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Decagon

Builds AI agents for enterprise customer support

Staff Software Engineer - Product

AI Application EngineeringUpdated on Nov 10
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 7 years of experience building software products, with strong product thinking.
  • Proficiency in Python and comfort working across the entire stack.
  • Experience translating complex technical capabilities into simple, usable interfaces.
  • Complex-systems instincts, including asynchronous programming and failure modes that emerge at scale.
  • Ability to debug system failures in deep technology stacks using appropriate tools.
  • Ability to turn customer requests into clear, well-scoped product and technical specifications.
  • Judgment about when to ship quickly and when to slow down to build correctly.

Responsibilities

  • Eliminate manual work by building self-service functionality for agent configuration, training, and deployment.
  • Design configuration abstractions that balance power and simplicity, support diverse enterprise use cases, and remain usable by non-technical teams.
  • Build AI-powered tooling that lets customer experience and operations teams create and manage complex agent workflows without writing code.
  • Build monitoring, tracing, and analytics that surface actionable signals so customers can see where and why an agent is failing.
  • Handle agentic systems at scale, touching critical flows for Fortune 100 companies.
  • Evaluate new text and voice models and integrate the selected models into production traffic.
  • Design and build systems that let customers configure, train, test, and monitor AI agents.
  • Work with product and design on discovery, requirements, design reviews, and iteration through launch.
  • Stay close to customers to understand their use cases and ensure products meet their needs.
  • Own features end to end, from technical architecture through deployment and post-launch iteration.

Desired Qualifications

  • Background with large language models, prompt engineering, evaluations, or AI agent systems.
  • Experience building developer tools, application programming interfaces, platforms, or internal tools that became customer-facing.
  • Experience with observability, data visualization, or analytics products.
  • Experience building security-sensitive product systems, such as authentication and data access controls.
  • Experience working with multimodal or voice models.

About the Company

Decagon

Builds AI agents for enterprise customer support

Decagon builds AI customer support agents for large businesses, handling customer questions and requests over voice, chat, email, and text messages. Its platform connects these conversations to company records and internal tools, so an agent can check an order, change a reservation, or complete a support task. Customer experience teams define how agents should respond and when to pass a case to a person, while testing tools check behavior before changes reach customers. Businesses pay usage fees for the software, with charges tied to conversations or completed resolutions rather than the number of human support staff. Decagon was founded in 2023 and is headquartered in San Francisco.

Company size
501-1,000
Company stage
Series D
Total funding
$481M
Headquarters
San Francisco, CA
Founded
2023

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