Jonathan
Spier

Jonathan Spier doesn't pitch himself as a futurist. He's the guy who was sitting at employee #85 at Ariba in 1998, managing engineering teams while the company scaled to 3,500 people and became the backbone of B2B e-commerce. That front-row seat to hypergrowth - the chaos of it, the patterns in it - became the template he'd run on repeat for the next two decades.

Today he's the CEO of Rev Intelligence, a San Diego-based platform that uses something he calls exegraphics - a word he's helped make real - to help enterprise sales teams identify and prioritize the accounts most likely to buy. Not "companies in the Fortune 500 that use Salesforce." Something deeper: how those companies actually operate, behave, and spend. The distinction sounds subtle. The results aren't. Rev customers report 3x higher win rates and 50% faster sales cycles. The client list reads like a who's-who of enterprise software: Adobe, Citrix, SAP, IBM, Oracle, Google, Zendesk, Splunk.

The NLP Bet Nobody Else Made in 2004

When the dot-com crash drained Silicon Valley's optimism, Spier did what the Valley's survivors often do: went back to school. Harvard Business School, where he graduated with honors. Then, in 2004, he and an MIT co-founder placed a quiet bet on natural language processing - years before NLP was a hot word in anyone's pitch deck.

The company was NetBase. The premise was elegant and ambitious: the internet was generating an ocean of opinion and the tools to analyze it were either too slow (human analysts) or too dumb (keyword matching). NetBase built NLP infrastructure that could process web-wide opinion patterns at enterprise scale - and sold that capability to Fortune 500 brands who needed to know what consumers actually thought, not what survey respondents said.

The client list at NetBase looked like a trophy case: Coca-Cola, P&G, SAP, Taco Bell, JD Power. Spier built the executive team with alumni from Apple, McKinsey, TIBCO, Cadence. NetBase became the category leader in social media analytics, and eventually rebranded as NetBaseQuid - a name that still leads the space today.

The PLAE Detour: Kids Shoes and Direct-to-Consumer Conviction

Between NetBase and Rev, Spier took a detour that tells you something about his range. He led PLAE as CEO - a next-generation kids footwear brand - from launch to millions of units sold. At the time, direct-to-consumer was still a novel model for consumer goods. PLAE built a thriving online community and what Spier would describe as a best-in-class digital marketing engine.

Most tech executives wouldn't touch consumer retail. Spier ran at it. That combination - deep technical roots, operator versatility, and an instinct for where consumer behavior is heading - is what makes his pattern-recognition in B2B so sharp. He's seen how brands build loyalty. He knows how buyers behave.

Above the Funnel: The First-Mile Problem

When Spier took the CEO seat at LeadCrunch (now Rev Intelligence) in February 2021, the company had already built something interesting: AI-powered B2B prospecting using machine learning to identify lookalike audiences for enterprise buyers. Revenue was at $11.7M and climbing toward 400 customers.

But Spier saw a bigger opportunity, and a bigger problem. He calls it the first-mile problem: the enormous waste that happens before a sales conversation even starts. Most B2B companies still rely on firmographic data - company size, industry, geography - to decide who to call. That's like using someone's zip code and job title to predict whether they'll become your best customer.

Exegraphics go further. Instead of asking "what kind of company is this?", they ask "how does this company actually operate?" What vendors do they use? How do they grow? What does their org structure signal about buying behavior? Rev's AI maps these behavioral and operational signals across millions of companies, then scores them against what a customer's existing best accounts actually look like.

The result is a Sales Development Platform - Spier's preferred frame - that sits at the very top of the funnel. Not a CRM. Not a marketing automation tool. Something that answers the question sales teams have always wrestled with silently: "Of all the companies in the world, which ones should we call tomorrow?"

The Advisory Layer: Board Work, Mentorship, and Bio

Spier's footprint extends beyond Rev. In 2024, he joined the Board of Directors at Monoceros Biosystems, a bioinformatics and computational biology company - a signal of his curiosity extending into life sciences infrastructure. He advises Factor and Klangoo. At Harvard Business School, he serves as a Rock Fellows Expert Mentor and judges the New Venture Competition.

He's the kind of operator who gives back at the source. The Harvard NVC judge seat isn't honorary - it's active mentorship for founders in the earliest stages of company formation, exactly where Spier has lived multiple times.

Twenty Years Running Hard

In a LinkedIn post that circulated widely, Spier opened with a simple statement: "I've been a CEO for 20 years." It wasn't a brag. It was context for an observation about AI that had been building for two decades. The company-building instinct that brought him to Ariba in the late '90s, to NLP in 2004, to kids shoes in the 2010s, and to exegraphics-powered sales intelligence today hasn't cooled. It's just gotten more focused.

The future of sales, in his framing, is above the funnel. Not just smarter calling or better CRM hygiene. A fundamentally different answer to the question of who deserves your attention - backed by AI that has read more company behavior patterns than any sales team could study in a career.

That's the thread running through every chapter of Jonathan Spier's career. He finds the place where data is rich, the tooling is primitive, and the business stakes are real. Then he builds the category.