Senior AI Product Leader, Enterprise Cloud

Teradata; Lincoln (NE); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health insurance

Flexible work model

Job summary

Teradata is seeking a senior AI product leader to define and drive AI product strategy across our global portfolio. You will shape how AI/ML technologies are embedded into enterprise data analytics platforms, setting roadmaps and ensuring governance, performance, and cost efficiency.

Collaborate with engineering, data science, UX, and governance to deliver enterprise-grade AI workloads for hybrid and multi-cloud deployments, influencing global directions and customer value.

Qualifications

• 10+ years in product management, with 5+ years in AI/ML or analytics products.
• Deep technical AI/ML knowledge: LLMs, foundation models, supervised/unsupervised learning.
• Experience embedding AI into enterprise-scale platforms, esp. data and cloud.
• Fluent in AI infrastructure: distributed training, GPU acceleration, orchestration.
• Experience defining APIs, SDKs, and developer integrations.
• Familiarity with hybrid/multi-cloud architectures and governance/compliance (HIPAA, GDPR, SOC2).
• Excellent communication with C-level stakeholders; strong market/customer insight.

Responsibilities

• Define and influence Teradata’s AI product strategy across the global portfolio.
• Set the roadmap for embedding AI into mission-critical workloads with governance.
• Collaborate with engineering, data science, UX, and governance to deliver AI capabilities.
• Lead enterprise AI solutions with scalability, reliability, and cost-efficiency.

Skills

AI/ML leadership

LLMs & foundation models

AI infrastructure

APIs & SDKs

Hybrid/multi-cloud

C-level communication

Customer engagement

Roadmapping & strategy

Education

CS/DS/Engineering degree

Job description

Teradata is seeking a senior AI product leader to define and drive AI product strategy across our global portfolio. You will shape how AI/ML technologies are embedded into enterprise data analytics platforms, setting roadmaps and ensuring governance, performance, and cost efficiency.

Collaborate with engineering, data science, UX, and governance to deliver enterprise-grade AI workloads for hybrid and multi-cloud deployments, influencing global directions and customer value.