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, improving model quality and
• Drive measurable model accuracy outcomes by designing, training, evaluating, and deploying ML
• Oversee production ML systems across data pipelines, feature engineering, model development
• Collaborate with platform and API engineering to meet requirements, performance, and latency
• 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.
• Strong track record building multidisciplinary teams of engineers, data scientists, analysts, and
• Deep technical understanding of ML and data systems; familiarity with MLOps, experiment tracking
• Experience with large-scale behavioral/event data; hands-on with data stack/tools like dbt.
• Excellent written and verbal communication; ability to convey trade-offs to technical and

🎁 Benefits

• Competitive compensation; US-based ranges: 159,000–215,000 USD.
• Fully remote 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 autonomy and influence over technical strategy and product outcomes.
• Inclusive environment valuing diverse experiences and backgrounds.