Technical Product Owner with AI/ML - Hybrid
Role details
Job location
Tech stack
Job description
We are seeking a highly skilled Technical Product Owner with AI/ML expertise to drive the development and delivery of data-driven and intelligent solutions. This role requires a blend of product management, technical understanding of machine learning systems, and strong collaboration with engineering, data science, and business teams., + Own and manage the product backlog for AI/ML initiatives, ensuring alignment with business goals.
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Collaborate with data scientists, ML engineers, and software teams to define product requirements and technical solutions.
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Translate business needs into AI/ML use cases, user stories, and acceptance criteria.
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Work closely with stakeholders to define KPIs, success metrics, and model performance benchmarks.
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Ensure proper handling of data quality, governance, and compliance (especially in regulated domains like healthcare/finance).
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Participate in sprint planning, backlog grooming, and agile ceremonies.
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Facilitate communication between technical and non-technical stakeholders.
Requirements
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Experience: 7-10+ years
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5-10 years of experience in product ownership/product management or related roles.
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Strong understanding of AI/ML concepts.
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Solid knowledge of APIs, microservices, and cloud platforms (AWS, Azure, or GCP).
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Familiarity with MLOps practices (model deployment, CI/CD, monitoring).
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Strong experience in Agile/Scrum methodologies.
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Excellent communication and stakeholder management skills.
Preferred Qualifications
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Experience in Healthcare domain.
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Knowledge of GenAI / LLMs (e.g., Chatbots, NLP, OpenAI models).
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Certification such as Certified Scrum Product Owner (CSPO) or equivalent.
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Hands-on exposure to tools like JIRA, Confluence, MLflow, etc.
Key Competencies
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Strong analytical and problem-solving skills
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Ability to bridge business and technical teams
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Data-driven decision making
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Prioritization and roadmap planning
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Risk assessment and mitigation