The team had outpaced the operations.

TeamBuildr is the strength-and-conditioning platform behind 5,500+ organizations, from high schools to the Denver Nuggets. The company has scaled from a small bootstrapped business into a $10M+ enterprise without taking outside capital. The marketing team grew the same way: organically, by training in marketers from inside the building rather than hiring senior operators from outside.

That model worked. Until it didn't. As TeamBuildr's customer base moved from individual coaches into bigger institutions and pro organizations, the company needed marketing operations that could match the new buyer. The team hadn't caught up. Top-of-funnel projects kept getting added and falling off the priority list. Months of backlog accumulated. The way the team worked had grown organically too, and it had reached its ceiling.

I was brought in to lead the transition.

The work, in three threads

This isn't a credential build or a methodology project. It's a transition of a marketing operations team that needs to function at a different altitude, with a different shape, and with AI integrated into how the work gets done.

• Reshape the team around the skills already in the building. TeamBuildr had trained its marketers from the inside, which meant the team's actual capabilities didn't map cleanly to a standard marketing org chart. The work was to reorganize around what people are genuinely good at, not what their titles say. Flatter architecture. New roles, new jobs, new accountability structures. Done in the first few weeks.
• Build AI into marketing rules and practice. Not “use ChatGPT more.” Building AI into the team's actual workflows so every team member can ship fast while staying inside the brand's design and editorial standards. AI as guardrails: the team produces more, faster, and the brand doesn't drift. The first wave of AI workflows is already in pilot. The pipeline of work that had been stuck in backlog is moving again.
• Coach the new leadership layer. A reorganized team with AI workflows is useless if leadership doesn't know how to wield the tools. The third thread is direct coaching of the new leadership tier: how to set priorities now that production speed has changed, how to hold standards across AI-assisted work, how to manage a team where output capacity isn't limited by hours anymore.

Why this matters now

Every marketing team in a growing company is going to face this transition. The teams that grew organically and bootstrapped their way to scale, especially. The way the work used to get done doesn't fit the new shape of the business, and AI is changing the math on what a small team can produce. Most companies treat that as two separate problems: reorg first, then introduce AI later, or vice versa. They're the same problem.

The work at TeamBuildr is to treat them as one transition: rebuild the team's shape and rebuild how the team uses AI, in the same engagement, with the leadership trained to run the result.

Where it is now

• Team reorganized and rebuilt around existing skills: new roles, new jobs, new accountability structures
• First wave of AI workflows in production
• Months of backlogged top-of-funnel work moving through the pipeline
• Leadership tier in active coaching on how to operate the new system
• Engagement ongoing

The transfer move, on a different scale

This isn't a decade-long arc. It's a transition of one function inside a growing company. But the move is the same as the one I keep doing: take what's happening organically, in a way that depends on specific people, and turn it into how the work gets done. Fast enough to keep up with where the business is going. Structured enough that it doesn't break under the next stage of growth.

AI is the leverage that makes the math work. The team doesn't grow proportionally to the work. The work scales because the team has guardrails and tools that compound their effort, and leadership that knows how to use them.

“We grew our marketing team the same way we grew the business: organically, from the inside. Shane came in to help us make the next leap. The reorg, the AI workflows, the coaching of our new leadership, he's doing all three in parallel, and the team is shipping work that was stuck for months.”