AI Product Owner - Head - GO/JC/4801/2026

Job Details
Job Title: AI Product Owner
Job Location: Bangalore
Work Model: Work from Office
Candidate Expectations
Total and Relevant Experience – Should have overall 10-15 years of experience in product ownership, product management, or business analysis, with at least 1–2 years on AI/ML or data-driven products
Candidate Location - Anywhere
Skills
Working knowledge of AI/ML concepts: supervised and unsupervised learning, NLP, LLMs, prompt engineering, RAG, and model evaluation
Hands-on experience launching generative AI or LLM-powered products
Candidate Industry (Lateral)
Diversity – No
Education and Certification
Bachelor’s degree in computer science, Engineering, Business, or a related field
Qualification: Specific Remarks: Distance education not accepted.
Certification: NA
Detailed Job Description
Key Responsibilities
Product ownership
Own and prioritize the product backlog for AI initiatives, balancing business value, feasibility, risk, and effort
Translate business problems into clear user stories, acceptance criteria, and success metrics
Define the product vision and roadmap for AI features in partnership with the Product Manager and leadership
Run sprint planning, backlog refinement, and reviews with the delivery team
AI-specific delivery
Identify and validate high-impact AI use cases, including build vs. buy vs. fine-tune decisions
Define evaluation criteria for model performance (accuracy, relevance, latency, cost, hallucination rate, bias)
Work with data teams to ensure data availability, quality, labeling, and governance
Plan for the full AI lifecycle: experimentation, deployment, monitoring, retraining, and iteration
Design human-in-the-loop workflows and fallback behaviours where model confidence is low
Stakeholder collaboration
Act as the bridge between technical teams and non-technical stakeholders, explaining AI capabilities and limitations in plain language
Manage expectations around what AI can realistically deliver
Gather feedback from users and stakeholders and turn it into product improvements
Responsible AI and governance
Partner with Legal, Security, and Compliance on privacy, IP, and regulatory requirements (e.g., GDPR, EU AI Act, India’s DPDP Act)
Embed responsible AI practices: fairness, transparency, explainability, and safety testing
Maintain documentation such as model cards, risk assessments, and usage policies
Performance and value tracking
Define and track KPIs such as adoption, user satisfaction, task success rate, cost per query, and ROI
Run A/B tests and pilots to validate impact before scaling
Mandatory Skills
10-15 years of experience in product ownership, product management, or business analysis, with at least 1–2 years on AI/ML or data-driven products
Working knowledge of AI/ML concepts: supervised and unsupervised learning, NLP, LLMs, prompt engineering, RAG, and model evaluation
Strong experience with Agile/Scrum methodologies and tools such as Jira, Azure DevOps, or Confluence
Proven ability to write clear requirements and prioritize in ambiguous, fast-changing environments
Excellent communication and stakeholder management skills
Analytical mindset with comfort in metrics, dashboards, and experimentation
Good To Have Skills
Hands-on experience launching generative AI or LLM-powered products
Familiarity with cloud AI platforms (Azure AI, AWS Bedrock/ Sage Maker, Google Vertex AI) and APIs from model providers
Basic SQL or Python skills for data exploration
Experience with ML Ops concepts such as CI/CD for models, monitoring, and drift detection
Certifications such as CSPO/PSPO, or AI/ML product certifications
Master’s degree or MBA

Work arrangement
No