What are the responsibilities and job description for the Sr. Product Manager position at ScaleFlux?
We are seeking a highly motivated Senior Product Manager to drive the strategy, roadmap, and execution of next-generation NVMe SSD products for AI, cloud, hyperscale, and enterprise data center markets. This role will be responsible for defining innovative storage solutions that leverage advanced SSD controller architectures, firmware intelligence, and computational storage technologies to address the rapidly evolving demands of AI training, AI inference, high-performance computing (HPC), and large-scale data infrastructure.
The ideal candidate combines deep storage industry expertise with a strong understanding of SSD controller technologies, firmware architectures, NAND flash technologies, and emerging AI infrastructure requirements.
Key Responsibilities
Product Strategy & Vision
- Define and execute the product roadmap for enterprise and data center NVMe SSD solutions.
- Identify market opportunities driven by AI infrastructure, cloud computing, hyperscale deployments, and emerging data-intensive workloads.
- Develop product strategies that differentiate through performance, efficiency, reliability, firmware innovation, and computational storage capabilities.
- Analyze industry trends, competitive products, customer requirements, and technology roadmaps.
NVMe SSD Product Leadership
- Own product requirements for PCIe Gen4, Gen5, and next-generation NVMe SSD platforms.
- Define SSD performance, endurance, power efficiency, QoS, latency, and reliability targets.
- Partner closely with controller architecture, firmware, ASIC, and system engineering teams.
- Guide prioritization of firmware features and controller capabilities aligned with customer needs and market opportunities.
AI Infrastructure & Data Center Solutions
- Understand storage requirements for AI training clusters, inference infrastructure, GPU servers, and distributed storage systems.
- Collaborate with customers and ecosystem partners to optimize SSD solutions for AI workloads.
Customer & Ecosystem Engagement
- Engage directly with hyperscalers, OEMs, cloud service providers, AI infrastructure companies, and enterprise customers.
- Gather Voice of Customer (VoC) insights and translate them into product requirements.
Required Qualification
- Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or related technical field
- 5 years of experience in product management, product marketing, systems engineering, SSD development, or related storage industry roles
- The candidate needs proven experience in running ASIC product management
- .Strong knowledge of
NVMe SSD architecture
PCIe Gen4/Gen5/Gen6 ecosystem
NAND Flash technologies (TLC, QLC, emerging NAND
SSD controllers and firmware architecture
Enterprise storage system
Data center infrastructure
AI and HPC storage requirement
- Experience working closely with controller, firmware, hardware, and system engineering teams
- .Strong analytical, business, and communication skills
.Preferred Qualification
- MBA or advanced technical degree
- Familiarity with AI infrastructure architectures including GPU clusters and large-scale storage systems
- Experience engaging hyperscale customers and cloud service providers
- Participation in NVMe, SNIA, OCP, or related industry standards activities
- Knowledge of storage benchmarking, workload characterization, and performance analysis
.Preferred Industry Background
- Enterprise SSD Manufacturer
- Computational Storage Companie
- Semiconductor and Controller Vendor
- Hyperscale Cloud Provider
- AI Infrastructure Companie
- Data Center Hardware Vendor
- Storage System Manufacturers