Director Product Strategy – AI Product Line

📍 Job Overview

Job Title: Director Product Strategy – AI Product Line

Company: Everpure

Location: Santa Clara, California

Job Type: Full-Time

Category: Product Strategy / Go-to-Market Operations

Date Posted: 2026-06-19

Experience Level: 10+ Years

Remote Status: On-site

🚀 Role Summary

• Lead and architect the global go-to-market (GTM) strategy for Everpure's AI product line, focusing on accelerating field readiness and customer adoption.

• Translate complex AI capabilities, including LLMs and advanced data stacks, into clear, differentiated customer value propositions and compelling solution narratives.

• Empower international sales teams, solutions consultants, and channel partners with modern playbooks, targeted messaging, and high-impact collateral to scale AI sales.

• Drive executive customer engagement and serve as a strategic voice for Everpure's AI vision in high-stakes meetings and industry events.

• Define, track, and optimize key performance indicators (KPIs) for field readiness, customer adoption, and revenue acceleration of the AI product line.

📝 Enhancement Note: This role, while titled "Director Product Strategy," has a heavy emphasis on Go-to-Market execution and Sales Enablement, aligning it closely with Revenue Operations and Sales Operations functions. The core objective is to drive commercial outcomes for the AI product line by bridging product capabilities with market execution.

📈 Primary Responsibilities

• Go-to-Market Blueprint Development: Design and execute a comprehensive global GTM strategy in collaboration with Product Management, Engineering, Sales, and Marketing to position Everpure as a leader in enterprise AI infrastructure.

• Value Proposition Articulation: Transform intricate AI/ML technologies (e.g., LLM orchestration, agents, advanced data platforms) into easily understood and impactful customer value propositions that directly address enterprise business outcomes.

• Sales Enablement & Field Readiness: Develop and deliver modern playbooks, messaging frameworks, and collateral to equip global sales teams, solutions consultants, and channel partners with the knowledge and tools to effectively sell AI solutions.

• Executive Engagement & Thought Leadership: Represent Everpure's AI strategy and vision in critical customer meetings, analyst briefings, and industry events to influence perception, drive pipeline, and secure market share.

• Performance Measurement & Optimization: Establish, monitor, and analyze key success metrics and KPIs related to field adoption, sales pipeline velocity, and revenue generation for the AI product portfolio, implementing data-driven adjustments.

• Market Intelligence & Competitive Analysis: Continuously gather and synthesize market trends, customer feedback, and competitive intelligence to inform GTM strategy adjustments and product roadmap prioritization for AI initiatives.

• Cross-Functional Alignment: Foster strong working relationships and ensure seamless communication and alignment across Product, Engineering, Marketing, Sales, and Customer Success teams to support the AI product line's GTM objectives.

📝 Enhancement Note: The responsibilities highlight a strong need for strategic planning, cross-functional leadership, and a deep understanding of the sales cycle for enterprise technology. The emphasis on "translating technology into value" and "empowering the field" points towards a role that bridges product understanding with commercial execution, a core tenet of effective Revenue Operations.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Business, Marketing, Computer Science, Engineering, or a related field. A Master's degree (MBA or technical) is highly preferred. Experience:

• Minimum of 10 years of progressive experience in enterprise software, SaaS, or data infrastructure companies, with a significant focus on product management, product marketing, strategic consulting, or GTM leadership roles.

• Proven track record in developing and executing successful go-to-market strategies for complex technology products, preferably within the AI/ML domain. Required Skills:

• Strategic Go-to-Market Planning: Demonstrated ability to architect and implement comprehensive GTM strategies that drive market adoption and revenue growth.

• AI/ML Domain Expertise: Deep understanding of the AI/ML ecosystem, including enterprise data infrastructure, LLM orchestration, AI agents, and modern data platform architectures.

• Customer Value Articulation: Exceptional skill in translating complex technical capabilities into clear, compelling, and differentiated customer value propositions and business outcomes.

• Sales Enablement & Collateral Development: Proven experience creating effective playbooks, messaging, and sales collateral that empower field teams.

• Cross-Functional Leadership & Influence: Ability to collaborate with, influence, and drive decisions among diverse stakeholders across engineering, product, sales, marketing, and executive leadership.

• Executive Communication & Storytelling: Masterful ability to craft and deliver compelling narratives to executive audiences, articulating technical concepts and business value with clarity and impact.

• Data Analysis & KPI Management: Proficiency in defining, tracking, and optimizing key performance indicators (KPIs) to measure GTM effectiveness and drive continuous improvement.

• Enterprise Software Market Acumen: Strong understanding of enterprise sales cycles, customer challenges, and market dynamics within the technology sector.

Preferred Skills:

• Product Marketing Management: Experience in product marketing roles with a focus on launching and scaling enterprise software products.

• Management Consulting Background: Experience from a top-tier strategy consulting firm, with a structured problem-solving approach.

• Channel Partner Enablement: Experience developing strategies and programs for channel partners in the enterprise technology space.

• Analyst Relations: Experience engaging with industry analysts (e.g., Gartner, Forrester) to shape market perception.

• Global Market Experience: Familiarity with tailoring GTM strategies for diverse international markets.

📝 Enhancement Note: The extensive experience requirement and the blend of strategic thinking with GTM execution strongly suggest a senior-level role. The emphasis on AI/ML, LLMs, and data infrastructure indicates a need for technical acumen in addition to strategic and operational skills. The "10+" years of experience is typical for Director-level roles in tech.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• GTM Strategy Frameworks: Examples of developed or contributed-to Go-to-Market strategy frameworks, including market segmentation, target audience identification, and channel strategy.

• Value Proposition Case Studies: Demonstrations of how complex technical features were translated into clear customer value propositions and compelling solution narratives.

• Sales Enablement Collateral Examples: Samples of playbooks, messaging guides, pitch decks, or competitive battlecards created to empower sales teams.

• KPI Dashboards & Performance Analysis: Visualizations or examples of KPIs tracked for GTM initiatives, along with insights derived from performance analysis and optimization recommendations.

• Cross-Functional Project Leadership: Evidence of leading or significantly contributing to cross-functional projects that required alignment and execution across multiple departments.

• Executive Narrative Examples: Samples of executive-level presentations or communications that distill complex technical topics into clear business strategies and outcomes.

Process Documentation:

• GTM Strategy Design: Documentation outlining the process for designing and validating a comprehensive Go-to-Market strategy, including market research, competitive analysis, and stakeholder input.

• Value Proposition Development: A defined process for identifying, articulating, and validating customer value propositions based on product capabilities and market needs.

• Sales Enablement Program Rollout: A systematic approach for developing, deploying, and measuring the effectiveness of sales enablement programs and collateral.

• KPI Definition & Tracking: A robust process for defining relevant KPIs, establishing tracking mechanisms, and conducting regular performance reviews to inform strategic adjustments.

• Cross-Functional Alignment & Communication: Documented processes for ensuring alignment and effective communication between product, engineering, marketing, and sales teams on GTM initiatives.

📝 Enhancement Note: For a role at this level, a portfolio demonstrating strategic thinking, GTM execution, and cross-functional leadership is critical. Candidates should be prepared to showcase examples of their work that highlight their ability to translate technical product capabilities into commercial success, a key requirement for operations-focused GTM roles.

💵 Compensation & Benefits

Salary Range: $211,000 - $338,000 USD annually.

Benefits:

• Flexible Time Off: Generous paid time off policy to support work-life balance.

• Wellness Resources: Comprehensive wellness programs and resources to support employee health and well-being.

• Company-Sponsored Team Events: Opportunities for team building and social engagement through company-organized events.

• Incentive Pay: Eligibility for performance-based incentive pay, tied to individual and company goals.

• Equity: Potential for stock options or equity grants, aligning personal success with company growth.

• Health, Dental, and Vision Insurance: Standard comprehensive health benefits package.

• Retirement Savings Plan: 401(k) plan with potential company match.

• Professional Development: Opportunities for training, conferences, and certifications to enhance skills.

Working Hours: Standard 40 hours per week, with the expectation of flexibility and availability to meet business needs, particularly during critical GTM launches or client engagements.

📝 Enhancement Note: The salary range provided is competitive for a Director-level role in the Santa Clara, California tech hub, reflecting significant experience and strategic responsibility. The inclusion of incentive pay and equity suggests a performance-driven culture where contributions directly impact compensation. The "40 hours" is a baseline, but Director roles often require more flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Data Storage / Enterprise Software / AI Infrastructure. Everpure operates at the forefront of reshaping the data storage industry, with a strong focus on integrating Artificial Intelligence to redefine enterprise data utilization.

Company Size: The job description does not specify company size, but the mention of a "global go-to-market motion" and "international sales teams" suggests a medium to large enterprise.

Founded: The company was founded by individuals who believe in leading with innovative thinking and growing along with their team. The mention of "Fortune's Best Workplaces in Technology™" and "certified as a Great Place to Work®!" indicates a strong positive culture.

Team Structure:

• AI Product Line Focus: The role is embedded within a strategic initiative focused on Everpure's AI Product Line.

• Cross-Functional Collaboration: This role requires close partnership with Product Management, Engineering, Sales, and Marketing teams, indicating a matrixed or highly collaborative reporting structure.

• Global Reach: The role is responsible for a "global go-to-market motion," implying interaction with regional sales leaders and international teams.

• Reporting: While not explicitly stated, a Director-level role typically reports to a VP or SVP within Product, Marketing, or Sales Operations.

Methodology:

• Data-Driven Decision Making: The emphasis on defining and tracking KPIs suggests a data-driven approach to GTM strategy and performance management.

• Value-Centric Approach: The core responsibility of translating technology into customer value highlights a focus on outcome-oriented solutions.

• Agile & Iterative Development: The need to "turn ambiguous market opportunities into clear growth priorities" and "drive cross-functional decisions" points towards an agile and iterative methodology in strategy development and execution.

Company Website: https://www.pentair.com/ (Note: The provided URL is for Pentair, which may be the parent company or a related entity. The job description mentions "Everpure" and "Pure Storage" in relation to benefits. It's crucial for candidates to verify the correct company website and brand identity.)

📝 Enhancement Note: The company culture appears to be innovation-driven, people-centric, and focused on growth. The strong emphasis on collaboration and achieving measurable business outcomes is characteristic of successful GTM operations within tech companies. The mention of "Everpure" and "Pure Storage" could indicate a rebrand or a specific division, requiring candidate due diligence.

📈 Career & Growth Analysis

Operations Career Level: Director, Product Strategy, with a GTM focus. This is a senior leadership position responsible for shaping and executing market strategies for a critical product line. It sits at the intersection of product, sales, and marketing.

Reporting Structure: The role reports to a senior leader (likely VP or SVP) within the organization, overseeing product strategy or GTM. It requires influencing and collaborating with global sales leaders, solutions consultants, and enterprise customers.

Operations Impact: This role has a direct and significant impact on revenue generation and market share for the AI product line. By architecting the GTM blueprint and empowering the field, the Director directly influences sales velocity, customer adoption, and commercial success. The role is instrumental in translating technical innovation into tangible business outcomes.

Growth Opportunities:

• Strategic Leadership Expansion: Potential to lead broader product strategy initiatives or expand GTM responsibilities across multiple product lines as the AI portfolio matures.

• Executive Visibility & Influence: Opportunity to gain significant exposure to executive leadership and influence long-term company strategy through high-impact GTM planning and execution.

• Domain Specialization: Deepen expertise in cutting-edge AI technologies and their application in enterprise data infrastructure, becoming a recognized thought leader in the field.

• Mentorship & Team Building: Opportunity to build and mentor a team focused on AI product strategy and GTM execution, developing future leaders.

• Advancement to VP Level: Successful execution in this role can pave the way for promotion to VP of Product Strategy, VP of GTM, or similar senior leadership positions.

📝 Enhancement Note: This role offers a clear path for career advancement within product strategy and GTM leadership. The focus on a high-growth area like AI provides opportunities for specialized expertise development and significant organizational impact, making it an attractive position for ambitious operations professionals.

🌐 Work Environment

Office Type: Primarily an in-office environment, requiring the candidate to work from the Santa Clara, CA office. This suggests a culture that values in-person collaboration, team cohesion, and spontaneous idea exchange.

Office Location(s): Santa Clara, California. This is a prime location within Silicon Valley, offering access to a rich ecosystem of technology companies, talent, and innovation.

Workspace Context:

• Collaborative Hub: The on-site requirement implies a workspace designed to foster collaboration, with meeting rooms, common areas, and proximity to colleagues across different functions.

• Technology-Rich Environment: As a leading tech company, expect access to modern tools, high-performance computing resources, and state-of-the-art infrastructure necessary for AI product development and GTM support.

• Cross-Functional Interaction: The role will involve significant interaction with product managers, engineers, sales teams, and marketing professionals, facilitating a dynamic and intellectually stimulating work environment.

Work Schedule: While the standard is 40 hours per week, the nature of a Director-level strategic role, especially in a fast-paced AI product line, often requires flexibility. Expect periods of intense work, particularly around product launches, GTM planning cycles, and key customer engagements, with the expectation of meeting business needs.

📝 Enhancement Note: The on-site requirement in Santa Clara emphasizes a commitment to a traditional office-based culture, which can be beneficial for team building and rapid collaboration. Candidates should be prepared for this environment and understand its implications for daily work life and team dynamics.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct an initial screening call to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A deeper dive into your experience, strategic thinking, GTM knowledge, and AI domain expertise. Expect questions about past successes and challenges.

• Cross-Functional Interviews: Interviews with peers and leaders from Product Management, Engineering, Sales, and Marketing to evaluate collaboration skills and ability to influence across departments.

• Executive Interview: A final interview with a senior leader (VP/SVP) to assess strategic vision, leadership potential, and alignment with company objectives.

• Portfolio Review/Case Study: A potential component where candidates present their portfolio, detailing specific GTM strategies, value proposition development, or a case study on a past project's success.

Portfolio Review Tips:

• Quantify Impact: For each example, clearly articulate the problem, your solution, your role, and the measurable business outcomes (e.g., revenue growth, adoption rates, market share increase). Use specific numbers and KPIs.

• Showcase Strategic Thinking: Demonstrate your ability to analyze market opportunities, develop strategic plans, and translate them into actionable GTM motions.

• Highlight Cross-Functional Collaboration: Provide examples where you successfully partnered with diverse teams to achieve a common goal. Emphasize your communication and influence skills.

• Tailor to AI & Enterprise: Focus on examples relevant to enterprise software, data infrastructure, and ideally, AI/ML products, showcasing your understanding of the domain.

• Structure for Clarity: Organize your portfolio logically, perhaps by GTM pillar (strategy, enablement, value prop) or by project. Be prepared to walk through your most relevant work concisely.

Challenge Preparation:

• GTM Strategy Case Study: Be prepared to outline a GTM strategy for a hypothetical new AI product or feature, considering market entry, target customers, messaging, sales enablement, and key metrics.

• Value Proposition Development Exercise: Practice articulating the value of a complex AI technology to different stakeholder personas (e.g., CIO, Head of Data Science, Sales Leader).

• Problem-Solving Scenarios: Anticipate questions about how you would address challenges like low customer adoption, competitive threats, or internal misalignment regarding the AI product line.

📝 Enhancement Note: The interview process will likely be multi-stage and rigorous, designed to assess strategic acumen, GTM expertise, and the ability to operate effectively in a collaborative, fast-paced environment. A well-curated portfolio showcasing quantifiable results and strategic thinking is crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• CRM (e.g., Salesforce): For managing customer data, sales pipelines, and GTM performance tracking. Proficiency in understanding CRM data structure and reporting is essential.

• Sales Enablement Platforms (e.g., Highspot, Seismic, Showpad): Tools for delivering and managing sales collateral, training content, and playbooks.

• Product Management Tools (e.g., Jira, Confluence, Aha!): For understanding product roadmaps, feature specifications, and collaborating with product teams.

• Collaboration Suites (e.g., Microsoft Teams, Slack, Google Workspace): For daily communication, project management, and cross-functional collaboration.

Analytics & Reporting:

• Business Intelligence Tools (e.g., Tableau, Power BI, Looker): For creating dashboards, analyzing GTM performance metrics, and generating insights for optimization.

• Spreadsheet Software (e.g., Microsoft Excel, Google Sheets): For data manipulation, analysis, and ad-hoc reporting.

• Web Analytics Tools (e.g., Google Analytics): For tracking website performance and engagement related to GTM campaigns.

CRM & Automation:

• Marketing Automation Platforms (e.g., Marketo, HubSpot, Pardot): Understanding how marketing automation supports GTM efforts and lead generation.

• Project Management Software (e.g., Asana, Monday.com): For managing GTM initiatives, tracking progress, and coordinating tasks.

• Internal Documentation & Wiki Tools (e.g., Confluence, Notion): For documenting GTM strategies, playbooks, and best practices.

📝 Enhancement Note: While specific tool names aren't listed, the nature of the role implies proficiency with standard enterprise SaaS tools, particularly CRM and BI platforms. The emphasis on GTM and sales enablement suggests familiarity with related software categories.

👥 Team Culture & Values

Operations Values:

• Innovation: Encouraging critical thinking, challenging the status quo, and pioneering new approaches in AI product strategy and GTM.

• Growth: Commitment to personal and professional development, supporting employees in growing with the company and contributing to meaningful work.

• Collaboration & Teamwork: Fostering a supportive environment where team members build each other up, prioritize collective success over individual ego, and work synergistically.

• Customer Focus: Deeply understanding customer needs and translating technology into tangible business value that drives customer success.

• Data-Driven Excellence: Utilizing data to inform strategic decisions, measure performance, and continuously optimize GTM efforts.

• Agility & Responsiveness: Adapting quickly to market changes and customer feedback, driving efficient execution in a dynamic environment.

Collaboration Style:

• Cross-Functional Integration: The role requires seamless collaboration with Product, Engineering, Marketing, and Sales, emphasizing shared goals and open communication.

• Strategic Partnership: Working closely with sales leaders to understand field needs and co-develop effective GTM strategies and enablement programs.

• Feedback-Oriented: A culture that encourages constructive feedback exchange to refine strategies, improve collateral, and enhance sales effectiveness.

• Knowledge Sharing: Promoting the sharing of insights, best practices, and market intelligence across teams to foster collective learning and drive innovation.

📝 Enhancement Note: The company culture values innovation, personal growth, and strong teamwork, which are essential for a role that bridges technical product development with market execution. The emphasis on collaboration is key for success in this cross-functional position.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Complex AI: Effectively communicating the value of advanced AI capabilities (LLMs, agents) to diverse enterprise audiences and sales teams.

• Global GTM Scalability: Designing and executing a GTM strategy that is effective across varied international markets with different customer needs and competitive landscapes.

• Cross-Functional Alignment: Ensuring consistent messaging, strategy, and execution across multiple departments (Product, Eng, Sales, Mktg) with potentially competing priorities.

• Market Dynamics: Navigating the rapidly evolving AI landscape and competitive pressures to maintain market differentiation and leadership.

• Field Adoption: Driving adoption of new AI products and sales motions within a global sales force that may have established practices.

Learning & Development Opportunities:

• Deep Dive into AI Innovations: Gain unparalleled exposure to cutting-edge AI technologies and their practical applications in enterprise data infrastructure.

• Strategic GTM Leadership: Develop advanced skills in architecting and executing complex global GTM strategies for disruptive technologies.

• Executive Presence & Influence: Hone communication and leadership skills through regular interaction with senior executives and high-profile customers.

• Industry Recognition: Opportunity to become a recognized expert and thought leader in the enterprise AI infrastructure space through industry events and publications.

• Mentorship: Access to senior leaders and potential for formal or informal mentorship to guide career development.

📝 Enhancement Note: This role presents significant challenges but also offers immense growth potential, particularly for individuals passionate about AI and GTM strategy in the enterprise technology sector. Successfully navigating these challenges will lead to substantial professional development.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for developing a global Go-to-Market strategy for a new enterprise AI product. What are the key components and how do you ensure alignment across departments?"

• "How would you translate the capabilities of LLM orchestration and AI agents into clear, quantifiable business value for enterprise customers in the data storage industry?"

• "Imagine our AI product line is facing lower-than-expected adoption in a key international market. What steps would you take to diagnose the issue and adjust our GTM approach?" Company & Culture Questions:

• "Based on what you know about Everpure and the AI market, what do you see as our biggest GTM opportunity and challenge for our AI product line?"

• "How do you foster collaboration and ensure buy-in from engineering, product, and sales teams when developing a new GTM strategy?"

• "Describe a time you had to influence senior leadership to adopt a new strategic direction for a product or GTM initiative. What was the outcome?" Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly articulate the business problem, your strategic approach, your specific contributions, the tools/processes used, and the quantifiable results (revenue, adoption, market share).

• Focus on Impact: Emphasize the ROI and business outcomes achieved. Use metrics generously and explain their significance.

• Demonstrate Strategic Thinking: Show how you analyzed the market, identified opportunities, and developed a cohesive plan.

• Highlight Cross-Functional Skills: Provide examples of how you collaborated with and influenced different teams to drive success.

• Be Prepared for Deep Dives: Anticipate questions about the nuances of your projects, the challenges you faced, and alternative approaches you considered.

📝 Enhancement Note: Interview preparation should focus on demonstrating strategic thinking, GTM execution expertise, strong AI domain knowledge, and exceptional cross-functional leadership. Quantifiable results and clear articulation of value are paramount.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided application link on the greenhouse.io platform.

• Portfolio Customization: Curate your portfolio to highlight specific examples of GTM strategy development, value proposition articulation for complex tech products (especially AI/ML), and sales enablement collateral. Quantify your achievements with specific metrics.

• Resume Optimization: Tailor your resume to emphasize experience in enterprise software, data infrastructure, AI/ML, product strategy, and GTM execution. Use keywords from the job description such as "Go-to-Market Strategy," "AI Product Strategy," "Sales Enablement," and "KPI Optimization."

• Interview Preparation: Practice articulating your experience using the STAR method (Situation, Task, Action, Result), focusing on strategic impact and cross-functional collaboration. Be ready to discuss AI market trends and your strategic vision.

• Company Research: Thoroughly research Everpure (and any related entities like Pure Storage), its AI product offerings, its market position, and its stated company values to demonstrate genuine interest and cultural alignment.

⚠️ 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.