Product Management Leader, Agentic AI

Teradata is a leading company in cloud analytics and data platforms for AI, empowering customers to make better decisions. The Product Management Leader will drive AI product management strategy, integrating AI/ML technologies into enterprise-scale data and analytics platforms, while ensuring scalability and customer value.

Responsibilities:

• Define and influence how Teradata integrates AI/ML technologies into our enterprise-scale data and analytics platforms
• Set the roadmap for embedding AI into mission-critical workloads, balancing innovation with performance, governance, and compliance
• Deliver enterprise-grade AI solutions optimized for hybrid and multi-cloud deployments, unlocking measurable customer value while ensuring scalability, reliability, and cost-efficiency of AI workloads
• Collaborate with engineering, cloud infrastructure, data science, UX, and governance functions to bring next-generation AI capabilities into Teradata’s enterprise ecosystem
• Responsible for the product vision, roadmap, and execution of AI initiatives, ensuring they meet both business and technical objectives
• Act as the strategic AI product leader for Teradata, influencing global product direction

Requirements:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field (PhD preferred)
• 5+ years of product management experience, including 2+ years leading AI/ML or advanced analytics products
• Deep technical expertise in AI/ML concepts, including LLMs, foundation models, supervised/unsupervised learning, fine-tuning, inference pipelines, and multi-modal AI
• Proven success embedding AI into enterprise-scale platforms, especially in data management, analytics, or cloud environments
• Strong technical fluency with AI infrastructure — including distributed training, inference optimization, GPU/accelerator integration, and workload orchestration
• Experience defining APIs, SDKs, and developer integrations for enterprise AI adoption
• Demonstrated knowledge of hybrid and multi-cloud architectures and their impact on AI performance, scalability, and cost optimization
• Familiarity with governance and compliance frameworks (HIPAA, GDPR, SOC2) and applying them to AI/ML solutions
• Exceptional communication skills with the ability to influence C-level stakeholders and articulate AI product strategy
• Track record of customer engagement, market analysis, and competitive benchmarking in enterprise software
• Expertise in optimizing AI workloads across cloud and hybrid environments, ensuring cost-efficiency and performance at scale
• Hands-on knowledge of GPU, TPU, and emerging accelerator technologies for training, inference, and fine-tuning AI models
• Ability to bridge AI model development with structured and unstructured enterprise data at petabyte scale
• A strong understanding of responsible AI, including fairness, explainability, auditability, and bias detection
• Vision to anticipate industry trends and position Teradata's AI offerings as differentiated and enterprise-ready
• Passion for enabling intuitive, AI-powered user experiences (e. g. , natural language query, automated insights, intelligent automation)
• Ability to operate as a senior leader — setting strategy, guiding technical direction, and influencing globally