Senior AI Product Owner

Senior AI Product Owner

Experience:

Salary :

Preferred Notice Period

Shift

Opportunity Type:

Placement Type:

(*Note: This is a requirement for one of Uplers' Clients)

Must have skills required :

Product Owner/Manager for AI/ML products

AiQL (One of Uplers' Clients) is Looking for:

Senior AI Product Owner who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results.

Role Overview Description

Senior AI Product Owner

Position: Senior AI Product Owner / Head of Product

Stage: Seed-stage startup building enterprise AI for value-based care

Role Overview:

We're seeking an experienced AI Product Owner to bridge the gap between our advanced AI/ML technology and real-world healthcare applications.

Core Responsibilities:

Product Strategy & Execution (40%)

• Translate healthcare industry requirements (clinical guidelines, insurance contracts, quality measures) into detailed technical specifications
• Own the product roadmap, balancing technical innovation with customer needs

Technical Team Orchestration (30%)

• Coordinate between Graph Engineers, ML Scientists, Clinical Knowledge Engineers, and Platform Developers
• Facilitate technical architecture decisions balancing AI capabilities with production constraints

AI/ML Product Management (20%)

• Define requirements for machine learning models, training pipelines, and inference systems
• Establish metrics for model performance, explainability, and reliability

Stakeholder Management (10%)

• Interface with healthcare customers to understand complex workflows
• Present technical concepts to non-technical stakeholders

Required Experience:

Essential Qualifications:

• 5+ years as Product Owner/Manager for AI/ML products in production
• Proven track record of shipping enterprise AI products from concept to scale
• Experience translating complex business logic into technical requirements

Technical Competencies:

• Deep understanding of machine learning concepts (not necessarily coding, but architecture and capabilities)
• Familiarity with knowledge graphs, ontologies, or rule-based systems

Startup Experience Requirements:

• Proven ability to work with ambiguity and rapidly changing requirements
• Experience wearing multiple hats and filling gaps as needed

Key Success Metrics:

• Deliver MVP to enterprise pilot within 6 months
• Achieve 90% on-time delivery of sprint commitments

Ideal Candidate Profile:

The ideal candidate has previously taken an AI product from research prototype to production in a regulated industry. You've worked at an AI startup that achieved product-market fit and understand the unique challenges of productizing ML models.

Nice to Have:

• Healthcare industry experience, particularly with providers or payers
• Experience with symbolic AI, expert systems, or rules engines
• Knowledge of value-based care, quality measures, or clinical guidelines

How to apply for this opportunity:

Easy 3-Step Process:

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!

About Our Client:

This company is pioneering the next generation of enterprise artificial general intelligence through revolutionary knowledge sculpting technology. We're building the critical infrastructure that enables organizations to transform their collective intelligence into precise, explainable, and trustworthy AI systems.

About Uplers:

Role & responsibilities

Preferred candidate profile