Engineering Manager, Identification Accuracy

📋 Description

• Lead and grow a multidisciplinary Identification Accuracy team spanning ML engineers, data
• Own the team’s technical roadmap with stakeholders to improve model quality and address
• Drive measurable model accuracy by enabling design, training, evaluation, and deployment of ML
• Oversee production ML systems across data pipelines, feature engineering, model development
• Collaborate with platform and API teams to understand requirements, performance, and latency
• Translate customer needs and business priorities into technical initiatives and product

🎯 Requirements

• 5+ years in software engineering, ML, data science, or related field; at least 2 years leading an
• Proven experience delivering production ML systems from data pipelines to deployment.
• Strong track record building high-performing multidisciplinary teams (engineers, data scientists
• Deep technical understanding of ML and data systems; familiarity with MLOps, experiment tracking
• Experience with large-scale behavioral/event data in production; hands-on with data stack and
• Ability to work with platform/API teams to understand dependencies and latency constraints.

🎁 Benefits

• Competitive compensation; US-based range listed as $159,000–$215,000 USD, with localization by
• Fully remote work environment with a globally distributed team.
• Opportunity to lead a multidisciplinary ML and data organization solving challenging problems at
• 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 valuing diverse experiences and backgrounds.