What You'll Do The 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.
- 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.
Who You'll Work With You will partner with AI Product leadership to influence roadmap prioritization based on monetization potential.
What Makes You a Qualified Candidate - 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; MBA or equivalent preferred
What You'll Bring - 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
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