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AI Product Manager

Job in Austin, Travis County, Texas, 73301, USA
Listing for: CareSource
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    AI Business & Operations, IT Business Analyst
  • Business
    AI Business & Operations
Salary/Wage Range or Industry Benchmark: 113000 - 198000 USD Yearly USD 113000.00 198000.00 YEAR
Job Description & How to Apply Below

Job Summary:

The AI Product Manager owns the AI strategy, roadmap, and portfolio for assigned business areas, identifying and prioritizing AI opportunities that align with business objectives and value realization goals. This role applies knowledge of enterprise IT systems and business processes to drive automation and scalable AI-enabled solutions. Serving as the primary connection between business stakeholders, the AI Transformation Office, IT, and the AI POD, the role translates complex business and technology needs into responsible, compliant solutions.

Essential Functions:

  • Owns the AI strategy, roadmap, and portfolio of AI initiatives for the assigned business area.
  • Identifies, prioritizes, and drives AI opportunities that align with business objectives and value realization goals.
  • Serves as the primary liaison between business stakeholders, the AI Transformation Office, IT, and AI POD to ensure successful solution delivery.
  • Translates business needs into AI-enabled solutions while ensuring compliance with enterprise governance, standards, and policies.
  • Builds and maintains less complex AI solutions or agents using Copilot, Copilot Studio, Power Automate, and other approved tools.
  • Support organizational adoption of new technology or business processes.
  • Establish and monitor success metrics and KPIs, using analytics and feedback to guide continuous improvement and investment decisions.
  • Analyze feedback, product data, and market trends to identify needs and support continuous improvement.
  • Perform any other job related duties as requested.

Education and Experience:

  • Bachelor’s degree in a related field required
  • Equivalent years of relevant work experience may be accepted in lieu of required education
  • Seven (7) years of progressive product management, business strategy, or technology management experience required
  • Three (3) years of experience leading enterprise technology, IT process automation, systems implementation or integration, analytics, automation, AI, or digital transformation initiatives required
  • Experience with artificial intelligence, machine learning, generative AI, predictive analytics, workflow automation, or data-driven products required
  • Healthcare, insurance, or managed care experience highly preferred
    Competencies, Knowledge and

    Skills:

  • Strong understanding of Product Management principles and practices
  • Advanced knowledge of artificial intelligence concepts, Machine Learning, Generative AI, and prompt design, agent-based solutions, automation, responsible AI practices, and solution lifecycle management
  • Deep understanding of responsible AI, AI governance, risk management, and compliance principles
  • Demonstrated expertise to translate complex technical concepts into business-focused recommendations
  • Excellent strategic thinking and problem-solving abilities
  • Strong analytical and data-driven decision-making skills
  • Ability to prioritize competing initiatives and manage ambiguity
  • Ability to effectively partner cross functionally, quickly learn and understand complex processes, and drive projects through completion
  • Excellent written, verbal, and presentation communication skills
  • Proficiency with Microsoft 365, analytics, and AI-enabled productivity tools
  • Ability to evaluate emerging technologies and identify business applications
    Licensure and Certification:
  • None

Working Conditions:

  • General office environment; may be required to sit or stand for extended periods of time
  • Travel is not typically required

Compensation Range:

$ - $

Care Source takes into consideration a combination of a candidate’s education, training, and experience as well as the position’s scope and complexity, the discretion and latitude required for the role, and other external and internal data when establishing a salary level. In addition…

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