Product Manager - ML Model Operationalization

November 1

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Sift

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Machine Learning • Software as a Service (SaaS) • Fraud Detection • Predictive Analytics • Big Data

201 - 500

Description

• About the Team: At Sift, the Product Management team owns the vision and oversees the execution of all of Sift’s products, from ideation to product launch. • Role Overview: We are looking for a Product Manager to lead our ML and ML Operationalization efforts. This role focuses on driving fraud risk score accuracy and stability, including our flagship capability, RiskWatch. Advocate for customer and business impact, while influencing and guiding the highly technical ML teams to deliver an easily explained measurable customer value.

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 • Comfortable working with Marketing and Sales teams to launch new product features and drive their adoption

Benefits

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