Global GenAI GTM Strategist

Amazon Web Services (AWS); Houston (TX); On-site; USD 148,000 - 200,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a GTM leader to shape the go-to-market strategy for Amazon Bedrock and Bedrock AgentCore across industries.

You will collaborate with product managers to influence direction, build scalable adoption programs, and partner with customers to unlock new markets using Bedrock and related AWS GenAI services. The role requires deep knowledge of Generative AI, ML use cases, and the ability to communicate benefits to data scientists and executives.

Qualifications

• 5+ years of developing, negotiating and executing business agreements experience.
• Experience selling cloud solutions at a software company or equivalent.
• Experience conveying complex technical concepts to both technical and business audiences.
• 8+ years experience in Go-To-Market, Business Development, Sales, or Consulting.
• 5+ years of AI/ML experience.
• Experience in implementing GenAI at an enterprise company.

Responsibilities

• Define the go-to-market (GTM) strategy for Amazon Bedrock and Bedrock AgentCore; lead cross-functional initiatives to expand existing markets, build scalable adoption programs, and identify new opportunities.
• Drive the GTM plan for scaling adoption of Amazon Bedrock; interact with customers to understand business problems and work with model providers to implement scalable GenAI solutions.

Skills

GTM leadership

AI/ML experience

Complex concept communication

Stakeholder influence

Data interpretation

Cross-functional programs

Negotiation

Sales experience

Job description

Amazon Web Services, Inc. is seeking a GTM leader to shape the go-to-market strategy for Amazon Bedrock and Bedrock AgentCore across industries.

You will collaborate with product managers to influence direction, build scalable adoption programs, and partner with customers to unlock new markets using Bedrock and related AWS GenAI services. The role requires deep knowledge of Generative AI, ML use cases, and the ability to communicate benefits to data scientists and executives.