Hiring for AI-native and deep expertise

How Replit's VP of Ops Runs an AI-Native Company (And Why Most Enterprises Are Still Getting It Wrong)

Jonathan Eide has built and scaled operations at Meta, Coinbase, and now Replit, the company that's quietly become one of the fastest-growing AI-native businesses on the planet. In this conversation, he breaks down what's actually different about running a company where every function builds their own software, why "vibe coding" is too lightweight a term for what's coming, and the hiring shift every CXO will face in the next 24 months.

If you're a CXO trying to figure out how to move your org from "we use Copilot" to genuinely agentic operations, this is the playbook.

What we get into:
The two archetypes Replit hires for, and why the "perfect candidate" has both
Why Jon hasn't written a Linear ticket by hand in months (and what replaced it)
The internal AI analyst tool that replaced an entire junior analyst function
How Replit killed Google Slides internally with a self-updating, self-populating weekly wins deck
Why measuring AI productivity by tokens or time saved is the wrong move (Theory of Constraints, applied)
The hiring shift: from screening interviews to "build me a demo before we talk"
What enterprise adoption actually looks like at Zillow, Atlassian, and old-school PE-backed manufacturers
Why Replit's "plan" is to not have a plan, and why vision/mission still has to be rock solid
The single-person companies hitting tens of millions in ARR
Rapid fire: the deeply held belief about AI that Jon thinks will be gone by 2028

Chapters:
00:00 Intro
01:16 Jonathan Eide 
02:00 What's fundamentally different about running ops at an AI-native company
04:20 How every function at Replit is building its own tools
07:35 Killing PowerPoint: the internal weekly wins deck built in Replit
11:35 Source of truth, guardrails, and avoiding the "everyone builds an app" sprawl
14:20 Can large or legacy companies actually adopt this operating model?
18:15 Why measuring tokens and time saved is the wrong way to track AI productivity
22:20 How Jon redesigned his interview process for AI-native hiring
25:35 Are AI-native companies hiring fewer people, or different people?
28:25 Why "AI native" will disappear as a hiring filter
29:15 Growing at Replit's pace: planning when the market resets every two weeks
32:24 Replit's three user segments: hobbyists, prosumer entrepreneurs, enterprise
34:41 Surprising businesses being built on Replit (and the single-person unicorn thesis)
37:30 The plan is to not have a plan: vision vs short-term flexibility
40:36 Rapid fire: the belief about AI that will be destroyed by 2028
41:32 Rapid fire: the one AI buzzword Jon would ban from Replit meetings
42:27 Rapid fire: what Jon is most optimistic about

About Jonathan Eide:
Jonathan is VP of Operations at Replit. Prior to Replit, he held senior operating roles at Coinbase and Meta, leading data and operations functions through hypergrowth phases at both.

About the AI CXO Podcast:
The AI CXO Podcast helps CXOs get actionable insights into how to navigate AI's reshaping of the business landscape. New episodes drop weekly.

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