Remote Product Manager, Machine Learning and Machine Learning Model Operationalization
Sift
πRemote - United States
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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 Siftβs 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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