Agent Deployment Manager

Eloquent AI; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Eloquent AI is seeking a deployment lead to drive enterprise AI agent deployments from kickoff to go-live, translating business processes into structured system behavior and ensuring reliable day-to-day operation.

You will coordinate cross-functional teams, manage requirements, configure and validate agents, and contribute to ongoing performance. A 24/7 on-call rotation and strong customer communication are core to this role.

Qualifications

• 3–5 years in solution delivery, implementation, or technical project management in B2B SaaS.
• At least 1 year of practical experience with large language models, including agent behavior, prompt iteration, and system limitations.
• Ability to turn complex workflows into structured logic and work with technical teams to implement it.
• Strong customer communication, organization, and ownership in managing meetings, timelines, and follow-through.
• STEM education or equivalent practical experience in a technical or engineering role.

Responsibilities

• Run the end-to-end deployment lifecycle with enterprise customers, including planning through launch.
• Map customer processes, clarify requirements, and agree on deployment goals and success measures.
• Configure, test, and validate agents using internal tools and prompt design methods.
• Coordinate with product, engineering, and AI teams to resolve edge cases and support ongoing performance.
• Join a 24/7 on-call rotation and contribute to operational readiness.
• Improve deployment guidance and escalation processes based on delivery experience.

Skills

Solution delivery experience

Technical project management

B2B SaaS

LLMs experience

Customer communication

Ownership

Education

STEM degree or equivalent

Tools

Python

React

TypeScript

Job description

Role overview

Lead customer deployments of AI agents and workflow operators in enterprise environments, from kickoff through go-live. You will translate business processes into structured system behavior, coordinate configuration and validation, and help ensure deployed workflows perform reliably in day-to-day operations.

Responsibilities

• Run the end-to-end deployment lifecycle with enterprise customers, including planning through launch.
• Map customer processes, clarify requirements, and agree on deployment goals and success measures.
• Configure, test, and validate agents using internal tools and prompt design methods.
• Coordinate with product, engineering, and AI teams to resolve edge cases and support ongoing performance.
• Join a 24/7 on‑call rotation and contribute to operational readiness.
• Improve deployment guidance and escalation processes based on delivery experience.

Requirements

• 3–5 years in solution delivery, implementation, or technical project management in B2B SaaS.
• At least 1 year of practical experience with large language models, including agent behavior, prompt iteration, and system limitations.
• Ability to turn complex workflows into structured logic and work with technical teams to implement it.
• Strong customer communication, organization, and ownership in managing meetings, timelines, and follow-through.
• STEM education or equivalent practical experience in a technical or engineering role.

Nice to have

• Python scripting or coding experience; familiarity with React and TypeScript or production code.
• Experience deploying AI products, conversational interfaces, or automation tools.
• Delivery experience in financial services, insurance, banking, or another regulated field.
• Comfort working in ambiguous, fast-moving settings where customer impact and reliability matter.