Engineering Manager, Identification Accuracy

📋 Description

• Lead a multidisciplinary ML/eng team to improve identification accuracy at scale.
• Own the team roadmap with engineering leadership and stakeholders.
• Guide production ML systems: data pipelines, feature engineering, training, deployment.
• Foster continuous improvement, data-driven decisions, and collaboration with product and customers.
• Communicate model performance and roadmap decisions to technical and business audiences.

🎯 Requirements

• 2+ years leading ML/data science/engineering teams in agile environments.
• 5+ years in software engineering, ML, or related field.
• Proven track record building and operating production ML systems.
• Strong understanding of ML workflows: data pipelines, feature eng, training, eval, deployment.
• Experience mentoring teams and communicating complex concepts clearly.
• Ability to collaborate across engineering, product, and business teams.

🎁 Benefits

• Fully remote work environment.
• Opportunity to lead ML, fraud prevention, and digital security projects.
• Competitive compensation based on experience and location.
• Global, distributed team of engineers and data professionals.
• Focus on professional growth and career development.
• Inclusive, collaborative culture valuing diverse perspectives.