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Conversational Ai Product Owner Jobs (NOW HIRING)

... systems, conversational AI, and GenAI applications . * Work closely with technical teams to ... Proven experience working as a Product Owner / Product Manager for technology or data-driven ...

How We Work As an AI Product Owner you will be expected to work in a hybrid environment reporting ... When a conversational feature dead-ends, a task fails, or ignores a user asking for help, find and ...

What We Need Corpay is currently looking to hire an AI Product Owner - Virtual Fleet Manager within ... When a conversational feature dead-ends, a task fails, or ignores a user asking for help, find and ...

About the AI Product Owner Role Thank you for your interest in the AI Product Owner position at Synaptic! This is an exciting opportunity to lead product strategy and execution at the forefront of AI ...

What We Need Corpay is currently looking to hire an AI Product Owner - Virtual Fleet Manager within ... When a conversational feature dead-ends, a task fails, or ignores a user asking for help, find and ...

As an AI Product Owner within Finxact Experience, you will help shape the next generation of ... You will contribute to experiences spanning AI assistants, conversational workflows, developer ...

As an AI Product Owner within Finxact Experience, you will help shape the next generation of ... You will contribute to experiences spanning AI assistants, conversational workflows, developer ...

As an AI Product Owner within Finxact Experience, you will help shape the next generation of ... You will contribute to experiences spanning AI assistants, conversational workflows, developer ...

AI Product Owner Job Type: Fulltime Job Location: San Francisco, CA Work Schedule: Onsite Description: The AI Product Owner helps turn AI opportunities into practical capabilities that improve ...

Job title- AI Product Owner with P&C insurance experience Location : Warren NJ (3 days on-site) Role Overview Everest is seeking an experienced AI Product Owner to lead the development and delivery ...

AI PRODUCT OWNER Duration: 6-month contract with potential to extend Location Requirement: Charlotte CIC (Only option) 3 days a week in office required Interview:30 min Teams Interviews with Tim Reed ...

Serves as the product owner for conversational AI and emerging AI solutions, partnering with business stakeholders, technology teams, and strategic vendors to define vision, identify and manage AI ...

$140K - $160K/yr

AI Product Owner Department: Engineering Employment Type: Full Time Location: Remote (USA) Compensation: $140,000 - $160,000 / year Description BSC Analytics delivers an agentic AI platform for ...

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Conversational Ai Product Owner information

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$41.5K

$112.9K

$164.5K

How much do conversational ai product owner jobs pay per year?

As of Sep 12, 2026, the average yearly pay for conversational ai product owner in the United States is $112,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What does a Conversational AI Product Owner do?

A Conversational AI Product Owner is responsible for guiding the development and strategy of products that use conversational technologies, such as chatbots and virtual assistants. They work closely with cross-functional teams including engineers, designers, and business stakeholders to define product features, prioritize requirements, and ensure the product meets user needs. Their role involves understanding market trends, user feedback, and technological advancements to continuously improve conversational AI solutions. Overall, they bridge the gap between business goals and technical execution to deliver engaging and effective AI-driven experiences.

What skills and qualifications are needed to thrive as a Conversational AI Product Owner?

To thrive as a Conversational AI Product Owner, you need a solid background in product management, understanding of AI technologies, and experience with user experience (UX) design principles, often supported by a relevant degree or certification. Familiarity with tools like Jira, Agile frameworks, conversational AI platforms (e.g., Dialogflow, Microsoft Bot Framework), and analytics systems is typically required. Exceptional communication, stakeholder management, and problem-solving skills help you balance technical constraints with user needs and business goals. These skills ensure the successful delivery of conversational AI products that are effective, user-centric, and aligned with organizational objectives.

How does a Conversational AI Product Owner collaborate with engineering and data science teams during product development?

As a Conversational AI Product Owner, you’ll play a central role in bridging the gap between business goals and technical execution. You’ll regularly engage with engineering and data science teams to define requirements, prioritize features, and clarify user stories. This involves participating in sprint planning, reviewing prototypes, and ensuring models are trained and evaluated in line with user needs. Open communication and a strong understanding of both technical constraints and user experience are key to ensuring successful, iterative product releases.

What is the difference between Conversational Ai Product Owner vs Chatbot Developer?

AspectConversational Ai Product OwnerChatbot Developer
CredentialsTypically requires product management, AI, or related certificationsRequires programming, AI, or chatbot development skills
Work EnvironmentCollaborates with cross-functional teams, manages product lifecycleFocuses on coding, designing, and deploying chatbots
Industry UsageUsed in organizations developing AI-driven conversational productsEmployed in companies building specific chatbot solutions
Search & Comparison IntentInterested in product management roles in conversational AILooking for technical chatbot development roles

The Conversational AI Product Owner oversees the development and strategy of conversational AI products, focusing on user experience and product lifecycle. In contrast, a Chatbot Developer primarily handles the technical creation and coding of chatbots. While both roles work within the AI and chatbot industry, the Product Owner manages the product vision and stakeholder requirements, whereas the Developer executes the technical implementation.

What are popular job titles related to Conversational Ai Product Owner jobs?

For Conversational Ai Product Owner jobs, the most frequently searched job titles are:

Infographic showing various Conversational Ai Product Owner job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $112,891 per year, or $54.3 per hour.

AI Product Owner

Chantilly, VA • Remote

Contractor

Re-posted 6 days ago


Job description

AI Product Owner – Healthcare

Location: Remote
Employment Type: W2
Industry: Healthcare

Job Description

We are seeking an experienced AI Product Owner to lead the strategy, development, and delivery of AI-driven products and solutions within a large healthcare environment.

The ideal candidate will have strong experience in Product Ownership, Artificial Intelligence, Generative AI, and healthcare technology. This role will work closely with business stakeholders, clinical teams, data scientists, AI/ML engineers, architects, and engineering teams to translate healthcare business needs into scalable AI product solutions.

Key Responsibilities

  • Define and own the AI product vision, roadmap, and strategy aligned with healthcare business objectives.
  • Partner with business, clinical, technology, and data teams to identify high-value AI and Generative AI use cases.
  • Translate business requirements into clear product requirements, user stories, features, and acceptance criteria.
  • Own and prioritize the product backlog based on business value, technical feasibility, risk, and customer impact.
  • Lead AI product initiatives involving Generative AI, Large Language Models (LLMs), Machine Learning, NLP, and intelligent automation.
  • Collaborate with AI/ML engineers, data scientists, and architects throughout the AI product development lifecycle.
  • Support the development of AI agents, conversational AI, copilots, and workflow automation solutions.
  • Identify opportunities to improve member experience, patient engagement, clinical workflows, healthcare operations, and employee productivity using AI.
  • Define product KPIs and measure AI solution performance, adoption, accuracy, business value, and user experience.
  • Facilitate product discovery sessions, stakeholder workshops, backlog refinement, sprint planning, and product demonstrations.
  • Ensure AI solutions follow healthcare data privacy, security, and compliance requirements, including HIPAA and enterprise AI governance standards.
  • Partner with Responsible AI, Legal, Compliance, Security, and Data Governance teams to manage AI-related risks.
  • Support AI model evaluation, human-in-the-loop processes, feedback mechanisms, and continuous product improvement.
  • Drive Proof of Concept (POC), Minimum Viable Product (MVP), pilot, and enterprise-scale AI product implementations.
  • Manage cross-functional dependencies and communicate product status, risks, priorities, and roadmaps to leadership.
  • Stay current with emerging AI technologies and identify opportunities to integrate new AI capabilities into healthcare products and platforms.

Required Qualifications

  • 10+ years of experience in Product Management, Product Ownership, Business Analysis, or Digital Product Development.
  • 3+ years of experience supporting AI, Machine Learning, Data, Automation, or Generative AI products.
  • Strong understanding of Generative AI, LLMs, NLP, Machine Learning, and AI product development concepts.
  • Experience defining product roadmaps, managing product backlogs, and writing detailed user stories and acceptance criteria.
  • Strong experience working in Agile/Scrum environments.
  • Experience collaborating with Data Science, AI/ML Engineering, Data Engineering, and Cloud teams.
  • Strong stakeholder management and communication skills.
  • Ability to translate complex AI and technical concepts into clear business outcomes.
  • Experience with tools such as Jira, Confluence, Azure DevOps, or similar product management platforms.

Preferred Qualifications

  • Experience within the healthcare, health insurance, provider, or managed care industry.
  • Understanding of healthcare business processes, clinical workflows, member services, or healthcare operations.
  • Knowledge of HIPAA, healthcare data privacy, AI governance, and Responsible AI principles.
  • Experience with LLMs, RAG, AI Agents, Prompt Engineering, Vector Databases, or Conversational AI.
  • Exposure to cloud AI platforms such as Azure AI, AWS AI/ML, or Google Cloud AI.
  • Experience launching enterprise AI products from POC through production implementation.
  • Product Owner or Agile certifications such as CSPO, SAFe POPM, or PSPO are preferred.