Senior Enterprise Data & AI Evangelist

Candidate; Santa Clara (CA); In loco; USD 192.000 - 307.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible time off

Wellness resources

Company-sponsored team events

Descrizione del lavoro

Everpure is seeking a senior Enterprise Data & AI Evangelist to be the technical voice for customers, partners, and analysts. No direct reports, but influential across time zones and cultures. You will connect customer insights with product and market opportunities, driving credible, long-term value.

The role sits at the intersection of customer needs, product strategy, and market dynamics, with travel ~25% and an emphasis on strategic storytelling to shape data intelligence initiatives.

Competenze

• 15+ years in enterprise data, analytics, or AI, including senior technical leadership.
• Experience engaging C-level stakeholders and influencing board-level conversations.

Mansioni

• Engage with customers and markets at senior levels.
• Build executive relationships across global accounts, up to board level.
• Lead strategic technology discussions and align roadmaps with customer strategy.
• Act as trusted advisor on large-scale deployments with real-world experience.
• Expand engagement beyond active deals to shape customer strategy.
• Provide executive-level technical leadership on complex sales campaigns.
• Partner with Sales and Solutions Engineering on account strategy.
• Lead high-value customer moments: executive briefings, QBRs, workshops.
• Bridge customers and engineering to capture requirements and priorities.
• Collaborate with Product on roadmap alignment and new product ideas.

Conoscenze

Enterprise data

Analytics

AI

Executive engagement

Storytelling

Descrizione del lavoro

Everpure is seeking a senior Enterprise Data & AI Evangelist to be the technical voice for customers, partners, and analysts. No direct reports, but influential across time zones and cultures. You will connect customer insights with product and market opportunities, driving credible, long-term value.

The role sits at the intersection of customer needs, product strategy, and market dynamics, with travel ~25% and an emphasis on strategic storytelling to shape data intelligence initiatives.