Principal Product Manager, Enterprise AI and Analytics

Everpure•Santa Clara, CA

1d•$198,000 - $297,000•Onsite

About The Position

As the Principal Product Manager for Enterprise AI and Analytics, you will lead the vision and strategic architecture for how Everpure’s all-flash platform optimizes enterprise data for AI, ML, and advanced analytics workloads. Operating as a recognized domain expert, you will champion initiatives across FlashArray, FlashBlade, and Pure Fusion to transform distributed infrastructure into a governed, AI-ready foundation. Collaborating directly with executive leadership, the CTO office, and global go-to-market teams, your work will redefine how the world’s largest enterprises orchestrate data-centric AI pipelines from edge to core to cloud.

Requirements

Broad expertise and unique knowledge in the design, development, or implementation of enterprise-grade storage, distributed systems, or large-scale data platforms.
Deep technical proficiency in advanced infrastructure, encompassing high-performance file and object storage, GPU-accelerated computing environments, and the modern AI/ML data pipeline ecosystem.
Mastery in complex problem-solving, with a proven history of utilizing independent judgment to resolve unique, multi-faceted technical issues and establish novel methods and procedures.
Advanced collaborative and negotiating skills, capable of influencing senior leadership, driving alignment across disconnected business units, and altering strategic thinking in sensitive, high-stakes situations without compromising relationships.
A builder mindset with a demonstrated track record of shipping highly technical products, automating complex operational workflows, or actively managing repositories/shipped projects that put AI to work.

Responsibilities

Architect and execute the long-term strategic roadmap for the AI and Analytics portfolio, establishing corporate development criteria that ensure our flash architecture sets industry benchmarks for performance, scalability, and economics.
Define the foundational framework for Everpure Data Intelligence, spearheading how semantic data and metadata orchestration add context at the storage layer to satisfy complex global data governance and utilization objectives.
Formulate and scale high-impact ecosystem alliances, creating formal, cross-functional networks with major AI framework developers, compute providers, and independent software vendors (ISVs) to integrate Everpure deeply into existing enterprise workflows.
Drive technical competitive strategy and positioning by independently analyzing complex, intangible market variables to defend and expand Everpure's market share in high-performance data infrastructure.
Serve as an internal and external spokesperson, bridging deep architectural realities with high-level corporate strategies when consulting with key strategic clients, executive leadership, and engineering partners.