About The Position

AWS is seeking a Sales Operations Lead, to drive data-driven decision-making and operational excellence for the Global Consulting Partner organization, focused on our Global Strategic Partners (GSP). This role is crucial in leading and scaling mission-critical frameworks, including goal setting, key initiatives, business reviews, and data analysis, to inform strategic recommendations in a rapidly growing, complex environment. Working closely with GSP leadership, the Sales Operations Lead develops, implements, and manages sales processes, systems, and metrics to help Partner Development Managers and those involved in the sales process increase revenue growth and customer acquisition. Analyzes sales performance data to identify growth opportunities and process improvements. Partners with stakeholders to drive day-to-day operational excellence through sales process management, performance analysis, technology support, business reviews, operational planning, and communicating actionable insights, both verbally and in writing, while fostering strong stakeholder relationships. As the AI-powered sales landscape continues to evolve, this role will be instrumental in leveraging the latest artificial intelligence and machine learning technologies to enhance sales processes and decision-making. The Sales Operations Lead will work closely with GSP leadership and cross-functional teams to responsibly implement and optimize AI-driven tools and workflows that augment the sales organization's productivity and effectiveness.

Requirements

  • 7+ years of sales operations or equivalent experience
  • Experience defining, refining and implementing sales processes, procedures and policies or equivalent
  • Experience conducting sophisticated and creative analysis of complex data and translate the results into actionable deliverables, messages, and presentations
  • Experience presenting to senior leadership
  • Experience working within a high-growth, technology company
  • Bachelor's degree or equivalent, or experience using data and analytics to drive sales strategy and results
  • Experience using data and analytics to drive sales strategy and results
  • Understanding of AI capabilities and limitations in sales contexts
  • Experience in prompt engineering and working with large language models

Responsibilities

  • Documents and implements standardized sales processes and metrics, including KPI definitions and goal cascades, to support operational effectiveness.
  • Develops and manages pipeline qualification, attribution, to ensure proper distribution, and resolves attribution escalations to ensure accurate financial reporting.
  • Orchestrates AI-human collaboration in the sales process, and manages and optimizes AI sales intelligence tools and automated customer/partner interaction systems
  • Maintains sales tools data quality to ensure accurate reporting and forecasting
  • Implements sales workflows and automation to streamline process and improve seller efficiency
  • Conducts sales performance analysis on win/loss data, conversion rates, goal attainment, and/or forecast accuracy to identify potential risks.
  • Prepares and drives regular business reviews with insights on pipeline health, performance trends, and operational efficiency.
  • Acts as primary point of contact to resolve stakeholders’ requests and execute daily operational processes.
  • Leads sales tools training and adoption initiatives to improve utilization and productivity.
  • Leads cross-functional projects to improve sales efficiency and processes.
  • Drives escalations, gap-to-green, and/or other issues to resolution.

Benefits

  • health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
  • 401(k) matching
  • paid time off
  • parental leave

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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