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Manager Chatbot Conversational Ai Jobs (NOW HIRING)

Checkr

AI Conversation Designer

Denver, CO · On-site

What you bring * 3-5 years of experience in conversational AI, knowledge management, chatbot administration, or similar roles managing customer-facing digital channels. * Hands-on experience with ...

Triveni IT

AI/Chatbot Developer

Princeton, NJ · On-site

As soon as possible Sr. developers with experience in conversational AI system (chatbot) from any one of the big vendors. The main vendors for this type of solution are: * IBM (Watson) * Google ...

Stateside

Lead Conversational AI Developer

Adelphi, MD · On-site

$130 - $145/hr

Collaborate with cross‑functional teams (product managers, designers, UX/UI specialists) to ... Leverage generative AI services to enhance chatbot responses with creativity and personalization.

New

TEKsystems

Conversational AI Product Manager

Stamford, CT · Hybrid

$65 - $80/hr

Top Skills' Details: 7+ years of experience in conversational AI, chatbot platforms, digital customer experience, or digital sales channel management Experience owning and optimizing customer-facing ...

TEKsystems

Conversational AI Product Manager

Stamford, CT · Hybrid

$65 - $80/hr

Top Skills' Details: 7+ years of experience in conversational AI, chatbot platforms, digital customer experience, or digital sales channel management Experience owning and optimizing customer-facing ...

Checkr

AI Conversation Designer

Denver, CO · On-site

$90K - $112K/yr

What you bring * 3-5 years of experience in conversational AI, knowledge management, chatbot administration, or similar roles managing customer-facing digital channels. * Hands-on experience with ...

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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.

More about Manager Chatbot Conversational Ai jobs

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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.

Solution Architect ( Conversational AI)

1 point system

Chicago, IL • On-site

$65 - $85.50/hr

Contractor

Re-posted 9 days ago

Job description

POSITION

Solution Architect ( Conversational AI)

LOCATION

Chicago, IL- Hybrid- LOCALS

DURATION

12+ Months

INTERVIEW TYPE

VISA RESTRICTIONS

NONE

REQUIRED SKILLS

Must Have:

  • Must have worked on at least one Conversational AI chatbot project
  • GenAI experience

Job Description

Solution Architect

  • Conversational AI / NLP Implementation:
    • Hands-on experience with NLP/NLU tools (e.g., Amazon Lex, Google Dialogflow, Rasa, Azure Bot Framework)
    • Exposure to Retrieval-Augmented Generation (RAG) models for dynamic, context-aware responses
    • Designed and deployed chatbot solutions across web and mobile platforms
  • Cloud Architecture:
    • Strong preference for AWS expertise-especially Lex, Lambda, S3, API Gateway, DynamoDB
    • Familiar with cloud-native services, including compute, storage, and networking architecture
  • Integration & DevOps:
    • Experience designing APIs and integrating chatbot applications with backend services
    • Familiarity with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (e.g., Terraform, CloudFormation)