Storage Product Architect

sghcorp.com; Palo Alto (CA); On-site; USD 116,000 - 144,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

401k saving plan

Paid Time Off

Life Insurance

Employee Assistance Plan

Job summary

Penguin Solutions is seeking a Storage Product Architect to define and drive the strategy for our storage portfolio. The role focuses on high-performance, data-intensive workloads within AI environments, collaborating with engineering and go-to-market teams.

Candidates should have a BS/BA in Computer Science/Engineering, along with 5+ years of product management experience. The position offers a competitive salary range of $116,000 to $144,000 and bonus eligibility, along with healthcare and other employee benefits.

Qualifications

• 5+ years product management experience in storage or enterprise systems.
• Strong understanding of performance optimization.
• Proven track record of delivering enterprise-grade infrastructure products.

Responsibilities

• Co-Own the product strategy for Penguin’s storage solutions.
• Define capabilities for high-throughput AI workloads.
• Translate customer needs into scalable product requirements.

Skills

Product management in storage

Understanding of distributed storage architectures

Experience with AI/ML and HPC

Cross-functional collaboration

Education

BS/BA in Computer Science or Engineering

MBA preferred

Tools

Parallel file systems (e.g., Lustre, GPFS)

NVMe-based architectures

Job description

At Penguin Solutions (Nasdaq: PENG) – The AI Factory Platform Company – we’re building a team of innovators who thrive on collaboration, creativity, and the opportunity to help shape the future of AI. As part of the AI technology revolution, our teams design, build, deploy, and manage AI factories for enterprises, sovereign AI initiatives, and neocloud providers worldwide.

Headquartered in Silicon Valley, California, Penguin Solutions operates globally through a network of R&D, manufacturing, and sales locations. For nearly three decades, we have operated at the intersection of memory and AI/HPC infrastructure. That engineering expertise positions us to power the next generation of AI workloads, from training to inference and agentic AI at scale.

Penguin Solutions brings together differentiated infrastructure software, advanced memory, compute systems, end-to-end services, and industry-leading partner solutions in a full-stack AI factory platform designed to help customers deploy and scale AI workloads with speed and precision.

At Penguin Solutions, we value ideas over hierarchy and believe in servant leadership, where leaders enable teams to do their best work. We empower employees to take ownership, drive innovation, and grow through challenging work, continuous learning, and exposure to advanced AI tools and technologies. With flexibility where it matters and a strong focus on outcomes, Penguin Solutions is a place to do your best work, grow your career, and make a meaningful impact.

Job Overview

We are seeking a Storage Product Architect to define and drive the strategy, roadmap, and execution of our storage portfolio within the AI Factory Platform.

Storage is foundational to AI factories, powering data ingestion, model training, and inference at scale. This role will shape how customers manage high‑performance, data‑intensive workloads across distributed AI environments.

You will work at the intersection of AI, data infrastructure, and high‑performance storage systems, partnering with engineering, customers, and go‑to‑market teams to deliver differentiated, scalable solutions.

Responsibilities

• Co‑Own the product strategy and roadmap for Penguin’s storage solutions aligned to the AI Factory Platform
• Define capabilities to support high‑throughput, low‑latency AI and HPC workloads
• Translate customer needs into scalable product requirements across:
  • Parallel file systems and distributed storage
  • Data pipelines, ingestion, and movement
  • Tiered storage and data lifecycle management
  • Performance optimization for GPU‑based workloads
• Partner with engineering to deliver high‑performance, scalable storage solutions
• Collaborate with sales and marketing on positioning, packaging, and customer adoption
• Engage with customers and partners to validate requirements and accelerate market traction
• Monitor trends in AI data infrastructure, storage technologies, and emerging architectures

Qualifications

• BS/BA in Computer Science, Engineering, or a related field. MBA preferred.
• 5+ years of product management experience in storage, data infrastructure, or enterprise systems
• Strong understanding of distributed storage architectures and performance optimization
• Experience with AI/ML, HPC, or large‑scale data platforms
• Ability to translate complex technical requirements into clear product strategy and customer value
• Proven track record of delivering enterprise‑grade infrastructure products
• Strong cross‑functional collaboration and communication skills

Preferred Qualifications

• Experience with parallel file systems (e.g., Lustre, GPFS), object storage, or NVMe‑based architectures
• Familiarity with GPU‑accelerated environments and AI training pipelines
• Exposure to hyperscalers or large enterprise infrastructure deployments

Location

Travel

Less than 10%

The base pay range that the Company reasonably expects to pay for this position in United States is $116,000 - 144,000; the pay ultimately offered may vary based on business considerations, including job‑related knowledge, skills, experience, and education. The position is bonus‑eligible, and there are medical, dental, and vision benefits available. There is a 401k saving plan and other benefits, such as Paid Time Off, Life Insurance, and an Employee Assistance Plan.

Inclusion & Belonging Statement

We are committed to creating an inclusive environment that embraces differences and fosters belonging for all.

Equal Opportunity Statement

We are an affirmative action/Equal Opportunity Employer and strongly committed to all policies which will afford equal opportunity employment to all qualified persons without regard to age, national origin, race, ethnicity, creed, gender, disability, veteran status, or any other characteristic protected by law.