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VP of Client Strategy

LinkedIn AZX Seattle, WA
Not Applicable Posted April 1, 2026 Job link
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Requirements
  • Demonstrated ability to deliver on a revenue target, from opportunity identification to close and expansion
  • Can develop and communicate a compelling transformation vision to a C-suite audience
  • Builds trust quickly with senior client stakeholders.
  • Has navigated skepticism and come out ahead
  • Thinks in systems.
  • Understands how technology, people, and process interact in real organizations
  • Strong business acumen.
  • Can model value creation, articulate risk, and make a credible investment case
  • Experience working across multiple clients or projects simultaneously, at different stages, with competing priorities
  • Track record of contributing something new: a capability, an approach, a solution that didn't exist before
  • Genuinely passionate about AI.
  • You build or vibe code on your own time, follow what's happening in the industry, and have an endless curiosity about what's possible.
  • High emotional intelligence and a learning mindset
  • Strong collaboration skills
  • Comfortable making decisions in the face of ambiguity and course correcting as needed.
  • Deep domain knowledge in one or more of our core industries: clean energy, decarbonization, real estate, logistics, utilities.
  • Experience working in or with early-stage companies or ventures
  • Familiarity with AI/ML capabilities and how they translate into business transformation (you don't need to build it, but you need to know what's possible)
  • Have been part of building something from scratch: a practice, a product, a company
  • Must be authorized to work in the United States on a full-time basis
Preferred Skills
  • Deep domain knowledge in one or more of our core industries: clean energy, decarbonization, real estate, logistics, utilities.
  • Utility experience is a strong plus: we want someone who understands the business, customer, operational, and regulatory landscape from the inside.
  • Experience working in or with early-stage companies or ventures
  • Familiarity with AI/ML capabilities and how they translate into business transformation (you don't need to build it, but you need to know what's possible)
  • Have been part of building something from scratch: a practice, a product, a company
  • Competitive early-stage startup compensation (based on capabilities, experience, and location)