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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 operations at scale. The company's tech stack—Zendesk, Salesforce, HubSpot, WebRTC, RAG—reflects deep integration with existing enterprise support and CRM infrastructure. Hiring is heavily skewed toward engineering (46 roles) and sales (25 roles), with meaningful investment in research (9), suggesting both product velocity and go-to-market motion. Active pain points around agent reliability, deployment bottlenecks, and integration complexity indicate the core technical challenge: moving beyond single-channel chatbots into production-grade agents that work across voice, chat, email, and SMS in complex customer environments.

Tech Stack 30 technologies

Core StackZendesk Salesforce HubSpot Docker Kubernetes AWS Retool Python TypeScript Terraform MuleSoft RAG Figma Cursor ZoomInfo Workday Rippling Gong JavaScript GCP Jupyter Service Cloud WebRTC SAST DAST IAST LinkedIn Sales Navigator Carta Culture Amp Watchtower

What Decagon Is Building

Challenges

  • Scaling sales operations
  • Replacing support tickets
  • Integration into complex customer ecosystems
  • Slow deployment speed
  • Improving agent task execution reliability
  • Deployment bottlenecks
  • Support tickets and hold music
  • Guidance throughout development lifecycle
  • Breaking into strategic logos
  • Automation of repetitive touchpoints

Active Projects

  • Monitoring and analytics
  • Enterprise-quality ai agents
  • Ai roadmap
  • Ai-powered workflow tools
  • Agent reliability improvement initiative
  • Self-serve agent configuration
  • Generative ai experiences
  • World-class ai agent deployments
  • Custom demonstrations using decagon platform
  • Model pipeline optimization

Hiring Activity

Accelerating130 roles · 55 in 30d

Department

Engineering
46
Sales
25
Product
14
Ops
10
Research
9
Executive
4
HR
4
Support
4

Seniority

Senior
65
Manager
23
Director
11
Mid
11
Staff
10
Lead
6
Junior
3
VP
1

Notable leadership hires: Account Director

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About Decagon

Decagon delivers a conversational AI platform designed to replace traditional customer support workflows—tickets, hold times, escalations—with AI agents capable of handling multichannel interactions. The platform supports voice, chat, email, SMS, and custom channels, and integrates with enterprise systems including Zendesk, Salesforce, and HubSpot. The company operates across North America and UK markets with a 201–500-person organization founded in 2023. Product development roadmap centers on agent reliability, self-serve configuration, and deployment acceleration. The sales team is actively pursuing large enterprise logos while managing complex integrations into existing customer ecosystems.

HeadquartersSan Francisco, California
Company Size201–500 employees
Founded2023
Hiring MarketsUnited States, United Kingdom, Gibraltar, Canada

Frequently Asked Questions

What tech stack does Decagon use?

Decagon runs on GCP and AWS, with containerization via Docker and Kubernetes. Core infrastructure includes Python, TypeScript, Terraform, and WebRTC for voice. Integration layer covers Zendesk, Salesforce, HubSpot, MuleSoft, and RAG. Security tooling includes SAST, DAST, and IAST. Go-to-market tools: ZoomInfo, LinkedIn Sales Navigator, Gong.

Where is Decagon headquartered?

San Francisco, California. The company actively hires in the United States, United Kingdom, Gibraltar, and Canada.

How this profile is built

Decagon's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.