Principal Product Manager, EXAScaler

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Accountabilities:

• Define and lead the multi-release product strategy and roadmap for EXAScaler domains, aligning long-term vision with execution priorities across engineering teams.
• Translate strategic goals into clear, outcome-based roadmaps, PRDs, and user stories with measurable success criteria.
• Partner closely with engineering leadership on architecture decisions, sequencing, and trade-offs between innovation, scalability, and technical debt.
• Engage directly with enterprise customers and partners in executive-level discussions, roadmap reviews, and solution design for large-scale AI and HPC deployments.
• Drive competitive positioning and market differentiation through win/loss analysis, pricing and packaging input, and product strategy refinement.
• Leverage product analytics, customer insights, and financial data to inform investment decisions and prioritize high-impact initiatives.

Requirements

The ideal candidate brings deep experience in infrastructure or platform product management, particularly in environments supporting large-scale data, AI, or HPC workloads. They combine strong technical fluency with strategic thinking and executive communication skills, and are comfortable influencing cross-functional teams in highly complex environments.

• 12+ years of product management experience in infrastructure, storage, data platforms, HPC, or cloud services.
• Proven track record of delivering complex, scalable products from concept through launch and iteration.
• Strong ability to write clear PRDs, user stories, and acceptance criteria tied to measurable outcomes.
• Experience collaborating with engineering, sales, solutions architects, and enterprise customers on technical product engagements.
• Excellent communication and stakeholder management skills across technical and executive audiences.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• Strong plus: experience with AI/ML data infrastructure, parallel file systems, cloud-native architectures, or Kubernetes environments.
• Background in distributed storage or enterprise infrastructure products is highly valued.

Benefits

• Competitive compensation aligned with senior-level product leadership roles
• Remote flexibility across the United States (#LI-Remote)
• Opportunity to work on cutting-edge AI and high-performance data infrastructure
• High-impact role with executive visibility and strategic influence
• Collaborative, innovation-driven environment focused on solving complex technical challenges
• Career growth in a globally recognized leader in AI and data storage technology
• Exposure to enterprise-scale customers across AI, research, and HPC industries.

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