Manage Spend Inventory Health Monitoring
Amazon
Manage Spend Inventory Health Monitoring
Amazon
Sells products online and rents cloud computing
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.
- Speak, write, and read fluently in English
- Knowledge of SQL and Advanced Excel (Array and Statistical formulas)
- 3+ years of interacting with customers/stake holders experience
- Experience back office operations, escalation management and troubleshooting environments
- Experience in managing high priority queues
- Knowledge of basic and systematic approaches to manage projects/programs
- Experience in business analysis
- Experience using data to influence business decisions
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.
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