Agent Product Manager

XtendOps is hiring an Agent Product Manager to own the end-to-end technical implementation of AI agents in client environments. The role translates client needs into implementation plans, coordinates engineering and AI Operations, leads technical client conversations, and feeds implementation learnings back into the product.

Responsibilities:

• Own the end-to-end technical implementation of AI agents built on the platform in client environments
• Define the solution, technical requirements, deliverables and success criteria, and translate them into a sequenced implementation plan
• Map the implementation integration surface, including the systems, APIs and data sources each agent must connect to
• Manage the collection of required access, credentials, approvals and technical inputs so delivery remains unblocked
• Coordinate with engineering on integrations, provisioning, configuration, testing, dependencies and implementation sequencing
• Coordinate with AI Operations on context engineering, ensuring each agent has the appropriate knowledge, retrieval mechanisms and guardrails
• Act as the client-facing technical owner by leading technical conversations, managing expectations and controlling scope throughout delivery
• Build and maintain internal tooling that streamlines the implementation workflow, using AI-driven development where appropriate
• Maintain a strong working understanding of the platform architecture, including identity, tenancy, module provisioning, the launcher, integrations and module connectivity
• Track implementation progress and delivery metrics, surface risks and blockers early, and report status clearly to clients and leadership
• Maintain accurate implementation documentation, runbooks and release notes
• Feed implementation learnings back into the product, identifying recurring integration patterns, gaps and opportunities to improve the platform

Requirements:

• Experience owning technical implementations, SaaS deployments, integrations or complex client delivery
• Ability to translate business and client requirements into technical scope, deliverables, success criteria and implementation plans
• Working knowledge of APIs, data sources, authentication, provisioning, configuration and software testing
• Strong cross-functional coordination skills across clients, engineering, product and AI or data teams
• Ability to lead technical client conversations, manage expectations and protect delivery scope
• Hands-on comfort with AI-assisted development and internal tooling
• Excellent documentation, communication, risk management and organizational skills