Technical Program Manager, Legal Financial Tools and Technology, Legal Operations, Outside Counsel Management
Amazon · Seattle, WA · Project/Program/Product Management--Technical
About this role
Amazon is hiring a mid-level Technical Program Manager in the software engineering function based in Seattle, WA. The posting calls out experience with Automation. Compensation is listed at $148,700–$201,200 per year.
- Role
- Technical Program Manager
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Seattle, WA
- Department
- Project/Program/Product Management--Technical
- Posted
- Apr 2, 2026
More roles at Amazon
Job description
from Amazon careersJoin Amazon Legal Operations and Outside Counsel Management (OCM) as a strategic Finance and Budgeting Program Manager driving financial excellence across our external legal spend portfolio. You'll own the complete lifecycle of legal budget management—from annual planning through quarterly forecasting and performance monitoring—while serving as the financial architect for OCM's technology-enabled transformation strategy. This role uniquely combines deep financial expertise with technical program management capabilities, partnering with engineering teams to build AI-enabled, automated workflows that transform manual financial processes into intelligent, self-service systems. Key job responsibilities - Own the annual budget planning process for Amazon's external legal spend, partnering with Finance and legal leadership to develop comprehensive forecasts and financial models supporting strategic decisions about retainer structures, fixed-fee arrangements, and budget allocation - Manage the complete budget lifecycle from annual allocation through quarterly reviews, ensuring legal teams have real-time visibility into their financial position while coordinating budget moves and reallocations across practice areas - Drive AI and automation initiatives that transform manual financial workflows into intelligent, scalable systems—including automated data reconciliation, anomaly detection, and predictive forecasting - Partner with technology and engineering teams to design and implement automated solutions that reduce manual effort and increase accuracy, building self-service dashboards and…