This role involves leading technical sales and solution development for AI and HPC storage systems, providing expert guidance on technology integration, customer engagement, and market positioning within the data storage industry.
Key Responsibilities
Partner with account managers, specialists, and channel partners to develop customer strategies and drive revenue growth
Understand customer business objectives and articulate how AI and HPC solutions align with their goals
Create customer-facing content such as technical walkthroughs, deep dives, and qualification guides for AI and HPC opportunities
Participate in customer calls, demos, POCs, and internal strategy sessions to demonstrate solutions
Translate customer business needs into innovative AI and HPC solutions to accelerate growth
Lead or contribute to responses for RFPs, RFQs, and RFIs
Promote interoperability, performance testing, and validation opportunities
Develop and deliver technical marketing materials and thought leadership content
Provide post-sales technical support and expertise on storage and HPC solutions
Collaborate with sales and technical teams to gather feedback and align strategies
Requirements
Bachelor's Degree in Computer Science or related field or equivalent experience
8 years of experience in the data center field, including hands-on experience designing, implementing, and maintaining comprehensive storage, networking, cloud, HPC, and AI architectures and standards
Technical pre-sales experience is required
Prior experience in targeting new prospects and converting them into clients
Deep understanding of industry AI frameworks such as PyTorch, TensorFlow, JAX, etc.
Deep understanding of high performance, low latency, highly parallelized compute solutions at scale including compute, network, and storage
Deep understanding of accelerated compute environments such as GPU, ASIC, FPGA, etc.
Understanding of AI and HPC orchestration and management layers such as Kubernetes, Slurm, Vertex, Sagemaker
Deep understanding of the convergence of HPC and AI infrastructure requirements and challenges
Understanding of classic unstructured data applications and next-generation analytics and web frameworks
Strong knowledge of Digital transformation to Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
Familiarity with Linux, NFS file systems, and Linux distributed network environment
Experience with installation and configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
Familiarity with cloud platforms such as AWS, Azure, GCP is a plus
Familiarity with containers, Kubernetes, and microservices architectures
Self-motivated individual with ownership mindset who drives the business to overachieve expectations
Excellent oral and written communication skills with the ability to explain complex concepts simply
Ability to articulate and understand customer strategy and Pure Storage’s solution strategy at a technical level for AI and HPC domains
Ability to teach systems engineers and account executives these concepts
Strong technical and tactical problem solving skills and experience with complex engineering designs
Proficiency with CRM and opportunity management systems, preferably Salesforce.com
Ability to travel throughout the territories as required
Benefits & Perks
Annual base salary range of 152,000 to 243,600 USD, potentially including incentive pay and equity
Flexible time off
Wellness resources
Company-sponsored team events
Ready to Apply?
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