Director, Pricing Strategy, AI Platform

Director of Pricing Strategy for the AI Platform leads monetization for Teradata’s AI/ML, LLM, agentic, and compute-intensive workloads. This role shapes how Teradata captures value in the rapidly evolving AI market.

Responsibilities

Develop and own the end-to-end pricing strategy for the AI Platform portfolio; Define pricing strategy for AI workloads, including model training, inference, vector search, and agentic orchestration; Build usage-aligned pricing models that scale with compute, GPU, and AI service consumption; Conduct competitive analysis across AI platforms; Develop packaging and SKU strategy for AI platform and add-ons; Collaborate with Finance to model revenue impact, elasticity, and pricing scenarios; Partner with Sales and Deal Desk to ensure pricing is executable and aligned with field needs; Establish pricing guardrails and discount frameworks specific to AI workloads; Drive readiness for AI product launches, including pricing, PIDs, CPQ requirements, and enablement

Requirements

10–15+ years in pricing, AI product strategy, or cloud monetization; Experience with AI/ML platforms and agentic AI pricing; Strong financial modeling and scenario analysis skills; Proven track record building value-based pricing models; Experience partnering with Product, Finance, and Sales leadership; Bachelor’s degree required; Deep understanding of AI/ML workloads, GPU economics, and model lifecycle; Ability to simplify complex technical concepts into clear pricing narratives; Highly collaborative; strong cross functional influence; Executive presence with strong storytelling and framing skills; Comfortable operating in ambiguity and driving clarity

Nice to have

MBA or equivalent preferred

Benefits

People-first culture; Flexible work model; Focus on well-being; Inclusive environment