Decagon

AI Customer Support Agents — Series D at $4.5B

The consensus on Decagon: Choose Decagon if you want to ship AI agents to Fortune 500 customers on a small, ambitious team — but expect high intensity and long hours.

2023

Founded

San Francisco

Headquarters

~210

Employees

$4.5B

Valuation (Jan 2026)

Culture Overview

What it's really like to work at Decagon

Founded in 2023 by Jesse Zhang and Ashwin Sreenivas, Decagon builds AI customer support agents used by Fortune 500 enterprises. The company raised a $250M Series D at a $4.5B valuation in January 2026, led by Coatue Management and Index Ventures, with participation from existing investors including a16z, Accel, Bain Capital Ventures, A* and Elad Gil. The culture is intense and engineering-driven — small teams ship meaningful product to real enterprise customers week after week, with compensation heavily weighted toward equity.

Glassdoor Ratings

Decagon Glassdoor Ratings & Employee Reviews

3.9

Overall Glassdoor Score

Based on 257 reviews

Culture & Values 3.8

Work-Life Balance 3.7

Compensation & Benefits 3.2

Career Opportunities 3.7

Senior Management 3.7

Overall Rating 3.9

50% Recommend to a Friend

Employee Review Themes

Working at Decagon: Pros & Cons

✓ What employees love

✓ Strong engineering culture with technical founders deeply involved
✓ Ship meaningful AI agents to Fortune 500 customers — real impact, real usage
✓ Series D at $4.5B valuation — significant equity upside for early joiners
✓ Fast pace and high-ownership work if you thrive in that environment

✗ What could be better

✗ Intense workload — work-life balance rated 3.7/5 with mixed reviews
✗ Compensation & benefits rated 3.2/5 — heavy equity weighting
✗ High expectations and frequent deadlines — not a 40-hour-week environment
✗ SF office-centric — limited remote flexibility for most roles

Engineering Culture

How the engineering team works

Tech Stack

TypeScript Python React

Product

Conversational AI agents that resolve customer support issues end-to-end for Fortune 500 enterprises. Deployed across retail, fintech, and SaaS.

AI & ML

LLM-powered agents with deep integrations into customer support systems. Proprietary orchestration layer tuned for reliability in production. Learn more →

Team Structure

~210 employees with a heavy engineering concentration. Small teams own customer deployments and product areas. Technical founders (ex-Stanford, ex-PayPal) remain hands-on.

Open Positions

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