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Decagon

Builds AI agents for enterprise customer support

Business Operations - Growth

Business OperationsUpdated on Nov 10
Full-time$160k - $200k /yr

About the Job

Requirements

  • A technical foundation in computer science, mathematics, statistics, data science, or a similarly quantitative area.
  • Ability to combine strategy frameworks with hands-on engineering and a strong metrics mindset, identifying solutions, building them, and evaluating whether they work.
  • Operating experience at an early-stage company in product, zero-to-one building, or other work needed to support the business.

Responsibilities

  • Work closely with sellers, revenue operations, growth marketing, and engineering teams to develop solutions that increase pipeline and deal flow.
  • Debug business problems end to end by forming hypotheses, analyzing data, evaluating vendors, shipping features, and establishing an operating cadence to sustain the solution.
  • Set the roadmap for tools, products, or operational rhythms that accelerate revenue growth, including prioritizing areas of focus and triaging potential solutions.
  • Build an end-to-end quantitative view of deal pipeline and movement, and create evaluation frameworks that quantitatively demonstrate the impact of solutions.
  • Own projects from identifying pain points and prototyping through production operations and effectiveness retrospectives.
  • Help architect shared platforms and workflows supporting end-to-end sales and delivery pipelines.

Desired Qualifications

  • Consulting, technology diligence, investing, or strategy expertise paired with hands-on building experience.
  • Exposure to go-to-market systems such as Salesforce, HubSpot, Clay, or Unify.
  • Experience building with large language models in production or using workflow automation tooling.
  • Predictive or propensity modeling, or lead-scoring experience.
  • Growth marketing instincts and opinions on creative demand generation, beyond marketing systems infrastructure.

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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