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Amsterdam
2 weeks ago
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Product Manager

Fourthline

Amsterdam
2 weeks ago
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Product Manager

Fourthline is seeking a Product Manager to lead the Biometrics product suite within its Identity Verification platform. This role involves working at the intersection of applied AI and financial crime prevention to turn ML models into production-grade products. The ideal candidate has 5+ years of product management experience with exposure to AI/ML, and thrives in a collaborative, data-driven environment.

AIHybridFull-timeSeniorProduct ManagementMachine Learning

Product Manager

Fourthline is seeking a Product Manager to lead the Biometrics product suite within its Identity Verification platform. This role involves working at the intersection of applied AI and financial crime prevention to turn ML models into production-grade products. The ideal candidate has 5+ years of product management experience with exposure to AI/ML, and thrives in a collaborative, data-driven environment.

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AIHybridFull-timeSeniorProduct Management

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

5 years

Employment Type

Full-time

Experience Level

5+ years of experience in a Product Owner or Manager role

Core Qualifications

Technical (Must-have)
Product ManagementMachine LearningComputer VisionAIData AnalysisROI AnalysisCommunicationCollaborationStakeholder Management
Soft Skills
CollaborationData-Driven Decision MakingCommunicationLeadershipProblem Solving

Preferred Qualifications

Technical (Nice-to-have)
Identity VerificationBiometricsBankingFinTechRegTech

Key Responsibilities

  • •Lead the biometrics product area in close partnership with the Engineering Manager and ML engineers — aligning on priorities, unblocking the team, and ensuring product and engineering move in the same direction toward shared outcomes.
  • •Shape a clear product roadmap in collaboration with engineering and data science — grounded in technical feasibility and business priorities, and communicated effectively to commercial and leadership audiences.
  • •Work hand-in-hand with ML engineers to define what 'production-ready' looks like for AI-powered verification checks — jointly balancing model performance, user experience, and regulatory requirements.
  • •Drive measurable business outcomes together with the team: improving automation rates, increasing verification conversion, strengthening fraud prevention, and building the business case for new capabilities.
  • •Take a data-driven approach to prioritization, using metrics like automation rates, match accuracy, and false acceptance/rejection rates — and work with the team to instrument, interpret, and act on them.
  • •Ensure biometric products meet the highest quality, security, and regulatory standards, including data protection requirements around biometric and sensitive personal data.
Product ManagerBiometricsMachine LearningIdentity VerificationFinTechRegTechAmsterdamHybridSenior
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