Manage Spend Inventory Health Monitoring, Amazon Business Flywheel Inputs

Amazon is hiring a Manage Spend Inventory Health Monitoring, Amazon Business Flywheel Inputs in San Jose, United States. Level rates it ; you can apply on Amazon.

Level's read on this job

Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
The posting mentions Python, SQL and APIs among its tools and skills.
Level classes it as a mid-level role.
Amazon has 21,000+ other open roles on Level.
Posted within the past week.

AI in this role

Manage customer deal onboarding and inventory health while applying generative AI tools and automation to streamline operational workflows.

pythonsqlapisquicksighttableaupower-bisalesforce

automationprocess-simplificationinventory-managementdata-validationstakeholder-managementreporting

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.

Basic qualifications

- 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

Preferred qualifications

- 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.

How we rate this

Manage Spend Inventory Health Monitoring, Amazon Business Flywheel Inputs at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Manage Spend Inventory Health Monitoring, Amazon Business Flywheel Inputs is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in CR, San Jose.
The job was posted on October 20, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AutomationProcess SimplificationInventory ManagementData ValidationStakeholder ManagementReportingPythonSQL

Questions you could be asked

Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where process simplification was part of your work. What did you do?
Tell me about a project where inventory management was part of your work. What did you do?
Tell me about a project where data validation was part of your work. What did you do?
Tell me about a project where stakeholder management was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Automation, Process Simplification, Inventory Management, Data Validation, and Stakeholder Management. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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