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 Key Responsibilities Product ownership Own and prioritize the product backlog for AI initiatives, balancing business value, feasibility, risk, and effort

Translate business problems into transparent 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

📌 AI Product Owner - Head - GO/JC/4801/2026 (Bengaluru)
🏢 Golden Opportunities
📍 Bengaluru