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Salary
≈ $31k – $62k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Sep 22, 2026.

Overview
Company
Impact
Profile match
Penguin Solutions designs and operates artificial intelligence computing clusters. Its services cover system design, memory products and managed infrastructure. The company builds large training environments for enterprises.

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 Software Product Manager, ClusterWareAI to lead the strategy, roadmap, and execution of our cluster management software within the AI Factory Platform.

ClusterWareAI is a critical component of the platform, enabling automated provisioning, orchestration, monitoring, and lifecycle management of large-scale AI and HPC environments. This role will define how customers deploy and operate AI factories with speed, reliability, and efficiency.

You will work at the intersection of AI infrastructure, distributed systems, and cloud-scale software, partnering closely with engineering, sales, and customers to deliver differentiated capabilities.

Responsibilities

  • Own the product vision, strategy, and roadmap for ClusterWareAI, aligned to Penguin’s AI Factory Platform
  • Define capabilities that enable rapid deployment, automation, and operational efficiency of AI clusters
  • Translate customer needs (hyperscalers, enterprises, research institutions) into scalable product requirements
  • Partner with engineering to deliver features across:
    • Cluster provisioning and orchestration
    • Workload scheduling and optimization
    • Monitoring, observability, and performance management
    • Lifecycle and capacity management
  • Collaborate with go-to-market teams to support positioning, pricing, and customer adoption
  • Engage directly with customers and partners to validate product direction and drive adoption
  • Track market trends in AI infrastructure, Kubernetes, HPC, and distributed systems to inform innovation

Qualifications

  • BS/BA in Computer Science, Engineering, or a related field. MBA preferred.
  • 5+ years of product management experience in enterprise or infrastructure software
  • Strong understanding of distributed systems, cluster management, or cloud platforms
  • Experience with AI/ML infrastructure, HPC environments, or Kubernetes-based ecosystems
  • Ability to translate complex technical concepts into clear product direction and business value
  • Proven track record of delivering customer-facing software products
  • Strong collaboration skills across engineering, sales, and leadership teams

Preferred Qualifications

  • Exposure to GPU computing, Kubernetes, or workload schedulers
  • Experience supporting AI model training or inference environments
  • Background working with hyperscalers or large enterprise infrastructure buyers

Location

Bangalore, India-Hybrid

Travel

Less than 10%

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