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Chatbot Manager Jobs in Michigan (NOW HIRING)

Software People, Inc.

AI Developer

Lansing, MI · On-site

... building, managing, and optimizing chatbot applications for different platforms (web, mobile, voice assistants). • Experience in working with RESTful APIs and webhooks to enable backend ...

FastTek

Business Analyst

Warren, MI · On-site

We are seeking a detail-oriented and collaborative Knowledge Architect to lead end-to-end knowledge management efforts that ultimately power the chatbot. * This includes partnership with COEs on the ...

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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, 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 the most commonly searched types of Chatbot jobs in Michigan? The most popular types of Chatbot jobs in Michigan are:
What are popular job titles related to Chatbot Manager jobs in Michigan? For Chatbot Manager jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Chatbot Manager jobs in Michigan look for? The top searched job categories for Chatbot Manager jobs in Michigan are:
Chatbot Manager jobs near you
Senior Technical Architect (AI/ML) : Auburn HIlls, MI : W2 only

Senior Technical Architect (AI/ML) : Auburn HIlls, MI : W2 only

Marvel Technologies Inc

Auburn Hills, MI • On-site

Contractor

Posted 12 days ago

Job description

Senior Technical AI/ML Architect- (w2 only & Hybrid)

Auburn HIlls, MI 

We are seeking an experienced Senior Technical AI Architect with expertise in Artificial Intelligence (AI) and Machine Learning (ML), specializing in Google's suite of AI products. The ideal candidate will have a proven track record in designing and implementing advanced chatbot solutions that serve as intelligent agents, capable of providing information from company-approved data sources tailored to specific customer needs.  

Key Responsibilities:

  • Lead the architecture and design of AI/ML solutions, with a primary focus on chatbot development using Google's AI products.
  • Develop sophisticated chatbots that can act as intelligent agents, integrating with company-approved data sources to provide accurate and relevant information to customers.
  • Design and implement natural language processing (NLP) and natural language understanding (NLU) systems to enhance chatbot interactions.
  • Architect scalable and secure solutions for deploying AI models and chatbots in production environments.
  • Collaborate with data scientists, software engineers, and product managers to align AI solutions with business objectives and customer needs.
  • Evaluate and integrate various data sources, ensuring chatbots can access and utilize company-approved information effectively.
  • Implement personalization and context-aware features in chatbots to enhance user experience.
  • Develop strategies for continuous improvement of chatbot performance through machine learning and user feedback.
  • Ensure compliance with data privacy regulations and company policies in all AI/ML implementations.
  • Provide technical leadership and mentoring to the AI/ML development team.
  • Prior experience of tread reporting is mandatory
  • Prior experience of NHTSA is mandatory.

Extensive experience with Google's AI products, including but not limited to:

  • Google Cloud AI Platform
  • Dialogflow
  • Cloud Natural Language API
  • Cloud Translation API
  • TensorFlow
  • Proven track record of designing and implementing successful chatbot solutions that serve as intelligent agents.
  • Strong understanding of NLP, NLU, and machine learning algorithms.
  • Experience integrating chatbots with various data sources and APIs.
  • Proficiency in programming languages commonly used in AI/ML development (e.g., Python, Java, Go).
  • Familiarity with cloud platforms, preferably Google Cloud Platform (GCP).
  • Knowledge of data privacy regulations and best practices for secure AI implementations. 

Education:

  • Master's degree or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 8+ years of experience in AI/ML architecture, with at least 5 years focusing on chatbot development.