Engineering Manager, Identification Accuracy

📋 Description

• Lead a multidisciplinary Identification Accuracy team across ML engineers, data scientists, analysts
• Own the team roadmap with emphasis on model quality and latency
• Drive production ML systems: pipelines, feature engineering, training, deployment
• Collaborate with platform, API, product, and customer teams
• Communicate performance, trade-offs, risks, and priorities to stakeholders
• Mentor engineers and build a high-performing org

🎯 Requirements

• 5+ years in software engineering, ML, or related field, incl. 2+ years leading ML/data science teams
• Experience delivering production ML systems end-to-end (pipelines to deployment)
• Proven success building multidisciplinary teams of engineers, data scientists, analysts
• Strong ML and data systems knowledge; familiarity with MLOps tools
• Hands-on with analytics tech like dbt or similar
• Excellent written and verbal communication and ability to translate trade-offs to stakeholders

🎁 Benefits

• Competitive comp; US range $159k-$215k; Poland vary
• Fully remote with distributed team
• Opportunity to lead multidisciplinary ML/data org at scale
• Exposure to cutting-edge ML, fraud detection, identity tech
• High autonomy and influence over strategy and outcomes
• Inclusive environment valuing diverse backgrounds