AI Product Manager

Job Description AI Product Manager Job Description AI Product Manager Job Details Location: Manhattan, NY (On-site, 5 days/week). May also be based in Dallas, TX office. Req ID: 369449 Company: NTT DATA Compensation & Benefits Salary Range: $78,948.00 - $131,700.00 (Annual, varies by location and qualifications). Benefits: Medical, dental, vision insurance Flexible Spending/Health Savings Account Life and AD&D insurance Short/Long-term disability Paid time off Employee assistance; 401(k) with company match. About The Role As an AI Product Manager , you will define the strategy, roadmap, and execution for Generative AI agentic solutions. Your mission is to reduce risk and cost in complex production environments by translating operational challenges into innovative AI-driven solutions. You will collaborate with engineering, production support, and application teams to deliver high-impact, reliable, and safe AI products. Key Responsibilities Define product vision, strategy, and roadmap for agentic AI systems. Translate user pain points into product requirements, user stories, and success metrics. Lead end-to-end lifecycle for LLM-based products from discovery to iteration. Establish evaluation frameworks for LLMs and prioritize RAG pipelines, prompt engineering, and validation loops. Drive integrations with observability, incident management, and deployment systems. Conduct user research and translate production challenges into roadmap priorities. Own AI safety, governance, reliability, and fallback strategies. Define and monitor KPIs such as cost, latency, and user satisfaction. Own data and knowledge strategy including RAG pipeline and data validation. Lead product design reviews and promote data-driven experimentation. Mentor teams on AI product management and best practices. Basic Qualifications Bachelor's degree in Engineering, Computer Science, or equivalent. 10-15 years of experience with significant product management exposure. 5+ years of experience leading large-scale AI/ML or cloud-based product initiatives. 5+ years: Strong understanding of LLMs, agentic systems, RAG pipelines, and MLOps. 5+ years: Ability to engage deeply with engineering teams on technical topics. Strong communication skills for technical and non-technical stakeholders. Experience working in fast-paced, cross-functional environments. Strong analytical and data-driven decision-making skills. Proven ability to influence without direct authority. Preferred Qualifications (Nice To Have) Experience working with enterprise-scale production environments. Familiarity with observability and incident management tools. Experience in prompt engineering and LLM evaluation frameworks. Exposure to AI safety, governance, and compliance standards. Prior experience mentoring product managers or leading product communities. Knowledge of cloud platforms such as AWS or Google Cloud in AI contexts.