Senior AI Product Leader for Enterprise Platforms

Teradata; Washington; Ibrido; USD 230.000 - 340.000; Tempo pieno

Descrizione del lavoro

Teradata is seeking a senior product leader to drive AI product management across its global portfolio. You will define how Teradata integrates AI/ML into enterprise data platforms, setting the roadmap for AI-driven insights, automation, and intelligent applications in hybrid/multi-cloud deployments.

You will collaborate with engineering, cloud infrastructure, data science, and governance teams to ensure scalable, compliant AI workloads while delivering measurable customer value and cost

Competenze

• Experience leading AI/ML or advanced analytics products.
• Deep technical knowledge of LLMs, foundation models, supervision, and inference pipelines.
• Proven track record embedding AI into enterprise-scale platforms.
• Strong fluency with AI infrastructure (GPU/accelerator integration, distributed training).
• Experience defining APIs, SDKs, and developer integrations.
• Familiarity with governance and compliance frameworks (HIPAA, GDPR, SOC2) in AI.

Mansioni

• Define and execute AI product strategy across Teradata’s global portfolio.
• Set the roadmap for embedding AI into mission-critical workloads.
• Collaborate with engineering, cloud, data science, and governance teams.
• Influence C-level stakeholders and translate business needs into AI capabilities.

Conoscenze

AI/ML concepts

LLMs

Foundation models

APIs & SDKs

Hybrid & multi-cloud

Governance & compliance

Executive communication

Customer engagement

Formazione

Bachelor’s; Master’s in Computer Science, Data Science, Engineering, or related field

Descrizione del lavoro

Teradata is seeking a senior product leader to drive AI product management across its global portfolio. You will define how Teradata integrates AI/ML into enterprise data platforms, setting the roadmap for AI-driven insights, automation, and intelligent applications in hybrid/multi-cloud deployments.

You will collaborate with engineering, cloud infrastructure, data science, and governance teams to ensure scalable, compliant AI workloads while delivering measurable customer value and cost