Director of Customer Engineering, Agent Builder

In this role, you will

• Lead and scale a high-performing delivery org

  • Own end-to-end execution of AI agent deployments for enterprise customers across a portfolio, from scoping through launch and iteration.
  • Build, lead, and develop a team of Agent Builders; hire, coach, and set a high bar for quality, velocity, and customer outcomes.
  • Establish delivery operating rhythms (planning, reviews, retros), capacity planning, and forecasting to ensure predictable execution.

• Drive executive-level customer engagements

  • Interface with senior technical stakeholders and executives to define success criteria, align on constraints (security/compliance), and drive delivery against timelines.
  • Lead complex escalations and unblock cross-functional teams when quality, timelines, or customer outcomes are at risk.
  • Translate customer needs into crisp internal documentation and execution plans across Product/Engineering/GTM.

• Create repeatable playbooks and scale mechanisms

  • Define and standardize delivery methodologies and artifacts (e.g., AOP quality bar, launch readiness checklists, iteration loops).
  • Establish best practices for evaluation and guardrails to ensure safe, compliant, and predictable agent performance in real-world scenarios.
  • Improve tooling and processes to reduce time-to-launch and increase reliability across deployments.

• Influence the platform roadmap through deployment insights

  • Identify recurring product/platform gaps and drive prioritization with Engineering and Product leadership.
  • Partner with internal teams to turn real customer needs into platform improvements that compound across deployments.

Your background looks something like this

• 10+ years of relevant experience in technical, customer-facing roles (e.g., forward-deployed engineering, solutions engineering, technical consulting, implementation engineering, technical product/PM, or similar).
• 5+ years of people management experience, including hiring, coaching, performance management, and building high-performing teams; ideally experience leading senior ICs and/or managers.
• Strong technical foundation—comfortable working with APIs, integrations, and complex systems; able to go deep to diagnose issues and guide solution architecture.
• 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 execution plans, and drive delivery.
• Comfort operating in fast-moving, ambiguous environments where you build structure while maintaining momentum.

Even better if you have

• Experience deploying LLM-based products or AI agents in production (prompting, evaluation, guardrails, tooling, workflow design).
• Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and security/compliance considerations.
• Strong product instincts—ability to define success metrics, write crisp requirements, and contribute customer insight back into product roadmap.
• Experience scaling a delivery function from high-touch execution to repeatable playbooks and durable operating cadence.

Compensation

$250K – $320K + Equity