Engineering Manager, Identification Accuracy

📋 Description Lead a multidisciplinary team of ML Engineers, Data Scientists, Analysts, and Analytics Engineers Own and drive team roadmap with engineering leadership and cross-functional stakeholders Support development, evaluation, deployment, and continuous improvement of production ML models Guide teams in building reliable production ML systems: data pipelines, feature engineering, model Establish culture of continuous improvement, experimentation, and data-driven decisions Collaborate with engineering, product, and customer-facing teams to translate customer challenges 🎯 Requirements Minimum of 2 years leading ML, data science, or engineering teams in agile environments 5+ years in software engineering, machine learning, data science, or related field Experience leading teams that build and operate production ML systems Strong understanding of ML workflows: data pipelines, feature engineering, model training Proven ability to build, mentor, and develop high-performing multidisciplinary teams Excellent communication to explain concepts and data challenges to diverse audiences 🎁 Benefits Fully remote work environment Opportunity to lead impactful ML, fraud prevention, and digital security projects Competitive compensation based on experience and location Opportunity to work with a globally distributed team Strong focus on professional growth and career development Inclusive and collaborative culture valuing diverse perspectives