Product Manager (Policy Protect) - Riskified
- חברה: Riskified
- מיקום: Tel Aviv-Yafo, Gush Dan, Israel
תיאור המשרה
4+ Years of Product Management Experience: Demonstrated experience in product management, focusing on technical and data-driven products.
Technical and Data Science Knowledge: Proficiency in understanding and working with machine learning models, preferably with experience in fraud detection or e-commerce analytics.
Analytical Skills: Strong ability to interpret and leverage data to drive product decisions, ensuring alignment with business goals and customer needs.
Communication Skills: Fluent in spoken and written English, with strong interpersonal and communication skills.
Experience with eCommerce, FinTech, Online Payments, Fraud - an advantage
Fast learner with strong interpersonal and communication skills; you must have excellent English verbal and written communication skills
Experience with large-scale, cloud-based solutions
BA/BS degree or equivalent experience
תחומי אחריות
As the Product Manager for our Policy Protect solution, you will play a major role in Riskified’s mission to detect and prevent eCommerce policy abuse. Policy Protect uses advanced machine learning to show merchants in real-time which orders, claims, and customers are trustworthy and profitable, and which ones aren’t.
In this role, you’ll collaborate closely with engineering and data science teams to build new machine learning models and maintain high accuracy of the existing models.
You’ll focus on advancing the analytical capabilities of our product, ensuring the robustness and scalability of the analysis flow. By aligning strategic direction with Riskified’s goals and working on strategic opportunities, you’ll ensure that the analytical performance of Policy Protect is top-notch. You’ll balance technical constraints with business needs in the product roadmap, contributing to continuous improvement and growth.
דרישות
4+ Years of Product Management Experience: Demonstrated experience in product management, focusing on technical and data-driven products.
Technical and Data Science Knowledge: Proficiency in understanding and working with machine learning models, preferably with experience in fraud detection or e-commerce analytics.
Analytical Skills: Strong ability to interpret and leverage data to drive product decisions, ensuring alignment with business goals and customer needs.
Communication Skills: Fluent in spoken and written English, with strong interpersonal and communication skills.
Experience with eCommerce, FinTech, Online Payments, Fraud - an advantage
Fast learner with strong interpersonal and communication skills; you must have excellent English verbal and written communication skills
Experience with large-scale, cloud-based solutions
BA/BS degree or equivalent experience