Decagon
Decagon creates generative AI for building customer service agents that work much more like humans and its platform gives customer support team leaders more visibility into their automated customer experience operations
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- 2023
- Headcount
- 6
- Open roles
- 109
- Last raised
- Series D · Sign in to view
Inside Decagon
AI customer service agents that actually resolve issues — not just deflect them.
Decagon builds AI agents for enterprise customer service that go beyond answering questions — they take action, resolve tickets, process requests, and hand off to humans only when necessary. Founded around 2022 and headquartered in San Francisco, Decagon competes directly with Sierra in the agentic customer support space. After closing a $250M Series D in January 2026, the company is scaling rapidly with 109 open roles despite a still-small employee base — a signal of aggressive expansion ahead.
Why join now
- 109 open roles — scaling fast from a small base
- $250M Series D closed January 2026
- San Francisco HQ — top-tier AI talent market
- Competes with Sierra in AI customer service agents
- Founded ~2022 — still early enough for meaningful equity upside
Hiring
109 open roles as of June 2026 — a high ratio relative to current headcount, signaling aggressive post-Series D hiring.
The team
Culture & perks
Culture
Early-stage culture with the urgency of a company that just raised $250M and needs to grow fast. High individual ownership, AI-native thinking, and a focus on building enterprise software that actually works in production. The small team size means early joiners will have outsized influence on culture and product direction.
Common misconception
Q: What does Decagon actually build? A: AI agents for enterprise customer service that resolve issues end-to-end — not just chatbots that escalate everything. The agents integrate with CRMs, ticketing systems, and internal tools to take real action on behalf of customers. Q: How does Decagon compare to Sierra? A: Both target enterprise customer service with AI agents. Decagon is earlier-stage, which means higher equity upside but also more ambiguity. The $250M Series D signals investors believe there's room for multiple major players in this category. Q: How many employees does Decagon have? A: The company is still small — estimated under 50 employees — with 109 open roles. This is an unusual ratio that signals they are about to grow very fast. Joining now means being in the founding-era cohort. Q: What is the engineering culture like? A: Fast, product-focused, and AI-native. The team is building agentic systems that need to work reliably in production enterprise environments — meaning high bar for correctness, reliability, and integration quality. Q: What equity stage is this? A: Series D with $250M raised in January 2026. Pre-IPO equity with meaningful upside for strong performers joining during the growth phase.
Tech stack
Customers
Backed by
Funding context
$250M Series D closed January 2026. The round reflects strong investor conviction in agentic AI for enterprise customer operations. Decagon is capitalizing on the same category thesis as Sierra, with a significant war chest to hire aggressively and expand enterprise distribution.
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Founders & key people
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Capital raised
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Where they work
Decagon Headquarters Location
2261 Market Street Suite 5378, San Francisco, CA, 94114