Role- AI Product Pricing
Location- Noida & Hyderabad
Experience- 12-17 Years
Role Summary:
Define and maintain the pricing, packaging, and unit-economics model for the product — including the cost-to-serve of AI inference — and specify how metering, entitlement, and billing must be built. This role sits at the intersection of product finance and product spec-writing: the output is not just a spreadsheet, it's a PRD-quality specification the CTO org builds against and that this role later validates delivery against.
Key Responsibilities:
Build and maintain the pricing model and margin analysis per SKU/tier, including sensitivity analysis on key cost drivers
Model AI cost-to-serve — tokens, compute (GPU/CPU), storage — and quantify its effect on gross margin at different usage tiers
Specify metering, entitlement, and billing requirements as a PRD-grade document for the CTO org to build against (not a slide deck — a spec with edge cases, definitions, and acceptance criteria)
Validate delivered metering/billing against the spec; own reconciliation of billed vs.
actual usage and flag discrepancies
Benchmark competitor pricing, packaging, and unit economics for comparable AI-native products; identify what structurally differentiates their pricing model (e.g., seat-based vs. consumption vs. hybrid, included-usage thresholds, overage mechanics)
Must-Have Requirements:
10+ years in pricing analytics, product finance, or monetization strategy, with at least one example of owning a pricing model end-to-end (not just contributing analysis)
Advanced modeling in Excel/SQL/Python, with assumptions that are documented and defensible under questioning — be ready to walk through one model live
Solid grounding in SaaS and consumption-based pricing mechanics: overage, tiering, commitment discounts, blended vs. marginal cost
Can write a PRD-quality specification, not just an analysis deck — must be able to produce a work sample or walk through a prior spec
Working understanding of to
📌 AI Product Pricing (Noida)
🏢 HCLTech
📍 Noida