Global GTM Lead for High-Performance Storage

Amazon Web Services (AWS); San Francisco (CA); On-site; USD 194,000 - 262,000; Full time

Job summary

Amazon Web Services (AWS) is seeking a Principal Go-To-Market Specialist for FSx for Lustre to lead global GTM strategy, drive adoption of GenAI and HPC workloads, and influence executive stakeholders across customers, partners, and internal teams.

You will collaborate with SageMaker, EKS, S3, and field teams to build compelling value propositions, enable sellers, and translate performance needs into product feedback and scalable wins.

Qualifications

• 7+ years of Go-To-Market, Business Development, Sales, or Consulting experience.
• 7+ years of working with Advanced Compute technologies including, but not limited to: Accelerated Compute, High Performance Compute, Visual/Spatial Compute, and/or IoT.
• 7+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience.
• Experience developing strategies that influence leadership decisions at the organizational level.
• Bachelor's degree in a relevant field or equivalent work experience.

Responsibilities

• Setting the WW GTM strategy for FSx for Lustre. Define strategic program direction and oversee execution of insight-driven programs that grow FSx for Lustre adoption and AWS market share with frontier model builders, AI-native startups, and enterprise AI and HPC customers.
• Driving GenAI and HPC workload adoption. Use your business judgment to drive revenue, build sales plays, and find new markets and opportunities across model training, fine-tuning, inference, and traditional HPC workloads such as genomics, EDA, seismic processing, financial simulation, and autonomous vehicle development.
• Working directly with the most demanding customers. Engage with leading AI labs, model providers, and enterprises to understand their performance, scale, and data pipeline needs, and turn them into product feedback, customer wins, and repeatable patterns.
• Partnering across AWS. Work with Compute (accelerated instances and UltraClusters), Amazon SageMaker HyperPod, Amazon EKS, Amazon S3, the Startups and Generative AI teams, industry teams, and service teams to align on joint GTM motions and find the workloads that drive FSx for Lustre growth.
• Mapping technology to business outcomes. Help customers understand how high-performance storage speeds up time to train, improves accelerator utilization, and lowers the total cost of AI and HPC infrastructure.
• Building enablement and evangelizing the platform. Use excellent written and verbal communication skills to build sales enablement tools, reference architectures, and customer-facing content. Represent FSx for Lustre with customers, partners, analysts, at industry events, and as the primary Executive Briefing Center voice for high-performance storage.
• Building the partner ecosystem. Work with ISVs, system integrators, and AI and HPC partners to create joint solutions and co-sell motions that scale adoption.
• Advising with data. Act as a trusted business advisor. Dive deep into pipeline, consumption, and win/loss data, create high-impact programs, track progress, and adjust to hit goals.
• Leading virtual teams. Guide cross-functional teams across sales, solutions architecture, product, and marketing to drive adoption in priority GenAI and HPC workloads.
• Owning goals. Define, drive, measure, manage, and coach on workload-focused goals across the worldwide business.

Skills

GTM Strategy

Business Development

Sales Experience

Consulting Experience

Education

Bachelor's degree

Job description

Amazon Web Services (AWS) is seeking a Principal Go-To-Market Specialist for FSx for Lustre to lead global GTM strategy, drive adoption of GenAI and HPC workloads, and influence executive stakeholders across customers, partners, and internal teams.

You will collaborate with SageMaker, EKS, S3, and field teams to build compelling value propositions, enable sellers, and translate performance needs into product feedback and scalable wins.