Sr Technical Product Manager, Bot & AI Automation Intelligence
New
F
FingerprintCybersecurity, Fraud Detection
Globally dispersed, 100% remote company; Americas → Central European time zones preferred, Americas to Central European time zones preferredFull-TimeSenior
Salary144,000 - 195,000 USD per year
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Job Details
- Experience
- 3+ years experience at, or deep familiarity with, bot management / fraud / abuse platforms
- Required Skills
- Machine LearningProduct ManagementData scienceRESTful APIs
Requirements
- 3+ years of experience at or deep familiarity with bot management, fraud, or abuse platforms.
- Strong ownership and experience leading cross-functional alignment, prioritization, and execution.
- Ability to translate complex customer problems into clear product roadmaps and requirements.
- Proven experience with data-informed decision-making and defining success metrics.
- Deep understanding of web technologies and automation techniques (browser and API).
- Understanding of network and IP intelligence, including residential proxies and spoofing techniques.
- Comfort with detection systems measurement, including precision/recall trade-offs and false positive/negative analysis.
- Experience building products that combine heuristic and ML approaches.
- Familiarity with privacy and regulatory constraints (e.g., GDPR/CCPA) in the context of detection signals.
- Experience with build vs. buy evaluations in security domains.
Responsibilities
- Set mission, vision, and strategy for Bot Detection as a distinct product line.
- Own the product roadmap across detection capabilities, taxonomy, customer-facing UX, and GTM readiness.
- Drive expansion of detection coverage including anti-detect browsers, network intelligence, and AI assistant detection.
- Partner with Engineering and Data Science to define evaluation methodologies and iteration loops for detection quality.
- Lead strategy for Automation Intelligence APIs, ensuring consistency across JS-based and server-side contexts.
- Define and ship customer-facing surfaces including dashboards, APIs, and integration workflows.
- Operate as the single-threaded owner across Product, Engineering, Data Science, Design, GTM, and CS.
- Run quarterly planning, manage dependencies, and communicate product trade-offs.
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