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Conversational Ai Analyst Jobs (NOW HIRING)

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Conversational AI Designer

Use analytics and qualitative feedback (transcripts, drop-offs, containment, CSAT, recontact) to ... Conversational AI platform leadership * Define voice-optimized behaviors (barge-in, disambiguation ...

Pennymac

Product Owner (Conversational AI)

Carrollton, TX · On-site

$90K - $150K/yr

Prompt Effectiveness Tracking & Analytics: Establish robust tracking frameworks to measure prompt ... Demonstrated experience with AI/ML products, specifically conversational AI, Large Language Models ...

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Conversational Ai Analyst information

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How much do conversational ai analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for conversational ai analyst in the United States is $35.97, according to ZipRecruiter salary data. Most workers in this role earn between $25.24 and $42.07 per hour, depending on experience, location, and employer.

What are some common challenges faced by conversational AI analysts when improving chatbot performance?

Conversational AI Analysts often encounter challenges such as accurately interpreting user intent, handling ambiguous queries, and managing the evolving language used by customers. They must continuously analyze conversation logs, identify areas where the AI fails to provide satisfactory responses, and collaborate with data scientists, developers, and UX designers to refine natural language models. Staying up-to-date with advancements in NLP technologies and ensuring that the chatbot aligns with business goals are also important aspects of the role.

What is the difference between Conversational Ai Analyst vs Data Analyst?

AspectConversational Ai AnalystData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; knowledge of NLP and AI toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentTech companies, AI startups, customer service platformsBusiness, finance, healthcare, and other industries
Employer & Industry UsageAI-focused companies, tech firms, customer experience teamsVarious sectors analyzing data for insights and decision-making

The Conversational Ai Analyst specializes in developing and optimizing AI chatbots and voice assistants, focusing on natural language processing. In contrast, the Data Analyst interprets data sets to inform business decisions across industries. While both roles require analytical skills and familiarity with data tools, the Conversational Ai Analyst emphasizes AI and NLP technologies, whereas the Data Analyst centers on data visualization and statistical analysis.

What does a conversational AI analyst do?

A Conversational AI Analyst is responsible for designing, analyzing, and optimizing AI-driven conversational interfaces such as chatbots and virtual assistants. They use data to evaluate user interactions, identify patterns, and suggest improvements to enhance user experience and accuracy. Their work often involves collaborating with developers, data scientists, and UX designers, as well as conducting A/B testing and monitoring performance metrics. The ultimate goal is to ensure the conversational AI systems are effective, efficient, and aligned with business objectives.

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

To thrive as a Conversational AI Analyst, you need a solid background in data analysis, natural language processing (NLP), and linguistics, often supported by a degree in computer science, linguistics, or a related field. Familiarity with analytics platforms, chatbot development tools (such as Dialogflow or Rasa), and scripting languages like Python is typically required. Strong problem-solving ability, attention to detail, and effective communication skills help you interpret data insights and collaborate with cross-functional teams. These competencies are crucial for designing, optimizing, and evaluating AI-driven conversational systems to ensure accurate and user-friendly interactions.
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Conversational Ai Analyst jobs near you
Infographic showing various Conversational Ai Analyst job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $74,823 per year, or $36 per hour.

Product Manager - Conversational AI

Forhyre

Charleston, WV

Full-time

Re-posted 24 days ago

Job description

Are you passionate about the future of AI and its potential to transform business operations?

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.

As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology. You will be responsible for overseeing the entire product lifecycle, from ideation to launch and beyond. Your expertise in Conversational AI will shape the future of our chatbot solutions, enabling us to provide personalized and interactive experiences for users.

Responsibilities:

  • Lead the product strategy and vision for our Conversational AI solutions, ensuring alignment with the company's overall goals and objectives.
  • Conduct market research and analysis to identify customer needs, trends, and opportunities in the Conversational AI space.
  • Collaborate with cross-functional teams including engineering, design, and business development to define product requirements and specifications.
  • Drive the product roadmap, making data-driven decisions and prioritizing features and enhancements based on customer feedback and market demand.
  • Work closely with the engineering team to define technical requirements and ensure successful implementation of new features and functionalities.
  • Monitor product performance, conduct user testing, and gather feedback to continuously improve the user experience and optimize product performance.
  • Stay up-to-date with industry trends and advancements in Conversational AI technology, bringing fresh ideas and innovative approaches to drive product innovation.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is a plus.
  • Proven experience as a Product Manager in the AI or Conversational AI industry.
  • Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML).
  • Familiarity with chatbot platforms, frameworks, and tools.
  • Excellent analytical skills with the ability to translate complex technical concepts into clear product requirements.
  • Strong leadership and communication skills to effectively collaborate with cross-functional teams.
  • Experience in Agile software development methodologies.
  • A passion for innovation and a deep understanding of customer needs.

Join ChatBotz.ai today and be part of a dynamic team that is revolutionizing businesses through the power of Conversational AI. Apply now to shape the future of intelligent chatbot solutions!