Decagon

2 months ago

Customer Engineer, Agent Builder

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

End-to-end execution of AI agent builds for enterprise customers, translating requirements into build plans and delivering agents that impact the customer’s business by collaborating with cross-functional teams.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Key Responsibilities

•Own end-to-end execution of AI agent builds for enterprise customers, from initial scoping through launch and iteration.
•Write and maintain key agent-building artifacts (e.g., AOPs), and configure agent behavior to optimize quality, reliability, and business outcomes.
•Configure and validate guardrails to ensure safe, compliant, and predictable agent performance across real-world scenarios.
•Set up, test, and validate customer integrations (e.g., ticketing systems), including building tools and workflows needed for successful deployments.
•Interface with senior technical stakeholders at customers to define success criteria, gather requirements, and drive delivery against timelines.

Pay and Benefits

Salary: USD 175,000 - 230,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kParental Leave

Key Requirements

•5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar).
•Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end. Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration.
•Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.
•Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.

Experience:AILLMEnterprise software

Skills:CommunicationPresentationCollaborationProblem-solving

Languages:English

Tech Stack:APIsCodeIntegrationLLMsGuardrails

Company Brief

Decagon

Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2023

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Decagon

2 months ago

Customer Engineer, Agent Builder

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Design (Product/UX/UI/Visual)

Key Responsibilities

•Own end-to-end execution of AI agent builds for enterprise customers, from initial scoping through launch and iteration.
•Write and maintain key agent-building artifacts (e.g., AOPs), and configure agent behavior to optimize quality, reliability, and business outcomes.
•Configure and validate guardrails to ensure safe, compliant, and predictable agent performance across real-world scenarios.
•Set up, test, and validate customer integrations (e.g., ticketing systems), including building tools and workflows needed for successful deployments.
•Interface with senior technical stakeholders at customers to define success criteria, gather requirements, and drive delivery against timelines.

Pay and Benefits

Salary: USD 175,000 - 230,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kParental Leave

Key Requirements

•5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar).
•Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end. Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration.
•Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.
•Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.

Experience:AILLMEnterprise software

Skills:CommunicationPresentationCollaborationProblem-solving

Languages:English

Tech Stack:APIsCodeIntegrationLLMsGuardrails

Company Brief

Decagon

Builds conversational AI agents and a platform that automates customer support across chat, email, and voice, enabling brands to deliver concierge-level customer experiences at scale.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2023

Glassdoor: 3.9

Website LinkedIn Glassdoor