Product Owner - Military veterans preferred

Mitchell International


Product Owner

US--Remote

Job ID: 25-17937
Type: Regular Full-Time
# of Openings: 1
Category: Product & Program Management
Mitchell International, Inc.

Overview

At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you're supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you'll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.

Be part of a team that makes a real difference.

AI Product Owner - Generative AI Medical Solutions

We are seeking an experienced Product Owner to spearhead the development and delivery of cutting-edge AI-driven applications that leverage prompt engineering, large language models (LLMs), and generative AI technologies to analyze, summarize, and extract actionable insights from medical claims, medical billing data, and healthcare documentation.

Key Responsibilities:

• Serve as the voice of the customer to the development team, translating business needs into technical requirements
• Collaborate with product management to define and prioritize the team's roadmap in alignment with program vision
• Manage the product backlog, ensuring user stories are clear, actionable, and prioritized for maximum value delivery
• Work cross-functionally with AI/ML engineers, data scientists, and subject matter experts to deliver innovative solutions
• Define acceptance criteria and validate that delivered features meet customer needs and quality standards
• Manage in product prompt engineering as needed to support new customers and use cases

What You'll Need:

• Proven experience in product ownership or management of AI/ML products, preferably in healthcare or related fields
• Strong understanding of generative AI technologies, LLMs, and prompt engineering techniques
• Experience with Agile development methodologies and tools
• Excellent communication skills to bridge technical and business stakeholders
• Ability to quickly develop domain expertise in medical claims processing and healthcare documentation

What Sets You Apart:

• Experience with healthcare data, HIPAA compliance, or medical claims processing
• Background in implementing AI solutions that handle sensitive or regulated information
• Track record of successful AI product launches from concept to market

This role offers the opportunity to shape next-generation AI applications that will transform how medical claims and healthcare documentation are processed, ultimately improving efficiency and outcomes in the healthcare ecosystem.

• 3+ years as a Product Owner or Product Manager, ideally for B2B SaaS or healthcare/insurance technology products
• Experience developing or delivering AI/ML-driven products — specifically with generative AI, LLMs, or NLP-based systems
• Familiarity with healthcare claims data formats (837, UB-04, HCFA 1500), medical records, and EHR data
• Understanding of medical claims workflows — payer side or third-party admin (TPA) side
• Hands-on experience collaborating with AI/ML teams, including prompt engineering and model evaluation
• Ability to bridge the gap between technical teams (AI/ML, engineering) and business users (claims reviewers, adjusters, medical directors)

Bonus Skills:

• Familiarity with platforms such as Azure OpenAI, AWS Bedrock, HuggingFace, or similar LLM environments
• Experience with retrieval augmented generation (RAG) systems or knowledge graph integration
• Background in healthcare compliance, medical coding, or medical review
• Past experience working in property & casualty insurance, workers comp, or disability claims technology

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