לוח משרות דרושים, לחיפוש זה נמצאו 34,724 משרות

we are looking for a Software Engineering Manager.
As an engineering manager at Riskified, you will lead a talented group of experienced engineers in creating a mission-critical suite of services in the payment fraud domain. The team is working to enable new Riskified product offerings, working closely with Product managers, Research and Analytics teams to validate this new offering and drive a new business forward.
The team is currently focused on Adaptive Checkout, Riskified's premier product suite that operates at the E-commerce payments level to optimize the shopping checkout flow. Your goal will be to increase conversion, reduce false declines, and enhance transaction authorization rates while using adaptive features and capabilities. We are looking for a team leader with a passion for service-oriented and microservice architectures, high performance, reliability, and clean design. You should be an AI enthusiast - someone who is not afraid to embrace and integrate new tools, whether its within the product itself, throughout the development lifecycle, or to optimize management processes. You must be able to focus, support, and drive a team while consolidating requirements from all stakeholders, displaying a high interest in our business and a proactive approach to constant improvement.
Our Tech Stack: Kubernetes, Scala, Node.js, Ruby on Rails, Kafka, Avro, gRPC, AWS, Cockroach DB, Aerospike, Claude code.

we are looking for a Payment Fraud Product Manager.
As the Product Manager for Riskified's Payment Fraud domain, you'll help merchants maximize revenue by approving more legitimate transactions while keeping fraudulent ones out - all without compromising the customer experience. Payment Fraud is Riskified's flagship product, delivering real-time fraud decisions across the full transaction lifecycle and driving measurable impact for merchants across industries.
This is a high-impact role at the intersection of risk, machine learning, and merchant experience. You'll work closely with engineering, data science, analysts, and fellow PMs to build innovative capabilities that detect evolving fraud patterns, optimize approval rates, and surface actionable risk intelligence.
At the core of this role is driving Riskified's market expansion by leading new ventures within the Payment Fraud domain. You will partner closely with Sales to pursue new opportunities, map target industries and geographies, and identify critical gaps between Riskified's current capabilities and prospect needs. By developing a deep understanding of vertical-specific fraud patterns, you will shape and validate solutions that ensure successful entry into new markets through direct engagement with potential merchants and pilot partners.

we are looking for a Product Manager (Policy Protect).
As the Product Manager for our Policy Protect solution, you will play a major role in 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 arent.
In this role, youll collaborate closely with engineering and data science teams to build new machine learning models and maintain high accuracy of the existing models.
Youll focus on advancing the analytical capabilities of our product, ensuring the robustness and scalability of the analysis flow. By aligning strategic direction with goals and working on strategic opportunities, youll ensure that the analytical performance of Policy Protect is top-notch. Youll balance technical constraints with business needs in the product roadmap, contributing to continuous improvement and growth.

we are looking for a Data Science Team Lead.
The Data Science department plays a pivotal role in our company, generating value by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to extract maximum value from data of all shapes and sizes, including classification models, NLP, anomaly detection, graph theory, deep learning, and more.
Our models and algorithms are integrated into the critical path of product, helping to make thousands of decisions per second in real-time. All the capabilities we develop must meet production-grade requirements in both analytical and engineering standards.
As the Team Lead of a Data Science team, you will manage critical analytical initiatives for our suite of products, shaping the team's direction and focus. You will collaborate closely with Product Managers to influence the future of our product offerings and ensure alignment with company goals. You will need a holistic view of challenges and a keen understanding of the underlying goals of the department and company. In this role, you will lead the team, oversee their professional development, build effective collaborations with other departments, and bring measurable value to product through your team's efforts.