Job Description
Position Overview
We are seeking an experienced Product Manager to lead the development and enhancement of next-generation enterprise file system solutions. This role is ideal for someone with a strong technical background in file system architecture, performance optimization, and data orchestration across core, edge, and cloud environments.
You will work in a fast-paced, cross-functional environment to drive product innovation, shape go-to-market strategies, and deliver impactful solutions for customers across various market segments, including large enterprises, midmarket, and SMBs.
Key Responsibilities
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Define and execute the product vision and roadmap for enterprise file system offerings
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Develop solutions optimized for high-performance workloads across hybrid environments (on-prem, edge, and cloud)
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Lead initiatives for data movement, automation, and integration across storage platforms
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Collaborate with engineering, UX, marketing, and sales teams throughout the product lifecycle
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Engage with customers to gather feedback and translate into actionable requirements
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Conduct competitive and market analysis to inform product strategy
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Support product positioning, messaging, and launch strategies for different customer segments
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Drive performance, scalability, and security improvements in Linux and virtualized infrastructures
Required Skills & Qualifications
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Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
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5–8 years of experience in product management within storage, infrastructure, or enterprise software
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Expertise in file system architecture, distributed storage, and high-performance computing
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Strong understanding of data orchestration and migration across heterogeneous environments
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Experience with Linux, virtualization, and software-defined storage
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Familiarity with cloud-native technologies and Kubernetes is a plus
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Excellent communication, analytical, and organizational skills
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Proven ability to collaborate cross-functionally and drive product success from ideation to launch
Preferred Experience
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Background in HPC, AI workflows, or edge computing technologies
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Understanding of customer needs across various industry verticals
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Exposure to enterprise and hybrid cloud deployment models
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Experience with tools such as IBM Spectrum Scale (GPFS) is a plus