Nov 20, 2024 · 26m · saastr
How to Successfully Bring AI Products to Market at Scale with GitHub’s CRO
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this SaaStr keynote, GitHub Chief Revenue Officer Elizabeth Pemeril reveals the strategic, cultural, and operational frameworks used to scale GitHub Copilot from internal dogfooding into a multi-billion-dollar enterprise AI business.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. How this is scored →
Jason as informed peer 0.0 Guest teaching 0.0 Guest disagreement 0.0 Jason pushing back 0.0
speaking balance: gold is Jason, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 10:40 Challenging customer assumptions during early AI adoption cycles
In a solo presentation setting, Pemeril describes the friction of pushing back on customer misunderstandings and navigating uncomfortable conversations about AI adoption.
Hardest push from Jason ▶ 15:30 Refusing unbounded enterprise pilot requestsBecause this episode is a solo presentation without host pushback, this moment captures Pemeril describing GitHub's firm refusal to entertain unstructured enterprise POCs.
Biggest teaching moment ▶ 8:10 Mental model for AI SKU packaging and pricing strategyPemeril provides an educational breakdown on deciding whether an AI capability belongs as a native feature or a standalone SKU sold to non-core platform customers.
Jason holds their own ▶ 21:00 Sharing concrete metrics on internal AI support deflectionIn place of host commentary in this keynote, Pemeril demonstrates operational mastery by quantifying how GitHub deflected 60% of support tickets through internal AI implementation.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Jason as informed peer | Guest teaching | Guest disagreement | Jason pushing back | Why |
|---|---|---|---|---|---|---|
| Being Customer Zero and Focusing on Core Problems | 0 | 0 | 0 | 0 | This segment is part of a solo keynote presentation delivered by Elizabeth Pemeril at SaaStr, with no host interaction. She explains GitHub's journey as 'Customer Zero' for Copilot and detailing their customer feedback loop re-architecture. | |
| Expanding Product SKUs and Packaging Beyond Existing Markets | 0 | 0 | 0 | 0 | Pemeril delivers a monologue explaining how non-GitHub users demanded Copilot, forcing GitHub to unbundle and create standalone SKUs for adjacent markets. | |
| Educating Enterprise Buyers and Overcoming Early Sales Discomfort | 0 | 0 | 0 | 0 | Pemeril shares enterprise sales learnings in a solo keynote, emphasizing the discomfort of having to educate early enterprise buyers on AI privacy and shifting GTM compensation to six-month plans. | |
| Navigating Legal Roadshows, Trust Centers, and AI Personas | 0 | 0 | 0 | 0 | In this solo presentation segment, Pemeril outlines GitHub Legal's global roadshow to engage customer GCs, transitioning to a self-serve Trust Center, and managing demanding enterprise POCs like Accenture's. | |
| Scaling Go-to-Market Operations and Internal AI Dogfooding | 0 | 0 | 0 | 0 | Pemeril details operational scaling, moving from bespoke demos to group regional calls, and dogfooding Copilot internally to deflect 60% of tier-one support tickets. | |
| Expanding Distribution and Enablement Through Strategic Partner Ecosystems | 0 | 0 | 0 | 0 | Pemeril describes building an enablement ecosystem for channel partners and aligning company-wide GTM strategy around three revenue plays: Land, Secure, and Accelerate. | |
| Key Takeaways for Scaling Enterprise AI Products | 0 | 0 | 0 | 0 | Pemeril concludes her solo keynote by summarizing the three pillars of scaling AI products: customer feedback loops, agile GTM teams, and scalable infrastructure. |
Statements from this episode (15)
GitHub Surpassed Two Billion Dollars in Annual Revenue
“And since those early days with 200 ish employees to today, we have thousands to now over two billion dollars in revenue.”
GitHub Copilot Reaches 77,000 Organizations and Two Million Users
“Step ahead to today, we have 77,000 organizations using GitHub Copilot and almost two million users.”
AI Products Drove 40% of GitHub's Fiscal 2024 Revenue Growth
“In the last fiscal year, our fiscal year ends in June, our AI products were 40% of our revenue growth during the period.”
Internal Usage Shaped the GitHub Copilot for Business SKU
“We brought that to market, and as we used it more, we realized we're going to need user administration features, better onboarding capabilities, SSO integration and the like. And so that wrapper became what is now the SKU we call Copilot for business.”
GitHub Captured Only 30% of Feedback Using 47-Field Templates
“Historically, the burden of customer feedback fell on our solutions engineers and our customer success architects, bless them. We would send them this incredibly long issue template and say, we're going to need a, you know, brief, 47 fields here on what the cu…”
GitHub Cut Semester Roadmap Planning From Weeks to Two Hours
“Our semester planning process, which are these sprints where we decide what we're going to work on, used to be this Weeks long thing of passing documents around, lots of like really strongly held opinion, loosely backed by data. Now we pull up our project list…”
Copilot for Business Gained Traction With Non-GitHub Enterprise Users
“The solution was we ended up shipping a Copilot for business for non GitHub enterprise users. It's been remarkably successful commercially. It's also opened up relationships to net new customers for us”
Selling Enterprise AI Requires Discomfort to Change Customer Thinking
“A learning for me was that this was the most uncomfortable I think I have been consistently in sales cycles because we had to really lean back on customers and change their thinking about what it meant to adopt an AI product. So don't underestimate the time th…”
Senior Developers Gained More Productivity From Copilot Than Juniors
“An assumption we had, for example, out the gate was that junior developers are going to love Copilot. Companies are going to want it to give it to all of their early in profession talent. It will make them more productive more quickly. Lo and behold, we start …”
GitHub Runs Agile Six-Month Compensation Plans for Sales Roles
“The other way we embody this is that we run six month compensation plans for those on variable plans. So six month plans, every six months you get a new exhibit.”
Chief AI Officers Will Become Core Enterprise Buyer Personas
“We've had some customers name AI transformation officers or chief AI officers. That will be one of our buyer personas in the years to come.”
Massive Enterprises Can Eat Software Vendors Alive With Year-Long POCs
“And especially from companies the size of Accenture, they can eat you alive with a POC. It could take a year. And so we had to get pretty opinionated about what we felt was a POC worth supporting and how we were going to measure the impact.”
Accenture Ran a 450-Developer Trial Against Controls Before Buying Copilot
“They set up a trial with 450 developers using Copilot actively for a period of time and tested that against a control group of another 200 developers. And at the end, not only, yay, did they buy Copilot and roll it out to thousands of people, but they produced…”
GitHub Estimates Copilot Deflects 60% of Customer Support Tickets
“Based on the success that team has realized, we estimate that we're deflecting about 60% of the tickets we would have expected to be created across our support services, which is incredible.”
GitHub Aligns Entire Company Operations Around Three Core Revenue Plays
“We took all of our go-to-market motions and our conversations across the company and organized them through the lens of three revenue plays. And if you ask any hubber, not just a revenue hubber, any hubber, our three revenue plays, they're going to say land, s…”