GenAI GTM Architect for AI/ML Solutions

Amazon Web Services (AWS); San Francisco (CA); On-site; USD 102,000 - 178,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a leadership-focused professional to define the future GTM for Generative AI on AWS. You will work with product owners, ISVs, and model providers to build and deploy GenAI end applications across industries.

You will lead market sizing, pipeline development, and proof-of-concept in collaboration with sales, marketing and engineering teams to accelerate GenAI adoption on AWS.

Qualifications

• 3+ years of business development, partnership management, or sourcing new business experience
• 3+ years of working with Core Cloud Technology Services, including Compute, Edge, Hybrid, Security, and Networking
• 3+ years of Go-To-Market, Business Development, Sales, or Consulting experience
• 3+ years of working with Data & AI related technologies, including AI/ML, GenAI, Analytics, Database, and/or Storage
• Bachelor's degree or equivalent
• Experience using data and metrics to determine and drive improvements
• Experience within advertising technology related sales

Responsibilities

• Develop industry-leading cloud-based GenAI GTM solutions to grow the GenAI business.
• Work closely with product, field teams and partners like ISVs to enable new capabilities.
• Understand technical requirements for POCs, and train the field on GenAI workloads.
• Drive model implementations and develop new GenAI solutions with account and product teams.

Skills

Business development

Go-To-Market

Data & AI technologies

Sales/ Consulting

Education

Bachelor's degree or equivalent

Job description

Amazon Web Services, Inc. is seeking a leadership-focused professional to define the future GTM for Generative AI on AWS. You will work with product owners, ISVs, and model providers to build and deploy GenAI end applications across industries.

You will lead market sizing, pipeline development, and proof-of-concept in collaboration with sales, marketing and engineering teams to accelerate GenAI adoption on AWS.