Revelator Ltd.

• Lead and maintain best practices for development and production infrastructure • Ensure scalability, reliability, and security of our platform and products • Create robust automation • Contribute to data visibility and monitoring • Implement AI and LLM governance • Develop company-wide policies • Drive new technologies and POC implementations

• Proactively Identify AI Opportunities • Innovate with AI Solutions • Maximize Data Potential • Scalable AI/ML Infrastructure • MLOps & AI Automation • Cross-functional collaboration • Stay Ahead of AI Trends

• Own the end-to-end pipeline, from catalog ingestion and metadata compliance to DSP connectivity and incident resolution. • Lead the Distribution Operations team, serving as company's subject matter expert on DDEX standards. • Partner with Product and Engineering to drive platform improvements. • Act as primary escalation point for distribution issues, coordinating cross-functional resolution between internal teams and DSP partners. • Oversee the 'Concierge' service to ensure high-priority releases are monitored and protected. • Manage Revelator's technical partnerships with DSPs, ensuring stable integrations and smooth onboarding of new connections. • Develop and maintain reporting infrastructure to provide leadership with actionable data and drive continuous operational improvement.

• Lead, mentor, and scale multiple engineering teams through team leads and managers • Define and execute the engineering strategy in alignment with company objectives • Oversee system architecture, ensuring scalability, reliability, and performance • Drive delivery excellence, improving development processes, velocity, and quality • Collaborate cross-functionally with product, data, and business stakeholders • Establish and monitor KPIs for engineering performance (e.g., velocity, quality, uptime) • Manage hiring, onboarding, and professional development of engineers • Ensure best practices in CI/CD, testing, security, and DevOps • Own technical decision-making and risk management across projects

• Design and deliver structured training programs for new customers during onboarding. • Build scalable training formats including live training sessions, recorded/Self-serve learning modules, and training playbooks. • Customize training based on customer segment, product usage, business model, and user roles. • Partner with Customer Success, Onboarding, Support, and Product teams to ensure training supports customer milestones. • Provide retraining when customers expand teams, adopt new features, or require support. • Design onboarding training programs for new employees across various teams. • Maintain internal training documentation and create onboarding materials. • Build and maintain a structured certification program for both internal teams and customers. • Track certification completion and manage renewal cycles. • Identify knowledge gaps based on support tickets and feedback.