Engineering Manager, Identification Accuracy

📋 Description

• Lead and grow a multidisciplinary Identification Accuracy team spanning ML engineers, data
• Own the team’s technical roadmap in collaboration with senior engineering leadership and
• Drive measurable model accuracy outcomes by enabling the team to design, train, evaluate, and
• Oversee the delivery of production ML systems across data pipelines, feature engineering, model
• Partner closely with platform and API engineering teams to understand downstream requirements
• Collaborate with Product and customer-facing teams to translate customer needs and business

🎯 Requirements

• 5+ years of professional experience in software engineering, machine learning, data science, or a
• Proven experience managing technical teams that deliver production machine learning systems, from
• Demonstrated success building and developing high-performing multidisciplinary teams that include
• Strong technical understanding of machine learning and data systems, with familiarity with MLOps
• Experience working with large-scale behavioral or event data in production environments.
• Hands-on familiarity with data stack and analytics engineering technologies such as dbt or similar

🎁 Benefits

• Competitive compensation package; for US-based employees, the stated cash compensation range is
• Fully remote work environment with a globally distributed team.
• Opportunity to lead a multidisciplinary ML and data organization solving challenging problems at
• Exposure to cutting-edge machine learning, fraud detection, identity, and data technologies.
• High level of autonomy and meaningful influence over technical strategy, team development, and
• Inclusive environment that values diverse experiences, perspectives, and backgrounds.