Elsa Asadian
Senior Product Manager @NetApp
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WORK HISTORY
Senior Product Manager @NetApp
Developed the entire media strategy & roadmap ($B revenue); set schedule/features/requirements/prioritization• Provided media and SSD strategy for AI-optimized storage portfolio (including AFX, A-Series, C-series); defining requirements for high-throughput, low-latency NAND solutions essential for training large language models (LLMs) and high-performance computing (HPC)• Collaborated with engineering to optimize storage architecture for AI pipelines, enabling faster data ingestion and checkpointing and preventing GPU underutilization • Evaluated market trends through market research, comp analysis & interviews; translated needs into products• Managed product life cycles from concept to HVM & collaborating with cross-functional teams
EDUCATION
University of Victoria
Master (M.A.Sc), Engineering
Fast.ai
Artificial Intelligence
ABOUT ELSA ASADIAN
I’m a Product and Engineering leader with 15+ years of experience building innovative hardware and SaaS solutions, specializing in the full vertical of AI Infrastructure and GenAI Applications. As a Senior Product Manager, I’ve led multi-billion-dollar product strategies—from roadmap creation to high-volume manufacturing—for cutting-edge data center storage, advancing the underlying infrastructure for AI, hyperscale data centers, and emerging liquid-cooled server solutions. Concurrently, as the founder of an AI-powered SaaS platform, I applied generative AI (GPT, Stable Diffusion) to automate product content creation, competitive insights, customer feedback sentiment analysis and image generation for e-commerce sellers. In this role, I scaled a 20+ person team, raised funding, built partnerships and drove go-to-market strategy from zero to traction.AI Infrastructure Architecture & Performance Engineering I’m passionate about connecting AI system performance with product strategy to support scalable and efficient next-generation AI applications.Currently building deep expertise in AI systems performance, infrastructure design, and high-throughput and low-latency computing environments. Gaining expertise in advanced hardware architectures (such as NVIDIA systems), system optimization techniques, and best practices for scaling large language models and AI workloads in production, including: • AI infrastructure: CPUs, GPUs (NVIDIA Grace, Blackwell), NVLink, NVSwitch, memory hierarchy, and multi-rack storage communication for large-scale AI workloads.• Hardware–software co-design (“mechanical sympathy”) techniques to optimize trillion parameter model performance.I thrive in fast-paced, high-impact environments where I can bring new technologies to life and turn ideas into real, scalable products.Let’s connect if you\'re working on:• AI infrastructure and applications, or data storage innovation• Technical product strategy and cross-functional leadership
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