Principal Product Manager, ExaScaler
DDN · Hybrid
MeritLog read this listing from DDN's Ashby job board and last checked it on September 12, 2026.
Source: the employer's Ashby job board. Open the original listing for current details.
Job details
- Work model
- Hybrid
- Salary
- $200K - $240K
- Location
- Santa Clara Colocation
What the role asks for
What you'd do
- 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.
What they're asking for
- 12+ years of product management experience in infrastructure, data platforms, storage, HPC environments, or cloud services.Experience
- Proven track record of delivering production features at scale, from definition through launch and iteration.Skill
- Demonstrated ability to write concise PRDs and user stories with clear acceptance criteria and measurable success metrics.Skill
- Experience working closely with sales teams, solutions architects, and customers on proof-of-concepts, roadmap discussions, and product escalations.Skill
- Excellent communication and stakeholder management skills across both technical and non-technical audiences.Skill
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.Education
- Experience with data infrastructure supporting AI workloads, including training and inference pipelines or large-scale unstructured data environments.SkillPreferred
- Familiarity with parallel file systems and high-performance storage architectures.SkillPreferred
- Background in cloud-native architectures including microservices, containers, observability frameworks, and APIs.SkillPreferred
- Strong technical depth in at least one of the following:SkillPreferred
- Distributed storage or parallel file systems (Lustre, object, file, block, or key-value storage)SkillPreferred
- Cloud infrastructure platforms (AWS, Azure, GCP) or Kubernetes-based environmentsSkillPreferred
- Prior experience working in a B2B enterprise infrastructure company or high-growth technology environment.SkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
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.
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