For CEOs and CROs at $10M to $350M B2B SaaS
Make the next GTM betwithout betting your seat.
I help CEOs and CROs at growth-stage SaaS pick their next GTM bets, pressure-test them, and prove them before the board meeting.
Partnerships I've launched or run with
- Amazon
- Meta
- TikTok
- Walmart
- Mercado Libre
Your playbook didn't stop working because you got worse.
You just walked out of the board meeting. Maybe growth is slowing, rep productivity is slipping, and the ask specifically to you was to re-accelerate all of it with AI. Perhaps your partner program barely exists, and you're similarly trying to figure out how to attach AI to as many deals as possible.
I've sat in that room at a few companies, and you're not behind. Few people, if any, have this all figured out, whatever LinkedIn says. The playbook you built your career on assumed a world that has changed, and the next bet you make will be a visible one.
If that's not your week, this partnership may not be for you, and that's totally fine.
Things that looked like the answer and weren't
A partner program
Partners never got a reason to invest in you, so they didn't.
An AI tool stack
Each tool promised 10x, adoption landed in the single digits, and nobody can tie the gains to revenue.
AI pilots
They were measured on vibes ("feels faster"), so finance won't fund round two.
"Clean the data first"
It kept AI on the roadmap and out of production, quarter after quarter.
Chasing Google or Meta
You got a logo, a silent partner manager, or nothing.
An enablement hire or platform
It became a training calendar instead of a way to scale what your best people know.
Hiring to backfill
You hired against a job description written for the old version of the job.
None of these were dumb bets. Most of them were missing the same thing underneath, and none of them were pressure-tested before the money moved.
Fundamentals first. AI is the payoff.
There's a pattern I've seen in every GTM org I've worked in. Two reps, same territory, same playbook, same stack, and one consistently wins. It isn't effort. It's judgment, and the question I've been chasing for about ten years is how you scale it.
Where I've landed is that it comes from a small number of bets made well, and most of them aren't AI bets. They're the ones that make AI bets provable.
Programs that create distribution
Partner programs that give partners a real reason to invest, platform partnerships that actually get worked, and events tied to a revenue number instead of a badge count.
People and systems that scale judgment
Enablement with real programs for managers, reps and ops, hiring for the version of the job that exists now, and raising the floor of the whole team instead of cutting it.
AI where you can prove it
Once the first two are running, there's a baseline, an owner and a number finance recognizes. That's when you know what to build (your judgment layer) and what to just buy.
Six questions before any bet gets budget
Most of the bets that blow up on a revenue leader weren't bad ideas. They were committed before anyone asked a few boring questions. These are the ones I ask before a partner program, a tool, a hire or an AI pilot gets money.
- 1
What's the baseline?
If you can't say what the number is today, you won't be able to prove anything moved.
- 2
Who owns it?
One name. Not a committee, and not the vendor.
- 3
What number moves, and will finance recognize it?
Revenue per rep, partner-sourced pipeline, ramp time. Not "better insights."
- 4
What's the smallest reversible version?
A cohort, a region, one partner, one segment. Prove it small before you scale it.
- 5
What would make us stop, and when?
Write down the kill criteria and the date before you start, so stopping is a plan and not a failure.
- 6
What's the vendor actually claiming, and can they show it working somewhere like you?
If they can't, you're the case study.
My receipts, not frameworks
Numbers I owned, from inside the companies that produced them.
Partner-sourced ARR, 140% to plan, 48% of FY24 revenue
Partners acquired, team of 11, co-sell playbooks across AMER, EMEA and APAC
Global platform partnerships launched at Commerce
Rep at a retail SaaS company, 133% of quota, $1.3MM new ARR

Forrester B2B Summit, April 2026
Embracing Change: why engineering has its AI productivity story and GTM doesn't yet, and what revenue leaders can do about it.
Forrester speaker pageA talk that became a funded role
A CRO at a growth-stage vertical SaaS company used a version of my Embracing Change talk and a few follow-up conversations to define a new role on their team, then got it funded at up to $300K. He described the conversations as instrumental.
From partner to advisory client
A revenue-tech SaaS business closed its deal with a public company with my support, and later hired me as a GTM strategy advisor to expand the selling motion.
Start with a conversation. Most people do.
Working session
30 minutes, free
You bring the problem, I'll give you a straight read on where I think the leak is, and if I'm not the right person I'll tell you who is.
Book a working sessionAdvisory
Monthly retainer, starting at $5K/month
An operator in your corner who helps pressure-test every meaningful bet before the money moves, helps you keep a bet log you can share with your leadership team or board, and helps you prepare for each board meeting.
How advisory worksGTM Strategy Workshop
One day with your exec team, $25K to $50K
For when one bet deserves the whole team in the room. Most workshops start inside an advisory engagement.
About the workshopInterested in having me speak at a conference or hosting an exec dinner? See speaking.
Recent memos
Short, plain, and written to be forwarded.
AI Budgets Are Up, Returns Are Flat. In Other News, the Sky Is Still Blue!
Bain's 2026 survey found most AI savings landed in the 0 to 10% range. Here's the build-versus-buy decision that changes the math, and why your own data is the part worth owning.
7 min readCalling out the slopEnterprise AI Needs an Operating Model, Not More Agents
SAP's own course correction at Sapphire 2026 says what most revenue leaders already suspect: AI returns depend on the operating model underneath, not on how many agents you deploy.
6 min readFrom the platforms
One of the most common things I hear from CROs is that the big partners won't return the call. Here's what some of the people on the other side of that call say about working with me.
“I have worked on partner deals with Matt at multiple companies and would gladly work with him again.”

David Savelson
Global Partnerships Lead, SP-API, Amazon
“Matt's ability to structure and manage complex partnerships is truly impressive.”

Jan Gandhi
Head of Partnerships - Commerce & AdTech, Americas, Meta
“I couldn't recommend Matt more highly to any organization looking for a leader with a creative, commercial mindset.”
Linh Nguyen
Sr. Manager, Strategic Channel Partnerships, Walmart
“Matt demonstrated exceptional leadership, strategic thinking, and an unparalleled ability to bridge organizational goals with mutual success.”

Mariano Migues
Head of US Business Development, Mercado Libre
Questions people ask first
Book a 30-minute working session
Tell me what's going on. I read every one of these myself and reply by email within two business days.