AI-native GTM startup Reevo is doubling down on leadership as demand accelerates for its Revenue Operating System.

The company announced the appointments of Naman Khan as Chief Marketing Officer and Ali Ghotbi as Chief Revenue Officer, adding enterprise SaaS pedigree to a platform that only launched in November 2025. The hires follow an $80 million fundraise co-led by Khosla Ventures and Kleiner Perkins, and what Reevo describes as a 4x surge in demand since launch.

For a startup positioning itself as the “AI-native” alternative to fragmented go-to-market stacks, the message is clear: product-market fit may be emerging, and now it’s time to operationalize scale.

From Tool Sprawl to Revenue OS

Reevo’s pitch is bold but timely. Rather than layering AI across disconnected CRM, marketing automation, and customer success tools, the company is building what it calls a unified Revenue Operating System.

The goal: collapse fragmented GTM workflows into a single platform powered by first-party data and AI automation.

In practical terms, Reevo claims revenue teams can:

• Build target account lists

• Engage prospects

• Manage pipeline

• Coordinate across sales, marketing, and CS

—without stitching together third-party integrations.

That positioning directly targets a persistent pain point in SaaS: tool sprawl. Even mid-sized companies often run dozens of GTM systems across CRM, sequencing, enrichment, analytics, and support. LLMs have amplified automation potential, but they’ve also highlighted how brittle disconnected stacks can be.

Reevo is betting that AI works best when it’s native, not bolted on.

A CMO With Platform Playbook Experience

Naman Khan joins as CMO with experience at major SaaS platforms, including Salesforce and Dropbox.

At Salesforce, Khan supported $1 billion in revenue growth through customer expansion during the company’s transition into a multi-product platform. At Dropbox, he helped drive the push into commercial B2B, contributing to revenue surpassing $1 billion.

That background is particularly relevant for Reevo. Moving from single-product momentum to multi-product platform credibility requires disciplined positioning, category creation, and narrative control—especially in a crowded AI landscape.

Khan frames the opportunity around LLM disruption. As large language models rapidly reshape SaaS expectations, he argues that Reevo isn’t just adding AI features—it’s architected around AI from day one.

For marketing, that means defining not just a product, but a category: AI-native GTM infrastructure.

A CRO Who’s Scaled Through IPO

On the revenue side, Ali Ghotbi brings more than 25 years of experience, including 14 years at Box, where he most recently served as Senior Vice President of Sales.

Ghotbi helped guide Box from early-stage growth through IPO and beyond, contributing to ARR expansion from tens of millions to over $1 billion. Prior to Box, he held leadership roles at HP and Oracle.

At Reevo, he’ll oversee sales execution, operations, and alignment across customer success—with plans to expand the sales team 10x in 2026.

That scale ambition signals confidence. But it also underscores the stakes. GTM platforms don’t just need product strength—they need disciplined sales motion, especially when competing against entrenched ecosystems like Salesforce, HubSpot, and a growing wave of AI-first point solutions.

Timing the AI Inflection Point

Reevo launched in November 2025, entering a market in flux.

LLMs have reshaped expectations across SaaS. Buyers now expect:

• Real-time account intelligence

• Automated pipeline insights

• AI-driven prospecting

• Cross-functional visibility

But many companies are retrofitting AI into legacy architectures. Reevo’s thesis is that starting fresh—with a unified data model and AI core—delivers cleaner execution and faster time-to-value.

CEO and co-founder David Zhu says the mission is to eliminate fragmentation and manual work that slow down modern revenue teams. The early 4x demand increase suggests resonance, though the durability of that demand will hinge on measurable ROI and adoption depth.

The Bigger Competitive Picture

The GTM tech landscape is increasingly polarized:

• Legacy platforms are embedding AI into existing systems.

• Startups are building AI-native workflows from scratch.

Reevo sits firmly in the latter camp.

Its success will depend on whether revenue teams are willing to consolidate core workflows into a new operating layer—or prefer incremental upgrades within familiar ecosystems.

Hiring senior operators from Salesforce and Box suggests Reevo understands that scaling an AI platform isn’t just a technical challenge. It’s an organizational and sales execution challenge.

If the company can translate early demand into repeatable revenue motion, it may carve out a credible position in the evolving Revenue OS category.

For now, the signal is clear: Reevo is no longer in build-only mode. It’s gearing up to compete at enterprise scale.

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