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 measurable model accuracy by designing, training, evaluating, and deploying ML models at
• Oversee production ML systems: data pipelines, feature engineering, model development, evaluation
• Partner with platform and API teams on requirements, performance, and latency constraints.
• Collaborate with Product and customer-facing teams to translate needs into initiatives.

🎯 Requirements

• 5+ years in software engineering, ML, data science, or related field; 2+ years leading ML/data
• Proven experience delivering production ML systems: data pipelines, feature engineering, training
• Track record building multidisciplinary teams with engineers, data scientists, analysts, or
• Strong technical understanding of ML and data systems; familiarity with MLOps tools (experiment
• Experience with large-scale behavioral/event data in production.
• Hands-on familiarity with data stack/analytics Eng tools like dbt or similar.

🎁 Benefits

• Competitive compensation; US-based: $159,000–$215,000 USD; Poland/other locations vary by local
• Fully remote work environment with a globally distributed team.
• Opportunity to lead a multidisciplinary ML/data org solving large-scale problems.
• Exposure to cutting-edge ML, fraud detection, identity, and data tech.
• High autonomy and influence over technical strategy and product outcomes.
• Inclusive environment valuing diverse experiences and backgrounds.