Senior Account Executive

This Senior Account Executive role drives expansion revenue (upsell and cross-sell) within a defined portfolio of enterprise customers across EMEA, leading complex, multi-stakeholder sales cycles. The role requires a consultative, value-based selling approach and fluency in English plus one other European language.

This strategic account executive role focuses on selling retail solutions to enterprise clients, managing key accounts, developing long-term relationships, and driving revenue growth through strategic selling.

Drives net-new customer acquisition and expansion among consumer brands selling through Amazon, Walmart, Target, and other major ecommerce retailers. Owns the full enterprise and mid-market sales cycle, including prospecting, discovery, business-case development, and closing. Requires 7+ years of B2B SaaS sales experience and a track record of exceeding quota.

This role focuses on driving enterprise sales for retail media solutions, targeting large retailers and brands. The position involves building and managing a sales pipeline, negotiating contracts, and collaborating with internal teams to deliver impactful retail media offerings.

This role manages customer advertising budgets and optimizes ad performance on Amazon and other e-commerce platforms using CommerceIQ tools. The specialist collaborates with cross-functional teams, performs deep-dive analyses, and adjusts campaigns to meet KPIs, ensuring customer success and retention.

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.