Senior Technical Marketing Engineer, AI

Pure Storage

Santa Clara, California

Full Time

Posted April 21, 2026

$182k - $273k

Energy Storage

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Job Description

The role involves leading the development of technical content and strategies to showcase AI storage solutions, translating complex architectures into compelling narratives, and driving digital experiences to support AI innovation and market adoption.

Key Responsibilities

Architect the AI Technical Content Roadmap and develop high-impact technical assets
Create demonstrations showcasing AI capabilities and build AI integration showcases
Lead the creation of AI toolkits, reference architectures, and deployment guides for sales and partners
Execute digital technical experiences, including building demonstrations and virtual sandboxes
Translate complex AI features into market value and act as a technical liaison between Product Management and Marketing

Requirements

Deep technical knowledge of storage and infrastructure combined with a functional understanding of the AI pipeline, including training, fine-tuning, and inference.
Proven ability to translate complex engineering concepts into simple, differentiated narratives for technical decision-makers across written, video, and presentation formats.
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.
Direct experience with Retrieval-Augmented Generation (RAG), Vector Databases such as Milvus or Pinecone, and infrastructure protocols including S3 object storage and high-performance networking.
Ability to align outcomes across Product, Engineering, and Sales teams to ensure a unified AI story across the entire Everpure portfolio.
Experience in designing and executing high-impact technical assets including deep-dive blogs, interactive digital experiences, and live webcasts related to AI and storage solutions.
Experience in building demonstrations that show how AI agents securely interact with the Everpure Unified Data Plane, including Model Context Protocol (MCP) servers.
Experience in creating a high-fidelity AI toolkit, reference architectures, and deployment guides for Field Sales and Partners.
Ability to translate complex features like DirectFlash efficiency or Evergreen One for AI into marketable selling points for infrastructure architects.
In-office work environment with the ability to work from the office in compliance with company policies.
Educational background or equivalent experience demonstrating expertise in AI, storage, and infrastructure technologies.