, Understanding of automation techniques, Understanding of detection systems, Understanding of network and IP intelligence, Understanding of modern spoofing techniques, Familiarity with detection signal pipelines, Familiarity with operating constraints, Experience with build vs buy evaluations, Experience translating outcomes into execution plans, Familiarity with privacy/security constraints, Familiarity with global compliance considerations, Experience building products combining heuristic + ML approaches, Experience defining measurement for heuristic + ML approaches
Nice to Have
Technical fluency, Experience with residential proxies, Experience with tampering techniques, Experience with client-side instrumentation, Experience with server-side ingestion, Experience with feature engineering, Experience with latency constraints, Experience with scale constraints, Experience with robustness constraints, Experience with security/detection domains, Experience with GDPR/CCPA, Experience with ML approaches, Experience defining measurement for ML approaches
What You'll Do.
Drive privacy-preserving product requirements
Develop product strategy
Define product roadmap
Collaborate cross-functionally
How You'll Work.
Team & Collaboration
Cross-functional collaboration
Process & Methodology
Roadmap planning, User stories
Full Job Description
Fingerprint empowers 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 (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 ability to drive privacy-preserving product requirements. Strongly preferred (technical fluency) 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. For US-based employees, the cash base compensation range for this role is $144,000 - $195,000. 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 spe
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