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