Sr. Worldwide Partner Specialist, GenAI - Bedrock, Data & AI GTM

About the role

The role is part of the Worldwide Data & AI GTM team and involves developing and executing go-to-market strategies for Amazon Bedrock, AWS's fully managed service for building and scaling generative AI applications using foundation models.

Responsibilities

• Lead the development and execution of AIML go-to-market strategies for partners
• Collaborate closely with Partner, Customer Success, Marketing, and Product teams to drive comprehensive partnership initiatives
• Create scalable programs and deliver insightful business reviews to unblock partner challenges and drive growth
• Develop operational planning documents and serve as an AIML subject matter expert supporting broader internal teams

Requirements

Key requirements include 6+ years of developing, negotiating, and executing business agreements experience, 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience, and familiarity with AWS Partner Network (APN) programs, competency frameworks, or marketplace listings.

Qualifications

• Experience managing programs across cross-functional teams, building processes, and coordinating release schedules
• Familiarity with AWS AI/ML services, particularly Amazon Bedrock, SageMaker, and related infrastructure
• Understanding of LLM-based application architectures including agent runtimes, guardrails, and identity/access patterns

Skills

The ideal candidate should have experience creating, communicating, and driving successful partnership strategies at scale, ideally with a background in sales or business development within the AI/ML or cloud infrastructure space. They should also possess a demonstrated ability to think strategically about business, product, and technical challenges, particularly around emerging generative AI patterns, and leverage data to uncover opportunities for Bedrock adoption and partner-led revenue growth.

Benefits

Details about benefits are provided in the job description, including health insurance, retirement plans, paid time off, and parental leave.

Pay

Final compensation will be determined based on factors including experience, qualifications, and location. The base salary range for this position is listed below.

Schedule

Details about the schedule are provided in the job description.