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Decagon

Builds AI agents for enterprise customer support

AI Acceleration Engineer

Enterprise ApplicationsUpdated on Nov 10
Full-time

About the Job

Requirements

  • Six or more years of hands-on experience building internal tools, systems, and automations relied on by business teams, such as internal tooling, business systems, and/or revenue and finance operations.
  • Experience owning projects across the full lifecycle, from requirements gathering through deployment and ongoing maintenance.
  • Ability to build production-quality internal tools, with a focus on solving business problems rather than product engineering.
  • Ability to work as a strong generalist across varied business workflows and systems.
  • Sound understanding of system design, data flows, failure points, and maintainability.
  • Ability to determine when a workflow calls for an agentic or AI approach and when a deterministic pipeline is the better answer.
  • Ability to build trust with Finance, Accounting, Legal, and People, and independently drive complex projects under ambiguity without formal authority.

Responsibilities

  • Own projects end to end, from requirements gathering and solution design through development, testing, deployment, and ongoing maintenance.
  • Build and maintain web applications and integrations that internal teams use, including existing contract and revenue platforms and new tools built from scratch.
  • Work with stakeholders across Finance, Accounting, Legal, People, and Recruiting to identify use cases and automation opportunities, and determine whether each calls for a custom build, an AI vendor, or a hybrid approach.
  • Take on workstreams involving billing, revenue recognition, usage data ingestion, and reconciliation across internal data, the ERP, and Salesforce.
  • Build interfaces that let others work with company systems through AI, including MCP servers, skills, and agent-facing tooling, and enable business power users to handle simpler automations themselves.
  • Measure and communicate impact to leadership, including time saved, cost reduced, and errors eliminated.

Desired Qualifications

  • Hands-on experience with AI-native coding tools such as Claude Code, Codex, and Cursor, and using them to ship production solutions.
  • Coding experience in Python, TypeScript, or JavaScript; working with APIs; and deploying solutions.
  • Experience leading AI acceleration or transformation initiatives, including knowledge of common failure modes and how to avoid them.
  • A product mindset focused on building automations people adopt and enjoy using.
  • Hands-on GCP experience, including Cloud Run, BigQuery, Cloud Functions, or Pub/Sub, and experience building custom MCP servers.
  • Experience with billing or revenue systems, or having been through an ERP implementation.

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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