Sales Ops Lead: Data-Driven Growth & AI Enablement

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 140,000 - 230,000

Full time

2 days ago
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Job summary

Amazon Web Services (AWS) is seeking a Sales Operations Lead in Seattle to drive data-driven decision-making and operational excellence for the AWS Customer and Partner Success organization. This role partners with leadership to translate complex data into actionable insights and shapes the strategic direction of sales initiatives.

You will lead post-launch initiatives, business reviews, forecasting, and data analysis to inform strategic recommendations in a fast-growing environment and will

Qualifications

  • 7+ years of Microsoft Excel experience.
  • Bachelor's degree or equivalent.
  • Experience developing and implementing systems/tools for CRM, revenue reporting, forecasting, Salesforce automation, etc.
  • Experience defining, refining and implementing sales processes, procedures and policies.
  • Experience presenting to senior leadership.

Responsibilities

  • Lead data-driven decision-making and operational excellence for AWS Customer and Partner Success.
  • Develop, implement and manage customer and partner success processes, systems and metrics to drive revenue growth and retention.
  • Forecast and analyze post-launch performance data to identify growth opportunities and strategic recommendations.
  • Collaborate with cross-functional teams to optimize AI-driven tools and workflows for sales productivity.

Skills

Excel
CRM tools
Forecasting
Sales analytics
Stakeholder management

Education

Bachelor's degree or equivalent

Tools

Salesforce
BI tools

Job description

Amazon Web Services (AWS) is seeking a Sales Operations Lead in Seattle to drive data-driven decision-making and operational excellence for the AWS Customer and Partner Success organization. This role partners with leadership to translate complex data into actionable insights and shapes the strategic direction of sales initiatives.

You will lead post-launch initiatives, business reviews, forecasting, and data analysis to inform strategic recommendations in a fast-growing environment and will

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