Senior Business Development Executive, Identity & Fraud Sales

Als Sales Development Representative generierst du Leads und qualifizierst Prospects für fraud0s Ad-Fraud-Erkennungsplattform. Zu deinen Aufgaben gehören Outbound-Prospecting, Cold Outreach und die Zusammenarbeit mit dem Vertriebsteam, um das Pipeline-Wachstum zu fördern.

This role focuses on landing new enterprise accounts in the retail e-commerce space, selling CommerceIQ's AI-driven ecommerce optimization platform to large CPG companies. The Account Executive will employ value-based selling, build business cases, and drive up-sells/cross-sells, targeting C-level executives and Head of Ecommerce/Marketing leaders. Requires 6+ years of enterprise B2B SaaS sales experience with a track record of closing $250K+ deals.

This role manages search and programmatic media activations across retail media networks like Amazon, Walmart, and Criteo, optimizing client accounts to meet KPIs. Responsibilities include campaign setup, bid recommendations, budgeting, and performance reporting, with experience in retail bid management tools such as Pacvue, Skai, and Epsilo required.

This role is an elite enterprise hunter responsible for all net new sales into FTSE 100 and global enterprise accounts. The Strategic Account Manager will lead complex, multi-stakeholder sales cycles engaging CISOs and C-suite executives, supported by a dedicated SDR, channel organization, and marketing function.

This senior consultant role focuses on designing and implementing AI solutions for clients. The role involves building AI models, integrating them into business processes, and providing strategic guidance on AI adoption.

This consultant role focuses on data science and analytics, applying statistical models and machine learning to solve business problems. The consultant will analyze complex datasets, build predictive models, and present insights to stakeholders.

This role is a senior data engineer responsible for building and maintaining data pipelines. The engineer will design ETL processes, optimize data storage, and ensure data quality. Requires strong data engineering skills and experience with big data technologies.