Customer Engineer, Agent Builder

In this role, you will

• 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.
• Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements.
• Partner closely with APMs, Engineering, Design, and Go-To-Market teams to deliver consistent, repeatable, best-in-class agent builds.

Your background looks something like this

• 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).
• 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.

Even better if you 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.
• Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap.

Compensation

$175K – $230K • Offers Equity