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Agent Manager Jobs in Dallas, TX (NOW HIRING)

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Agent Manager information

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$11

$26

$58

How much do agent manager jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for agent manager in Dallas, TX is $26.23, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $30.19 per hour, depending on experience, location, and employer.

What does an agent manager do?

As an Agent Manager, you'll play a key role in mentoring and supporting your team by setting clear goals, providing regular feedback, and facilitating ongoing training. You'll monitor individual and team performance metrics, identify areas for improvement, and implement strategies to boost productivity and morale. Regular one-on-one coaching sessions and team meetings are common, fostering open communication and collaboration. This hands-on approach helps agents overcome challenges, stay motivated, and consistently meet or exceed targets.

What skills and qualifications are needed to be an agent manager?

To thrive as an Agent Manager, you need strong leadership, strategic planning, and supervisory experience, often supported by a bachelor’s degree in business, management, or a related field. Familiarity with CRM software, performance analytics tools, and workforce management systems is typically required. Exceptional communication, conflict resolution, and motivational skills help Agent Managers build high-performing teams and navigate complex interpersonal dynamics. These skills and qualities are crucial for driving team success, meeting organizational goals, and ensuring efficient, effective agent operations.

What is the difference between Agent Manager vs Agent Coordinator?

AspectAgent ManagerAgent Coordinator
CredentialsRelevant industry certifications, management experienceCustomer service or administrative certifications
Work EnvironmentOversees teams, manages client accountsSupports agents, handles scheduling and communication
Employer & Industry UsageInsurance, real estate, travel agenciesInsurance agencies, call centers, real estate firms
Search & Comparison IntentLeadership, management, team oversightAdministrative support, coordination roles

Agent Managers focus on leading and managing agent teams, ensuring client satisfaction and meeting sales targets. Agent Coordinators handle administrative tasks, support agents with scheduling and communication. While both roles work closely with agents, the Agent Manager has a broader leadership role, whereas the Agent Coordinator provides essential operational support.

How to become an agent manager?

To become an agent manager, candidates typically need several years of experience in sales, customer service, or related roles, along with strong leadership and communication skills. A bachelor's degree in business, management, or a related field is often preferred, and relevant certifications or training in management can enhance prospects. Developing skills in team leadership, conflict resolution, and operational oversight is essential for advancing to this position.

What are the most commonly searched types of Agent jobs in Dallas, TX?

The most popular types of Agent jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Agent Manager jobs?

Cities near Dallas, TX with the most Agent Manager job openings:

Agent Manager jobs near you
Infographic showing various Agent Manager job openings in Dallas, TX as of August 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $54,557 per year, or $26.2 per hour.

Senior Full Stack Engineer - AI Platform & Agent Orchestration

Anblicks

Dallas, TX • On-site

Other

Posted yesterday

New

Job description

Job Title: Senior Full Stack Engineer - AI Platform & Agent Orchestration

Location: Dallas, TX

Role Summary

We are seeking a Senior Full Stack Engineer with strong analytical and problem-solving skills to build AI-enabled SDLC platform capabilities. The engineer will develop backend services, user interfaces, agent orchestration flows, skills, integrations, automation pipelines, and pilot-ready features that support autonomous software delivery with human checkpoints.

Key Responsibilities

  • Design and develop cloud-native services, APIs, workflow interfaces, dashboards, and agent management capabilities.
  • Build and enhance AI skills, tools, agents, and orchestration flows for planning, design, coding, review, testing, and release of workflows.
  • Integrate LLM services with enterprise systems, repositories, CI/CD pipelines, Jira, Azure DevOps, GitHub, and internal knowledge sources.
  • Implement memory, retrieval, artifact management, audit trail, and workflow state capabilities in collaboration with the Technical Lead and AI Engineer.
  • Write clean, secure, testable, and maintainable code with automated testing and CI/CD practices.
  • Troubleshoot agent execution issues, API failures, integration defects, performance bottlenecks, and quality concerns.
  • Support pilot implementation, end-to-end scenario validation, demo preparation, telemetry capture, and backlog refinement.

Required Qualifications

  • 10+ years of full stack engineering experience delivering enterprise applications.
  • Strong analytical, debugging, and problem-solving mindset.
  • Hands-on Python engineering experience with API development and service integration.
  • Experience building scalable frontend applications and reusable UI components.
  • Working knowledge of AI agent orchestration, LLM APIs, tool calling, RAG concepts, prompt engineering, and workflow automation.
  • Experience with Agile delivery, code reviews, automated testing, CI/CD, and collaborative engineering practices.

Technical Skills

  • Backend: Python, FastAPI, REST APIs, microservices, event-driven integrations
  • Frontend: React.js, TypeScript, Next.js, modern UI frameworks, dashboards
  • Cloud/Ops: AWS, Docker, CI/CD, GitHub, GitHub Actions, Azure DevOps, logging, monitoring and deployment automation.

Preferred Qualifications

  • Experience with LangGraph, LangChain, CrewAI, or comparable workflow orchestration tools.
  • Experience with vector databases, embeddings, context retrieval, and memory-backed AI applications.
  • Exposure to AI-enabled developer productivity platforms, code assistants, and agentic SDLC patterns.
  • Ability to independently convert business and platform requirements into working features and integrations.

Apply