Worldwide GTM Leader for Managed Knowledge Bases & GenAI

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

Job summary

Amazon Web Services, Inc. seeks a Worldwide GTM Specialist to lead the end-to-end go-to-market for Managed Knowledge Bases.

You will steer market strategy, shape the product roadmap with customer feedback, and collaborate with field teams, partners, and engineering to drive multi-billion dollar outcomes. You will translate complex enterprise AI concepts into practical business value, scale enablement, and build strategies that resonate with C-suite leaders globally.

Qualifications

• 6+ years in Go-To-Market, business development, sales, or consulting.
• 5+ years with data & AI technologies including GenAI, analytics, databases or storage.
• Ability to explain complex tech to business and technical audiences.
• Experience coordinating cross-functional programs and releases.
• Proven track record influencing leadership decisions at org level.

Responsibilities

• Own worldwide GTM strategy for Managed Knowledge Bases including market sizing and segments.
• Build global pipeline with field sales, partners, and account teams; qualify and close major opportunities.
• Be domain authority on enterprise retrieval, RAG, vector stores, connectors, data grounding.
• Define enablement flywheel: sales plays, reference architectures, demos, workshops, field training.
• Represent customer voice to product/engineering; feed data-driven roadmap input.
• Collaborate on partner ecosystem strategy and delivery capacity for the domain.
• Set goals, metrics, and cadence; deliver business reviews to AWS leadership.
• Represent AWS as a thought leader at customer briefings and industry events.

Skills

Go-To-Market

Business Development

Sales

GenAI

Strategy

Cross-functional

Job description

Amazon Web Services, Inc. seeks a Worldwide GTM Specialist to lead the end-to-end go-to-market for Managed Knowledge Bases.

You will steer market strategy, shape the product roadmap with customer feedback, and collaborate with field teams, partners, and engineering to drive multi-billion dollar outcomes. You will translate complex enterprise AI concepts into practical business value, scale enablement, and build strategies that resonate with C-suite leaders globally.