Biometrics Product Leader - AI-Driven Identity Verification

Fourthline

Amsterdam

Sur place

EUR 70 000 - 100 000

Plein temps

14 jours+

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Résumé du poste

Fourthline is seeking a passionate Product Manager to lead and grow our Biometrics product suite within the Identity Verification platform. You will shape the roadmap, partner with Engineering Manager and ML engineers, and translate technical progress into business impact.

You’ll drive automated flows, improve verification outcomes, and ensure regulatory and security standards are met, while collaborating with data science, engineering, and commercial teams to deliver customer value at scale.

Qualifications

  • 5+ years of experience in a Product Owner or Manager role with exposure to ML, computer vision, or AI-powered products.
  • Genuine interest in applied AI and turning research into production-grade products.
  • Ability to connect product decisions to business outcomes and ROI.
  • Collaborative mindset working with engineering, data, and commercial teams.
  • Experience in identity verification, biometrics, or Banking/FinTech/RegTech is a strong plus.

Responsabilités

  • Lead the biometrics product area in collaboration with the Engineering Manager and ML engineers.
  • Shape a clear product roadmap grounded in technical feasibility and business priorities.
  • Define production-ready criteria for AI-powered verification checks with ML teams.
  • Drive measurable business outcomes: automation rates, verification conversion, fraud prevention.
  • Prioritize using data: track metrics like accuracy, false acceptance/rejection, and automation.
  • Ensure high quality, security, and regulatory standards including biometric data protection.

Connaissances

Product management
ML familiarity
Biometrics
Identity verification
Cross-functional collaboration

Description du poste

Fourthline is seeking a passionate Product Manager to lead and grow our Biometrics product suite within the Identity Verification platform. You will shape the roadmap, partner with Engineering Manager and ML engineers, and translate technical progress into business impact.

You’ll drive automated flows, improve verification outcomes, and ensure regulatory and security standards are met, while collaborating with data science, engineering, and commercial teams to deliver customer value at scale.

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