Engineering Manager, Identification Accuracy

📋 Description

• Lead and grow a multidisciplinary Identification Accuracy team spanning ML engineers, data
• Own the team’s technical roadmap with engineering leadership and cross-functional stakeholders.
• Drive model accuracy outcomes by designing, training, evaluating, and deploying ML models at
• Oversee production ML systems: data pipelines, feature engineering, model development, evaluation
• Collaborate with platform and API teams to meet performance and latency constraints.
• 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.
• Track record building and developing high-performing multidisciplinary teams.
• Strong 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/analytics
• Ability to work effectively with platform and API teams; strong communication for technical and

🎁 Benefits

• Competitive compensation; US-based range $159,000–$215,000 USD; Poland/local variations may apply.
• Fully remote work environment with a globally distributed team.
• Opportunity to lead a multidisciplinary ML/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.