Engineering Manager, Identification Accuracy

📋 Description

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

🎯 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.
• Track record building multidisciplinary teams of engineers, data scientists, analysts, or analytics
• Strong technical understanding of ML and data systems; familiarity with MLOps tooling (experiment
• Experience with large-scale behavioral/event data in production.
• Hands-on familiarity with data stack analytics engineering tools (e.g., dbt or similar).

🎁 Benefits

• Competitive compensation; US-based ranges may differ by location (e.g., $159,000–$215,000 USD).
• Fully remote work environment with a globally distributed team.
• Opportunity to lead a multidisciplinary ML and data organization at scale.
• Exposure to cutting-edge ML, fraud detection, identity, and data technologies.
• High level of autonomy and influence over technical strategy and product outcomes.
• Inclusive environment valuing diverse experiences and backgrounds.