Senior Product Owner (Remote or Hybrid)

Experience: 5.00 + years

Salary : USD 4266 / month (based on experience)

Shift : (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type : Remote

Placement Type : Full Time Contract for 12 Months(40 hrs a week/160 hrs a month)

(*Note: This is a requirement for one of Uplers' client - AI industry)

Knowledge graphs, Ontologies, or rule-based systems, Product Owner/Manager for AI/ML products

AI industry is Looking for:

Senior AI Product Owner

Position: Senior AI Product Owner / Head of Product

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

We're seeking an experienced AI Product Owner to bridge the gap between our advanced AI/ML technology and real-world healthcare applications. You'll translate complex healthcare requirements into technical specifications, orchestrate our AI/ML engineering team, and drive product development from prototype to production-ready enterprise platform.

Translate healthcare industry requirements (clinical guidelines, insurance contracts, quality measures) into detailed technical specifications

Define and prioritize features for our hybrid intelligence platform

Manage sprint planning and agile development processes

Coordinate between Graph Engineers, ML Scientists, Clinical Knowledge Engineers, and Platform Developers

Facilitate technical architecture decisions balancing AI capabilities with production constraints

Ensure seamless integration between rule-based systems and machine learning components

Drive technical debt discussions and platform scalability planning

AI/ML Product Management (20%)

Define requirements for machine learning models, training pipelines, and inference systems

Establish metrics for model performance, explainability, and reliability

Manage the feedback loop between production performance and model improvements

Present technical concepts to non-technical stakeholders

Required Experience:

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
• Hands-on experience with both traditional ML and modern deep learning approaches
• Experience managing technical teams of 5-15 engineers
• Strong understanding of AI/ML development lifecycle, including data pipelines, model training, deployment, and monitoring

Deep understanding of machine learning concepts (not necessarily coding, but architecture and capabilities)

Experience with enterprise software requirements (security, compliance, scalability)

Understanding of healthcare data standards (FHIR, HL7) is a plus

Familiarity with explainable AI and regulatory requirements

Startup Experience Requirements:

Experience wearing multiple hats and filling gaps as needed

Track record of building products with limited resources

Experience scaling products from 0 to 1 and 1 to 100

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. You're equally comfortable discussing neural network architectures with engineers and value-based care contracts with healthcare executives. 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

Previous experience with graph databases or knowledge graphs

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

Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today.