At Eloquent AI, we build autonomous AI agents engineered specifically for regulated industries, tackling unique technical challenges like ensuring real-time compliance and eliminating hallucinations in high-stakes interactions.

We believe that every conversation matters—whether it’s closing a deal, assisting a high-value customer, or providing mission-critical support. That’s why we develop autonomous AI agents that don’t just chat, but empathise, take action, and deliver real business impact.

As a fast-growing global company headquartered in San Francisco, we have a strong presence across multiple regions. Joining Eloquent AI means collaborating with some of the brightest minds in AI, engineering, and business to tackle complex challenges and drive real-world impact for leading enterprises.

Meet Eloquent AI

At Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments.

We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution.

Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services.

Your Role

As an Agent Deployment Manager at Eloquent AI, you’ll be responsible for leading the end-to-end deployment of our AI Agents and Operators into enterprise environments. You’ll work directly with leading financial institutions to scope use cases, manage configurations, monitor performance, and ensure successful go-lives.

This is a customer-facing, deployment-focused role ideal for someone who excels at translating business needs into system logic, coordinating across teams, and ensuring that AI-powered workflows deliver real-world value.

What You'll Do

• You'll manage the full deployment lifecycle of AI Operators, from kick-off to go-live, with enterprise customers

• Work with customers to understand business processes, scope requirements, and align on deployment goals

• 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

What You’ll Bring

• 2–4 years of experience in solution delivery, implementation, technical project management, or customer success in a B2B SaaS environment.

• At least 1 year of hands-on experience working with LLMs, including strong understanding of agent design, prompt engineering and iteration.

• Ability to map complex workflows to structured logic, and partner with technical teams to configure accordingly.

• Strong communication and organisational skills to conduct customer meetings, manage timelines, and drive execution. A strong sense of ownership to track results, and ensure nothing falls through the cracks.

Bonus Points If…

• You have experience deploying AI-powered tools, chat-based interfaces, or automation products.

• You’ve worked with internal configuration platforms, dashboards, APIs, or light scripting (e.g. TypeScript, React, JSON).

• You’ve delivered projects in fintech, insurance, banking, or other regulated industries.

• You’ve contributed to play books, templates, or scalable deployment processes.

• ​You’re comfortable operating in high-ambiguity, fast-moving environments where customer impact comes first.

At Eloquent AI, our proprietary Agentic OS combines reinforcement learning with deep evaluations, enabling agents to autonomously ingest domain-specific knowledge and self-correct through internal reward modeling.

Our tech stack leverages React, TypeScript, and Node.js on the front end, paired with scalable Python and Go-based backend services deployed across AWS, GCP, and Azure.

If you’re excited to solve complex problems at the intersection of reliable AI, compliance, and real-time enterprise systems, you’ll find impactful challenges here every day.