Feb 28, 2025 · 31m · saastr
AI at Scale: 8 Learnings from monday.com Co-Founder and Co-Ceo Eran Zinman
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In this SaaStr conversation, monday.com Co-Founder and Co-CEO Eran Zinman shares key strategies behind scaling past $1 billion in ARR, focusing on customer base diversification, multi-product expansion, and the practical integration of AI into real-world business workflows.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Jason holds 38.7% of the talking time here. How this is scored →
Jason as informed peer 5.7 Guest teaching 3.4 Guest disagreement 1.4 Jason pushing back 2.3
speaking balance: gold is Jason, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 19:32 Zinman pushes back on personal vs organizational AI value
Zinman counters Lemkin's claim that $20 LLMs make SaaS look overpriced by sharply distinguishing between personal hobbyist use and enterprise-wide business workflow automation.
Hardest push from Jason ▶ 18:45 Lemkin challenges long-term AI feature monetizationLemkin directly challenges Zinman's pricing strategy, arguing that AI capabilities will quickly become table stakes like single sign-on rather than billable add-ons.
Biggest teaching moment ▶ 10:15 Zinman explains SMB abandonment trap using HubSpot and SalesforceZinman educates founders on why moving strictly up-market leaves a lethal vacuum, using HubSpot capturing Salesforce's abandoned SMB segment as historical proof.
Jason holds their own ▶ 18:11 Lemkin cites contact center seat erosion dataLemkin brings deep market data into the conversation, citing 20% seat reductions alongside 50% ACV increases among pure-play AI contact center vendors.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Jason as informed peer | Guest teaching | Guest disagreement | Jason pushing back | Why |
|---|---|---|---|---|---|---|
| Customer Diversity and SaaS Predictability | 6 | 3 | 1 | 2 | Lemkin demonstrates deep knowledge of SaaS benchmarks, comparing Monday's customer diversity to vertical SaaS models like Procore. Zinman explains how broad industry representation provides macro stability and high quarterly predictability. The discussion is collaborative with mutual appreciation of operational dashboards. | |
| Revenue Durability and Scaling Retention Metrics | 6 | 4 | 1 | 2 | Lemkin brings up the shift from NRR to Gross Revenue Retention as the key durability metric in late-stage tech. Zinman explains that at billion-dollar scale, expanding existing accounts is mathematically essential rather than optional. The dynamic is collegiate and analytical. | |
| Serving SMBs While Scaling to Enterprise | 7 | 5 | 2 | 3 | Lemkin challenges the common pitfall where enterprise-bound founders neglect SMBs, citing examples like Slack and Zoom. Zinman affirms this danger by citing Salesforce leaving a vacuum for HubSpot, explaining how serving both maintains UX quality. Lemkin pushes on internal resource allocation mechanics. | |
| Practical AI Adoption and Consumption-Based Monetization | 7 | 4 | 3 | 5 | Lemkin actively pushes back on AI pricing viability, citing contact center seat reductions and predicting AI features may become commoditized like SSO within 18 months. Zinman defends consumption-based pricing, arguing that directly tied value creation justifies monetization over personal LLM subscriptions. A sharp, high-level debate on monetization. | |
| 10x AI Workflows: Unlocking Unstructured Business Data | 6 | 4 | 1 | 1 | Zinman explains Monday's top AI use case around processing unstructured data such as screening 100,000 resumes per month. Lemkin concurs, referencing Aaron Levie and emphasizing how overlooked unstructured data automation is across traditional enterprise workflows. | |
| Multi-Product Strategy: Breaking Silos and Expanding Cross-Sell | 7 | 4 | 2 | 3 | Lemkin probes how Monday can compete in crowded categories like CRM without a completely Greenfield market. Zinman outlines the structural moat of breaking software silos and cross-product data integration. Lemkin reinforces this with insights into HubSpot's historical multi-product journey. | |
| Concluding Remarks and Future Collaboration | 1 | 0 | 0 | 0 | Lemkin briefly wraps up the interview, thanking Zinman and setting up a future check-in on AI developments in twelve months. |
Statements from this episode (13)
Zinman: monday.com serves over 250,000 customers across diverse industries and geographies
“And I think maybe what's a little bit unique about Monday is the variety of customers, not just the, you know, total number of customers, which is relatively high over 250,000, but the variety across different industries, different markets, different countries…”
Zinman: At $1B ARR, 30% Growth Requires Relying on Existing Customers
“Once, once you reach a billion, if you want to grow 30%,
The majority of revenue is going to come from your existing base, no matter how efficient your marketing is.
And we have a very efficient marketing engine, but yes, like just how math works, most of the …”
Zinman: monday.com Gross Retention Is at an All-Time High
“We have our highest gross attention
Ever, I would say, currently.
The gross attention of the company, given the economy, given everything that's happening in the world just to give people context, like, we see gross attention going up, actually.”
Zinman: HubSpot captured the SMB market because Salesforce moved upmarket
“Eventually you abandon the mid-market SMB segment, and then you have this huge vacuum. You leave a huge vacuum in the market. I think to some extent, I'm not an expert, but that will happen with Salesforce and HubSpot. Salesforce moved up market in a way. HubS…”
Zinman: Upmarket SaaS firms become irrelevant by abandoning SMBs
“People don't realize that the SMBs and mid-market of today are the enterprise of tomorrow. So they getting used to use another product, they're getting used to use another platform, and eventually they become the enterprise companies. And then those enterprise…”
Zinman: monday.com recorded 17 million AI actions following AI blocks launch
“We launched AI blocks and we actually saw more than seventeen million AI actions in the product in the last few months.”
Zinman: monday.com chose AI consumption pricing expecting slower headcount growth
“Eventually we made the decision to charge per consumption and not tie it to the seat model. Because I think that if this is going to be widely successful, Maybe some of our customers would not hire as many people as they plan to.”
Lemkin: Contact center vendors saw 20% seat reductions in one year
“If you look at pure play contact center vendors, right, a lot of them have seen 20% seat reductions in a year due to AI. 20% across the board, right?”
Lemkin: In 18 months, SaaS companies may not charge extra for AI
“I think in, 18 months. We may not be able to charge at all. Yeah, because there has to be a core set of software that I get with my seat. You can't charge me for login. You can't charge me for, there's certain things that have to come.”
Zinman: monday.com receives nearly 100,000 job applicant CVs monthly
“We, for example, we get about almost a 100,000 CVs a month.”
Zinman: Scaling past $1B ARR requires going multi-product
“If you want to scale a company past a billion and even to a billion, you have to go multi-product. There's no other way you can do it.”
Zinman: monday CRM is growing faster than core monday.com originally grew
“We have great momentum with CRM, and we're super proud of the growth, and it's actually grown faster than what Monday did back in the day, which is pretty impressive.”
Zinman: Multi-product integration beats standalone best-of-breed CRM solutions
“And because of that, you don't necessarily have to have the best CRM in the world. It might be second place, but because of that integration and because of that data flows between the different products, you get such huge benefit from that, that it's a huge ad…”