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The Vice President of Product Design will lead our product design group, shaping the long-term user experience vision, building world-class teams, and positioning design as a key driver of business growth and competitive advantage. This role owns the end-to-end design experience across all our companys product platforms.
Key deliverables include elevating design as a strategic growth driver, enhancing user satisfaction and engagement, driving adoption through intuitive and innovative design solutions, scaling design systems for consistency and efficiency, mentoring and growing the product design team, optimizing processes, setting UX goals, and championing user needs at the leadership level.
Team Leadership and Development:
Lead and develop a top-performing product design team that is user-focused and strategically driven.
Foster a culture of creativity, innovation collaboration, and continuous learning within the design organization.
Provide mentorship, career growth opportunities, and professional development for leaders and team members.
Grow the leadership skills within the team, empowering designers and managers to take on strategic and managerial roles.
User Experience and Impact:
Drive initiatives to enhance key experience metrics such as usability, adoption, and engagement.
Implement strategies to ensure exceptional product experiences that drive user satisfaction and retention.
Advocate for design-led innovation that improves overall product success.
Craft & Execution:
Lead end-to-end design execution, ensuring excellence in visual design, interaction, and usability
Champion a culture of craft, creativity, and innovation, setting a high bar for design quality across all touchpoints.
Integrate user research and behavioral insights into the design process to inform decision-making and drive user-centered solutions.
Promote design systems and scalable frameworks that enable consistency, efficiency, and innovation at scale.
Strategic Vision and Planning:
Define and implement a long-term design vision and scalable roadmap that align with business goals and user needs.
Lead strategic design initiatives, balancing short-term impact with long-term growth.
Performance Metrics and Analysis:
Establish, monitor, and report on key design performance indicators (KPIs) to evaluate the impact of design on product success.
Use data-driven insights, research, and experimentation to inform design decisions and identify opportunities for improvement.
Cross-Functional and Global Collaboration:
Partner with Product, Engineering, and Marketing to create seamless and innovative user experiences.
Collaborate with leadership across departments to integrate design thinking into company-wide initiatives.
Provide strategic input on product development, feature prioritization, and customer insights to drive better decision-making.

We're in search of an experienced and skilled Senior Data Engineer to join our growing data team. As part of our data team, you'll be at the forefront of crafting a groundbreaking solution that leverages cutting-edge technology to combat fraud. The ideal candidate will have a strong background in designing and implementing large-scale data solutions, with the potential to grow into a leadership role. This position requires a deep understanding of modern data architectures, cloud technologies, and the ability to drive technical initiatives that align with business objectives.

Our ultimate goal is to equip our clients with resilient safeguards against chargebacks, empowering them to safeguard their revenue and optimize their profitability. Join us on this thrilling mission to redefine the battle against fraud.

Your Arena:
Design, develop, and maintain scalable, robust data pipelines and ETL processes.
Architect and implement complex data models across various storage solutions.
Collaborate with R&D teams, data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality solutions.
Ensure data quality, consistency, security, and compliance across all data systems.
Play a key role in defining and implementing data strategies that drive business value.
Contribute to the continuous improvement of our data architecture and processes.
Champion and implement data engineering best practices across the R&D organization, serving as a technical expert and go-to resource for data-related questions and challenges.
Participate in and sometimes lead code reviews to maintain high coding standards.
Troubleshoot and resolve complex data-related issues in production environments.
Evaluate and recommend new technologies and methodologies to improve our data infrastructure.

The position is a rare hybrid role combining data analytics, payments expertise, persuasive storytelling, and AI Agents management.

Youll become a subject-matter expert in payment-disputes and AI+ behavioral decision-making. This will enable you to analyze the full dispute lifecycle, QA and improve AI agent performance, and build compelling evidence defense cases that convince card-issuers to reverse disputes. Over time, youll take on full product ownership - from data ingestion to AI calibration - truly making this one of the most futuristic analyst roles in the industry.

Primary Responsibilities:
Master the Domain: Learn card scheme (e.g. Visa) rules & PSP (e.g. PayPal) workflows.
Analyze & optimize performance across the dispute funnels, identify improvement areas, and increase win rates and recovery rates, as well as create dashboards for monitoring.
Combine data and dispute rules into persuasive evidence that resonate with human decision-makers.
Manage the AI agents structure, logic, prompts and optimize outputs and processes in collaboration with Product & Engineering teams.

Secondary Responsibilities:
Support Proof of Concepts for VIP clients, including select customer-facing work.
Collaborate with the offsite Operations team on manual processes and new data integrations.

In this role, you will be responsible for:
We are seeking a skilled and motivated DevOps Infrastructure Engineer to join our DevOps Infra team, which is responsible for managing and evolving the cloud-native infrastructure that powers our microservices architecture. The team oversees our EKS-based Kubernetes platform, argoCD pipelines, infrastructure observability, Helm-based deployments, and mission-critical web services in AWS.
Role Summary:
This position is a backfill for a key role on the team. The ideal candidate will bring deep Kubernetes expertise, strong experience in observability tooling, and the ability to independently take ownership of infrastructure components in a fast-paced environment.

Were searching for a Senior Technical Product Manager who thrives at the intersection of APIs, enterprise clients, and go-to-market strategy. You will define how our Public API evolve, collaborate closely with enterprise customers and GTM teams, and ensure we deliver innovative technical solutions that solve real-world problems and accelerate adoption.

Your Arena - Know your impact:

As a Senior Technical PM, you will own Public API product and act as the voice of both our customers and our platform.

API Product Ownership: Define and evolve our Public API strategy, ensuring scalability, security, and developer-first usability.
Enterprise Collaboration: Work directly with enterprise customers and prospects throughout the sales lifecycle to deeply understand their problems, shape meaningful solutions, and accelerate adoption.
GTM Alignment: Partner with Sales, Engineering, and Marketing to drive API product positioning, competitive differentiation, and successful enterprise rollouts.
Technical Leadership: Work closely with Engineering to design and deliver robust APIs (REST, GraphQL, webhooks, SDKs), turning complex flows into intuitive experiences.
Innovative Problem Solving: Leverage modern technologies and creative design to address complex challenges and empower our customers.
Discovery & Validation: Engage continuously with enterprise clients, prospects, and partners to validate API needs and prioritize roadmap investments.
Cross-Functional Enablement: Equip Sales and Customer Success with the knowledge and tools they need to champion our Connect.
Market Awareness: Stay ahead of industry standards, competitor APIs, and developer experience best practices.

We are looking for a skilled Full-Stack Engineer with a strong backend orientation to join our R&D team! Were a dynamic group of curious, out-of-the-box thinkers who enjoy tackling complex challenges as much as we love spending time together.

In This Role, You Will:
Deliver scalable backend solutions to support Yotpos vision, ensuring both quality and timeliness.
Lead and participate in the design of complex backend features.
Collaborate closely with developers, Product, Operations, Client Services, and more on architectural and technological topics.

We are looking for Backend Engineer to join our R&D Team. We are a group of fun, curious, out-of-the-box thinkers, who love working together to solve complex problems as much as we love hanging out together. As part of the team, you will:
Delivering scalable features to support our vision in a timely and quality manner.
Lead and participate in significant architectural decisions on various technologies.
Working closely with developers, Product, Designers, Operations, Client Services, and more.
Ensure application performance, uptime, and scale, and maintain high standards for code quality.

We are looking for an AI Research Engineer to join our Applied AI team a highly skilled and collaborative group building end-to-end AI solutions powered by machine learning, LLMs, and cutting-edge architectures.

Youll work closely with product, engineering, and data teams to explore, prototype, and productionize advanced AI capabilities in our UGC product line. From semantic search and summarization to personalized recommendations and chat agents your work will shape the future of commerce in the AI era.

Key Responsibilities:

Own the End-to-End AI Lifecycle: Design, train, evaluate, and deploy ML/LLM-based systems from proof-of-concept to robust production infrastructure.
Prototype to Production: Translate cutting-edge AI research into scalable and maintainable production-ready systems, balancing speed and quality.
Business-Driven Problem Solving: Work closely with stakeholders to understand business needs, formulate clear objectives, and solve real-world problems using data and AI.
Collaborative R&D: Partner with engineers, data scientists, product managers, and researchers to deliver cross-functional AI capabilities.
Promote Engineering Standards: Build reliable, monitored, and testable ML pipelines and APIs, using software engineering best practices and MLOps principles.
Mentorship & Technical Leadership: Share expertise, review designs, mentor teammates, and contribute to our growing knowledge base in AI and LLM systems.
AI Platform Evolution: Help shape how AI is built, adopted, and scaled across us including shared infrastructure, tooling, and best practices.