Product Manager, UX

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem.

This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.

Everpure is unifying our CLI, API, and Model Context Protocol (MCP) surfaces into a single, cohesive agentic interaction model. As a Product Manager, you will define and own the horizontal UX for AI across all Everpure products, establishing how autonomous agents perceive system state, request approvals, and execute actions safely. Partnering cross-functionally with Fusion, AI, and Enterprise Data Cloud teams, you will transform fragmented capabilities into an intuitive, trusted enterprise platform.

• Standardize Agentic UX & Guardrails: Establish unified interaction patterns, approval workflows, and safety frameworks across CLI, API, MCP, and UI surfaces to ensure a seamless, reliable experience across Fusion, Enterprise Data Cloud, and AI product lines.

• Architect Human-in-the-Loop Trust Models: Design end-to-end human supervision and auditability features, establishing precise boundaries for agent autonomy that protect customer infrastructure while accelerating operational velocity.

• Align Cross-Functional Product Strategy: Collaborate horizontally with engineering, design, and product leaders across organizational boundaries to align product roadmaps and merge siloed agent surfaces into a cohesive platform.

• Formulate Quantitative Quality Metrics: Define and manage evaluation frameworks—measuring task success rates, guardrail compliance, time-to-human intervention, and trust signals—to continuously elevate agent performance and product reliability.

WHAT YOU BRING

• Systems Thinking & Product Vision: Skill in evaluating complex, multi-product architectures to synthesize disparate CLI, API, UI, and MCP interfaces into a unified product model that cross-functional teams actively build toward.

• Hands-On AI & Technical Proficiency: Demonstrated ability to prototype agent workflows and AI capabilities, apply evaluation frameworks, and utilize data tools (SQL, Git, modern prototyping tools) to test hypotheses and inform product decisions.

• Cross-Functional Leadership: Proven ability to build consensus, navigate complex cross-team dependencies, and lead technical strategy across engineering, design, and product organizations without direct authority.

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