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Amazon

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Sales Operations, Go to Market (GTM)

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AWS is seeking a Sales Operations Lead, to support data-driven decision-making and operational excellence for the WWSO organization, focused on GenAIML pillars. Working closely with EMEA WWSO leadership, the Sales Operations professional contributes to sales processes, systems, and metrics that help GTM and SSA increase revenue growth and customer acquisition. This role focuses on executing and supporting mission-critical frameworks, including territories and quota, goal setting, business reviews, forecasting, and data analysis in a rapidly growing, complex environment. The Sales Operations professional analyzes sales performance data to identify trends and support process improvements, partnering with stakeholders to maintain operational excellence through sales process execution, performance analysis, technology support, and clear communication of insights. As the AI-powered sales landscape evolves, this role will support the implementation and optimization of AI-driven tools and workflows that enhance sales productivity.

Key job responsibilities
- Implement and maintain standardized sales processes, metrics, and KPI definitions including sales territories, quotas, and goal cascades to support operational effectiveness
- Manage pipeline qualification, attribution, and data quality to ensure accurate financial reporting, forecasting, and timely resolution of escalations
- Support AI-human collaboration in the sales process by managing and optimising AI sales intelligence tools, automated workflows, and customer/partner interaction systems to improve seller efficiency
- Conduct sales performance analysis on win/loss data, conversion rates, goal attainment, and forecast accuracy to identify potential risks and opportunities
- Prepare and drive regular business reviews with insights on pipeline health, performance trends, and operational efficiency
- Drive cross-functional projects, escalations, and gap-to-green initiatives to resolution, while contributing to sales tools training and adoption to improve utilisation and productivity

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