Responsibilities

• Design, manage, and optimize sales plays and programs: set goals, establish timelines, develop RACI matrices, manage campaign codes and SFDC service mappings, and continuously track pipeline influence, win rates, and deal velocity to inform iteration
• Own Sales play execution for the Open Data for AI portfolio (Project Avalanche/Iceberg, SageMaker Unified Studio, Context): define plays in Alchemy, create HighSpot pages with value propositions and discovery questions, publish to Sales Velocity Dashboard with complete metadata, push to Autonomous Prospecting, and track performance (Created ARR, win rate, deal velocity, launched ARR) across all AWS geographies
• Develop and deliver internal and external enablement (virtual webinars, in-person roadshows, hands-on workshops, regional customer events via BOOST): analyze revenue and sentiment metrics to prioritize topics, build propensity-based target lists, execute multi-channel promotion, track 30-day (internal) and 6-month (external) pipeline influence via Zoom-to-SFDC matching, and feed the prescriptive scorecard
• Collaborate with Avalanche GTM, SA organizations, and field specialists to position open table formats (Iceberg) as the data foundation for AI, disseminate competitive differentiation and customer proof points for the portfolio to field sellers and the AWS Partner Network
• Report program status and strategic recommendations to senior leadership through Amazon business narratives and MBR documents, including pipeline metrics, scorecard verdicts, and resource allocation guidance
• Design and deploy AI-powered productivity tools (Amazon Quick Desktop skills, Q Apps, Q Agents) to automate operational workflows across the team

Requirements

• 5+ years of Go-To-Market, Business Development, Sales, or Consulting 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 developing strategies that influence leadership decisions at the organizational level
• Experience managing programs across cross functional teams, building processes and coordinating release schedules
• Experience explaining complex technical concepts to various business and technical audiences
• Experience presenting to both technical and non-technical executive audiences

Preferred

• Experience interpreting data and making business recommendations across leadership and cross-functional teams
• Experience using analytical tools for workforce metrics and reporting

Benefits

• 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 https://amazon.jobs/en/benefits .