THE ROLE
As the lead architect of our AI technical value narrative, you will drive the digital and content strategies that captivate technical leaders and the infrastructure community. You will translate complex AI Factory architectures and high-performance storage differentiators into compelling stories that bridge the gap between enterprise data and intelligence. By distilling the "how-to" of AI data orchestration into clear, differentiated value propositions, you will empower our global sales teams and influence the next generation of data-centric AI innovation.
WHAT YOU'LL DO
- Architect the AI Technical Content Roadmap: Design and execute high-impact technical assets—including deep-dive blogs, interactive digital experiences, and live webcasts—that demonstrate how the Everpure Platform accelerates AI/ML workloads and RAG architectures.
- Pioneer AI Integration Showcases: Own the evangelism of AI capabilities, including Model Context Protocol (MCP) servers, by building demonstrations that show how AI agents securely interact with the Everpure Unified Data Plane.
- Orchestrate the Technical Bill of Materials (BOM): Lead the creation of a high-fidelity "AI toolkit," ensuring Field Sales and Partners have the reference architectures and deployment guides necessary to win in the market.
- Drive Digital Technical Experiences: Execute the strategy for digital showcases on everpure.com, specifically building Pure360 demonstrations and TestDrive environments to allow customers to interact with our virtual sandbox.
- Translate Feature Logic into Market Value: Act as the primary technical liaison between Product Management and Marketing to turn complex features—like DirectFlash efficiency or Evergreen//One for AI—into selling points for infrastructure architects.
- In-Office Collaboration: We are primarily an in-office environment and therefore, you will be expected to work from the office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.
WHAT YOU BRING
- Expertise in the AI Lifecycle: Deep technical knowledge of storage and infrastructure combined with a functional understanding of the AI pipeline, including training, fine-tuning, and inference.
- Technical Content Mastery: Proven ability to translate complex engineering concepts into simple, differentiated narratives for technical decision-makers across written, video, and presentation formats.
- Cloud-Native & Data Pipeline Fluency: Proficiency in Kubernetes and containers, specifically how Portworx by Everpure manages data for stateful AI applications, and how to solve "Data Preparation Bottlenecks" with high-throughput storage.
- Hands-on Technical Proficiency: Direct experience with RAG (Retrieval-Augmented Generation), Vector Databases (such as Milvus or Pinecone), and infrastructure protocols including S3 object storage and high-performance networking.
- Collaborative Leadership: Ability to align outcomes across Product, Engineering, and Sales teams to ensure a unified AI story across the entire Everpure portfolio.