He runs a $3 billion data company whose interface looks suspiciously like the thing your finance team has been quietly using since 1985.
Palmer is in the awkward middle of a thing that is starting to work. Sigma Computing, the company he has run since May 2020, just closed a Series E that valued it at roughly three billion dollars. Annual recurring revenue passed a hundred million. JPMorgan joined a cap table that already included Sutter Hill, Altimeter, and D1. Gartner put the company in its Magic Quadrant for Analytics and BI in 2025. By the conventional scoreboard - rounds raised, logos closed, analyst nods - the math is fine.
But Palmer does not talk like a man playing for the scoreboard. He talks about a license, singular, on a desk, somewhere, that does not yet exist. "The mission we remain on," he told the Inspired Insider podcast, "is to be licensed to every person, in every department, at every company." That is not a quarter. That is a posture.
Posture matters more than people think. Snowflake, Sigma's closest neighbor in the warehouse stack, made cloud data cheap and structured. Palmer's argument is that the rest of the industry then handed business users a dashboard and called it a product. He is unimpressed by dashboards. "Snowflake had solved the compute problem, and the data structures problem," he said in a 2023 conversation. "What they hadn't done was solve the problem of how to create business value with that data. They had solved an IT problem, but not a business problem."
Sigma's answer to the business problem is a spreadsheet. Not a metaphor for a spreadsheet. An actual grid of cells, rows, columns, formulas, sitting on top of a warehouse holding trillions of records. The bet is that the spreadsheet is the highest-bandwidth interface ever shipped to white-collar workers, and that anyone trying to replace it with another flavor of charting tool is in the wrong fight.
Palmer did not invent this thesis. The co-founders, Rob Woollen and Jason Frantz, did. What he did was inherit it, and then refuse to dilute it.
Palmer studied developmental biology at the University of Rochester. He minored in Spanish literature. Neither of these is a normal pre-load for a software CEO, and the gap between "how does a fertilized cell decide to become a heart" and "how does a warehouse become a P&L" is, on paper, embarrassing. In practice, both are problems of inheritance and emergence. Cells differentiate by reading signals. Companies do the same.
The first part of his career was inside the heaviest enterprise infrastructure on earth - Symantec, then Veritas Technologies after the eight-billion-dollar separation in 2016. He served as Executive Vice President and Chief Product Officer at Veritas, dragging a legacy data-protection portfolio toward something resembling cloud. It is the kind of work that builds patience and a low tolerance for the word "platform."
From there he moved to Druva as Chief Product Officer. Druva was already cloud-native, which let him stop translating and start shipping. He stayed long enough to redesign the revenue-acquisition model and lift net retention. Then Sutter Hill called.
"Execution is where all the magic shows up."- Mike Palmer, Inspired Insider
On May 12, 2020, Sigma announced that Palmer was its new CEO. The interesting part of the press release was not Palmer's title. It was Rob Woollen's. Woollen, co-founder and the company's first CEO, stepped down voluntarily and became CTO. Jason Frantz, the other co-founder, became Chief Architect. The board's reasoning was not coded language - they wanted Woollen on product, Frantz on the stack, and an operator on the company.
Founders do not usually do this gracefully. The fact that Woollen did, and the fact that he is still there as CTO six years later, tells you something about how the room was run. Palmer did not arrive to clean up a fire. He arrived to compound a thesis.
Palmer's read on artificial intelligence is unusually grounded for a 2026 CEO. He does not talk in vague tonnage about transformation. He talks about a threshold. "Over the next couple of years," he said on DataCamp's DataFramed podcast, "we'll start to see more of these aha moments where people think this is not 30% better than what I'm doing. It's a hundred times better than what I'm doing. And then you won't have to convince them, because people recognize 100X improvements."
This is, in effect, a sales philosophy disguised as a technology forecast. 30% improvements get argued with. 100x improvements get adopted. The implication for Sigma is that putting Anthropic's Claude and other large models inside the warehouse, where the data already lives and the governance already runs, is the only way to deliver the second kind of jump. Bolt-on AI delivers the first kind.
It is worth pausing on the spreadsheet thing because it is easy to miss. Every BI vendor of the last decade tried to wean business users off Excel. Tableau, Looker, Power BI - all of them, in slightly different dialects, sold the same pitch: stop typing in cells, start clicking on charts. Most users politely nodded, opened the dashboard once, and exported to Excel.
Sigma's posture is that those users were right. The spreadsheet is the highest-leverage interface in the building. The problem was never the spreadsheet. The problem was that it ran on a laptop instead of a warehouse. Palmer's company essentially detached the grid from the desktop and pointed it at a few trillion rows of cloud data. The verbs stayed the same. The math got bigger.
That is also why Sigma talks about "input tables" and "write-back" the way other vendors talk about machine learning. If business users can write back into governed warehouse tables from a spreadsheet, the line between "report" and "application" gets thin. That is the wedge.
"They had solved an IT problem, but not a business problem."- Palmer, on the gap Snowflake left behind
Palmer's predecessors at Veritas and Druva taught him that enterprise software does not lose because the product is bad. It loses because the company forgets what year it is. Veritas, post-Symantec, was a portfolio of products built for a world where data lived in tape libraries. Druva was a bet that backup belonged in the cloud, by default, with no on-prem option. Both moves required convincing a board, a sales force, and a partner ecosystem to stop selling what was working last quarter.
Sigma is now in a comparable moment. The Series E doubles the valuation. The product is good enough that analysts notice. The pressure now is to grow without becoming the thing it was built to replace - heavyweight, IT-owned, dashboard-shaped. The temptation, every quarter, is to add features that flatter procurement and bore the actual user. Palmer's job is to refuse.
For a CEO running a unicorn that just doubled, Palmer keeps a strangely thin public footprint. No active Twitter feed of note. No book in the pipeline. A LinkedIn presence that is mostly company news. He shows up on a podcast every few months, says something concrete, and disappears back into the building. This is unfashionable in a category dominated by founders who post hourly. It also tracks with his self-described temperament. He is an operator. Operators tend to look loud only in retrospect, when the numbers do the talking.
And in 2026, the numbers are starting to talk.
GM, CMO, and product roles across enterprise tech, including time at Symantec.
EVP and Chief Product Officer at Veritas Technologies. Modernizes the data-protection portfolio after the Symantec split.
Chief Product Officer at Druva. Rebuilds revenue acquisition. Lifts net retention.
Named CEO of Sigma Computing. Co-founder Rob Woollen voluntarily moves to CTO.
Sigma closes a $300M Series C at a $1.1B valuation. Unicorn.
$200M Series D.
Crosses $100M ARR. JPMorgan joins as an equity investor. GrowthCap names Palmer to Top 25 Cloud Computing Executives.
Sigma lands on the Gartner Magic Quadrant for Analytics and BI.
$80M Series E closes. Valuation doubles to roughly $3B.
"Execution is where all the magic shows up. The mission we remain on is to be licensed to every person, in every department, at every company."
"Snowflake had solved the compute problem and the data structures problem. They had solved an IT problem, but not a business problem."
"It's a hundred times better than what I'm doing. And then you won't have to convince them - people recognize 100X improvements."
His undergrad was about how cells decide what to become. Useful, it turns out, when running a company that helps other companies figure out what they are.
For an enterprise software operator, this is exotic. He has not made a hobby of mentioning it.
The spreadsheet-on-the-warehouse idea was the founders'. He did not pivot it. He just refused to soften it.
A startup CEO transition in the first weeks of pandemic lockdown is not a normal handoff. It worked anyway.
For a CEO of a Series E company, his social footprint is thin. He shows up on podcasts, says something specific, leaves.