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Director, Workflow Strategy & GTM

Job in Provo, Utah County, Utah, 84601, USA
Listing for: GC AI
Full Time position
Listed on 2026-07-17
Job specializations:
  • IT/Tech
    IT Business Analyst, Business Systems & Technology Analysis
  • Business
    Business Systems & Technology Analysis
Job Description & How to Apply Below

GC AI Opportunity

GC AI is the fastest-growing and most trusted legal AI platform for in-house legal teams. We're building the future of legal work, and we're doing it fast. You'll join at a pivotal moment—when decisions matter, impact is immediate, and the runway to shape your career is wide open. We're a high-performing team where you'll have real ownership and influence from day one.

More than 1,800 companies use GC AI to drive their business forward, including 150+ public companies, 25+ unicorns, and brands such as News Corp, Miro, Bass Pro Shops, Snyk, Skims, Liquid Death, Vercel, Zscaler, and TIME.

We've 10x'd revenue in 12 months, raised a $60 million Series B ($555 million valuation), and are growing faster than ever. We are backed by incredible investors, including Scale Venture Partners, Northzone, Sound Ventures, and Guillermo Rauch, CEO of Vercel.

If you thrive when the stakes are high and the path isn't paved, you'll love it here. Our six guiding principles are: 1% better every day, customer obsession, ship today, find a way, care deeply, and own it completely. Come shape the future of legal work with us.

About

The Role

You'll be responsible for driving expansion revenue through our consumption based pricing model designed to be a strong option to include business owners as potential users. You will work product, marketing, and sales, owning the strategy and execution for driving consumption-based revenue through AI workflow adoption.

You'll design standardized workflows for business users, work with engineering to build them, position them for sales, and help close and expand deals around them. You'll operate pre-sales and post-sales and create a customer maturity adoption curve that will help move our current customers to a more AI first approach with more of their business users leveraging GC AI.

What You'll Do
  • Own consumption revenue strategy:
    Define and execute the playbook for driving non-attorney user adoption and consumption-based revenue across new and existing customers

  • Design AI workflows:
    Scope and design standardized legal workflows (contract requests, approval flows, M&A diligence, compliance checks) that non-attorney business users can self-serve through GC AI's platform, API, and connectors (Slack, Teams, and any other surface)

  • Inform product of business user needs:
    Partner with Product and Engineering to build these workflows into the platform, translating customer needs and market signal into product requirements

  • Drive go-to-market:
    Shape positioning, messaging, and sales enablement for the workflow and consumption motion; help the pre-sales team articulate the vision and close expansion deals

  • Expand the install base:
    Work with existing customers (~1,800) to shift their thinking on who within their organization should be using GC AI and how, driving expansion revenue through non-attorney user growth

  • Build the feedback loop:
    Stay close to customers to continuously iterate on workflow design, deployment approach, and packaging based on real adoption data and usage patterns

  • Track and own KPIs:
    Non-attorney user count, consumption revenue, workflow adoption rates, and expansion revenue tied to this motion

What You've Done
  • Built and led a team that designed, packaged, and sold AI-enabled workflows to enterprise customers, taking them from concept through deployment and adoption

  • Stood up a Center of Excellence or similar cross-functional enablement function, defining best practices, building demo assets, and creating scalable content that GTM teams actually use

  • Operated as a founding or early solutions engineer on strategic deals, personally supporting a disproportionate share of revenue (e.g., 50%+ of SE-assisted deals) before moving into leadership

  • Taken a product capability that required heavy customization and hand holding and turned it into a standardized, opinionated offering that scales with less support

  • Partnered directly with product and engineering teams to influence what gets built, translating field signal into features that drive adoption

  • Led process improvement initiatives that delivered measurable business outcomes (not just efficiency gains, but revenue impact or cost…

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