Product Management Consultant

Consultant, Product Management 

Join Dell Technologies’ Unstructured Storage Team and help define the full-stack infrastructure powering the next generation of artificial intelligence. Working across the PowerScale, ObjectScale, Lightning File System, and Exascale Storage portfolios, you will collaborate with the world’s leading AI organizations to translate ambitious goals into scalable, production-ready solutions. This role is ideal for someone energized by emerging technology and comfortable shaping both the strategic product vision and the detailed solution architecture required to bring it to life.

What you’ll achieve: 

You will operate from 30k feet down to ground level—evangelizing Dell’s vision for AI infrastructure, whiteboarding architectures with customers, and diving into the technical details of storage, networking, and compute. You will guide customers through complex or still-evolving requirements, evaluate tradeoffs, and develop complete rack-level designs that account for performance, capacity, resiliency, connectivity, power, and operational needs. Success requires equal parts technical depth, curiosity, customer empathy, and the ability to create clarity where the path forward is not yet fully defined.

Join us to do the best work of your career and make a profound social impact as a Consultant on our Product Management team Seattle, WA or Santa Clara, CA.

Responsibilities

You will: 

• Own product area backlogs and requirements; prioritize for impact. 
• Prototype, experiment, and validate hypotheses with customers. 
• Plan launches and coordinate cross-functional readiness. 
• Ensure analytics, accessibility, and performance standards. 

Qualifications

Take the first step towards your dream career 

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: 

Essential Requirements 

• Hands-on experience designing or deploying AI, machine learning, or high-performance computing infrastructure
• Understanding of AI data pipelines, including data ingestion, preparation, training, checkpointing, inference, and long-term retention
• Strong knowledge of scale-out file, object, and distributed storage architectures
• Ability to turn ambiguous customer needs into clear requirements and actionable solution designs
• Confidence engaging with technical practitioners, architects, executives, product teams, and engineering organizations