Decagon Tech Stack

Conversational AI platform for enterprise customer service automation

Software Development San Francisco, California 201–500 employees Founded 2023 Privately Held

Decagon builds conversational AI agents for customer-facing enterprises, deployed across voice, chat, email, and SMS channels. The stack—Python, TypeScript, Kubernetes, GCP/AWS, plus ChatGPT and Claude—reflects a production-grade AI systems company. Active adoption of Claude and Terraform, combined with hiring velocity concentrated in engineering (59 roles) and a project focus on agent reliability and enterprise go-to-market acceleration, signals Decagon is scaling production infrastructure while pushing toward higher-stakes customer deployments.

Tech Stack 23 technologies

Core StackSalesforce HubSpot Python TypeScript Docker Kubernetes AWS Terraform Retool Rippling MuleSoft RAG Gong JavaScript GCP ChatGPT Jupyter SQL WebRTC Culture Amp Service Cloud Watchtower Claude

AdoptingTerraform Claude

What Decagon Is Building

◆Challenges

Scaling sdr team
Scaling payroll operations
Integration into complex customer ecosystems
Procurement process inefficiencies
Manual engineering work
High‑scale low‑latency infrastructure
Improving agent reliability
Accelerating enterprise go-to-market motion
Guidance throughout development lifecycle
Slow time to value

▲Active Projects

Monitoring and analytics
Enterprise-quality ai agent development
Expanding executive network
Design and build ai agents
Partnering on high-stakes enterprise opportunities
Ai-powered workflow tools
Agent reliability improvement
Developing pricing and packaging strategy
Generative ai experiences
Optimizing interview processes

Hiring Activity

Accelerating150 roles · 85 in 30d

Department

Engineering

Sales

Product

Ops

Executive

Finance

Research

Seniority

Senior

Manager

Mid

Staff

Director

Junior

Lead

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About Decagon

Decagon is a conversational AI platform company founded in 2023, headquartered in San Francisco with 201–500 employees. The product enables enterprises to deploy AI agents that handle customer interactions across multiple channels, replacing traditional support workflows with personalized, agentic experiences. The company sells into large, multi-channel customer-service operations—retail, financial services, health and wellness, and home improvement brands. Engineering-heavy hiring and active work on agent reliability, monitoring, and enterprise integration point to a business scaling toward mission-critical deployments at Fortune 500 customers.

HeadquartersSan Francisco, California

Company Size201–500 employees

Founded2023

Hiring MarketsUnited States, United Kingdom, Gibraltar, Canada, Costa Rica

Frequently Asked Questions

What tech stack does Decagon use?

Decagon's core stack includes Python, TypeScript, Docker, Kubernetes, GCP, AWS, ChatGPT, and Claude. They also run Salesforce, HubSpot, Terraform, and Retool for operations and deployment automation.

What is Decagon working on?

Top projects include enterprise-quality AI agent development, agent reliability improvement, monitoring and analytics, AI-powered workflow tools, and accelerating enterprise go-to-market motion.