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Decagon

Builds AI agents for enterprise customer support

Engineering Manager - Agent Product

Engineering LeadershipUpdated on Nov 10
Full-timeNew York, NY, USA

About the Job

Requirements

  • Have at least 1 year of engineering management experience.
  • Have at least 5 years of industry experience in software engineering.
  • Have experience leading teams that build customer-facing products or complex distributed systems, with ownership from technical design through launch and iteration.
  • Have strong product judgment and experience partnering closely with product and design.
  • Be proficient in Python, TypeScript, and asynchronous programming.
  • Be comfortable investigating system failures in deep technology stacks using any necessary tool.
  • Have strong communication skills and the ability to connect technical decisions to user needs and business outcomes.

Responsibilities

  • Lead and grow a team of generalist product engineers who own a product area and its underlying systems.
  • Partner with product and design to identify high-impact opportunities, define the roadmap, and translate user needs into scalable products.
  • Drive execution across the full product development lifecycle, from discovery and technical design through launch, iteration, and optimization.
  • Help define technical strategy, making thoughtful tradeoffs across user experience, reliability, performance, and speed of delivery.
  • Build reusable capabilities that serve users across customers rather than one-off customer implementations.
  • Stay close to users and customers, using feedback and product outcomes to guide priorities.
  • Support and mentor engineers through technical guidance, feedback, and career development.
  • Maintain a high engineering bar while fostering a culture of ownership, velocity, and customer focus.

Desired Qualifications

  • Experience leading teams working on AI systems, large language model applications, or agentic workflows.
  • Prior experience working with multimodal models.
  • Experience building products in new markets or scaling enterprise systems with demanding reliability and correctness requirements.

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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