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Decagon

Builds AI agents for enterprise customer support

Field Engineer

Implementation & Technical Account ManagementUpdated on Nov 10
Full-time$200k - $240k /yr

About the Job

Requirements

  • Have at least 4 years of experience owning highly ambiguous and technical projects, including work as a software engineer, ex-founder, or in a forward-deployed role at a high-growth technology company.
  • Write production-grade code in Python, SQL, or similar languages.
  • Have built integrations against third-party APIs and enterprise systems, and be comfortable using unfamiliar documentation to implement solutions.
  • Be able to participate in technical conversations with customer engineering teams and translate findings into a concrete implementation plan.
  • Be comfortable navigating ambiguity and collaborating cross-functionally.

Responsibilities

  • Own the technical win on critical enterprise opportunities by partnering with Account Executives, Solutions Engineers, and Agent Product Managers to build software and agents that turn skeptical buyers into signed customers.
  • Design and deliver custom integrations with enterprise telephony and Contact Center as a Service platforms, from prototype through production deployment.
  • Configure and optimize enterprise-grade AI agents using Agent Operating Procedures, iterating against production conversation data and instrumenting metrics to measure improvement.
  • Diagnose and resolve issues in live customer instances across telephony, voice flows, tool calls, and third-party integrations to protect at-risk go-lives.
  • Lead exploratory customer discussions to explain how AI can be used in their technology stack to unlock business value.
  • Educate customers on how to extract more value from the Decagon platform through technical enablement.

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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