Are You Uninvestable? Cassie Young, GP @ Primary Venture Partners
The New GTM Reality
Most CROs were trained for a world that no longer exists.
For the last decade, software companies could hide a lot of sins behind 80% gross margins.
Bad pricing? Annoying, but survivable.
Bloated sales process? Painful, but not fatal.
Reps spending too little time selling? Everyone complained about it, then moved on.
AI is making that tolerance disappear.
That was the core of my conversation with Cassie Young, General Partner at Primary Venture Partners. Cassie spent 15 years operating GTM teams before becoming an investor. She ran sales, marketing, and customer success. She was CRO at Sailthru before its PE exit. She later oversaw a $200M martech roll-up at Marigold.
Her superpower was not being the best VP Sales, VP Marketing, or VP CS in the room. It was having what she called a strong general manager brain. That profile is about to matter a lot more.
Because the next generation of CROs will not win by being better functional managers. They will win by understanding the financial architecture of the business and using AI to change it.
1. Boards Are Done Rewarding Effort
Cassie said something that stuck with me:
“Boards are done rewarding effort.”
That is the right framing. A lot of GTM leaders are still talking about AI like activity is the outcome.
We tested a new tool.
We improved connect rates.
We launched a pilot.
We got reps using ChatGPT.
Those things might matter. But they are leading indicators at best. The board does not care that you are trying. They care whether the math of the business is getting better. Cassie’s point was simple: the CRO has to connect AI work to the P&L.
Not three layers removed.
Directly.
If a digital sales room cuts two days off the sales cycle, do not make the board do the math. Show the impact on productivity, conversion, pipeline velocity, or cash efficiency. If an AI workflow gives BDRs better account prioritization, do not stop at meetings booked. Show how that changes ARR per rep, CAC payback, or sales capacity. If reps are using AI to write better follow-up, do not celebrate adoption. Show whether more deals move, expand, or close faster.
The executive standard has changed.
AI activity is table stakes. P&L impact is the story.
2. The PRIME Framework Is the New AI Scorecard
Cassie offered a simple framework for evaluating whether a GTM initiative actually matters.
She calls it PRIME:
Productivity: Does it increase output per person?
Retention: Does it improve gross or net retention?
Investment efficiency: Does it improve CAC payback, magic number, or burn multiple?
Momentum: Does it accelerate top-line growth?
Expense reduction: Does it take real cost out of the system?
I like this framework because it forces clarity. Most AI projects sound interesting in a demo. Very few survive contact with PRIME. If the initiative does not improve one of those five things, it probably belongs in the toy box, not the operating plan.
This is where GTM teams get into trouble. They confuse experimentation with progress. Cassie called out the pattern directly: too many companies have 50 AI initiatives, unclear owners, fuzzy goals, and no real operating model. Everyone is experimenting. No one is accountable.
That creates what I would call AI peanut butter. Spread thin everywhere. Meaningful nowhere. The better model is more centralized.
Not because every idea has to come from one team. The best systems create both central expertise and decentralized idea flow. But someone needs to make the work production-grade. Someone needs to decide which projects matter. Someone needs to translate the work into operating metrics.
At Owner, this has been a huge part of what has worked for us.
We did not ask every rep to become an AI power user. We built tools and pushed them into the surfaces reps already use. That lowered the change management tax and made the system more durable.
The question was not, “How do we get everyone to prompt better?” The question was, “How do we make the revenue system produce more with the same or better economics?”
That is the right question.
3. The Pricing Problem Got Much Harder
Traditional SaaS pricing let GTM leaders get away with being imprecise. If your gross margins were 80%, a mispriced customer was not great, but it probably was not catastrophic.
AI changes that.
Every magical feature has a cost behind it. Inference, compute, implementation, support, data work, human-in-the-loop review. The cost structure is different.
Cassie put it bluntly:
If you charge too little, you may be paying customers to use your product. If you charge too much, your competitors eat your lunch. That means pricing is no longer a packaging exercise. It is part of business strategy.
This also changes sales compensation. If a rep is paid on ARR, but ARR carries wildly different gross margin profiles across customers or products, the comp plan may be incenting the wrong behavior. A dollar of ARR is not always a dollar of value. This is where the old SaaS metrics start to creak.
ARR per employee matters, but ARR per headcount dollar may matter more. CAC payback matters, but only if CAC is measured against contribution that survives the new cost structure. Revenue growth matters, but burn multiple, gross margin, retention, and cash conversion matter more than many GTM leaders want to admit.
Kyle Poyar has been writing about this from the AI-native company perspective, including metrics like gross profit per token and ARR per dollar of headcount. John Gleeson has been pushing similar thinking in customer success with outcome-based metrics like Outcome Cost Efficiency.
The exact metrics are still being invented. That is the point. CROs cannot wait for the new benchmark report to tell them how to think. They need to pressure-test the old metrics with their CFO and ask a better question:
Does this metric still describe the business we are actually building?
4. Take Your CFO to Lunch
Cassie’s most practical advice was also my favorite:
“Take your CFO to lunch.”
Not to negotiate. To learn.
A lot of revenue leaders treat finance like an obstacle. The CFO says no to headcount. The CFO pushes back on tools. The CFO asks annoying questions about payback, cash, margin, and productivity. That mindset is a career limiter.
The CFO is not the obstacle. The CFO is the person closest to the board pressure you may not be hearing.
Where is the board nervous?
Where is cash tighter than the team realizes?
Which growth is valuable, and which growth is expensive theater?
Where does the financial model break if the GTM plan works exactly as designed?
Those are not finance questions. Those are CRO questions.
Cassie made an important distinction here. P&L fluency does not mean glancing at revenue and cost. It means understanding the full financial picture of the business. Revenue versus cash. Gross margin by product or segment. Burn multiple. CAC payback. Retention quality.
The board-level tradeoffs the CEO and CFO are already carrying. The best CROs will not ask finance to approve the GTM plan. They will build the GTM plan with finance from the beginning.
5. The Best Executives Have the Core Four
Cassie uses a framework for what separates the best executives from everyone else.
She calls it the Core Four:
P&L fluency and command
First team thinking
Pulse on macro
Strategic network
This is a sharp executive scorecard.
P&L fluency is the topic we have already covered. You need to understand the math of the business.
First team thinking comes from Patrick Lencioni’s idea that your first team is the most senior team you sit on, not the team you manage. For a CRO, that means you are an executive of the company before you are an advocate for sales. This is hard for revenue leaders. Comp plans often train the opposite behavior.
Cassie gave a great example. A VP Sales wanted to lower quotas late in the year because marketing-sourced pipeline had dried up seasonally. That may have helped the sales team feel better. It did not solve the business problem.
The first-team question would have been different:
How do we help create pipeline now?
What can sales do to cover the gap?
What spiff, outbound motion, or customer motion gives the company the best shot?
That is executive thinking.
Pulse on macro is the ability to read what is changing in the world and translate it into your playbook. Not just reading the news. Synthesizing it.
What does AI change about our buyer?
What does pricing pressure change about our packaging?
What does the rise of agents change about our product strategy?
What does the market now expect from our team?
Strategic network is the final piece. Cassie called it your “bat phone.” The people you call when the playbook is being rewritten in real time. That matters more now because nobody has done this before. If your network is only people inside your exact function, your learning rate is too slow. I learn more about GTM AI from product and engineering conversations than from most sales conversations right now.
The future hits those teams first.
Then it comes for us.
6. AI Fluency Is Now Executive Fluency
This was one of the stronger parts of the conversation. Cassie’s bar for executives is higher than most people want to hear. Every executive should be able to do basic work in Claude Code or equivalent tools. They should understand MCPs, agents, tool use, context, rate limits, and where these systems break. Not because every CRO needs to become an engineer. Because every company now has to sell, implement, support, and compete in an AI-native world.
If you do not understand how these tools work as a user, your imagination is capped.
You will not know what to ask from product.
You will not know what customers are struggling with.
You will not know which workflows can be rebuilt.
You will not know the difference between a toy and a system.
I’ve felt this directly.
The most valuable AI work I have done has not come from reading about AI. It has come from building with it, getting stuck, learning why context windows break, restarting workflows, connecting tools, and slowly developing native intuition. That intuition changes how you see the org.
You stop asking, “Which AI tool should we buy?” You start asking, “Which part of the operating system should no longer exist in its current form?” That is a much better question.
The New CRO Mandate
The CRO job is getting bigger. Growth is still the tip of the spear. That will not change. But growth alone is no longer enough. The next great CRO needs to be part operator, part GM, part systems builder, part financial thinker.
They need to understand pricing, margin, cash, retention, AI workflow design, customer value, and board-level tradeoffs. They need to know when to cut cost and when to pull headcount forward because the unit economics got better. They need to teach their teams why the goalposts are moving. They need to partner with the CFO before asking for resources. They need to use the tools enough to have real judgment.
Cassie’s line that sums it up best:
“You’re out of excuses.”
That is the moment we are in.
The bloat era is over. The GM-minded CRO era is starting.
Take your CFO to lunch. Bring your RevOps leader. Bring the person building your AI workflows. Then ask the only question that matters:
Where does the math of our business need to get better, and what are we going to rebuild first?
I love the framing around AI peanut butter and completely agree that the emphasis on AI in GTM needs to shift from "Oh cool, AI" to "Oh cool, X increased (because of AI)". Thanks for sharing Kyle.
Great insights!