Enterprise AI Agent Deployment Lead

Eloquent AI; San Francisco (CA); On-site; USD 130,000 - 190,000; Full time

Job summary

Eloquent AI is seeking an Agent Deployment Manager in San Francisco to lead end-to-end deployment of AI Agents and Operators into enterprise environments. You will scope use cases, manage configurations, monitor performance, and ensure successful go-lives.

This customer-facing role requires translating business needs into system logic, coordinating across Product, Engineering, and AI teams, and driving reliable, value‑driven deployments for regulated industries.

Qualifications

• 3–5 years of experience in solution delivery, implementation or technical project management in a B2B SaaS environment.
• At least 1 year of hands-on experience with LLMs, including agent behaviour, prompt iteration, and system constraints.
• Ability to map complex workflows into structured logic and work with technical teams to implement them.
• Strong communication and organisational skills for customer meetings, timelines and execution.
• Background in Data Science, Computer Science, Engineering, or another STEM field, or equivalent practical experience.

Responsibilities

• Manage full deployment lifecycle of AI Operators from kick-off to go-live for enterprise customers.
• Collaborate with customers to understand processes, scope requirements, and deployment goals.
• Coordinate configuration, testing, and validation of Operators using internal tools and prompt design frameworks.
• Partner with Product, Engineering, and AI teams to resolve edge cases and ensure long-term success.
• Participate in a 24/7 on-call rotation.
• Contribute to improving deployment playbooks, escalation processes, and readiness.

Skills

Solution delivery

Technical PM

B2B SaaS

LLMs and agent behavior

Communication

Structured logic

Education

B.S. in Computer Science / Engineering or related STEM field

Tools

Python

React

TypeScript

Job description

Eloquent AI is seeking an Agent Deployment Manager in San Francisco to lead end-to-end deployment of AI Agents and Operators into enterprise environments. You will scope use cases, manage configurations, monitor performance, and ensure successful go-lives.

This customer-facing role requires translating business needs into system logic, coordinating across Product, Engineering, and AI teams, and driving reliable, value‑driven deployments for regulated industries.