Global GTM Leader for FSx Lustre & AI Storage

Amazon Inc.

Boston (MA)

On-site

USD 260,000 - 360,000

Full time

14 days+

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Job summary

Amazon Web Services (AWS) is seeking a Principal Go-To-Market Specialist for FSx for Lustre to shape the worldwide GTM strategy and run programs that accelerate adoption among frontier model builders, AI-native startups, and enterprise AI teams.

You will partner across AWS to align on shared GTM motions, translate performance needs into product feedback, and lead cross‑functional teams to deliver compelling value propositions for high‑performance storage in training, fine-tuning, and inference

Responsibilities

  • Set the WW GTM strategy for FSx for Lustre and oversee execution of programs to grow adoption.
  • Drive GenAI and HPC workload adoption across model training, fine-tuning, inference and HPC workloads.
  • Engage with leading AI labs, model providers and enterprises to capture needs and feedback.
  • Partner with AWS teams to align on joint GTM motions and identify workloads that drive FSx for Lustre growth.
  • Map technology to business outcomes, showing how high‑performance storage speeds training and lowers total cost.
  • Build enablement and evangelize the platform.
  • Create sales enablement tools, reference architectures, and customer content.
  • Represent FSx for Lustre with customers, partners, analysts at events and as the Executive Briefing Center voice.
  • Build a partner ecosystem with ISVs and system integrators to scale adoption.
  • Advise with data: analyze pipeline, consumption and win/loss to shape high‑impact programs.
  • Lead virtual cross‑functional teams across sales, solutions architecture, product, and marketing to drive adoption.

Job description

Amazon Web Services (AWS) is seeking a Principal Go-To-Market Specialist for FSx for Lustre to shape the worldwide GTM strategy and run programs that accelerate adoption among frontier model builders, AI-native startups, and enterprise AI teams.

You will partner across AWS to align on shared GTM motions, translate performance needs into product feedback, and lead cross‑functional teams to deliver compelling value propositions for high‑performance storage in training, fine-tuning, and inference

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