Product Manager, UX

📍 Job Overview

Job Title: Product Manager, UX

Company: Everpure

Location: Santa Clara, California, United States

Job Type: Full-Time

Category: Product Management / UX Strategy (with a strong AI/Data Platform focus)

Date Posted: 2026-08-31

Experience Level: Mid-Level to Senior (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Define and own the horizontal User Experience (UX) strategy for Artificial Intelligence (AI) across all Everpure products, ensuring a cohesive and intuitive interaction model.

• Unify disparate interfaces including Command Line Interface (CLI), Application Programming Interface (API), and Model Context Protocol (MCP) surfaces into a single, agentic interaction framework.

• Architect robust human-in-the-loop trust models and safety guardrails to ensure autonomous agents operate within precise boundaries, protecting customer infrastructure.

• Drive cross-functional alignment and collaboration with Fusion, AI, and Enterprise Data Cloud teams to merge siloed agent capabilities into a unified, trusted enterprise platform.

• Establish quantitative quality metrics to continuously evaluate and elevate agent performance, reliability, and user trust.

📝 Enhancement Note: While the title is "Product Manager, UX," the core responsibilities and required skills strongly indicate a strategic product role focused on the intersection of AI, platform architecture, and user experience, rather than a purely design-focused UX role. The emphasis on unifying technical interfaces (CLI, API, MCP) and building trust models for autonomous agents positions this as a critical GTM and product strategy role within an AI-driven data platform company.

📈 Primary Responsibilities

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

• Architect Human-in-the-Loop Trust Models: Design comprehensive end-to-end human supervision and auditability features, defining clear boundaries for agent autonomy to enhance customer infrastructure security and accelerate operational velocity.

• Align Cross-Functional Product Strategy: Collaborate horizontally with engineering, design, and product leaders across various organizational units to harmonize product roadmaps and integrate fragmented agent surfaces into a cohesive, unified platform.

• Formulate Quantitative Quality Metrics: Define, implement, and manage evaluation frameworks that measure key performance indicators such as task success rates, guardrail compliance, time-to-human intervention, and trust signals, driving continuous improvement in agent performance and product reliability.

• Synthesize Complex System Architectures: Analyze and understand intricate multi-product architectures to effectively translate disparate CLI, API, UI, and MCP interfaces into a unified product vision that guides cross-functional development efforts.

• Drive AI Product Vision: Articulate and evangelize a clear product vision for AI-driven agentic interactions, ensuring that the UX strategy supports enterprise-grade trust, security, and operational efficiency.

📝 Enhancement Note: The responsibilities emphasize a strategic product management approach to AI UX, requiring deep understanding of technical interfaces and the ability to translate complex technical requirements into user-centric solutions. The focus on "guardrails" and "human-in-the-loop" highlights the critical need for risk management and trust-building within AI product development.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's degree in Computer Science, Engineering, Human-Computer Interaction, or a related technical field is typically expected for this level of product management role. A Master's degree or relevant certifications could be advantageous.

Experience: 5-10 years of experience in product management, with a significant focus on technical products, AI/ML, or complex software platforms. Experience in defining and launching horizontal UX strategies or platform-level features is highly desirable.

Required Skills:

• Systems Thinking & Product Vision: Proven ability to analyze complex, multi-product architectures and synthesize them into a coherent product model and roadmap.

• Hands-On AI & Technical Proficiency: Demonstrated experience with AI workflows, evaluating AI capabilities, and applying evaluation frameworks. Proficiency in data tools such as SQL and Git is essential. Experience with modern prototyping tools is also required.

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

• Customer & Trust-Centric Approach: Mastery of Jobs-to-be-Done (JTBD) principles, with a deep understanding of enterprise security, auditability, and operational guardrails, translating these into actionable product features.

• Agentic Interaction Design: Experience in designing user interactions for autonomous agents, including request/response patterns, approval workflows, and feedback mechanisms.

• Product Strategy Development: Ability to define product strategies, prioritize features, and translate market needs into a compelling product roadmap.

• Data Analysis & Metrics: Skill in defining and utilizing quantitative metrics to measure product performance, user engagement, and the effectiveness of AI features.

Preferred Skills:

• Experience with CLI, API, and MCP interface design and standardization.

• Familiarity with enterprise data platforms and hyperscale computing environments.

• Understanding of AI safety, ethics, and governance principles.

• Experience in UX research, user testing, and translating insights into product requirements.

• Knowledge of modern software development methodologies and agile processes.

📝 Enhancement Note: The requirement for "Hands-On AI & Technical Proficiency" suggests that candidates should be comfortable discussing technical concepts, potentially even engaging in light prototyping or data analysis. The emphasis on cross-functional leadership without direct authority points to a need for strong communication, influence, and stakeholder management skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies on AI/Platform Integration: Showcase examples where you've successfully integrated complex technical components or defined a unified user experience across multiple products or services.

• Demonstration of Systems Thinking: Present projects that highlight your ability to analyze intricate system architectures, identify dependencies, and define a cohesive product strategy.

• Evidence of Cross-Functional Leadership: Include projects where you led initiatives involving multiple engineering teams, design, and product groups, demonstrating consensus-building and strategic alignment.

• Metrics-Driven Impact: Provide examples of how you defined and used quantitative metrics (e.g., task success rates, efficiency gains, adoption metrics) to measure the success of your product initiatives, particularly those involving AI or complex platforms.

Process Documentation:

• Workflow Design & Optimization: Illustrate your experience in designing and optimizing complex workflows, especially those involving autonomous agents, human-in-the-loop processes, or multi-step approval sequences.

• System Implementation & Automation: Detail projects where you contributed to the implementation of new systems or automated processes, focusing on how you ensured seamless integration and user adoption.

• Performance Measurement & Analysis: Showcase your approach to defining and tracking key performance indicators (KPIs) for product features, particularly for AI-driven capabilities, and how you used this data for continuous improvement.

📝 Enhancement Note: For a role focused on unifying AI interactions, a portfolio showcasing a deep understanding of complex systems, cross-functional collaboration, and data-driven decision-making is crucial. Candidates should be prepared to articulate their process for defining strategy, managing dependencies, and measuring the impact of their product decisions, especially in the context of AI features and platform integration.

💵 Compensation & Benefits

Salary Range: The annual base salary range for this position is $149,000 to $224,000 USD.

Explanation of Range: This range is determined based on the role's level, responsibilities, and the specified location (Santa Clara, California). Santa Clara is a high-cost-of-living area, and the salary range reflects the market rate for experienced Product Managers with specialized AI and UX expertise in this region.

Benefits:

• Flexible Time Off: Encourages work-life balance and allows employees to manage their personal time effectively.

• Wellness Resources: Provides support for employee well-being, potentially including mental health services, fitness programs, or health education.

• Company-Sponsored Team Events: Fosters team cohesion, collaboration, and a positive work environment.

• Incentive Pay: Potential for bonuses based on individual and company performance, aligning employee success with business objectives.

• Equity: Opportunity to own a stake in the company's growth and success, typically through stock options or grants.

Working Hours: While not explicitly detailed, a standard full-time role typically involves approximately 40 hours per week. Given the on-site requirement and the nature of product management, flexibility may be expected to accommodate project deadlines and cross-functional collaboration across different time zones if applicable, though the primary location is specified.

📝 Enhancement Note: The provided salary range aligns with Senior Product Manager roles in the competitive Silicon Valley tech market. The inclusion of incentive pay and equity suggests a performance-driven culture and an opportunity for significant financial upside tied to company success, which is common for strategic roles in growing tech companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Data Storage, AI, and Cloud Infrastructure. Everpure is positioned as a data platform company, evolving from its origins in storage to serve the needs of hyperscalers, AI labs, and the broader AI ecosystem.

Company Size: The company has grown significantly, achieving $3.7 billion in revenue in fiscal 2026, indicating a large, established, and rapidly expanding enterprise. The "AI" tag suggests a focus on cutting-edge technology and innovation.

Founded: While the founding date isn't provided, the company's evolution and current revenue figures suggest a mature organization with a history of innovation and market leadership, now pivoting strongly towards AI.

Team Structure:

• Cross-Functional Collaboration: The role requires close partnership with Fusion, AI, and Enterprise Data Cloud teams, indicating a highly collaborative, matrixed organizational structure common in large tech companies.

• Product-Centric Approach: The emphasis on defining horizontal UX for AI suggests a product-led strategy where user experience and platform coherence are paramount.

• Leadership & Autonomy: The role demands leadership without direct authority, implying a culture that empowers individuals to drive initiatives and influence stakeholders across different departments.

Methodology:

• Data-Driven Decision Making: The requirement to formulate quantitative quality metrics underscores a commitment to using data to inform product development and measure success.

• Systems Integration: The core task of unifying disparate interfaces (CLI, API, MCP) points to a methodology focused on architectural coherence and seamless system integration.

• Agile Development: While not explicitly stated, the fast-paced tech environment and focus on iterative improvement suggest Agile or similar methodologies are likely in use for product development.

Company Website: https://www.purestorage.com/ (Note: The provided URL in the input data was purebenefits.com which is for benefits information. The main company URL is inferred from the domain pentair.com mentioned in the raw data, which is likely a parent or related entity, and commonly associated with Pure Storage.)

📝 Enhancement Note: The company's stated revenue and focus on AI suggest a dynamic and growth-oriented environment. The emphasis on unifying interfaces and creating a cohesive platform for AI interactions indicates a strategic push to become a leader in the AI infrastructure space, requiring product managers who can navigate complexity and drive consensus.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a mid-to-senior level within Product Management, focusing on a critical, horizontal product area (AI UX/Platform). It requires significant strategic thinking, technical understanding, and leadership capabilities. The scope of owning UX across multiple product lines indicates a high level of responsibility.

Reporting Structure: The role involves close collaboration with leaders across Fusion, AI, and Enterprise Data Cloud teams, suggesting the Product Manager will likely report into a senior product leadership role within one of these domains or a central product organization. The need to lead without direct authority highlights the importance of influence within the broader product and engineering structure.

Operations Impact: The Product Manager will have a direct and substantial impact on Everpure's strategic agenda, particularly in serving the AI ecosystem. By defining how autonomous agents interact with the platform, they will influence customer adoption, operational efficiency, and the overall trust and reliability of Everpure's AI offerings, directly contributing to revenue growth and market positioning.

Growth Opportunities:

• Strategic Product Leadership: Potential to grow into Director or VP of Product roles, leading larger product portfolios or defining company-wide product strategy, especially in emerging AI areas.

• Specialization in AI Product Management: Deepen expertise in AI product development, human-AI interaction, and platform strategy, becoming a go-to expert within the company and the industry.

• Cross-Functional Leadership Development: Enhance skills in influencing, stakeholder management, and driving complex initiatives across large organizations, preparing for broader leadership roles.

• Technical Domain Expertise: Gain in-depth knowledge of enterprise data clouds, hyperscale infrastructure, and advanced AI technologies, opening doors to specialized technical product roles.

📝 Enhancement Note: This role offers a significant opportunity for career advancement within a rapidly growing tech company at the forefront of AI. The ability to shape the future of AI interaction for enterprise customers is a high-impact responsibility that can lead to substantial career growth.

🌐 Work Environment

Office Type: The role is explicitly an "On-site" position, requiring the employee to work from the Santa Clara, CA office. This suggests a company culture that values in-person collaboration and team interaction.

Office Location(s): Santa Clara, California. This location is a hub for the technology industry, offering access to a rich ecosystem of talent and innovation.

Workspace Context:

• Collaborative Environment: Being an on-site role implies a workspace designed for collaboration, with opportunities for impromptu discussions, team meetings, and direct interaction with colleagues from engineering, design, and other product teams.

• Access to Operations Tools: It's expected that the Santa Clara office is equipped with the necessary technology and tools to support product management activities, including high-speed internet, meeting rooms, and potentially access to specialized hardware or software for AI development and testing.

• Team Interaction Opportunities: The on-site requirement facilitates direct engagement with team members, fostering a strong sense of community, shared purpose, and efficient problem-solving through face-to-face interactions.

Work Schedule: The role is full-time, with an expected standard work week of approximately 40 hours. However, in the fast-paced tech industry and for a strategic product role, some flexibility may be required to meet project deadlines, attend critical meetings, or collaborate with teams in different time zones, though the primary expectation is on-site presence.

📝 Enhancement Note: The "on-site" requirement is a key characteristic of this role, indicating a preference for in-person collaboration. Candidates should be prepared for a traditional office environment in Silicon Valley, with its associated pace and collaborative culture.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

• Product Sense & Strategy Interview: Expect interviews focused on your product vision, ability to define strategy for complex problems (like unifying AI UX), and your understanding of the AI and data platform landscape.

• Technical/Systems Thinking Interview: This will likely involve deep dives into your experience with technical architectures, systems thinking, and how you approach unifying disparate interfaces (CLI, API, MCP). You may be asked to whiteboard solutions or discuss complex system designs.

• Cross-Functional Leadership Interview: This interview will assess your ability to influence, build consensus, and manage stakeholders across different teams without direct authority. Behavioral questions focusing on past experiences will be common.

• UX/Human-in-the-Loop Design Interview: Questions will focus on your approach to designing user experiences for AI, architecting trust models, and defining guardrails. You may be asked to critique existing UX or propose solutions for specific scenarios.

• Portfolio Review: Be prepared to present selected case studies from your portfolio, detailing your role, the challenges, the processes you followed, the solutions you implemented, and the measurable impact.

• Hiring Manager/Team Interviews: Further discussions with the hiring manager and potential team members to evaluate overall fit, leadership potential, and alignment with team dynamics.

Portfolio Review Tips:

• Highlight Systems Thinking: Select projects that clearly demonstrate your ability to understand and navigate complex technical architectures and multi-product ecosystems. Use diagrams to illustrate system interactions.

• Quantify Impact: For each case study, clearly articulate the metrics used to measure success (e.g., adoption rates, efficiency improvements, reduction in errors, customer satisfaction scores) and present concrete results.

• Showcase Cross-Functional Leadership: Detail how you collaborated with engineering, design, and other stakeholders, emphasizing your role in driving alignment and consensus.

• Focus on AI/Platform Experience: Prioritize projects that show your engagement with AI technologies, data platforms, or the unification of technical interfaces (CLI, API, MCP).

• Structure Your Narrative: For each project, follow a clear story: the problem, your approach/process, the solution, and the outcome/impact. Be ready to answer "why" behind your decisions.

Challenge Preparation:

• AI UX Strategy Exercise: You might be given a hypothetical scenario to design an agentic interaction model for a specific task or to propose how to unify certain interfaces. Focus on user needs, trust, safety, and scalability.

• Systems Architecture Discussion: Be prepared to discuss how you would approach designing a system to manage autonomous agent actions, including error handling, auditing, and approval workflows.

• Stakeholder Alignment Scenario: Practice articulating a product vision and strategy to different stakeholder groups (e.g., engineering leads, sales, executives) and how you would gain their buy-in.

📝 Enhancement Note: The interview process will heavily scrutinize your ability to think strategically about complex technical systems, lead without authority, and drive user-centric experiences for AI products. A strong portfolio that demonstrates these capabilities with quantifiable results is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Tools like Jira, Confluence, Asana, or similar for task management, roadmap planning, and documentation.

• Prototyping Tools: Modern prototyping tools (e.g., Figma, Sketch, Adobe XD, Axure) for creating mockups and user flows.

• Data Analysis & Visualization: SQL for data querying and analysis; tools like Tableau, Power BI, or Looker for creating dashboards and reporting.

• Version Control: Git for code management, especially relevant given the technical nature of the role and collaboration with engineering.

Analytics & Reporting:

• Web/Product Analytics: Tools such as Google Analytics, Amplitude, Mixpanel for tracking user behavior and feature adoption.

• Business Intelligence (BI) Tools: For generating reports, analyzing trends, and communicating performance to stakeholders.

CRM & Automation:

• CRM Systems: Experience with CRM platforms (e.g., Salesforce) might be beneficial for understanding customer data and sales processes, though not explicitly listed as a primary requirement.

• Workflow Automation Tools: Familiarity with concepts and potentially tools used for automating operational workflows, especially those involving AI agents.

• Integration Technologies: Understanding of how different systems (CLI, API, MCP, UI) are integrated and communicate is crucial.

📝 Enhancement Note: Proficiency in SQL and Git is explicitly mentioned as required. The role also implies a need to understand and work with APIs and CLIs, suggesting familiarity with developer tools and platforms. Experience with prototyping and data visualization tools will be critical for communicating product vision and performance.

👥 Team Culture & Values

Operations Values:

• Innovation & Trailblazing: Everpure celebrates individuals who think critically, embrace challenges, and aspire to be pioneers in technology, particularly in the AI space.

• Growth & Contribution: The company provides space and support for employees to grow, contribute meaningfully, and be part of something significant. Recognition as a "Great Place to Work®" and "Fortune's Best Workplaces in Technology™" highlights a positive and supportive environment.

• Teamwork & Collaboration: A culture of mutual support, setting aside ego for the collective good, and building each other up is strongly emphasized.

• Data-Driven Approach: The requirement to establish quantitative metrics indicates a culture that values data in decision-making, performance evaluation, and continuous improvement.

• Efficiency & Optimization: The focus on unifying interfaces and architecting agentic interactions suggests an underlying value placed on operational efficiency and process optimization.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative style, with Product Managers actively working across engineering, design, and other product teams to align roadmaps and achieve common goals.

• Influence & Consensus Building: The need to lead without direct authority means collaboration will often involve persuasion, negotiation, and building consensus among diverse teams with potentially competing priorities.

• Knowledge Sharing & Learning: The emphasis on innovation and growth suggests an environment where knowledge sharing, feedback exchange, and continuous learning are encouraged to drive collective improvement.

📝 Enhancement Note: Everpure's stated values emphasize innovation, growth, and teamwork, suggesting a dynamic and supportive environment. The company's awards for workplace culture reinforce this, indicating a place where collaboration and individual contribution are highly valued.

⚡ Challenges & Growth Opportunities

Challenges:

• Unifying Disparate Interfaces: The primary challenge is harmonizing the user experience across CLI, API, and MCP, which often have different design paradigms and user bases. This requires significant technical understanding and strategic vision.

• Building Trust in AI Agents: Architecting human-in-the-loop models and robust guardrails to ensure customer trust and safety in autonomous operations is a complex technical and ethical challenge.

• Cross-Organizational Alignment: Leading product strategy across multiple, potentially siloed, teams (Fusion, AI, Enterprise Data Cloud) without direct authority requires exceptional influence and stakeholder management skills.

• Defining and Measuring AI Performance: Establishing meaningful quantitative metrics for AI agent success, reliability, and trust, especially in enterprise environments, is an ongoing challenge.

Learning & Development Opportunities:

• AI Product Specialization: Opportunities to become a deep expert in AI product management, specifically in agentic interactions and enterprise AI platforms.

• Platform Strategy Development: Gain hands-on experience in defining and executing horizontal product strategies that span multiple product lines and impact the entire company's technical direction.

• Advanced Technical Acumen: Deepen understanding of cloud infrastructure, data platforms, and AI technologies through close collaboration with leading engineering teams.

• Leadership and Influence Skills: Develop advanced capabilities in influencing without authority, strategic communication, and navigating complex organizational dynamics.

📝 Enhancement Note: This role presents significant challenges at the forefront of AI product development. Successfully navigating these challenges will provide unparalleled growth opportunities for individuals looking to lead in the AI and data platform space.

💡 Interview Preparation

Strategy Questions:

• "How would you approach defining the unified UX for AI agents across CLI, API, and MCP surfaces for an enterprise data platform?" (Focus on user needs, technical feasibility, and consistency.)

• "Describe a time you had to influence engineering teams without direct authority to adopt a particular product strategy or technical direction. What was the outcome?" (Highlight your communication, negotiation, and consensus-building skills.)

• "How would you design a human-in-the-loop system for autonomous agent actions to ensure customer trust and safety, while still enabling operational velocity?" (Discuss specific features, approval workflows, and auditability.)

• "What are the key metrics you would track to measure the success and reliability of an AI agent interacting with enterprise infrastructure?" (Emphasize quantitative measures, guardrail compliance, and user trust indicators.) Company & Culture Questions:

• "Why are you interested in Everpure and this specific role at the intersection of AI and Product Management?" (Connect your skills and career goals to Everpure's mission and the role's impact.)

• "How do you foster collaboration and align product roadmaps across different engineering and product teams?" (Provide examples of your cross-functional leadership style.)

• "How do you stay updated on the latest trends in AI, UX, and enterprise data platforms?" (Showcase your commitment to continuous learning.) Portfolio Presentation Strategy:

• Structure for Impact: For each case study, clearly articulate the problem, your specific role and responsibilities, the strategic/technical approach you took, the solution you implemented, and the measurable results (quantify whenever possible).

• Visual Aids: Use diagrams, flowcharts, and mockups to illustrate complex systems, workflows, and user interactions. This is crucial for a UX-focused role.

• Tell a Story: Weave a narrative that demonstrates your problem-solving skills, your ability to navigate challenges, and your impact on the business or user experience.

• Focus on "Why": Be prepared to explain the rationale behind your decisions, especially concerning trade-offs and strategic choices.

• Tailor to the Role: Highlight projects that best showcase your systems thinking, AI/technical proficiency, cross-functional leadership, and customer/trust-centric approach relevant to this specific position.

📝 Enhancement Note: Interviewers will be looking for a strong blend of strategic product thinking, technical understanding, UX sensibility for AI, and leadership capabilities. Your ability to articulate complex ideas clearly and demonstrate past success with quantifiable results will be key.

📌 Application Steps

To apply for this Product Manager, UX position:

• Submit your application through the provided link on the Everpure careers portal.

• Customize Your Resume: Highlight your experience with product management, AI, UX strategy, systems thinking, and cross-functional leadership. Quantify achievements with specific metrics and tailor keywords to match the job description (e.g., "agentic interaction," "human-in-the-loop," "CLI/API/MCP unification").

• Prepare Your Portfolio: Curate 2-3 compelling case studies that best demonstrate your ability to handle complex technical products, define strategy for AI-driven features, and lead cross-functional initiatives. Focus on projects showcasing systems integration, user trust models, and measurable impact.

• Practice Your Narrative: Rehearse your portfolio presentation and be ready to answer behavioral and strategic questions, focusing on your experience with AI products, platform strategy, and influencing without authority.

• Research Everpure: Understand their current product offerings, their strategic shift towards AI, their competitive landscape, and their company culture. Prepare thoughtful questions for the interviewers.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.