Engineering Manager, Identification Accuracy

📋 Description

• Lead a multidisciplinary ML/engineering team to improve identification accuracy at scale.
• Own team roadmap with engineering leadership and stakeholders.
• Guide production ML systems: data pipelines, feature engineering, training, deployment.
• Foster continuous improvement and data-driven decision making.
• Collaborate with product and customer teams to translate challenges into priorities.
• Communicate model performance and roadmap to technical and business stakeholders.

🎯 Requirements

• Minimum 2 years leading ML/engineering teams in agile environments.
• 5+ years in software/ML/data science or related field.
• Proven track record delivering production ML systems.
• Strong understanding of ML workflows: pipelines, features, training, evaluation, deployment.
• Proven ability to mentor and grow multidisciplinary teams.
• Excellent communication for diverse audiences; ability to handle shifting priorities.

🎁 Benefits

• Fully remote work environment globally.
• Opportunity to lead ML, fraud prevention, and digital security projects.
• Competitive compensation based on experience and location.
• Global, distributed engineering team with growth focus.
• Inclusive culture and career development opportunities.