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As a Principal AI Pricing Strategist supporting Blackbaud’s Product Organization, you will partner directly with Product P&L owners to design, test, and scale monetization for new innovative pricing models including AI enabled capabilities across our portfolio. You’ll own the pricing and packaging due diligence process for assigned product lines, guiding the evolution from adoption oriented approaches to sustainable, value aligned monetization as customer use cases and technology maturity progress. Your work will balance customer value, willingness to pay, and cost to serve with clear operational guardrails, ensuring price realization and healthy product margins while accelerating sustained customer adoption.
Job Responsibility
Act as the pricing lead for assigned product lines. Define and test new AI packaging and pricing strategies and recommend when to prioritize adoption vs. direct monetization
Partner with Product GMs/P&L owners to build a multi‑phase monetization roadmap that evolves with use‑case maturity setting decision gates, KPIs, and guardrails for when to pivot from trial/adoption to scaled monetization
Design and model pricing constructs and run sensitivity scenarios that incorporate AI cost drivers to protect margins
Define telemetry requirements and entitlement controls that enable scalable usage management and predictable economics
Lead concept testing, A/B pilots, and controlled rollouts
synthesize customer feedback to refine offers and price fences
Collaborate with Deal Desk, Finance, and Legal to translate pricing policies into operational workflows that increase approval velocity without sacrificing governance
Create rate cards, SKU structures, discount guidelines, and upgrade pathways
train Product Management and GTM on the how and why behind AI pricing decisions
Own price realization and margin outcomes. Monitor attach rates, price capture, usage vs. entitlement, and cost‑to‑serve
recommend continuous improvements to maximize value capture while maintaining customer trust
Requirements
7+ years in pricing strategy/product monetization for SaaS
2+ years working on AI enabled products
3+ years demonstrated results in development, test and launch of license based, usage based, outcome/performance based, and hybrid pricing models
strong financial modeling incorporating AI model/token economics and inference cost variability
experience partnering with Product GMs/P&L owners and influencing cross‑functional teams
familiarity with SaaS O2C, entitlement/metering, CPQ, and data/telemetry instrumentation for pricing analytics