The company is listed on the NYSE and has grown from a storage maker into a data platform. It closed fiscal 2026 with $3.7 billion in revenue, including its first billion-dollar quarter, and expects growth to continue into FY27.
The company's strategy covers the businesses shaping the next wave of technology: hyperscalers, AI labs, the AI hardware supply chain, data platform providers and the wider AI ecosystem. The role sits within its fastest growing team, the Analytics & AI Field Solutions Architects.
Responsibilities
Act as the field's go-to technical authority on Analytics & AI, guiding sales teams and partners on where the company's storage fits in high performance data pipelines.
Help the field understand a customer's wider business and show how the company's solution delivers value.
Make sure enterprise account teams qualify and position Analytics & AI deals in their region, and enable channel partners both inside and outside the company.
Work across solutions, marketing, alliances, engineering, enablement and sales to align initiatives and go-to-market campaigns, while keeping up with new and upcoming solutions in the space.
Build field-facing content such as technical walkthroughs, deep dives, demos and qualification guides for specific Analytics & AI solutions.
Drive enablement projects that prepare the field for the early stages of Analytics & AI opportunities.
Present at webinars and events, with internal and external content alongside alliance partners, channel partners and vendors.
Join customer calls, demos, proofs of concept, EBCs, and internal strategy and sizing sessions.
Track updates to the company's block, file and container storage products, plus new solution briefs, and turn them into an enablement plan.
Contribute to the solutions roadmap and talk daily with solutions architects and product managers about field impact, deals and feedback.
Be available on Slack every day to enable people and influence customers and opportunities.
Oversee or take part in field testing, recording practical knowledge of applications and platforms until Solutions runs official testing.
Support post-sales work and troubleshooting with expert knowledge of the solutions.
Work with enterprise sales leaders in both directions, sharing feedback and keeping communication open.
Motivate the field to reach higher levels of success and win customers for the company's storage technology.
Engage closely with other go-to-market and corporate functions.
Connect and align people on the direct team and build relationships across the company.
Requirements
Bachelor's degree in data science, computer science or a related field, or equivalent experience, preferred.
8+ years of pre-sales experience in IT.
Deep technical knowledge of Analytics & AI and a clear view of where the industry is heading.
Solid grasp of the infrastructure, including servers, networking and storage, that supports high performance environments.
Proven leadership by example, with a respected record as a technical evangelist and deep expertise in key technologies.
Expert-level specialized sales skills in Analytics & AI products, and a solid understanding of the company's competitors in these technologies.
Able to discuss customer strategy and the company's solution strategy at a detailed technical level.
Able to explain complex concepts simply, so you can teach account teams and partners about the company's Analytics & AI solutions.
Excellent written and oral communication and presentation skills.
Proficient with G-Suite and CRM and opportunity management systems, preferably Salesforce.com.
Good problem solving, both technical and tactical, with experience of complex engineering designs.
Knowledge of the Analytics & AI landscape and how the pieces fit together for a customer outcome, including tools in a data pipeline such as Splunk, Elastic Search, Kafka, Spark, Snowflake, Vertica, TensorFlow and PyTorch, which typically run alongside Nvidia products and cloud providers (AWS, Azure, GCP) in virtualized or containerized environments.
Strong work ethic, positive attitude and follow-through.
Publications and a social media presence are a plus.
Conditions
Remote role.
You must live in Illinois, Wisconsin, Minnesota, Michigan, Indiana or Missouri.
Travel of 50% to 60% within your territory and other US locations.
Base salary range: $171,500 - $257,600 USD per year. Pay depends on role, level and location; for roles open in several locations, the range reflects the labor market across them.
May be eligible for incentive pay and/or equity.
No application deadline; applications are accepted until the role is filled.
Benefits
Flexible time off.
Wellness resources.
Company-sponsored team events.
About the company
E
Everpure
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