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Director of AI & Biometrics

Tools for Humanity· Product
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MunichFull-timePosted 7mo ago

About the role

Director-level leadership role overseeing World’s biometric recognition stack (iris and face recognition) and related fraud defenses, with ownership of end-to-end ML system lifecycle, high-scale production deployment, and cross-functional leadership to scale the biometrics team.

Responsibilities

  • Own the vision, roadmap, and execution for World’s biometric recognition stack (iris/face recognition and related fraud defenses), balancing research innovation with production reliability
  • Lead the end-to-end ML system lifecycle: data acquisition strategy, data pipelines and dataset governance (privacy, access control, lineage, compliance), training, evaluation, benchmarking at scale, deployment and optimization for mobile devices and custom hardware, monitoring, regression detection, incident response, and fast iteration loops
  • Define and drive performance goals that balance biometric accuracy, user experience, and fraud resistance, using clear metrics, benchmarks, and production feedback loops
  • Establish strong engineering and scientific standards: reproducible experimentation, code quality, testing, review culture, MLOps discipline, and documentation
  • Partner on the technical vision and strategy with hardware, product, and security teams to ensure tight integration between sensing, image acquisition, on-device inference, and backend systems
  • Attract, develop and coach a diverse team of experts with different levels of seniority; create clear career paths, feedback loops, and a culture of ownership and excellence
  • Foster a collaborative environment for brainstorming, advising, and knowledge sharing
  • Lead hiring, team design, and organizational scaling from today’s team size toward next year’s growth plan
  • Represent biometrics leadership internally as the primary point of contact for company leadership, clearly communicating trade-offs, risks, and progress, and driving alignment across all stakeholders

Qualifications

  • Strong science and/or engineering background (e.g., computer vision, machine learning, robotics, signal processing, or related field) with ability to evaluate and guide both research and engineering decisions
  • Demonstrated experience with modern and traditional computer vision / ML, and full lifecycle (data → training → deployment → monitoring → iteration)
  • Proven ability to deliver production-grade ML systems, including deployment on mobile devices and/or performance-constrained environments; experience with custom hardware is a strong plus
  • Significant experience leading engineering and/or applied research teams of meaningful size, including setting direction, prioritization, and execution in a complex environment
  • Demonstrated ability to lead cross-functional efforts across product, engineering, research, and operations
  • Strong people leadership: management, mentoring, hiring, performance management, and scaling teams
  • Comfort operating at multiple levels - from strategy, architecture and metrics down to helping unblock critical technical problems
  • Excellent communication skills: able to align cross-functional partners and explain technical decisions to varied audiences

Skills

Required:Biometric ML system lifecycleData governance and privacyLeadership and people managementCross-functional collaboration
Last updated Aug 19, 2026. Interested? Apply on the company site.
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About Tools for Humanity

Tools for Humanity is a technology company building for humans in the age of AI.

Tools for Humanity is a technology company building for humans in the age of AI.

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