<h2><strong>About Us</strong></h2> <p>Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights.</p> <p>Riskified is proud to work with incredible companies in virtually all industries including Booking.com, Acer, Gucci, Lorna Jane, GoPro, and <a href="https://www.riskified.com/customers/">many more</a>.</p> <p>We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. </p> <p> </p> <h2><strong>About the Role</strong></h2> <p> </p> <p>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.</p> <p>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.</p> <p>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.</p> <p> </p> <h2><strong>What You'll Be Doing</strong></h2> <p> </p> <ul> <li><strong>Collaborate with data science teams</strong> to build new and maintain high accuracy of the existing machine learning models for detecting refunds and returns abuse. Define and monitor KPIs to measure model performance and product effectiveness.</li> <li><strong>Ensure the robustness and scalability of the analysis flow</strong> by working closely with engineering teams to identify and address any gaps that could compromise analysis quality. Oversee the implementation of solutions that enhance the reliability of our analytical processes.</li> <li><strong>Push new sales opportunities forward</strong> by meeting with prospects, merchants, and potential partners. Understand their challenges, coordinate actions internally and evolve the product to solve pressing merchant needs.</li> <li><strong>Drive product development</strong> by prioritizing and managing the product backlog, ensuring we solve critical challenges related to policy abuse and deliver value to our merchants.</li> </ul> <p> </p> <h2><strong>Qualifications</strong></h2> <p> </p> <ul> <li><strong>4+ Years of Product Management Experience:</strong> Demonstrated experience in product management, focusing on technical and data-driven products.</li> <li><strong>Technical and Data Science Knowledge:</strong> Proficiency in understanding and working with machine learning models, preferably with experience in fraud detection or e-commerce analytics.</li> <li><strong>Analytical Skills:</strong> Strong ability to interpret and leverage data to drive product decisions, ensuring alignment with business goals and customer needs.</li> <li><strong>Communication Skills:</strong> Fluent in spoken and written English, with strong interpersonal and communication skills.</li> <li>Experience with eCommerce, FinTech, Online Payments, Fraud - an advantage</li> <li>Fast learner with strong interpersonal and communication skills; you must have excellent English verbal and written communication skills</li> <li>Experience with large-scale, cloud-based solutions</li> <li>BA/BS degree or equivalent experience</li> </ul> <p> </p> <h2><strong>Life at Riskified</strong></h2> <p><span style="font-weight: 400;">We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us.</span></p> <p><span style="font-weight: 400;">Our Tel-Aviv team is currently working in a hybrid of remote and in-office work. </span><span style="font-weight: 400;">We have recently moved to our new space in Tel Aviv - check it out </span><a href="https://youtu.be/UZWmHG0ouEE"><span style="font-weight: 400;">here</span></a><span style="font-weight: 400;">! </span></p> <p><span style="text-decoration: underline;"><span style="font-weight: 400;">Some of our Tel Aviv Benefits & Perks:</span></span></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Equity for all employees, </span><span style="font-weight: 400;">Keren Hishtalmut, pension </span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Private medical insurance, e</span><span style="font-weight: 400;">xtra time off for parents and caregivers</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Commuter and parking benefits</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Team events, fully-stocked kitchen,lunch stipend, happy hours, y</span><span style="font-weight: 400;">oga, pilates, functional training, basketball, soccer</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Wide-ranging opportunities to volunteer and make an impact</span></li> <l