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Decagon

Builds AI agents for enterprise customer support

Senior Agent Product Manager

Pre-Sales Solution Engineering +1Updated on Nov 10
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 6 years of experience owning ambiguous, high-stakes outcomes and earning the trust of senior executives; relevant backgrounds include consulting leadership, product management, founding, or forward-deployed and solutions roles at high-growth technology companies.
  • Ability and motivation to design and build solutions rather than only diagnose problems or manage others who build them.
  • Strong technical acumen to understand and shape AI agent designs and participate effectively in technical conversations with engineers and executives.
  • Executive presence and a track record of becoming a trusted advisor to senior decision-makers at large, complex organizations.
  • Comfort operating in fast-moving, ambiguous environments while shaping and implementing solutions.

Responsibilities

  • Own the technical win on Decagon’s largest strategic opportunities, partnering with Sales, Solutions Engineers, and Forward-deployed Engineers to build working AI agents that help convert sophisticated buyers into customers.
  • Serve as the executive partner to Fortune 500 C-suites, defining and driving AI transformation roadmaps and owning relationships from the first conversation through production and expansion.
  • Design, build, and optimize enterprise-grade AI agents in production, learning each customer’s workflows, pain points, and goals.
  • Turn developed frameworks and playbooks into reusable assets that scale across accounts and inform Decagon’s product roadmap.
  • Direct Forward-deployed Engineers and partner teams in delivering at scale while remaining accountable for outcomes.
  • Run feedback loops with Product and Engineering and shape the product based on lessons from demanding deployments.

Desired Qualifications

  • A Computer Science, Engineering, or Math degree, or equivalent hands-on technical experience.
  • An MBA, or equivalent experience at the intersection of business strategy and technology.
  • Experience selling, deploying, or advising on enterprise software or transformation programs at the Fortune 500 level.

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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