Agent Deployment Manager

Responsibilities

• 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-facing incidents
• Act as a first responder during incidents, taking ownership of investigation and coordination
• Contribute to improving deployment playbooks, escalation processes, and operational readiness

Requirements

• 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 working with LLMs, including a solid understanding of agent behaviour, prompt iteration, and system constraints
• Ability to map complex workflows into structured logic and work closely with technical teams to implement them effectively
• 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
• Background in Data Science, Computer Science, Engineering, or another STEM field, or equivalent relevant practical experience

Nice-to-Haves

• Hands-on coding or scripting experience with Python, React, and TypeScript
• Experience deploying AI-powered tools, chat-based interfaces, or automation products
• Delivered projects in fintech, insurance, banking, or other regulated industries
• Comfortable operating in high-ambiguity, fast-moving environments