Remote Product Manager, Machine Learning and Machine Learning Model Operationalization

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Sift

πŸ“Remote - United States

Job highlights

Summary

Join our team at Sift as we seek a Product Manager to lead ML and ML Operationalization efforts, driving fraud risk score accuracy and stability.

Requirements

  • 3-5 years of Product Management experience in the ML and fraud prevention space
  • Strong and proven experience with ML and ML model releasing and serving, including ensuring data quality, and performance monitoring
  • Track record in translating business and user experience metrics onto ML metrics
  • Program management capabilities
  • Proven ability to manage ML model lifecycle and feature extraction
  • Experience collaborating closely with engineers, data scientists, and customers

Responsibilities

  • Own Sift’s Machine Learning Vision: collaborate with Engineering Leaders to increase customer value and simplification of our ML
  • Oversee our Machine Learning outcomes: measure and monitor customer KPIs and advise ML research, development, and operations to improve said KPIs
  • Drive Fraud Risk Score Accuracy & Stability: Ensure the accuracy and stability of fraud risk scores, including managing RiskWatch
  • ML Model Release and Servicing: Oversee the release and servicing of ML models, ensuring they meet performance and reliability standards
  • Feature Engineering, Model Development, and Third-Party Data Integration: lead all aspects of enhancing model performance and help advocate and prioritize work that maximize customer impact
  • Customer-Specific Calibration and ML Integration: Work closely with customers to calibrate models to their specific needs and integrate ML solutions into their systems

Benefits

  • Competitive total compensation package
  • 401k plan
  • Medical, dental, and vision coverage
  • Wellness reimbursement
  • Education reimbursement
  • Flexible time off

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