Sr. Product Manager

ScaleFlux; Milpitas (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

ScaleFlux is seeking a Senior Product Manager to drive strategy, roadmap, and execution for next-gen NVMe SSD products aimed at AI, cloud, and data center markets. You will shape storage solutions leveraging SSD controller architectures, firmware intelligence, and computational storage to meet AI training, inference, HPC, and large-scale data needs.

The ideal candidate brings deep storage industry expertise, strong knowledge of NAND Flash, SSD controllers, and firmware architecture, with proven

Qualifications

• 5+ years of experience in product management or related storage roles.
• Proven experience in ASIC product management.
• Strong knowledge of NAND Flash, SSD controllers, and firmware architecture.
• Experience with AI and HPC storage requirements.
• Experience collaborating with controller, firmware, hardware and systems teams.

Responsibilities

• Define and execute the product roadmap for enterprise NVMe SSD solutions.
• Identify market opportunities driven by AI infrastructure and hyperscale deployments.
• Develop strategies differentiating performance, efficiency and reliability.
• Analyze industry trends, competitors and customer requirements.
• Own requirements for PCIe Gen4/Gen5 and next-gen NVMe platforms.
• Define targets for performance, endurance, power, QoS, latency and reliability.
• Guide prioritization of firmware features and controller capabilities.
• Partner with architecture, firmware, ASIC, and system teams.

Skills

Product management

SSD technology

AI infrastructure

NAND Flash

Cross-functional collaboration

Education

Bachelor's degree in Electrical/Computer Engineering or related field

Job description

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

• 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.
• 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.
• 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 Qualifications

• 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.
• Proven experience in running ASIC product management.
• Strong knowledge of NAND Flash technologies (TLC, QLC, emerging NAND), SSD controllers, and firmware architecture.
• Experience with AI and HPC storage requirements.
• Experience working closely with controller, firmware, hardware, and system engineering teams.
• Strong analytical, business, and communication skills.

Preferred Qualifications

• 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.