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Agent Deployment Manager

Eloquentai · San Francisco

onsiteunknownPosted Jul 22, 2025PythonTypeScriptReactLLMsprompt engineering

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About this role

## Agent Deployment Manager — Eloquent AI ### About Eloquent AI Eloquent AI is building the next generation of **AI Operators**—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes beyond chat: it can **see, read, click, type, and make decisions**, helping automate work in **regulated, high-stakes environments**. We already power leading financial institutions and insurers. ### Your Role As an **Agent Deployment Manager**, you’ll lead the **end-to-end deployment** of AI Agents and Operators into enterprise environments. You’ll work directly with customers to scope use cases, manage configurations, monitor performance, and ensure successful go-lives. This is a **customer-facing, deployment-focused** role for someone who can translate business needs into system logic and coordinate across teams to deliver real-world value. ### What You’ll Do - Manage the full deployment lifecycle of AI Operators—from **kick-off to go-live**—with enterprise customers - Partner with customers to understand business processes, scope requirements, and align on deployment goals and success criteria - Coordinate **configuration, testing, and validation** of Operators using internal tools and prompt design frameworks - Collaborate cross-functionally with **Product, Engineering, and AI** teams to resolve edge cases and ensure long-term success - Participate in a **24/7 on-call rotation**, coordinating responses to critical customer incidents - Act as a first responder, owning investigation and coordination end-to-end (including engaging the right teams) - Improve deployment playbooks, escalation processes, and operational readiness over time ### What You’ll Bring - **3–5 years** of experience in solution delivery, implementation, or technical project management in **B2B SaaS** - **At least 1 year** hands-on experience working with **LLMs** (agent behavior, prompt iteration, system constraints) - Ability to map complex workflows into structured logic and work closely with technical teams to implement them - Strong communication and organizational skills for customer meetings, timeline management, and execution - A background in **Data Science, Computer Science, Engineering, or another STEM field** (or equivalent practical experience) ### Bonus Points If… - Hands-on coding/scripting experience with **Python**, plus comfort reading production code in **React** and **TypeScript** - Experience deploying AI-powered tools, chat-based interfaces, or automation products - Experience delivering projects in **fintech, insurance, banking, or other regulated industries** - Comfortable operating in high-ambiguity, fast-moving environments where **customer impact and reliability** come first

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