Bid Intelligence & Automation Lead, Amazon Business CPS
Arlington, TX - USA
Job Summary
The Bid Capture team is transforming from reactive manual operations to a data-driven function powered by AI-enabled decisioning. This role builds and maintains the technical infrastructure that makes that transformation possible connecting existing systems and pipeline intelligence into a single operating layer that all Amazon Business Government and Enterprise sector teams use.
Youll build the tools models and integrations that help the Bid Capture team decide which deals to pursue win them faster and learn from every outcome. No polished tech stack to inherit youll navigate ambiguity evaluate options creatively and build what doesnt exist yet.
Key job responsibilities
- Build core decision-support tools: probability scoring models sector-specific bid/no-bid frameworks
- Design and manage deal infrastructure: pipeline stages capacity tracking deal cycle instrumentation
- Build BI dashboards: WBR metrics pipeline health deal velocity loss pattern visualization
- Integrate disconnected systems creatively APIs EDI bots/RPA middleware or novel approaches
- Support a deal similarity engine: tag wins/losses with patterns build recommendation logic for capture strategy
- Coordinate with partner tech teams to connect Bid Capture workflows to their roadmaps
- Evaluate and pilot AI tools for proposal acceleration and capture intelligence
A day in the life
Check pipeline alerts validate scoring model accuracy against last weeks outcomes pull data for the teams weekly operating review.
Build an automated qualification bot that screens new opportunities and routes them; troubleshoot an integration where an upstream system changed format; prototype a deal similarity feature that surfaces past wins matching a new RFP.
Calibrate a sector scoring model with a team lead pilot a new AI tool against real deals push a dashboard update live.
Prep pipeline digest new opportunities expiration signals re-engagement candidates.
- 5 years of developing negotiating and executing business agreements experience
- 5 years of working with Data & AI related technologies including but not limited to AI/ML (Artificial Intelligence/Machine Learning) GenAI (Generative AI) Analytics Database and/or Storage experience
- Bachelors degree
- Experience managing programs across cross functional teams building processes and coordinating release schedules
- Experience explaining complex technical concepts to various business and technical audiences
- Masters degree in business data science public administration finance engineering human resources or related field or PMP certificate
- Experience interpreting data and making business recommendations across leadership and cross-functional teams
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at NY New York - 162700.00 - 220200.00 USD annually
USA TX Austin - 147900.00 - 200100.00 USD annually
USA VA Arlington - 147900.00 - 200100.00 USD annually
USA WA Seattle - 147900.00 - 200100.00 USD annually
About Company
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