The role involves leading product strategy and development for enterprise AI and analytics infrastructure, focusing on high-performance data storage solutions that support AI, machine learning, and data analytics workflows across various platforms.
Key Responsibilities
Define and execute the strategic roadmap for Pure's AI and Analytics portfolio across various platforms.
Own the vision for how Pure's storage and data services support AI, ML, and data analytics pipelines.
Lead competitive strategy and identify architectural advantages to create market disruption.
Drive product-market fit by integrating with AI frameworks, data platforms, and high-performance compute environments.
Partner with sales, marketing, and alliances to develop strategies that position Pure as a leader in AI and analytics infrastructure.
Engage with customers and partners to translate market needs into actionable product strategies.
Define KPIs and financial metrics to connect product innovation with business outcomes.
Requirements
Proven mastery of Product Management for complex, enterprise-grade infrastructure or data platforms.
Deep understanding of AI, ML, and data analytics ecosystems, including GPU-accelerated computing, high-performance file and object storage, and large-scale data pipelines.
Experience competing against or working with VAST, DDN, Weka, EMC, NetApp, or HPE in high-performance or AI-focused environments.
Exceptional communication and storytelling skills, capable of articulating a compelling vision for Pure's role in the AI-driven enterprise.
Data-driven decision-making skills, leveraging market data and customer insights to guide strategy and investment.
High-energy, self-starter mindset with the ability to inspire cross-functional teams and deliver meaningful business results.
Ability to define and own the strategic roadmap for AI and Analytics portfolio, including delivering breakthrough performance, scalability, and simplicity for AI and large-scale data workloads.
Ability to lead competitive strategy against existing players and identify architectural advantages that create market disruption.
Experience in driving product-market fit across ecosystems, integrating with AI frameworks, data platforms, and high-performance compute environments.
Ability to partner with GTM functions, Sales, Marketing, and Alliances to develop and execute strategies that position the company as a preferred infrastructure provider for AI and analytics transformation.
Engagement with customers and partners as a thought leader, translating market needs and emerging use cases into actionable product strategy.
Ability to define KPIs and financial metrics that connect product innovation to measurable business outcomes, ensuring sustained growth and leadership in enterprise AI infrastructure.
Work from the Santa Clara, CA office in compliance with company policies, unless on PTO, work travel, or other approved leave.
Benefits & Perks
Salary range: 291,000 - 437,000 USD
Potential for incentive pay and/or equity
Flexible time off
Wellness resources
Company-sponsored team events
In-office work environment in Santa Clara, CA
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