AI Product Manager

Overview

AI Product Manager is responsible for defining, delivering, and scaling AI-driven products that solve complex business problems and generate measurable value. The role bridges business strategy, data science, engineering, and platform teams to translate business workflows into reliable, ethical, and scalable AI solutions.

What you'll do

• Define and own AI product vision, roadmap, and success metrics aligned to business strategy and enterprise priorities.
• Identify, evaluate, and prioritize high-value AI and GenAI use cases across business domains.
• Translate business problems into clear product requirements, AI hypotheses, and acceptance criteria.
• Partner with Data Scientists, ML Engineers, Architects, and Platform teams on model selection, data readiness, performance targets, and deployment strategies.
• Drive product execution from ideation and POC through production launch and continuous improvement.
• Ensure data quality, model performance, scalability, monitoring, and lifecycle management (MLOps).
• Collaborate with UX, engineering, and business stakeholders to ensure strong user adoption and value realization.
• Establish and follow responsible AI practices, including fairness, explainability, privacy, and risk management.
• Track product KPIs such as business impact, adoption, model accuracy, cost, and operational efficiency.
• Communicate product strategy, progress, and outcomes to senior leadership and executive stakeholders.
• (Lead / Principal levels) Mentor and coach other product managers and contribute to AI product best practices and standards.

What you'll need

• 10–20 years of product management experience with 5+ years 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 and unsupervised learning, NLP, GenAI, and model evaluation.
• Experience working with data pipelines, feature engineering, model deployment, and monitoring.
• Familiarity with MLOps practices and AI product lifecycle management.
• Experience with Microsoft Azure services and cloud-based data and AI platforms.
• Understanding of APIs, microservices, and modern data architectures.
• Strong product management fundamentals: discovery, roadmaps, PRDs, agile delivery, and backlog prioritization.
• Ability to define value propositions and ROI for AI initiatives.
• Strong analytical, problem-solving, and decision-making skills.
• Ability to translate complex technical concepts into clear business narratives.
• Excellent communication and stakeholder management skills across technical and non-technical audiences.
• Proven ability to work effectively with global, cross-functional teams.
• Strong leadership skills with the ability to influence without authority.

Nice to have

• Experience with Generative AI and LLM-based products.
• Background in data science, engineering, analytics, or AI platform development.
• Experience in regulated or enterprise environments (e.g., oil & gas, energy, finance, healthcare).
• Exposure to AI governance, responsible AI frameworks, and risk management practices.
• MBA or advanced degree in a related field.
• Experience scaling AI products from pilot to enterprise adoption.

Details

• Location: Bengaluru, Karnataka, India.
• Standard work week is Monday to Friday.
• Working hours are 8:00am to 5:00pm or 1:30pm to 10:30pm.
• Chevron is unable to sponsor employment visas or consider individuals on time-limited visa status for this position.