Vice President, Product Management
Listed on 2026-08-07
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IT/Tech
AI Engineer (Applied/Software), Systems Engineer
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.
JobOverview
We are seeking a Vice President, Product Management to lead the strategy, execution, and growth of our Advanced Computing portfolio, spanning both hardware and software offerings. Reporting to the Chief Product Officer, this role will be responsible for defining portfolio vision, driving alignment across the AI Factory Platform, and ensuring the delivery of integrated, market-leading solutions that meet evolving customer demands.
As a key member of the product leadership team, the VP will partner closely with Engineering, Sales, and executive stakeholders to translate market opportunities into differentiated offerings, strengthen hardware-software integration, and accelerate adoption across global customers and partners. This position plays a critical role in shaping Penguin's long-term product strategy and driving business impact across the full-stack AI platform.
Responsibilities- Define and execute the multi-year strategy and vision for Penguin’s Advanced Computing portfolio, spanning hardware, software, and integrated solutions
- Own the end-to-end product lifecycle, from ideation through launch and continuous optimization
- Drive portfolio prioritization aligned to customer needs, market trends, and business impact
- Lead roadmap execution across AI, HPC, cloud, and infrastructure solutions, ensuring seamless hardware-software integration
- Align product strategy with engineering to deliver scalable, high-performance, end-to-end solutions
- Establish and track KPIs to measure portfolio performance, adoption, and business outcomes
- Engage directly with customers, partners, and industry leaders to validate strategy and identify emerging opportunities
- Translate customer and market insights into differentiated, full-stack product and solution capabilities
- Partner with Sales and Marketing on go-to-market strategy, positioning, and pricing across the portfolio
- Build, lead, and scale a high-performing global team of Product Managers
- Foster a culture of innovation, accountability, and customer-centricity
- 15+ years of experience in product management in the high-tech industry, with leadership at the Director or VP level
- Bachelor’s degree in Computer Science, Engineering, or a related field required; MBA preferred
- Proven track record of defining and delivering complex, full-stack infrastructure solutions across hardware, software, and integrated platforms
- Experience leading product organizations in AI, HPC, cloud, or advanced computing environment
- Strong background in AI/ML Infrastructure, HPC environments, and/or Kubernetes-based technologies
- Experience with integrated hardware-software solutions or infrastructure…
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