Senior AI Product Strategy Director

Teradata; Atlanta (GA); Hybride; USD 180 000 - 280 000; Plein temps

Résumé du poste

Teradata is seeking a senior AI product leader to drive the AI product management strategy across our global portfolio. You will define how Teradata integrates AI/ML into enterprise data and analytics platforms, shaping the roadmap for AI-enabled workloads.

You will collaborate with engineering, cloud infrastructure, data science, and governance teams to deliver AI capabilities across hybrid and multi-cloud environments, balancing innovation with performance and governance.

Qualifications

• 10+ years of product management experience, including 5+ years leading AI/ML or advanced analytics products.
• Deep technical expertise in AI/ML concepts (LLMs, foundation models, supervised/unsupervised learning, fine-tuning, inference pipelines).
• Experience embedding AI into enterprise-scale platforms (data management, analytics, cloud).
• Strong fluency with AI infrastructure (distributed training, inference optimization, GPUs).
• Experience defining APIs, SDKs, and developer integrations for enterprise AI adoption.

Responsabilités

• Define and influence AI product strategy across Teradata’s global portfolio.
• Set the roadmap for embedding AI into mission-critical workloads.
• Collaborate with engineering, cloud, data science, UX, and governance to deliver AI capabilities across hybrid/multi-cloud environments.

Connaissances

AI product management

AI/ML concepts

Cross-functional leadership

Stakeholder communication

Cloud & data platforms

Formation

Master’s or PhD in CS / Data Science / Engineering

Outils

APIs & SDKs

Description du poste

Teradata is seeking a senior AI product leader to drive the AI product management strategy across our global portfolio. You will define how Teradata integrates AI/ML into enterprise data and analytics platforms, shaping the roadmap for AI-enabled workloads.

You will collaborate with engineering, cloud infrastructure, data science, and governance teams to deliver AI capabilities across hybrid and multi-cloud environments, balancing innovation with performance and governance.