Agent Product Manager

XtendOps; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

XtendOps, Inc. is seeking an Agent Product Manager to own the end-to-end technical implementation of AI agents within client environments.

You will translate client needs into executable plans and coordinate systems, access, and decisions for successful deployments. The role requires strong collaboration with engineering, product and AI teams, along with hands-on AI-assisted development and thorough documentation practices.

Qualifications

• 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.

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.

Skills

Technical implementations

SaaS deployments

Integrations

Client delivery

Job description

XO is an AI-powered business process outsourcing (BPO) company focused on modern customer experience across chat, email, and voice channels. The organization combines experienced CX operations with custom AI agents and its proprietary operating system, XOOS, to deliver faster, consistent support while keeping people in control of AI-driven workflows. XtendOps supports the full customer journey, including Digital CX, Back Office Support, Sales Outsourcing, Compliance, and Trust & Safety, serving clients at different stages of AI adoption. The company uses AI efficiencies to invest in its team through clear career paths and a strong, people-centric culture, resulting in tenured, highly qualified agents. This approach leads to engaged employees and more satisfied customers.

Role Overview

The Agent Product Manager will own the end-to-end technical implementation of AI agents built on our platform in client environments. Reporting to the Head of Implementations, this role translates client needs into executable implementation plans and coordinates the systems, people, access and decisions required to deliver successful deployments.

Location

We're hiring worldwide. What matters is the experience. You'll work with our teams across all our locations,so you need to be open to working an odd shift depending on your time zone.

Key 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.

Required experience and capabilities

• 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.

What success looks like

• Client implementations have clear scope, ownership, requirements, sequencing and success criteria.
• Access, integrations, dependencies and approvals are resolved before they block delivery.
• Engineering, AI Operations, clients and internal stakeholders remain aligned throughout implementation.
• Deployments are delivered reliably with accurate documentation, runbooks and status reporting.
• Recurring implementation lessons are converted into reusable platform capabilities and improved delivery processes.