AI Product Manager

Responsibilities

• Define and own the AI product vision, roadmap, and success metrics aligned with enterprise priorities.
• Identify, evaluate, and prioritize high-value AI and GenAI use cases across various business domains.
• Translate complex business problems into clear product requirements, AI hypotheses, and acceptance criteria.
• Partner with Data Scientists, ML Engineers, and Architects on model selection, data readiness, and deployment strategies.
• Drive product execution from initial ideation and POC through to production launch and continuous improvement.
• Ensure data quality, model performance, scalability, and lifecycle management through MLOps.
• Establish and follow responsible AI practices, including fairness, explainability, privacy, and risk management.
• Track and communicate product KPIs such as business impact, adoption, and operational efficiency to senior leadership.

Requirements

• 10–20 years of product management experience, with at least 5 years specifically in AI/ML products.
• Bachelor's degree in Engineering, Computer Science, Data Science, Analytics, or a related field.
• Strong understanding of AI/ML concepts including supervised/unsupervised learning, NLP, and GenAI.
• Experience working with data pipelines, feature engineering, model deployment, and monitoring.
• Familiarity with MLOps practices and the AI product lifecycle.
• Hands-on experience with Microsoft Azure services and cloud-based AI platforms.
• Proven ability to manage stakeholders and lead cross-functional, global teams.

Preferred Qualifications

• Experience working in regulated or enterprise environments such as energy, finance, or healthcare.
• Exposure to AI governance, responsible AI frameworks, and risk management practices.
• MBA or an advanced degree in a technical or business-related field.
• Proven track record of scaling AI products from pilot stages to enterprise-wide adoption.

About the Company

Chevron is one of the world's leading integrated energy companies. Through the Engineering and Innovation Excellence Center (ENGINE) in Bengaluru, we combine global expertise with local talent to solve the world's energy challenges through technological innovation and human ingenuity.