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# Principal Storage Specialist

- **Company:** Amazon.com, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Databases, AI Infrastructure, High Performance Computing, Generative AI, Machine Learning Operations, Data Pipelines
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_a2b851b62c7da7fe2769d769381a59bb

## About the Role

* 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. experience
 * 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
 * Experience as a founder or executive focused on related segments, or as a practice leader or business unit owner
 * Experience selling to Fortune 1000 or Global 2000 organizations, To succeed in this role, you need a proven track record of building and executing GTM and sales programs at scale with measurable results, along with a strong understanding of HPC and AI/ML infrastructure.

## Description

* 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.

The ideal candidate can drive engagements and influence decisions at the CxO and VP level, and can also speak credibly with ML researchers, infrastructure engineers, HPC architects, and platform teams. You can think strategically and analytically about business, product, and technical challenges. You know how to build and deliver compelling value propositions, and you can work across the business to set vision and objectives and build consensus. You have a strong sense of ownership, a bias for action, and a desire to dive deep. You are excited to work at the frontier of AI infrastructure.