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Chatbot Manager Jobs (NOW HIRING)

Sarian, Inc.

AI Chatbot Developer

Pennington, NJ · On-site

AI Chatbot Developer Location: Pennington, NJ Fulltime position Onsite position JD: Skill: AI ... Skilled in prompt engineering and managing conversational context. * Coding Assistants: Practical ...

SmartIPlace

AI Chatbot Developer[Remote]

Columbus, OH · Remote

... indexes, managing data sources, and tuning intent matches to improve accuracy and relevance of results within the chatbot context. · Designing conversational flows that provide a seamless and ...

Two Dots

Chatbot Engineer

San Francisco, CA · On-site

... context management • Ability to differentiate between workflow that makes LLM calls and true ... for ambiguous chatbot engineering Preferred : • Experience with TypeScript or other strong ...

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How much do chatbot manager jobs pay per year?

As of Jun 1, 2026, the average yearly pay for chatbot manager in the United States is $81,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Chatbot Manager, and why are they important?

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 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 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 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.

More about Chatbot Manager jobs
What cities are hiring for Chatbot Manager jobs? Cities with the most Chatbot Manager job openings:
What are the most commonly searched types of Chatbot jobs? The most popular types of Chatbot jobs are:
What states have the most Chatbot Manager jobs? States with the most job openings for Chatbot Manager jobs include:
What job categories do people searching Chatbot Manager jobs look for? The top searched job categories for Chatbot Manager jobs are:
Chatbot Manager jobs near you
Infographic showing various Chatbot Manager job openings in the United States as of May 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 17% Hybrid, and 83% Remote job distribution, with an average salary of $81,677 per year, or $39.3 per hour.

RASA Chatbot Developer

Echo IT Solutions

Dallas, TX

Other

Posted 24 days ago

Job description

Rasa Chatbot Developer

The RASA Chatbot Developer will be responsible for developing and deploying advanced AI chatbots and voice assistants using RASA, with a focus on scalable and efficient solutions for diverse business use cases. Key responsibilities include integrating NLP and NLG, managing deployments through CI/CD tools, and working on complex technical issues related to chatbot performance and scalability.

Roles & Responsibilities:

  • Develop RASA chatbots and voice assistants across various platforms
  • Work on chatbot framework/architecture using open-source tools
  • Implement NLP/NLG for chatbots
  • Integrate chatbots with management dashboards and CRMs
  • Troubleshoot and resolve technical design issues
  • Design scalable AI and client solutions
  • Ensure chatbot optimization for speed and scalability
  • Provide innovative solutions for improved user experience
  • Multilingual chatbot experience (preferred)
  • Human escalation integration

Qualifications & Skills:

  • B.Tech/B.E./M.Tech or related technical discipline
  • Minimum 6-7 years of experience in RASA chatbot development
  • RASA enterprise experience (mandatory)
  • Hands-on experience with live agent integration
  • Conversational AI, client, and deep learning experience
  • Proficient in Python, SQL/NoSQL databases, and Linux shell commands
  • Experience integrating with platforms like Facebook Messenger, WhatsApp, and enterprise systems such as Salesforce or Zendesk
  • Strong foundation in AI tools (TensorFlow, Spacy, NLU) and RESTful APIs

Must-Have Skills:

  • RASA enterprise chatbot development experience
  • Strong Python programming skills
  • Familiarity with chatbot frameworks and AI tools
  • Understanding of HTTPS and enterprise security

Apply