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Chatbot Manager Jobs in Texas (NOW HIRING)

Intellectt INC

IT Project Manager

Austin, TX · On-site

$97K - $115K/yr

Exposure to Chatbot / Voicebot implementations * Integration experience with SAP C4C or Salesforce Service Cloud * Ability to manage global teams and end-to-end delivery * This role involves leading ...

Forhyre

Test Automation - Manager

Plano, TX

$44 - $58.25/hr

As the Test Automation Manager, you will be responsible for leading and managing our automation ... C#, Chatbot Testing, ComputerVision Testing, Cypress, Katalon, MBT, ML/NLP Testing, PTF, RPA ...

Forhyre

Test Automation - Manager

Dallas, TX

$45.50 - $60/hr

As the Test Automation Manager, you will be responsible for leading and managing our automation ... C#, Chatbot Testing, ComputerVision Testing, Cypress, Katalon, MBT, ML/NLP Testing, PTF, RPA ...

Gartner

Director, Data Science

Irving, TX · Remote

Architect AI-powered chatbot systems including intelligent search, recommendation engines, context ... least 3 years managing data science and engineering teams. * Master's Degree or PhD in a ...

Photon

Sr Business Analyst | Onsite | Dallas

Dallas, TX · On-site

$91K - $118K/yr

... success in implementing ChatBot projects. The ideal candidate will have a comprehensive ... Identify and manage project risks, issues, and dependencies, and develop contingency plans where ...

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

... management, slot filling, and rich fulfillment. * Demonstrated ability to leverage state-of-the-art NLP, LLM, and GenAI models on Vertex AI to enhance chatbot capabilities, such as complex intent ...

1 point system

Sr. Full-Stack

Houston, TX · On-site

RAG patterns or chatbot development * Understanding of Azure ecosystem basics (especially pipelines ... Exposure to model management and automation pipelines * Familiarity with memory integration ...

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Chatbot Manager information

What is the difference between Chatbot Manager vs Chatbot Developer?

AspectChatbot ManagerChatbot Developer
Primary RoleOversees chatbot projects, manages teams, and ensures chatbot performance aligns with business goals.Designs, codes, and implements chatbot functionalities and features.
Required SkillsProject management, communication, understanding of AI and NLP concepts.Programming languages (Python, JavaScript), AI/NLP development skills.
Work EnvironmentTypically in managerial or coordination roles within tech or customer service industries.Hands-on coding and development in software or AI teams.
Common CertificationsProject management certifications, AI/NLP courses.Programming certifications, AI/NLP training.

While a Chatbot Manager oversees the overall chatbot strategy and team, a Chatbot Developer focuses on building and coding the chatbot functionalities. Both roles often collaborate but differ in their core responsibilities and skill sets.

What is a chatbot manager?

A Chatbot Manager is a professional responsible for overseeing the development, deployment, and optimization of chatbots for organizations. They coordinate between technical teams, content creators, and stakeholders to ensure chatbots provide effective customer service, support, or engagement. Their duties include analyzing chatbot performance, managing updates, and implementing improvements based on user feedback and analytics. Chatbot Managers also stay updated with the latest AI and conversational technologies to enhance user experience.

What are some common challenges faced by a chatbot manager when optimizing bot performance, and how are they typically addressed?

A Chatbot Manager often encounters challenges such as ensuring the chatbot accurately understands user intent, maintaining up-to-date responses, and handling complex or ambiguous queries. To address these, managers regularly analyze chat logs for patterns, work closely with data analysts and conversational designers to refine scripts, and implement continuous training for the chatbot using real user data. Collaborating with customer support and product teams helps ensure the bot remains aligned with evolving business needs and delivers consistent, high-quality user experiences.

What are the key skills and qualifications needed to thrive as a chatbot manager?

To thrive as a Chatbot Manager, you need expertise in conversational design, data analysis, and a solid understanding of AI and natural language processing, often backed by a degree in computer science or a related field. Familiarity with chatbot platforms (like Dialogflow or Microsoft Bot Framework), analytics tools, and experience with APIs or scripting languages is typically required. Strong communication, problem-solving, and project management skills help you collaborate across teams and optimize user experiences. These skills are crucial for developing effective, user-friendly chatbots that drive customer engagement and achieve business objectives.
What are the most commonly searched types of Chatbot jobs in Texas? The most popular types of Chatbot jobs in Texas are:
What are popular job titles related to Chatbot Manager jobs in Texas? For Chatbot Manager jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Chatbot Manager jobs in Texas look for? The top searched job categories for Chatbot Manager jobs in Texas are:
What cities in Texas are hiring for Chatbot Manager jobs? Cities in Texas with the most Chatbot Manager job openings:
Chatbot Manager jobs near you
Infographic showing various Chatbot Manager job openings in Texas as of August 2026, with employment types broken down into 69% Full Time, 10% Part Time, and 21% Contract. Highlights an 56% In-person, 9% Hybrid, and 35% Remote job distribution.

Manager, Intelligent Communication Systems

San Jacinto College

Pasadena, TX • On-site

Other

Posted 10 days ago

San Jacinto College rating

8.9

Company rating: 8.9 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

34th of 616 rated colleges and universities

Job description

PRIMARY FUNCTION: The Manager, Intelligent Communications supports the Director in overseeing the College's UCaaS and CCaaS technologies that supports student and the community communications and the College's contact center, with responsibility for day-to-day operations, staff management, and overall performance. This role leads a team of analysts and serves as the primary point of contact for managed service support. Reporting to the Director, this role supports delivery of the College's Customer Experience (CX) strategy, artificial intelligence initiatives, and voice/telephony engineering. The position requires technical expertise in VoIP/SIP and strategic capabilities in AI, along with strong people leadership.

                   
Essential Job Functions:                    
 
AI Voice and Chatbot and Implementation & Technical Leadership:
  • Journey Mapping & Analysis: Using the College's CX strategy and a One-College design approach, assess the student and stakeholder journey using data and metrics to evaluate CX performance, identify friction points, and pinpoint improvement opportunities across digital environments.
  • AI Voice and Chatbot Design: Work with vendors to architect and deploy AI-driven Voice and Chatbots that optimizes seamless CX while balancing performance, latency, accuracy, cost, and operational complexity, particularly for chatbot functionality.
  • Vendor & Tool Management: Facilitate the evaluation and selection of AI chatbot and communication vendors, managing the lifecycle of chatbot products from design to production. 

Team Leadership:
  • Operational Oversight Support: Serves as the interim leader in the Director, Intelligent Communications absence. 
  • Mentor and Manage Team: Mentor and manage a team, setting high execution standards for model training, data modeling and conversational design.
  • Model Training & Accuracy: Responsible for ensuring labeling, validation, and training of AI models (specifically in NLP) to improve accuracy (e.g., reducing "confusion" metrics in bots).
  • Quality Control (RLHF): Ensure Reinforcement Learning from Human Feedback (RLHF) to optimize model performance, accuracy, and ethical alignment. 

Performance & Operational Metrics:
  • KPI Development: Define and measure success metrics (e.g., bot containment, containment, accuracy rates) to evaluate AI ROI.
  • System Performance Monitoring: Oversee the operational health of AI components (security, observability).
 
Human Resource and Performance Management:
  • Responsible for human resources management assigned to this position. This includes:
    • Lead, mentor, and supervise EIS leadership team, promoting performance and team empowerment.
    • Recommend staffing, contractor levels, budgets, resource forecasting, and organization structure to ensure optimum service delivery
    • Hire and train staff
    • Staff development
    • Ensure that performance management activities including evaluations and rating validations are completed in a timely manner
    • Ensure that staff issues within the team are addressed in accordance with the college's policies and procedures.
       
Additional Job Functions:        
  • Other duties as assigned

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