Global GenAI GTM Lead for Bedrock & AI Solutions

Amazon Web Services (AWS)

San Francisco (CA)

On-site

USD 194,000 - 262,000

Full time

14 days+
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Web Services, Inc. in San Francisco is seeking a go-to-market leader to shape and deploy GTM for Amazon Bedrock, collaborating with product managers to drive customer adoption across industries.

You will develop joint-GTM plans with model providers and create demos and POCs using Bedrock to accelerate adoption. You will work with global teams to size opportunities, train field teams, and articulate GenAI value to data scientists and C-levels, while partnering with solutions architects to

Qualifications

  • 7+ years in Go-To-Market, BD, Sales, or Consulting.
  • 5+ years working with Data & AI technologies.
  • 3+ years selling enterprise software, networking, cloud or related services.
  • Ability to convey complex concepts to technical and business audiences.
  • Experience communicating with executive stakeholders.

Responsibilities

  • Define GTM strategy for Amazon Bedrock and lead cross‑functional initiatives to expand markets.
  • Develop scalable programs to drive adoption and identify new opportunities.
  • Build opportunity pipelines and train field teams.
  • Identify partners and work with model providers and solutions architects to scale GenAI solutions.
  • Collaborate with account and product teams to unblock and drive production implementations.

Skills

Go-to-Market
Business Development
Sales
Consulting
Data & AI

Tools

AI/ML platforms
Analytics tools

Job description

Amazon Web Services, Inc. in San Francisco is seeking a go-to-market leader to shape and deploy GTM for Amazon Bedrock, collaborating with product managers to drive customer adoption across industries.

You will develop joint-GTM plans with model providers and create demos and POCs using Bedrock to accelerate adoption. You will work with global teams to size opportunities, train field teams, and articulate GenAI value to data scientists and C-levels, while partnering with solutions architects to

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