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About the role
- Senior Technical Product Manager leading Bot Detection offering strategy at Fingerprint. Owns product execution, roadmap, and commercial outcomes in an AI-automated world.
Responsibilities
- 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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