Decagon
conversational AI
CustomerEngineer,AgentBuilder
Neural analysis suggests this role is
optimal for Mid candidates.
“Customer Engineer, Agent Builder at Decagon. Skills: end-to-end execution of AI agent builds, technical delivery, customer-facing interaction, agent configuration, build execution. end-to-end execution of AI agent builds for strategic customers. hands-on work required to deliver best-in-class agents”
What You'll Achieve.
deliver agents that meaningfully impact the customer’s business; optimize quality, reliability, and business outcomes; ensure safe, compliant, and predictable agent performance; deliver consistent, repeatable, best-in-class agent builds
Industry & Context.
What They're Looking For.
Must Have
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), 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
Nice to Have
Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.), Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations, A Computer Science, Engineering, or Math degree, or equivalent technical experience, product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap
What You'll Do.
end-to-end execution of AI agent builds for strategic customers
hands-on work required to deliver best-in-class agents
writing and configuring key components
validating integrations
ensuring agents perform reliably at scale
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.
configure agent behavior to optimize quality
and business outcomes
Configure and validate guardrails to ensure safe
and predictable agent performance across real-world scenarios
and validate customer integrations (e.g.
build tools and workflows needed for successful deployments
Interface with senior technical stakeholders at customers to define success criteria
and drive delivery against timelines
Translate customer needs into clear internal documentation
run tight feedback loops with Engineering to drive platform improvements
Partner closely with APMs
and Go-To-Market teams to deliver consistent
best-in-class agent builds
How You'll Work.
Team & Collaboration
partnering with customers and internal teams to define success; translate requirements into build plans; work closely with Agent PMs, Agent Success, Engineering, and GTM teams to create tight feedback loops; surfacing gaps; influencing the evolution of Decagon’s agent-building platform; Partner closely with APMs, Engineering, Design, and Go-To-Market teams
Communication Scope
communicate clearly with senior technical stakeholders; Interface with senior technical stakeholders at customers
Process & Methodology
translate requirements into implementation plans, drive delivery against timelines, define success metrics
Full Job Description
About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Over the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require hands-on execution, rigorous iteration, and deep technical delivery to reach enterprise-grade performance. We’re creating an Agent Builder Org: a specialized technical delivery team responsible for end-to-end execution of AI agent builds. Agent Builders own the hands-on work required to deliver best-in-class agents—writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Builders are technical and customer-facing: you’ll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build execution. About the Role As a Customer Engineer, Agent Builder, you will be responsible for end-to-end execution of
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