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 stakeholders, improving
• Drive measurable model accuracy by enabling design, training, evaluation, and deployment of ML
• Oversee production ML systems: data pipelines, feature engineering, model development, evaluation
• Collaborate with platform/API teams to understand 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, including at least 2 years
• Proven experience delivering production ML systems from data pipelines to deployment.
• Track record building high-performing multidisciplinary teams (engineers, data scientists
• Strong technical understanding of ML and data systems; familiarity with MLOps, experiment tracking
• Experience with large-scale behavioral/event data in production.
• Hands-on familiarity with data stack/analytics engineering tech such as dbt or similar tools.

🎁 Benefits

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