OnsiteAI customer service agents that actually resolve issues — not just deflect them.
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
Currently hiring
AI/ML engineers (agent systems, LLM orchestration)Backend and infrastructure engineersEnterprise sales and account executivesSolutions engineers and customer successProduct managers
109 open roles as of June 2026 — a high ratio relative to current headcount, signaling aggressive post-Series D hiring.
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
PythonTypeScriptLLMs (frontier models + proprietary orchestration)Cloud infrastructure (AWS/GCP)CRM and ticketing system integrations
Customers
Enterprise companies across e-commerce, SaaS, and consumer services
Funding
$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.
Backed by
AccelAndreessen HorowitzBain Capital Ventures
Perks
Competitive salary and pre-IPO equityComprehensive health, dental, and vision insuranceSan Francisco office401kGenerous PTOCatered mealsParental leave
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.
