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Product Manager Conversation Ai Chatbot Jobs (NOW HIRING)

OVA.Work

Conversational AI Developer

... chatbot performance using conversation analytics, user feedback, and AI evaluation metrics. • ... • Troubleshoot production issues and continuously optimize model performance and user ...

ClarkDietrich

Conversational AI Specialist

West Chester, OH · On-site

$16 - $21.25/hr

Translate complex B2B service and operational processes into AI-ready knowledge and conversation ... management, or chatbot/self-service experiences. Experience supporting customer-facing ...

Harvey

AI Support Lead

San Francisco, CA · On-site

$200K - $280K/yr

We have strong product-market fit and world-class investor support. We're scaling fast and defining ... Role Overview Own Harvey's conversational AI and chatbot mandate end to end: the vendor ...

Harvey

AI Support Lead

New York, NY · On-site

$200K - $280K/yr

We have strong product-market fit and world-class investor support. We're scaling fast and defining ... Role Overview Own Harvey's conversational AI and chatbot mandate end to end: the vendor ...

Vanta

AI Optimization Specialist, Support

$129K - $152K/yr

Design and Optimize Conversational Flows * Design personalized and effective conversational flows ... with Product, Engineering and Design to stay ahead of upcoming launches and ensure the AI chatbot ...

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Product Manager Conversation Ai Chatbot information

See salary details

$51.5K

$159.4K

$197K

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

As of Aug 18, 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.

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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 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 $159,405 per year, or $76.6 per hour.

Agentic AI chatbot solution on Microsoft Azure

TekCommands Inc

Atlanta, GA • On-site

$61 - $79.50/hr

Contractor

Re-posted 29 days ago

Job description

This is Mid to senior role combining business analysis and solution architecture
• Focused on building an agentic AI chatbot solution on Microsoft Azure
• Primary purpose is to enable conversational access to R&D and formulation data stored in existing relational databases
• Deep engagement with food & beverage consumer packaged goods (CPG) R&D, formulation, and product development teams
• Role emphasizes requirements discovery, scope expansion, and identifying new AI-enabled opportunities beyond initial use cases
• Acts as a bridge between scientific users, business stakeholders, and technical delivery teams
"

Key Responsibilities:
"•Proactively lead client communications, interviews, and workshops.
•Engage R&D, formulation, and innovation stakeholders to understand:
oFormulation development and optimization workflows
oPain points in accessing and interpreting data
•Elicit, analyze, and document:
oFunctional and non-functional requirements
oUser stories, use cases, and acceptance criteria.
•Create, manage, and groom backlog.
•Translate business and scientific needs into:
oClear solution designs and architectural inputs
oBacklog items and delivery-ready requirements
•Lead architecture and design of:
oUIs, UX workflows, paper prototyping, etc.
oAzure-based agentic AI systems
oConversational/chatbot interfaces
oData retrieval from relational data sources
•Collaborate with engineering teams on:
oAI agent orchestration and tool usage
oData integration and access patterns
oSecurity, scalability, and performance considerations
•Proactively identify:
oNew AI use cases within R&D and formulation
oOpportunities to broaden solution scope and value.
•Support roadmap definition from initial data retrieval chatbot to more advanced reasoning, insight generation, and decision support
"

What are the Mandatory skills and skill proficiencies required for this position?
"•Business Analysis & Requirements Engineering – 5
•CPG Domain Knowledge (Food & Beverage R&D) – 4
•CPG R&D Workflow Understanding – 3
•Agentic AI Azure Solution Architecture (Azure OpenAI / Foundry / AI Search) – 4
•Communication & Stakeholder Management – 5
•Relational Databases & Data Modeling Concepts – 2/3
"

What are the Optional skills and skill proficiencies for this position? 
"•Agentic AI / Multi-Agent Systems Architectures – 3
•Conversational AI / NLP Systems – 3
•AI Governance / Responsible AI Concepts – 2
•Consulting or Discovery-Phase Project Experience – 4
•Regulated or Scientific IT Environments – 3