Senior Technical Product Manager, Bot & AI Automation Intelligence

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Take charge of the strategy and implementation of Fingerprint’s Bot Detection service.

• Establish the mission, vision, and strategy for Bot Detection as a unique product line.

• Manage the roadmap encompassing detection capabilities, taxonomy/identity models, user experience for customers, and readiness for market entry.

• Lead the initiative to enhance and broaden detection coverage.

• Collaborate with Engineering and Data Science teams to outline evaluation methods, quality targets, and iterative processes.

• Define the transition from “bot detection” to automation and intent intelligence.

• Formulate the strategy for our Automation Intelligence API.

• Create and deliver customer-facing product interfaces for Bot Detection.

• Work with Sales, Customer Success, and Marketing to establish value messaging and product positioning.

• Serve as the “single-threaded owner” across Product, Engineering, Data Science, Design, Go-To-Market, and Customer Success.

⛳️ Requirements

• A minimum of 3 years of experience or extensive familiarity with bot management, fraud, or abuse platforms (e.g., Cloudflare, Akamai, HUMAN, Arkose Labs, DataDome, PerimeterX, Sift, etc.).

• Strong sense of ownership and an effective cross-functional operating rhythm (alignment, prioritization, and execution).

• Empathy for customers and the ability to translate their challenges into a roadmap and requirements.

• Proficient in making data-informed decisions (defining success metrics, interpreting dashboards, and collaborating with Product Analytics/Data Science).

• Comfortable with measuring and iterating detection systems: understanding precision/recall tradeoffs, false positive/false negative analyses, coverage objectives, and model/rule iteration cycles.

• Knowledge of privacy and regulatory frameworks (e.g., GDPR/CCPA) as they relate to detection signals; capability to enforce privacy-preserving product requirements.

• In-depth understanding of web technologies and automation methods (including browser and API automation) and how detection systems respond under adversarial conditions.

• Familiarity with network and IP intelligence, including residential proxies, and contemporary spoofing and tampering techniques.

• Understanding of detection signal workflows (client-side instrumentation, server-side ingestion, feature engineering) and operational limitations (latency, scale, robustness).

• Experience in assessing build versus buy decisions in security/detection sectors and translating findings into an actionable plan.

• Awareness of privacy/security limitations and global compliance requirements (e.g., GDPR/CCPA) as they relate to detection signals.

• Proven experience in developing products that integrate heuristic and machine learning approaches, along with defining metrics for both.

🏝️ Benefits

• Health insurance.

• Flexible working hours.

• Paid time off.

• Opportunities for professional development.