We’re building the Post-AI stack for finance teams of the future, I’m hiring two people to help get us there. @a16z recently dropped a great piece (“You Need a New CFO”) describing what’s changing. Yesterday’s finance teams spent their focus operating in Excel/Sheets, and had to fight for engineering resources, or to carve out time for strategic work. Tomorrow’s finance leaders will build the future for themselves. AI makes everyone go faster, but only domain experts with taste know what good looks like. We’re hiring a finance person who is also a data person. Or vice versa. Someone who deeply understands the operating levers of a business, can build and sell their model to the CFO, then automate the roll-forward with SQL + python. Someone equivalently comfortable in a coding agent as they are leading a MBR. And once you solve for @tryramp, you’ll bring what you learned to the product and operations for every business that trusts Ramp with their finances. And we’re hiring another @arakharazian. Well, there is no one like Ara. But similarly, we’re looking for a person who can tell the data stories Ara does, with a credible perspective on: “Okay, but what does this mean for a finance team?” This person has a track record of writing and thinking in public that CFOs can’t ignore. They have a strong perspective on how finance teams should work w/ AI wherever they are today: what to build vs. buy, what post-AI financial work looks like, how to build the right teams. And they should be excited to back it up with our data. This can be an career-defining role that's as big as they want to make it. We are hiring one person for both of these roles, and we will wait for the right person. If either of these is you -- reach out! Show me what you’ve built. Today is day 2765 and we are just getting started.

Last month I wrote about data stacks in the Post-AI era. This isn't hypothetical, it's what working at @tryramp feels like today. 4.5 years ago I joined a corporate card company where data meant writing SQL and clicking through a BI tool's web UI to visualize card swipes. Today, Ramp is a finance intelligence platform building a router, data layer, tools, and agentic product experiences to help companies understand their ROI on token spend, AI tool vendors, and every other signal we can use to help them save time and money. We are meeting every business in the entire world wherever they are on their AI journey, and truly, the energy feels more like we're just getting started than it did 4.5 years ago. I'm looking for data teammates to build the next stage of Ramp with me. There's a lot that AI + "software factory" can solve for you, and we do that better than anyone. I'm not just looking for people who claude code within their own domain and can debug an agent trace, but people who are convincing enough to get hundreds of people to change what they prioritize. I'm looking for ML systems thinkers with strong product opinions who both can both deeply feel and explain customer pain. People with the judgement to build complex systems, combined with bulldozer grade resourcefulness, AI-pilled velocity, who care a lot. Plus you'll get to work with @ryanlstevens12 @arakharazian @ian_dot_so @rahulgs @karimatiyeh @geoffintech @hamidships @diegozaks! If this sounds like you, I'd love to meet. If you're in NYC, would love to grab coffee.

The Modern Data Stack is over, long live the Post-AI Data Stack🫡🤖 I wrote about how technological shifts change what a data team can build, the features of post-AI data stacks, what we've built at @tryramp, and what data teams can learn from @nbcsnl.

There is no substitute for looking at the data. Manually inspecting failure modes is how you discover the shape of the problem. Great AI products are built by teams who set up their infra + instrumentation to make looking at data easy. @austospumanto @bcherny @rahulgs

Our economist is in @TheEconomist "Ramp reckons that the 1% of clients that spend the most on AI per employee are racking up bills of about $7,450 per person per month on average. That compares with just $11 for the median Ramp customer." @arakharazian 💪💪

Ramp's monthly Top Software Vendors is one of the best signals for where to work, where to invest, or who to sell to. Here are May's breakout + fastest growing vendors. We observe that @tryramp customers with high AI intensity grow revenue ~4x faster. Great vendor selection is a critical part of being on the right side of the gap. Every month, @arakharazian publishes the playbook.