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Product Manager Conversation Ai Chatbot Jobs (NOW HIRING)

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.

Forhyre

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

Plano, 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.

Sarian, Inc.

AI Chatbot Developer

Pennington, NJ · On-site

Skilled in prompt engineering and managing conversational context. * Coding Assistants: Practical ... Collaborate with cross-functional teams (UX/UI, Product, Content) to deliver effective AI ...

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 ...

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Product Manager Conversation Ai Chatbot information

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$51.5K

$159.4K

$197K

How much do product manager conversation ai chatbot jobs pay per year?

As of Sep 5, 2026, the average yearly pay for product manager conversation ai chatbot in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What does a product manager for conversation AI chatbots do?

A Product Manager for Conversation AI Chatbots oversees the development and strategy of AI-powered chatbot products. They work closely with engineering, design, and data science teams to define features, prioritize the product roadmap, and ensure the chatbot meets user needs. The role involves understanding market trends, analyzing user feedback, and ensuring the chatbot delivers high-quality, natural conversations. Product Managers also coordinate launches and measure product success based on business goals and user satisfaction.

What are the key skills and qualifications needed to thrive as a product manager for conversation AI chatbots?

To thrive as a Product Manager for Conversation AI Chatbots, you need a solid background in product lifecycle management, user experience design, and an understanding of natural language processing concepts, typically supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as Jira, analytics platforms, chatbot frameworks (like Dialogflow or Rasa), and agile methodologies is important, as well as experience with API integration. Strong communication, stakeholder management, and problem-solving skills help you translate user needs and business goals into effective conversational products. These skills are crucial to successfully drive product vision, ensure smooth cross-functional collaboration, and deliver AI chatbot solutions that meet user expectations.

What are some common challenges product managers face when overseeing AI chatbot development projects?

Product Managers working on AI chatbot projects often encounter challenges such as aligning chatbot capabilities with user expectations, managing the evolving nature of natural language processing technologies, and ensuring seamless integration with existing systems. Balancing the need for rapid iteration with maintaining high-quality user experiences can also be demanding. Additionally, collaboration across cross-functional teams—including engineering, data science, and UX/UI design—is essential to address technical complexities and deliver a product that meets both business goals and user needs.

What is the difference between Product Manager Conversation Ai Chatbot vs Product Manager Customer Experience?

AspectProduct Manager Conversation Ai ChatbotProduct Manager Customer Experience
CredentialsTypically requires a background in AI, NLP, or software development, along with product management certificationsRequires experience in customer service, UX design, and product management certifications
Work EnvironmentTech companies, AI startups, software development teamsRetail, e-commerce, service industries, and companies focusing on customer satisfaction
Employer & Industry UsagePrimarily in AI-driven tech firms and SaaS platformsAcross industries prioritizing customer engagement and retention

While both roles involve product management skills, the Product Manager Conversation Ai Chatbot focuses on developing AI-driven chat solutions, whereas the Product Manager Customer Experience emphasizes enhancing overall customer satisfaction and engagement strategies.

More about Product Manager Conversation Ai Chatbot jobs

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Cities with the most Product Manager Conversation Ai Chatbot job openings:

What states have the most Product Manager Conversation Ai Chatbot jobs?

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What job categories do people searching Product Manager Conversation Ai Chatbot jobs look for?

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Product Manager Conversation Ai Chatbot jobs near you
Infographic showing various Product Manager Conversation Ai Chatbot job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Conversational AI/ Chatbot Developer

Diverse Agile Solutions, LLC (DAS)

Adelphi, MD • Remote

$52.25 - $72.25/hr

Full-time

Posted 5 days ago

Job description

Conversational AI / Chatbot Developer

Diverse Agile Solutions, LLC (DAS) is seeking an experienced Conversational AI / Chatbot Developer to support an enterprise client and help design, develop, integrate, and optimize next-generation conversational AI experiences.

This is an exciting opportunity for a developer who enjoys working at the intersection of traditional conversational AI, Generative AI, and autonomous AI agents. The ideal candidate will have strong Microsoft Azure conversational technology experience and be comfortable integrating AI solutions with enterprise platforms such as Salesforce and PeopleSoft.

What You'll Do
  • Design, develop, test, deploy, and maintain enterprise chatbots, virtual assistants, and AI agents.
  • Develop and maintain conversational applications using Azure Bot Framework SDK v4.
  • Build conversational workflows using Waterfall Dialogs, custom middleware, and state management.
  • Help modernize existing chatbot capabilities using Azure AI Foundry, Microsoft Copilot Studio, and Microsoft Agents 365 / Microsoft 365 Agents SDK technologies.
  • Integrate conversational applications with enterprise systems using MuleSoft, REST APIs, Salesforce, and PeopleSoft.
  • Develop Salesforce Live Chat and Case Management integrations for human-agent escalation and automated case routing.
  • Build rich conversational experiences using Adaptive Cards across web, mobile, and messaging channels.
  • Integrate Azure Conversational Language Understanding (CLU) with Azure OpenAI/GPT to support intent recognition, routing, fallback handling, and contextual responses.
  • Develop and optimize RAG and LLM-based solutions.
  • Monitor conversation logs, intent accuracy, containment rates, and other performance metrics to continuously improve the user experience.
  • Use tools such as Azure Application Insights and Power BI to analyze conversational performance.
  • Work with Product Managers, UX Designers, developers, and business stakeholders to translate business requirements into effective conversational experiences.
  • Participate in Agile development, testing, code reviews, and CI/CD activities.
Required Qualifications
  • 3+ years of software development experience with a focus on Conversational AI, NLP/NLU, chatbots, or LLM/AI agent development.
  • Hands-on experience with Azure Bot Framework SDK v4.
  • Experience with Waterfall Dialogs, custom middleware, and conversation state management.
  • Strong programming experience with C# and .NET.
  • Experience with JavaScript, HTML, and CSS.
  • Experience with Azure OpenAI and/or Generative AI technologies.
  • Experience with Azure CLU or other NLU technologies.
  • Experience integrating enterprise applications through REST APIs and/or MuleSoft.
  • Experience with Salesforce and/or PeopleSoft integrations.
  • Strong understanding of conversational design, APIs, enterprise integration, and cloud-based application development.
  • Excellent communication skills and ability to work effectively with technical and non-technical stakeholders.
Preferred Qualifications
  • Experience with Azure AI Foundry.
  • Experience with Microsoft Copilot Studio.
  • Experience with Microsoft Agents 365 / Microsoft 365 Agents SDK.
  • Experience developing Adaptive Cards.
  • Salesforce Live Chat and Case Management integration experience.
  • Experience with Azure Cosmos DB for conversation state and user context.
  • Experience with Azure Application Insights and Power BI.
  • Experience developing RAG/LLM orchestration solutions.
  • Experience building or maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
  • Experience working in higher education or other complex enterprise environments.
  • Experience with agentic AI and autonomous AI architectures.
Why Join DAS?

At Diverse Agile Solutions, you'll work on challenging technology initiatives involving Artificial Intelligence, Cloud, DevSecOps, Cybersecurity, Agile Transformation, and Enterprise IT modernization.

We are a growing technology services company that values technical excellence, collaboration, accountability, and professional growth.

Position Details

Position: Conversational AI / Chatbot Developer
Company: Diverse Agile Solutions, LLC
Employment Type: Contract
Work Arrangement: [Remote potential depending on candidate]
Location: Adelphi, MD
Duration: Initially 6 month with possible extension
Compensation: $85,000 - $90,000

How to Apply

If you're an experienced Conversational AI developer who is excited about combining Azure, Generative AI, enterprise integrations, and next-generation AI agents, we'd like to hear from you.


Apply