At Veriff, we’re building the foundational trust layer of the internet — and biometric authentication is central to that mission. This team isn’t just shipping features; it’s shaping the future of digital identity to make it safer, faster, and more reliable. We’re guided by metrics like authentication speed, accuracy, system availability, user satisfaction, and real-world impact against emerging threats.

We’re looking for an experienced Engineering Manager to lead our Biometric Solutions team — the group driving Veriff’s shift from one-time identity checks to continuous biometric authentication. This team builds the intelligence and infrastructure behind real-time biometric and liveness verification, forming the backbone of our trust platform.

You’ll lead a high-performing team working across computer vision, machine learning, user experience, and regulatory requirements. In close collaboration with product, ML platform, fraud prevention, and legal teams, you’ll help ensure Veriff stays secure, responsive, and future-proof against increasingly sophisticated virtual identity threats.

Join us if you’re ready to tackle deep technical challenges, shape how users interact with biometric systems, and help Veriff become the trust authority for the digital age.

You’ll help us protect honest people online by:

• Leading, growing, and developing a high-performing engineering team responsible for core biometric infrastructure, including authentication and liveness detection.
• Defining the team’s structure and evolution as it doubles in size, introducing clear processes and scalable execution practices.
• Owning the end-to-end delivery of biometric products — from model training to SDK integrations and user experience — ensuring performance, scalability, and regulatory compliance from ideation to measurable outcomes.
• Partnering with product leadership to define and execute strategy, influencing roadmap, technical architecture, and go-to-market readiness.
• Driving initiatives that bring core biometric IP in-house, reducing third-party dependencies and increasing control over performance and innovation.
• Ensuring operational excellence, observability, and robustness across all systems under your team’s ownership.
• Building a team culture centered on trust, technical curiosity, and high-quality execution.
• Contributing to Veriff’s global security posture by future-proofing our defences against spoofing, deepfakes, and generative AI–based attacks.
• Mentoring engineers and engineering leads, providing feedback and support for long-term growth.

You are the right future Veriffian for the job if:

• You bring technical leadership in machine learning, computer vision, or platform engineering — and are passionate about applying that expertise to solve real-world identity and trust challenges.
• You’ve built or led teams responsible for end-to-end products, combining backend systems, model deployment, and customer-facing integrations (e.g., SDKs).
• You’re comfortable with high-growth environments and have experience designing systems that scale with both product adoption and team size.
• You demonstrate a strong ability to balance technical depth with people leadership, especially as the team grows and the role becomes more strategic.
• You know how to navigate ambiguity and define structure where none exists, all while keeping your team focused and motivated.
• You’re excited to work in a regulated domain, collaborating with legal and compliance to create safe, privacy-preserving experiences.

You’re an especially awesome match if you have:

• Experience leading teams in biometrics, computer vision, or applied machine learning, especially in domains like authentication, anti-spoofing, or user verification.
• Familiarity ML Development Framworks, and embedding-based architectures in production.
• Exposure to regulated domains (e.g., identity verification, fintech, healthcare) with an understanding of data privacy principles and user consent flows.
• Proven ability to integrate ML systems into real-time user experiences, including on-device or SDK-based inference.
• Experience partnering with ML platform teams to deploy models efficiently and monitor performance post-deployment.
• Strong systems thinking — you can architect for both short-term impact and long-term differentiation.

• Flexibility to work from home
• Stock options that ensure your share in our success
• Extra recharge days on top of your annual vacation
• Comprehensive relocation support to Estonia or Spain
• Extensive medical, dental, and vision insurance to ensure you’re feeling great physically and mentally
• Learning and Development & Health and Sports budget that you are free to tailor to your own needs
• Four weeks of fully paid sabbatical leave after reaching your 5th work anniversary