Senior Technical Product Manager, Bot & AI Automation Intelligence

Role Description

We’re looking for a Senior Technical Product Manager to own the strategy and execution of Fingerprint’s Bot Detection offering in an increasingly AI-automated world — from defining what we detect (and how we classify intent), to shipping customer-facing product experiences, to driving adoption and commercial outcomes.

Location / level: Remote-friendly (Americas → Central European time zones preferred).

What you’ll own

• Bot Detection product strategy & roadmap:
  • 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.
  • Define evolution from “bot detection” toward automation + intent intelligence.
• Detection capabilities & intelligence:
  • Drive the plan for expanding and improving detection coverage.
  • Partner with Engineering and Data Science to define evaluation methodology, quality targets, and iteration loops.
  • Own the detection taxonomy and classification semantics.
  • Translate competitive and threat landscape trends into prioritized detection investments.
• “Beyond JS” / edge & server-side automation detection:
  • Drive strategy for our Automation Intelligence API.
  • Align data contracts and platform requirements for consistent bot/automation signals.
• Customer experience:
  • Define and ship customer-facing product surfaces for Bot Detection.
  • Own plan gating / packaging assumptions for self-serve vs enterprise experiences.
• Commercialization & GTM readiness:
  • Partner with Sales, CS, and Marketing to define value messaging and positioning.
  • Run beta/research preview motions and customer feedback loops.
  • Drive launch planning and enablement.
• Cross-functional program leadership:
  • Operate as the “single-threaded owner” across Product, Engineering, Data Science, Design, GTM, and Customer Success.
  • Run quarterly planning, define clear milestones, manage dependencies, and communicate tradeoffs.

Key outcomes (examples)

• Material improvement in detection coverage and quality.
• A cohesive, easy-to-adopt product experience in Dashboard + API.
• Launches that are sequenced with enablement, documentation, and customer feedback loops.

Qualifications

• 3+ years experience at, or deep familiarity with, bot management / fraud / abuse platforms.
• High ownership and strong cross-functional operating cadence.
• Customer empathy and ability to translate customer problems into roadmap and requirements.
• Strong data-informed decision making.
• Comfort with measurement and iteration in detection systems.
• Familiarity with privacy and regulatory constraints.

Requirements

• Deep understanding of web technologies and automation techniques.
• Understanding of network and IP intelligence.
• Familiarity with detection signal pipelines and operating constraints.
• Experience with build vs buy evaluations in security/detection domains.
• Familiarity with privacy/security constraints and global compliance considerations.
• Experience building products that combine heuristic + ML approaches.

Benefits

• For US-based employees, the cash base compensation range for this role is $144,000 - $195,000.
• Offers vary depending on relevant experience, education, certifications/licenses, skills, training, and market conditions.
• We do not sponsor visas; candidates must be authorized to work from their home location.

Company 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.

We have raised $77M and are backed by Craft Ventures, Nexus Venture Partners, and Uncorrelated Ventures.

We are dedicated to creating an inclusive work environment for everyone and highly encourage people from underrepresented groups in tech to apply.