Enterprise Data & AI Evangelist, Data Management

THE ROLE

The Enterprise Data & AI Evangelist is the senior technical voice with customers, partners, analysts, and our own field organization. The role sits where the customer, product, and market meet. You'll spend your time with enterprise technology leaders, then carry what you learn back into what we build.

This is a senior individual-contributor role: no direct reports, and real influence — over how the market understands data intelligence, which opportunities we win, and what ships next. You'll lead through credibility rather than headcount, as part of a globally distributed team working across time zones and cultures.

You don't just explain technology. You change how organizations think about it, find where it creates value, and help make it real.

WHAT YOU'LL DO

• Customer & market engagement
• Build and hold senior executive relationships across strategic enterprise and global accounts, up to board level.
• Lead strategic technology discussions, positioning long-term vision in a customer-relevant context — and challenging their thinking when it needs challenging.
• Act as a trusted advisor on large-scale deployments, drawing on real-world experience rather than pitching.
• Expand engagement beyond active deals, where broader customer strategy actually gets set.
• Sales & pre-sales leadership
• Provide executive-level technical leadership on complex sales campaigns, including escalations.
• Partner with Sales and Solutions Engineering as a critical stakeholder in account strategy.
• Lead high-value customer moments: executive briefings, QBRs, and strategic workshops.
• Product & engineering influence
• Act as the conduit between customers and engineering, feeding back requirements, use cases, and priorities.
• Partner with Product on roadmap alignment and new product innovation, including validation with key customers.
• Assess where customer direction and Everpure's long-term plans align — and say so when they don't.
• Represent Everpure as a spokesperson with analysts, press, and industry forums.
• Drive market presence through conferences, webinars, training, blogs, and social.
• Develop the narratives and demos the whole field can use — the ones that make us a recognized leader in Enterprise Data & AI.
• Cross-functional leadership
• Collaborate across Engineering, Product, Sales, and Customer Success to deliver aligned outcomes.
• Support and mentor the broader field technical community.
• Contribute to global initiatives and special projects.

WHAT YOU BRING

• 15+ years in enterprise data, analytics, or AI, including time in a senior technical, architectural
• Significant time in large-scale enterprise environments, ideally with customer-side exposure: you've deployed and run complex technology at scale, not only sold it.
• Experience engaging C-level stakeholders and influencing board-level conversations.
• A track record working across pre-sales, product, and customer environments.
• Analyst relations, press engagement, or industry representation is advantageous.
• Technical & commercial capability
• Deep, current expertise across modern data platforms, cloud architecture, machine learning, generative AI, and agentic systems.
• Strong business acumen: you understand how large enterprises make technology decisions, and you can translate technology into measurable business outcomes.
• Experience shaping product direction from customer and market insight.
• The ability to hold long-term strategic thinking and near-term commercial priorities at the same time.
• Exceptional storytelling, presentation, and executive presence, with the emotional intelligence to read a room.
• Credibility built quickly with senior stakeholders — and held with the engineers and architects in the same room.
• Strong influence without authority in a matrixed, non-hierarchical organization.
• Collaborative and globally minded, comfortable across time zones and cultures.
• Personal attributes
• Driven by impact and outcomes, and competitive about them.
• Comfortable challenging the status quo, inside the company and outside it.
• Curious and forward-looking — you follow emerging technology because you want to, not because the job asks for it.
• Willing to get hands-on: prototype something, whiteboard an architecture, dig into a technical problem, jump into a workshop.
• Resilient and adaptable in a fast-paced, customer-facing role with roughly 25% travel.

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