GTM Lead for GenAI Bedrock & AI Solutions

Amazon

Seattle (WA)

On-site

USD 148,000 - 200,000

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 is seeking a Go-To-Market leader for Amazon Bedrock who will define, build, and deploy targeted GTM strategies to accelerate customer adoption across industry verticals and collaborate with product and field teams.

You will shape market sizing, partner with global teams, develop demos and proofs-of-concept, and help customers leverage Bedrock with other AWS services. A strong track record in enterprise sales, AI/ML familiarity, and cross-functional program management are required.

Qualifications

  • 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience.
  • 5+ years of AI/ML experience.
  • Experience developing strategies that influence leadership decisions at the organizational level.
  • Experience managing programs across cross functional teams, building processes and coordinating release schedules.

Responsibilities

  • Define go-to-market (GTM) strategy for Amazon Bedrock and lead cross-functional initiatives to expand existing markets and develop scalable adoption programs.
  • Build market sizing analyses, collaborate with global teams, and train field teams with compelling content.
  • Create demos and proofs-of-concept using Bedrock and AWS services, and influence product direction with customers.
  • Engage with customers and partners to identify opportunities and drive industry thought-leadership.

Skills

GTM strategy
Cross-functional leadership
Executive communication
AI/ML experience

Job description

Amazon is seeking a Go-To-Market leader for Amazon Bedrock who will define, build, and deploy targeted GTM strategies to accelerate customer adoption across industry verticals and collaborate with product and field teams.

You will shape market sizing, partner with global teams, develop demos and proofs-of-concept, and help customers leverage Bedrock with other AWS services. A strong track record in enterprise sales, AI/ML familiarity, and cross-functional program management are required.

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