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Company profile

Decagon Tech Stack

Conversational AI agents for enterprise customer support across channels

Software Development San Francisco, California 501–1,000 employees Founded 2023 Privately Held

Decagon builds AI agents that handle customer conversations over voice, chat, email and SMS for large brands. Its stack pairs contact-center telephony (Amazon Connect, Google Cloud Contact Center AI, WebSockets) with a streaming data layer (Kafka, Flink, ClickHouse, BigQuery), a sign that voice quality and real-time agent analytics are core engineering bets. Hiring is engineering-heavy and senior-skewed, with a sizable sales build-out alongside it.

Tech Stack 54 technologies

Core StackPython ClickHouse Looker TypeScript Salesforce Gong Kafka Apache Flink Apache Airflow BigQuery Terraform dbt RabbitMQ HubSpot Docker Kubernetes AWS Amazon Connect Google Cloud Contact Center AI WebSockets GitOps AWS MSK Pub/Sub SAST DAST IAST Ramp Navan GCP Jupyter+24 more

What Decagon Is BuildingChallenges and projects from their job posts

◆Challenges

  • Enterprise-grade performance and safety for production AI agents
  • Driving AI platform adoption across complex enterprises
  • Improving voice quality across telephony providers
  • Scaling data infrastructure for AI workloads
  • Scaling sales operations
  • Defending against AI-enabled security threats

▲Active Projects

  • AI agent deployments guided by development playbook
  • Integrations with complex customer systems
  • Self-serve agent configuration
  • Monitoring and analytics for AI agents
  • Pricing, packaging and internal deal processes
  • Infrastructure-as-code practices

Hiring Activity

Steady170 roles · 30 in 30d

Department

Engineering
63
Sales
27
Product
15
Ops
11
Research
10
Finance
9
HR
9
Security
7

Seniority

Senior
86
Manager
33
Mid
23
Director
14
Lead
7
Junior
4
Staff
4
VP
2

Notable leadership hires: Account Director

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About Decagon

Decagon is a San Francisco-based, privately held company founded in 2023 that develops a conversational AI platform for customer experience. Enterprises use it to deploy AI agents that resolve customer interactions across voice, chat, email, SMS and other channels, aiming to reduce reliance on traditional support tickets. The company employs 501–1,000 people and hires in the United States, United Kingdom, Australia, Canada and Gibraltar. Its teams span engineering, sales, product, research, operations, finance, HR and security.

HeadquartersSan Francisco, California
Company Size501–1,000 employees
Founded2023
Hiring MarketsUnited States, United Kingdom, Australia, Gibraltar, Canada

Frequently Asked Questions

What tech stack does Decagon use?

Decagon runs on Python and TypeScript across AWS and GCP, with Kubernetes, Docker and Terraform. Its data layer uses Kafka, Apache Flink, Airflow, dbt, ClickHouse and BigQuery, and voice runs on Amazon Connect and Google Cloud Contact Center AI.

Is Decagon hiring engineers?

Yes. Engineering is Decagon's largest hiring area, weighted toward senior talent, with sales, product and research also active. Roles are open in the US, UK, Australia, Canada and Gibraltar.

What is Decagon working on?

Decagon is building an AI agent development playbook, integrations with customer systems, self-serve agent configuration, and monitoring and analytics for deployed agents, plus internal deal and pricing processes.

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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.