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Support SME merchant integrations and activations by monitoring integration health, identifying configuration issues, troubleshooting REST API and webhook problems, updating settings, maintaining issue logs, and communicating with merchants and internal teams. The role also maintains integration documentation, tracks recurring issues, and escalates complex technical cases while developing expertise in payment integration processes and tools.

Lead the design, development, and modernization of high-volume payment systems using AI-enabled software practices. Build production LLM features involving embeddings, context engineering, and RAG; own relational, NoSQL, and vector data layers; and manage architecture, testing, security, monitoring, CI/CD, and cloud deployment. Mentor engineers, establish responsible AI standards, resolve complex production issues, and lead migration of live systems while maintaining reliability and performance.

Build and maintain digital payment software while contributing to AI-enabled replatforming and LLM-integrated features. Write clean, tested code; investigate bugs; participate in code reviews; use Git, CI/CD, containers, and cloud environments; and follow responsible AI and data-security practices. Collaborate in an Agile team, document solutions, and learn from senior engineers through pairing and feedback.

Develop, maintain, and enhance scalable digital payment software. Responsibilities include writing clean code, troubleshooting technical issues, contributing to system architecture, participating in code reviews and Agile ceremonies, documenting processes, and mentoring junior developers. The role requires expertise in .NET and web development, relational and NoSQL databases, testing, cloud services, DevOps, and containerization.

Build, integrate, test, and monitor AI agents that automate workflows across operations, support, fraud, risk, and engineering. Responsibilities include agent orchestration, tool calling, RAG, prompt design, API and data-source integration, evaluation testing, production monitoring, documentation, safety controls, and compliance with personal and financial data requirements. The role also involves identifying automation opportunities, supporting user adoption, and responsibly applying emerging agent frameworks and AI development tools.

Develop and write research-driven content across long-form, web, social, case studies, white papers, and collateral. Translate strategic briefs into multi-channel content, create production briefs, manage studio and partner delivery, and own social publishing, community management, and performance reporting. Use funnel and revenue data to refine content, maintain marketing processes and brand guidance, and apply AI and automation thoughtfully to improve production and reporting.

Own content strategy and contribute to broader marketing strategy while managing marketing operations, workflow, agencies, campaigns, events, and performance reporting. The role leads direct reports, oversees external partners, supports go-to-market initiatives, manages integrated and out-of-home campaigns, improves departmental processes, and explores AI and automation to increase content and production efficiency.

Leads Ozow’s fraud function by managing the Fraud Operations team, developing prevention and detection strategies, tuning rules, overseeing investigations, reducing losses, and monitoring fraud performance. Partners with Risk, Compliance, Legal, Product, Engineering, Data, merchants, and banking partners. Owns fraud controls, vendors, reporting, regulatory adherence, SAR processes, governance, tooling adoption, and AI-enabled workflow improvements.

As a Senior Data Engineer, you'll design and maintain data architectures, build robust data pipelines, ensure data quality, and support analytics initiatives, while mentoring junior engineers and collaborating with cross-functional teams.