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
Top Skills
What We Do
Verdigris is an artificial intelligence IoT platform that makes buildings smarter and more connected while reducing energy consumption and costs. By combining proprietary hardware sensors, machine learning, and software, Verdigris “learns” the energy patterns of a building. Their AI software produces comprehensive reports including energy forecasts, alerts about faulty equipment, maintenance reminders, and detailed energy usage information for each and every device and appliance. Verdigris offers a suite of applications that gives building engineers a comprehensive overview, an “itemized utility bill”, powerful reporting, and simple automation tools for their facility. For more information, visit www.verdigris.co.









