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Manager Chatbot Conversational Ai Jobs (NOW HIRING)

Forhyre

Product Manager - Conversational AI

Mclean, VA · On-site

Join ChatBotz.ai, an innovative company at the forefront of developing intelligent chatbot solutions. We are seeking a highly skilled and motivated Product Manager to lead our Conversational AI team.

Forhyre

Product Manager - Conversational AI

Dallas, TX · On-site

Join ChatBotz.ai, an innovative company at the forefront of developing intelligent chatbot solutions. We are seeking a highly skilled and motivated Product Manager to lead our Conversational AI team.

Forhyre

OH · On-site

Join ChatBotz.ai, an innovative company at the forefront of developing intelligent chatbot solutions. We are seeking a highly skilled and motivated Product Manager to lead our Conversational AI team.

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How much do manager chatbot conversational ai jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager chatbot conversational ai in the United States is $167,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $167,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is a manager chatbot conversational AI?

A Manager of Chatbot Conversational AI oversees the development, implementation, and optimization of AI-powered chatbots for organizations. They lead teams of AI specialists, data scientists, and developers to design chatbot solutions that improve customer engagement and automate communication processes. Their responsibilities include setting project goals, ensuring chatbot accuracy and reliability, and staying updated with the latest advancements in conversational AI. Additionally, they collaborate with other departments to integrate chatbots seamlessly with business operations.

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

To thrive as a Manager of Chatbot Conversational AI, you need expertise in natural language processing (NLP), AI technologies, and project management, often supported by a degree in computer science or a related field. Familiarity with tools like Dialogflow, Rasa, or Microsoft Bot Framework, as well as experience with analytics platforms, is typically required. Strong leadership, communication, and problem-solving skills help manage teams and align technical solutions with business goals. These competencies are essential for delivering effective, user-centric chatbot systems that drive organizational success.

How does a manager chatbot conversational AI typically collaborate with cross-functional teams to enhance chatbot performance?

A Manager of Chatbot Conversational AI frequently partners with product managers, UX designers, developers, and data scientists to refine and optimize chatbot interactions. This collaboration involves aligning chatbot capabilities with business goals, ensuring smooth handoffs between technical and non-technical teams, and incorporating user feedback for continuous improvement. Effective communication and project management skills are essential, as the manager must coordinate updates, prioritize new features, and monitor performance metrics collaboratively. This cross-functional teamwork is key to delivering seamless and engaging AI-driven user experiences.

What is the difference between Manager Chatbot Conversational Ai vs Customer Support Manager?

AspectManager Chatbot Conversational AiCustomer Support Manager
CredentialsTechnical certifications, AI, or machine learning knowledgeCustomer service, management, or business degrees
Work EnvironmentTech teams, AI development labs, digital platformsCustomer service centers, offices, client-facing settings
Employer & IndustryTech companies, AI startups, e-commerceRetail, telecom, financial services, any customer-facing industry
Search & Comparison IntentUnderstanding AI roles, technical skills, automationCustomer service strategies, team management, client satisfaction

The Manager Chatbot Conversational Ai focuses on developing and managing AI-driven chatbots, requiring technical skills in AI and machine learning. In contrast, a Customer Support Manager oversees customer service teams, emphasizing communication, problem-solving, and client relations. Both roles are vital in enhancing customer experience but differ significantly in skills, environment, and industry focus.

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Manager Chatbot Conversational Ai jobs near you
Infographic showing various Manager Chatbot Conversational Ai job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $167,480 per year, or $80.5 per hour.

Chatbot Conversational AI Developer

IT America Inc

Hartford, CT • On-site

$50.75 - $69.75/hr

Contractor

Re-posted 23 days ago

Job description

Position               : Chatbot Conversational AI Developer (IBM Watson, Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai, NLP)

Location              : Hartford, CT (Hybrid)

Duration              : Long term contract

Primary Skill Set              : IBM Watson

Secondary Skillset           : Chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai)

Job Description:

  • Ability to design and develop AI conversations with responses coming from outside APIs via cloud function or integration with other systems
  • Applying clean coding skills and best practices
  • Collaborating with user interface designers and backend application integration teams to understand the mechanisms through which the conversational AI solution will be used and what is needed to fulfill intents
  • Collaborating with teams and other developers to design, develop, test, deploy and maintain a chatbot
  • Troubleshoot bots, debug, and deploy chatbots on various channels (voice/chat)
  • Leveraging AI, NLP Technologies and cognitive machine learning to develop chatbot applications
  • Integrate chatbot solutions with multiple platforms
  • Enhancing user effectiveness of the conversational agents with the help of advanced technologies
  • Continuously develop knowledge of emerging technologies and analytics techniques and support the pursuit of business development opportunities
  • Tuning and enhancing Speech to Text models

Required Qualifications:

  • 5+ years software delivery experience
  • 3+ years of Chatbot development experience with IBM Watson Assistant, or any other similar chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai)
  • 3+ years training and improving intent recognition by curating the appropriate training data sets
  • 3+ years applying Conversational AI best practices (e.g. NLP and training data best practices)
  • 1+ years of experience in CICD, Git, unit-testing and source code management
  • 1+ years of knowledge of cloud development and deployment principles
  • 1+ years of working in an Agile environment, with knowledge in DevOps approaches, end-to-end software development processes and business requirements

Preferred Qualifications:

  • Experience with working on watsonx Assistant and watsonx Orchestrate
  • Backend (server side) development experience either in Java, node.js
  • Multi-language background and experience working with programming languages such as Python, Java, Javascript/Typescript
  • Experience with IBM Voice gateway and / or IBM Discovery is a plus
  • Knowledge of automated speech recognition, including SSML tagging for TTS