Head Of Marketing (Zero-To-One, Ai-Native)

At Verdigris, our mission is to sustain and enrich human life through responsive energy intelligence. As AI accelerates global energy demand, we envision a future where Verdigris unlocks data center efficiency, drives carbon-neutral electricity, and enables intelligent energy systems for humanity's benefit.

If you're excited to build the GTM system for a company at the intersection of AI infrastructure and energy intelligence, this role is for you. In your first 90-180 days, you'll establish Verdigris's canonical GTM foundation, ship AI-native workflows that create real leverage, and partner with Product and Sales to close strategic accounts. You'll work directly with leadership in a culture that values builders, clarity, and execution.

About the Role

We're looking for a Head of Marketing to build an AI-native marketing system from scratch-one that creates clarity, builds trust, and directly generates pipeline for our sales team. This role is not about producing more content-it's about designing the system by which positioning, proof, sales enablement, and demand are created and scaled from a single source of truth.

You will build this yourself. We don't have engineering support for marketing tools. You'll prototype automations, ship workflows, and prove concepts work. If you need to write a script, train a custom GPT, or deploy to Vercel-you do it.

About You

You are a builder and architect, not a manager of agencies. You think in systems and sources of truth. You're comfortable with Claude Code or Cursor. You've built from zero before-playbooks, tools, processes-not inherited them.

What This Role Is Not: This is not a demand-gen-only role, not brand-only, not a content producer role, and not a passive stakeholder position. This is a builder + architect role where you own outcomes.

How to Apply: Show us what you've built. Send us the Vercel link, or tell us about the custom GPT, automation, or tool you shipped.

What You'll Own

• Define and maintain canonical GTM texts: ICPs, personas, core narrative, value propositions, use cases, and trust/de-risking primitives
• Establish governance for what is canonical vs. derived, what updates automatically vs. requires review
• Own positioning and messaging architecture; translate product capabilities into buyer-centric outcomes
• Build and maintain case studies, proof points, ROI calculators, and a structured evidence library
• Generate and maintain sales decks, one-pagers, talk tracks, and stage-based enablement assets
• Design demand programs: targeted outbound/ABM, thought leadership, select campaigns
• Connect canonical GTM docs to downstream generation; own tooling decisions for CMS, content ops, attribution

Requirements

• 6-12 years in B2B marketing with strong product marketing DNA
• Experience in zero-to-one or early-scale environments
• Experience with technical or infrastructure-adjacent products
• Builder mentality: you've built playbooks, messaging, processes, or tools from scratch
• Systems thinker: you distinguish between one-off assets, reusable templates, and canonical sources of truth
• Comfort with Claude Code, Cursor, or similar AI coding environments-you can prototype without engineering support
• You've built AI-native marketing workflows: content pipelines, research automation, or self-updating enablement
• You've personally built automations (Zapier, Make, n8n, scripts) or trained custom GPTs/Claude projects

Nice to Have

• Experience marketing to data center, cloud infrastructure, or enterprise IT buyers
• Background in enterprise B2B sales cycles and complex buyer journeys
• Experience with energy, sustainability, or building technology sectors
• Previous experience building canonical content systems or single-source-of-truth frameworks

This is your chance to own marketing at a company shaping the future of AI infrastructure and energy. You'll have real ownership from day one-building the systems, workflows, and positioning that drive our go-to-market success.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.