Agent Deployment Manager

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.