Jobgether
Technical Product Manager – Storage
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Technical Product Manager – Storage
Technical Product Manager – Storage 📍 Location: United Kingdom Fair-ember company
About the Role
As a Technical Product Manager – Storage, you’ll shape the vision, strategy, and roadmap for large-scale cloud storage services enabling advanced AI and high-performance computing (HPC) workloads. The role bridges engineering, architecture, and product strategy, translating deep technical systems knowledge into clear priorities and deliverables. Ideal candidates bring hands-on expertise in distributed storage systems, performance optimisation, and cross-functional leadership to build next-gen cloud infrastructure.
Accountabilities
Define and execute the product roadmap and backlog for cloud storage services, including:
- Block storage
- File systems (implementation or configurations like Lustre/GPFS/Spectrum Scale)
- Parallel file systems
- Object storage (e.g. S3-compliant)
Core Responsibilities:
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Develop and drive storage system initiatives across:
- Durability
- Performance
- Scalability
- Availability
- Cost optimisation
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Collaborate with engineering and architecture teams to refine:
- Data paths
- Consistency models
- Replication strategies
- Erasure coding
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Defend technical trade-offs (e.g. latency vs throughput, IOPS vs durability, cost per TB) using data-driven quantitative analysis.
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Align delivery to enterprise-grade reliability, scalability, and efficiency.
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Coordinating cross-functional teams in product positioning, technical documentation, and customer engagement (marketing, pre-sales).
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Ensuring storage solutions deliver high performance for:
- AI/ML training
- Inference workloads
- Hybrid cloud or HPC environments
Requirements
Technical Expertise:
Required: ✅ Extensive experience in cloud/hyperscale storage systems (senior engineering, architecture, or leadership roles) at providers like hyperscalers, cloud vendors, or niche storage companies. ✅ Deep technical knowledge of storage systems*, including:
- Block storage architectures
- File storage interfaces (POSIX)
- Object storage implementations
- Distributed storage systems: Ceph, S3-compliant systems
- Replication/erasure coding
- Consistency models and performance bottlenecks ✅ Hands-on familiarity with technologies:
NVMe, NVMe-over-Fabric, iSCSI, Lustre, Spectrum Scale, BeeGFS, RDMA data paths
Preferred: ✅ Hands-on optimisation of:
- IOPS, throughput, and low-latency performance (including tail latency* monitoring).
- Cross-checking per-TB cost efficiency. ✅ Expertise in two or more niches:
- Block storage + virtualisation
- Distributed scalable systems
- HPC file systems
- Storage performance engineering
- Cloud-native object storage
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Leadership & Soft Skills:
Required: ✅ Proven leadership in cross-functional technical initiatives within distributed teams. ✅ Exceptional stakeholder management skills, bridging engineering and business functions. ✅ Strong collaboration with architecture, product, or pre-sales teams.
Preferred: ✅ Experience shaping storage solutions for AI/ML or HPC workloads. ❌ Product Management experience not required, but evidence of technical initiative-taking is.
Benefits
- Competitive remuneration: Packages let expertise guide compensation.
- Career growth: Investment in technical upskilling and mentorship.
- Flexible work policy: Autonomy in hybrid/remote arrangements.
- Innovation exposure: Cutting-edge AI infrastructure and cloud advancements.
- Collaborative culture: Multinational team comprising skilled engineers and PMs.
- From storage to HPC pipelines, work has measurable impact.
Note:
- This role is listed via Jobgether. The application process uses AI-powered matching to assess candidates against requirements. Sourcing decisions engage the hiring company directly. All data privacy protocols (e.g., GDPR) apply; AI support enriches assessment but does not influence decisions. Individual details match technology-driven insights without AI bias.
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