AI Manager - Product Management
- Dallas, TX, United States
$134,000 to $168,000 USD / year
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Job details
- Pay
- $134,000 to $168,000 USD / year
- Posting language
- English
- Posted
Original job description
Required Skills & Experience
Bachelor’s degree in Business, Engineering, Management Information Systems, or a related field. 10+ years of experience in product management, product leadership, digital delivery, or a related function within a technology-intensive, enterprise environment. 5+ years of people management experience, with a demonstrated ability to develop high-performing teams. Experience leading an enterprise product portfolio with multiple concurrent products or initiatives. Experience developing product strategies, roadmaps, business cases, and prioritization frameworks. Demonstrated ability to balance strategic direction, delivery execution, stakeholder needs, and governance requirements. Experience establishing and managing KPIs to measure product and portfolio outcomes. Experience in oil and gas, energy, or another asset-intensive industrial sector. Experience deploying generative AI, machine learning, or advanced analytics products in production environments. Working knowledge of AI lifecycle management, responsible AI practices, and enterprise product operating models. Experience establishing or scaling a product management function, portfolio governance model, or AI product capability. Experience applying AI-enabled tools and rapid prototyping techniques during product discovery and solution validation.
Job Description
The AI Manager – Product Management leads all product management function, translating business priorities and opportunities into well-defined AI products that deliver measurable business outcomes. This role leads and develops AI Product Owners, establishes consistent product discovery and management practices, and ensures products are grounded in clearly defined business problems, user needs, success measures, and value hypotheses. Serving as a primary connection between business stakeholders and AI delivery teams, the manager drives disciplined discovery, rapid validation, product definition, business acceptance, adoption, and continuous improvement across the AI portfolio.