Principal Product Manager, ExaScaler

DDN; Santa Clara (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

DDN seeks a Principal Product Manager to lead strategic product areas for EXAScaler. You will shape product direction, align multiple teams, and represent the product with senior customers and internal stakeholders.

You will drive roadmaps, PRDs, and user stories, and collaborate with engineering to balance innovation with reliability. Strong focus on data-driven decision making and market differentiation in AI/HPC deployments.

Qualifications

• 12+ years of product management experience in infrastructure, data platforms, storage, HPC environments, or cloud services.
• Proven track record delivering production features from definition through launch and iteration.
• Excellent communication and stakeholder management across technical and non-technical audiences.

Responsibilities

• Define and drive the multi-release strategy and roadmap for EXAScaler product domains.
• Translate strategy into prioritized roadmaps, PRDs, and detailed user stories with measurable success criteria.
• Partner with engineering leadership to align architecture, investment, and sequencing decisions.
• Act as a senior product voice with customers and partners, including executive briefings and roadmap deep dives.
• Shape competitive strategy for EXAScaler, including pricing, packaging, and market differentiation.
• Use data (analytics, feedback, and financial performance) to drive portfolio-level decisions.

Skills

Product management

Infrastructure

Data platforms

Storage

HPC environments

Cloud services

Communication

Stakeholder management

Education

Bachelor’s degree in Computer Science/Engineering or related field

Job description

DDN is seeking a Principal Product Manager to lead strategic product areas for EXAScaler. This role shapes product direction, drives cross-team alignment, and represents the product with senior customers and internal stakeholders.

Key Responsibilities

• Define and drive the multi-release strategy and roadmap for major EXAScaler product domains.
• Translate strategy into prioritized, outcome-driven roadmaps, clear PRDs, and detailed user stories with measurable success criteria.
• Partner with engineering leadership to make architecture, investment, and sequencing decisions, balancing innovation with reliability and technical debt reduction.
• Act as a senior product voice with customers and partners, including executive briefings, roadmap deep dives, and joint solution planning for large-scale AI and HPC deployments.
• Shape competitive strategy for EXAScaler in AI and high-performance data infrastructure, including pricing and packaging input, win/loss analysis, and market differentiation.
• Use data (product analytics, customer feedback, and financial performance) to drive portfolio-level decisions and product investment trade-offs.

Qualifications

• Must Have
• 12+ years of product management experience in infrastructure, data platforms, storage, HPC environments, or cloud services.
• Proven track record of delivering production features at scale, from definition through launch and iteration.
• Demonstrated ability to write concise PRDs and user stories with clear acceptance criteria and measurable success metrics.
• Experience working closely with sales teams, solutions architects, and customers on proof-of-concepts, roadmap discussions, and product escalations.
• Excellent communication and stakeholder management skills across both technical and non-technical audiences.
• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• Nice to Have
• Experience with data infrastructure supporting AI workloads, including training and inference pipelines or large-scale unstructured data environments.
• Familiarity with parallel file systems and high-performance storage architectures.
• Background in cloud-native architectures including microservices, containers, observability frameworks, and APIs.
• Strong technical depth in at least one of the following: Distributed storage or parallel file systems (Lustre, object, file, block, or key-value storage) / Cloud infrastructure platforms (AWS, Azure, GCP) or Kubernetes-based environments.
• Prior experience working in a B2B enterprise infrastructure company or high-growth technology environment.