AI Product Owner - Head - GO/JC/4801/2026
Golden Opportunities
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Job summary
Golden Opportunities in Bengaluru is seeking an AI Product Owner to lead AI‑driven product initiatives from concept to delivery. This senior role requires 10–15 years in product ownership, product management, or business analysis, with 1–2 years on AI/ML or data‑driven products.
You will own and prioritize the product backlog for AI initiatives, translate business problems into user stories and success metrics, define the AI feature roadmap with the Product Manager and leadership, and drive
Qualifications
- 10-15 years in product ownership/PM/BA with AI/ML focus
- Translate problems into user stories and success metrics
- Strong communication and stakeholder management
Responsibilities
- Own and prioritize AI initiative backlog
- Define AI feature roadmap with leadership and PM
- Run sprint planning, backlog refinement, and reviews
- Collaborate with data teams on governance and data quality
Skills
Education
Tools
Job description
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
Job Location: Bangalore
Work Model: Work from Office
Candidate Location - Anywhere
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
- 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
Bachelor’s degree in computer science, Engineering, Business, or a related field
Specific Remarks: Distance education not accepted.
Certification: NA
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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