Lead Technical Product Manager — Machine Learning Platform
Hace 2 días
Barcelona, Cataluña, España
N26
Jornada completa
Gratis con email o Google
Guarda esta oferta y sigue tu búsqueda
Crea una cuenta gratis para guardar empleos, crear alertas y volver a esta oferta desde tu panel.
Gratis con email o Google
Al continuar, aceptas nuestros Términos & Política de Privacidad.
Experteer Overview
Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta oportunidad? Descúbralo a continuación.
As Lead Technical Product Manager for the ML Platform at N26, you define the long-term vision and architecture for core ML infrastructure. You will align platform strategy with engineering and executive goals, enabling squads to automate risk assessments, prevent financial crime, and scale operations. You design high-throughput, real-time ML capabilities and governance to support Financial Crime, Credit Risk, and Core Operations. You lead multi-squad initiatives, shaping resilient, compliant, sub-second scoring systems that drive business outcomes.
Compensaciones / Beneficios
• Define and execute the multi-year roadmap for the central ML platform, aligning with engineering architecture and executive goals
• Oversee high-volume ML capabilities supporting real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning
• Scale enterprise MLOps infrastructure, including feature stores, real-time feature extraction, model registries, retraining triggers, and ML CI/CD
• Establish robust evaluation and governance, including offline/online evaluation, shadow deployment (champion/challenger), and real-time monitoring for drift, latency, and data quality
• Bridge technical leadership and compliance by partnering with data scientists, ML engineers, Security, and Legal to meet EU banking governance and auditability standards
• Elevate the PM function by establishing best practices, PRD standards, and self-service ML integration blueprints while mentoring Product Managers
Responsabilidades
• 7+ years of Product Management experience in a technology-driven environment
• at least 4 years focused on building, scaling, and managing core ML platform capabilities or data infrastructure
• experience shipping ML products in high-concurrency, low-latency environments (FinTech, payments, or high-scale consumer tech)
• experience in leading multi-squad initiatives and presenting to C-level executives and regulatory bodies
• xghoner hands-on understanding of predictive ML methodologies and modern MLOps pipelines (e.g., feature stores, Kafka streams, vector databases, automated retraining)
• strong ability to define model performance metrics and translate them into ROI
• ability to evaluate real-time vs batch scoring trade-offs and explainability considerations
• deep understanding of GDPR, data privacy, and audit trails in regulated environments
Requisitos principales
• personal development budget
• work from home budget
• fitness u0026 wellness discounts
• public transportation subsidies
• premium N26 bank account subscription
• relocation package with visa support
Experiencia, cualificaciones y habilidades interpersonales, ¿tiene todo lo necesario para triunfar en esta oportunidad? Descúbralo a continuación.
As Lead Technical Product Manager for the ML Platform at N26, you define the long-term vision and architecture for core ML infrastructure. You will align platform strategy with engineering and executive goals, enabling squads to automate risk assessments, prevent financial crime, and scale operations. You design high-throughput, real-time ML capabilities and governance to support Financial Crime, Credit Risk, and Core Operations. You lead multi-squad initiatives, shaping resilient, compliant, sub-second scoring systems that drive business outcomes.
Compensaciones / Beneficios
• Define and execute the multi-year roadmap for the central ML platform, aligning with engineering architecture and executive goals
• Oversee high-volume ML capabilities supporting real-time transaction monitoring, automated credit risk scoring, and operational workflow decisioning
• Scale enterprise MLOps infrastructure, including feature stores, real-time feature extraction, model registries, retraining triggers, and ML CI/CD
• Establish robust evaluation and governance, including offline/online evaluation, shadow deployment (champion/challenger), and real-time monitoring for drift, latency, and data quality
• Bridge technical leadership and compliance by partnering with data scientists, ML engineers, Security, and Legal to meet EU banking governance and auditability standards
• Elevate the PM function by establishing best practices, PRD standards, and self-service ML integration blueprints while mentoring Product Managers
Responsabilidades
• 7+ years of Product Management experience in a technology-driven environment
• at least 4 years focused on building, scaling, and managing core ML platform capabilities or data infrastructure
• experience shipping ML products in high-concurrency, low-latency environments (FinTech, payments, or high-scale consumer tech)
• experience in leading multi-squad initiatives and presenting to C-level executives and regulatory bodies
• xghoner hands-on understanding of predictive ML methodologies and modern MLOps pipelines (e.g., feature stores, Kafka streams, vector databases, automated retraining)
• strong ability to define model performance metrics and translate them into ROI
• ability to evaluate real-time vs batch scoring trade-offs and explainability considerations
• deep understanding of GDPR, data privacy, and audit trails in regulated environments
Requisitos principales
• personal development budget
• work from home budget
• fitness u0026 wellness discounts
• public transportation subsidies
• premium N26 bank account subscription
• relocation package with visa support