Customer Success Specialist

This Manager, Programmatic Commerce role in New York leads programmatic activations across retailer media networks and DSPs like Amazon, CitrusAd, Criteo, The Trade Desk, and Walmart. The role involves managing a team, executing campaign setup and optimization, and using retail bid management technologies like Pacvue and Skai. Responsibilities include maintaining client relationships, ensuring campaign compliance, and preparing performance reports to maximize retail media investment.

This Customer Success Manager manages a portfolio of advertiser accounts, ensuring client satisfaction, driving product adoption, and identifying upsell opportunities. The role requires strong relationship management and deep understanding of performance marketing to grow accounts.

This Manager, Ad Operations role ensures Ad Operation best practices and frameworks are adhered to, with a focus on naming conventions, campaign trafficking, taxonomy, ad verification, and QA. The role involves building relationships with media partners, troubleshooting technology, and collaborating with internal teams to deliver accurate and timely campaign information. The manager will leverage technology to deliver efficiencies and support the wider measurement of digital advertising campaigns.

This role involves managing ad operations, including campaign setup, trafficking, and optimization across programmatic platforms. The specialist will ensure accurate delivery and performance, collaborating with internal teams and clients to resolve issues.

This role leads the design and development of a scalable crawl platform that unifies data across all CommerceIQ product lines. The engineer will own system architecture, drive technical strategy, mentor engineers, and tackle distributed systems challenges, with a focus on reliability, observability, and developer experience. Requires 8+ years of software engineering experience, including 3+ years leading teams, and expertise in distributed systems, with AWS, Spark, and Kubernetes as pluses.

This Machine Learning Engineer III role is responsible for building and scaling ML pipelines and platforms for CommerceIQ's B2B SaaS products. The engineer will deploy ML models in production, including LLMs on GPUs, and own the ML infrastructure roadmap. Key responsibilities include developing end-to-end pipelines, implementing scaling best practices, and managing model performance monitoring.

This DevOps Engineer II role focuses on managing Databricks infrastructure and production workloads, including cluster management, cost optimization, and governance. The engineer also handles AWS infrastructure, Kubernetes/EKS clusters, database administration, and CI/CD pipelines, ensuring reliability and performance at scale.