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Amsterdam
1 day ago
Product Manager logo

Product Manager

Fourthline

Amsterdam
1 day ago
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Product Manager

Fourthline is seeking a Product Manager to lead and grow its Biometrics product suite, working at the intersection of applied AI and financial crime prevention. The role involves shaping the product roadmap, partnering with engineering and ML teams, and driving measurable business outcomes. Candidates should have 5+ years of product management experience with exposure to ML or AI-powered products.

Core AIOn-siteFull-timeMid LevelProduct ManagementMachine Learning

Product Manager

Fourthline is seeking a Product Manager to lead and grow its Biometrics product suite, working at the intersection of applied AI and financial crime prevention. The role involves shaping the product roadmap, partnering with engineering and ML teams, and driving measurable business outcomes. Candidates should have 5+ years of product management experience with exposure to ML or AI-powered products.

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Core AIOn-siteFull-timeMid LevelProduct Management

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

On-site

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-driven prioritizationROI analysisStakeholder managementAgile
Soft Skills
Collaborative mindsetCommunicationLeadership

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.
  • •Shape a clear product roadmap in collaboration with engineering and data science.
  • •Work hand-in-hand with ML engineers to define what 'production-ready' looks like for AI-powered verification checks.
  • •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.
  • •Ensure biometric products meet the highest quality, security, and regulatory standards, including data protection requirements around biometric and sensitive personal data.
Product ManagerBiometricsAIMachine LearningFinancial ServicesFinTechIdentity VerificationAmsterdam
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