Engineering Manager, Identification Accuracy

📋 Description

• Lead and grow a multidisciplinary Identification Accuracy team across ML engineers, data
• Own the team’s technical roadmap with senior engineering leadership and stakeholders.
• Drive model accuracy by designing, training, evaluating, and deploying ML models at massive scale.
• Oversee production ML systems: data pipelines, feature engineering, model development, evaluation
• Collaborate with platform and API teams to meet requirements, performance, and latency targets.
• Coordinate with Product and customer-facing teams to translate business needs into technical

🎯 Requirements

• 5+ years of professional experience in software engineering, ML, data science, or related field
• Proven experience delivering production ML systems from data pipelines through deployment.
• Track record building high-performing multidisciplinary teams including engineers, data scientists
• Strong technical understanding of ML and data systems; familiarity with MLOps, experiment tracking
• Experience with large-scale behavioral/event data in production settings.
• Hands-on familiarity with data stack/analytics engineering tools such as dbt or similar.

🎁 Benefits

• Competitive compensation; for US-based employees, $159,000–$215,000 USD; compensation varies by
• Fully remote work environment with a globally distributed team.
• Opportunity to lead a multidisciplinary ML/data organization solving high-scale problems.
• Exposure to cutting-edge ML, fraud detection, identity, and data technologies.
• High autonomy and influence over technical strategy, team development, and product outcomes.
• Inclusive environment that values diverse experiences and perspectives.