Engineering Manager, Identification Accuracy
Pubblicato il 21-08-2026 - Jobgether in Italia
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Engineering Manager, Identification Accuracy based in Italy.
This is a high-impact engineering leadership role at the intersection of machine learning, data science, and fraud prevention. You will lead a multidisciplinary team responsible for improving the accuracy and reliability of a critical identification platform. The role combines people leadership, technical strategy, and hands-on program direction in a globally distributed, fully remote environment. You’ll shape the team roadmap and guide the development of production ML systems operating at massive scale. Working closely with engineering, product, and customer-facing teams, you’ll translate business needs into meaningful technical priorities. This is an opportunity to influence both the technology and the people behind a best-in-class fraud detection capability.
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Accountabilities
Lead and grow a multidisciplinary Identification Accuracy team spanning ML engineers, data scientists, analysts,
and analytics engineers, fostering psychological safety, technical excellence, accountability, and continuous improvement.
Own the team’s technical roadmap in collaboration with senior engineering leadership and cross-functional stakeholders, identifying opportunities to improve model quality and address complex identification challenges.
Drive measurable model accuracy outcomes by enabling the team to design, train, evaluate, and deploy machine learning models that improve identification performance across billions of devices.
Oversee the delivery of production ML systems across data pipelines, feature engineering, model development, evaluation, and deployment, ensuring reliability and scalability.
Partner closely with platform and API engineering teams to understand downstream requirements, performance expectations, and latency constraints.
Collaborate with Product and customer-facing tea
