Director of Agent Deployment Engineering
$250k - $320k • San Francisco • FullTime
Posted 7mo ago
About the job
Decagon is a leading conversational AI platform that empowers brands to deliver concierge customer experiences through AI agents. We are building a future where customer interactions are redefined for faster resolutions and deeper relationships. This role is for a Director of Agent Deployment Engineering, a senior, customer-facing leadership position responsible for the technical delivery of AI agent builds for strategic enterprise customers. You will lead and scale a high-performing delivery organization, own end-to-end execution of AI agent deployments, and build the team, playbooks, and operating system required for scaling these efforts. This is an ideal role for a leader who thrives in fast-moving environments, enjoys shipping customer-facing technical work, and can balance hands-on problem-solving with structured execution at scale.
Responsibilities
- Lead and scale a high-performing delivery organization.
- Own end-to-end execution of AI agent deployments for enterprise customers, from scoping through launch and iteration.
- Build, lead, and develop a team of Agent Builders, focusing on quality, velocity, and customer outcomes.
- Establish delivery operating rhythms, capacity planning, and forecasting for predictable execution.
- Drive executive-level customer engagements, defining success criteria and aligning on constraints.
- 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.
- Create repeatable playbooks and scale mechanisms for delivery methodologies and artifacts.
- Establish best practices for evaluation and guardrails for safe, compliant, and predictable agent performance.
- Improve tooling and processes to reduce time-to-launch and increase reliability.
- Identify recurring product/platform gaps and drive prioritization with Product and Engineering leadership.
- Partner with internal teams to translate customer needs into platform improvements.
Requirements
- 10+ years of relevant experience in technical, customer-facing roles (e.g., forward-deployed engineering, solutions engineering, technical consulting, implementation engineering, technical product/PM).
- 5+ years of people management experience, including hiring, coaching, performance management, and building high-performing teams.
- Strong technical foundation, comfortable working with APIs, integrations, and complex systems.
- Experience delivering production-grade customer solutions requiring structured execution, testing, 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.
- Experience deploying LLM-based products or AI agents in production (prompting, evaluation, guardrails, tooling, workflow design).
- Experience with enterprise SaaS integrations and security/compliance considerations.
- Strong product instincts, ability to define success metrics, write crisp requirements, and contribute customer insight back into product roadmap.