Manage Spend Inventory Health Monitoring, Amazon Business Flywheel Inputs
Posted Updated
Join the Managed Spend Execution team, where you'll own high-value customer deals onboarding and inventory monitoring and build GenAI-powered automation that's already transforming how Amazon Business runs its operations. If you love solving complex operational puzzles and being the go-to expert customers and stakeholders rely on, this is the role for you.
The Managed Spend Execution team's scope is to enable the Managed Spend product agreed upon during the response phase (e.g., Custom Baskets) during the entire lifecyle of the deal. We are the single point of contact for every MS deal from escalations to troubleshooting and renewal, and we develop programmatic solutions that continuously improve the onboarding customer experience. As one of the primary customers of multiple internal tech products, we work closely with engineering and product teams to shape the roadmap, provide feedback, and automate manual processes wherever possible. Join a team that combines hands-on operational excellence with a builder's mindset, where your ideas for simplification and automation directly shape how Amazon Business scales.
Key job responsibilities
• Own pre-onboarding health checks, post-onboarding inventory monitoring and reporting and health checks at deal renewals.
• Track and interpret health metrics, KPIs, and SLAs to monitor deal health and drive timely resolution.
• Manage escalations via SIM tickets, partnering with multiple teams to resolve provisioning and pricing issues.
• Perform data validation, reconciliation, and quality assurance activities to ensure accuracy across entire deal lifecycle.
• Partner cross-functionally with Sales, Product, and Engineering stakeholders to resolve issues and influence the roadmap for onboarding tools.
• Identify opportunities for process simplification, standardization, and automation, and help build the internal tools that make them real.
• Apply generative AI tools and other automation technologies (e.g., Python, SQL, APIs) to improve productivity and streamline repetitive operational tasks.
• Build and maintain reporting and dashboards using tools such as QuickSight, Tableau, or Power BI to give stakeholders visibility into deal performance.
• Document processes and maintain SOPs to ensure consistency and knowledge continuity across the team.
• Manage multiple priorities and competing deliverables in a fast-paced, deadline-driven environment.
• Leverage CRM/business systems such as Salesforce and cloud-based technologies (AWS) to support day-to-day operations.
The Managed Spend Execution team's scope is to enable the Managed Spend product agreed upon during the response phase (e.g., Custom Baskets) during the entire lifecyle of the deal. We are the single point of contact for every MS deal from escalations to troubleshooting and renewal, and we develop programmatic solutions that continuously improve the onboarding customer experience. As one of the primary customers of multiple internal tech products, we work closely with engineering and product teams to shape the roadmap, provide feedback, and automate manual processes wherever possible. Join a team that combines hands-on operational excellence with a builder's mindset, where your ideas for simplification and automation directly shape how Amazon Business scales.
Key job responsibilities
• Own pre-onboarding health checks, post-onboarding inventory monitoring and reporting and health checks at deal renewals.
• Track and interpret health metrics, KPIs, and SLAs to monitor deal health and drive timely resolution.
• Manage escalations via SIM tickets, partnering with multiple teams to resolve provisioning and pricing issues.
• Perform data validation, reconciliation, and quality assurance activities to ensure accuracy across entire deal lifecycle.
• Partner cross-functionally with Sales, Product, and Engineering stakeholders to resolve issues and influence the roadmap for onboarding tools.
• Identify opportunities for process simplification, standardization, and automation, and help build the internal tools that make them real.
• Apply generative AI tools and other automation technologies (e.g., Python, SQL, APIs) to improve productivity and streamline repetitive operational tasks.
• Build and maintain reporting and dashboards using tools such as QuickSight, Tableau, or Power BI to give stakeholders visibility into deal performance.
• Document processes and maintain SOPs to ensure consistency and knowledge continuity across the team.
• Manage multiple priorities and competing deliverables in a fast-paced, deadline-driven environment.
• Leverage CRM/business systems such as Salesforce and cloud-based technologies (AWS) to support day-to-day operations.