Jobs · Business Development · New York

Bid Intelligence & Automation Lead, Amazon Business - CPS

Amazon · New York, United States · 3 wk ago
Business Development$35/hrFull-time

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
  • Cook up coordination 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 week's outcomes, pull data for the team's 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

Basic Qualifications

  • 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
  • Bachelor's 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

Preferred Qualifications

  • Master's 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

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