Strategic Pricing Analyst, AI Products
Overview
This role supports the Product organization as an AI Pricing Strategist, partnering directly with Product P&L owners to design, test, and scale monetization for new pricing models with AI-enabled capabilities across the product portfolio.
You will lead pricing and packaging due diligence for assigned product lines, guiding evolution from adoption-oriented approaches to sustainable, value-aligned monetization as customer use cases and technology maturity progress. The work balances customer value, willingness to pay, and cost to serve, with operational guardrails to protect price realization and product margins while accelerating sustained customer adoption.
Monetization models may include license-based, usage-based, outcome/performance-based, and hybrid constructs commonly used in SaaS and AI monetization.
Responsibilities
- Act as the pricing lead for assigned product lines; define, test, and recommend AI packaging and pricing strategies, including 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 using decision gates, KPIs, and guardrails for transitioning from trial/adoption to scaled monetization.
- Design and model pricing constructs; run sensitivity scenarios that incorporate AI cost drivers to protect margins.
- Define telemetry requirements and entitlement controls to 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 by monitoring 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 with demonstrated results in development, test, and launch of license-based, usage-based, outcome/performance-based, and hybrid pricing models; ability to select and adapt constructs over time.
- Strong financial modeling skills, including AI model/token economics and inference cost variability.
- Experience partnering with Product GMs/P&L owners and influencing cross-functional teams (Product, Finance, Legal, Sales Ops/Deal Desk) without formal authority.
- Familiarity with SaaS O2C, entitlement/metering, CPQ, and data/telemetry instrumentation for pricing analytics.
- Exceptional communication skills; ability to translate complex pricing tradeoffs into clear, customer-centric narratives.
Compensation & Benefits
- Starting base pay: $87,700.00 to $114,200.00. Pay may vary based on employee qualifications, market value, company finances, and other operational considerations.
Benefits include:
- Medical, dental, and vision insurance
- Remote-flexible workforce
- Wellness Programs
- 401(k) program with employer match
- Flexible paid time off
- Generous Parental Leave
- Donations for Doers
- Pet insurance, legal and identity protection
- Tuition reimbursement program
Equal Opportunity
The employer is an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status, or any other basis protected by federal, state, or local law.