Deal Desk Automation Lead

Amazon Web Services, Inc.; Seattle (WA); On-site; USD 110,000 - 190,000; Full time

Job summary

Amazon Web Services, Inc. seeks a Deal Desk Program Manager in Seattle to run the engine behind partner agreement nominations, approvals, and end-to-end deal execution. You will own post-signature compliance, onboarding, and reporting, while building automation that speeds the entire operation.

In this high-ownership role, you will triage edge cases, coordinate with legal, finance and field teams, and identify system gaps to implement tactical fixes that improve throughput and data integrity.

Responsibilities

• Operate the deal desk at scale: process partner agreement nominations through qualification, approval, execution, and documentation workflows
• Triage nominations that fall outside standard criteria, assess edge cases, and route exceptions to senior leadership or BD leads when strategic judgment is needed
• Own post-signature operations: compliance tracking, partner onboarding, reporting obligations, and agreement lifecycle management
• Build tactical automations across the deal cycle: identify manual bottlenecks and create scripts, workflow enhancements, CPQ improvements, and system integrations that increase throughput
• Maintain data integrity in systems of record and produce operational reporting on deal volume, cycle times, and funnel health
• Coordinate across legal, finance, field teams, and BD leads on deal-level questions, process improvements, and exception resolution
• Surface patterns from deal execution to inform workflow refinement and program iteration

Job description

Amazon Web Services, Inc. seeks a Deal Desk Program Manager in Seattle to run the engine behind partner agreement nominations, approvals, and end-to-end deal execution. You will own post-signature compliance, onboarding, and reporting, while building automation that speeds the entire operation.

In this high-ownership role, you will triage edge cases, coordinate with legal, finance and field teams, and identify system gaps to implement tactical fixes that improve throughput and data integrity.