Pricing & Monetization Strategist

Daxko•Birmingham, AL

17h

About The Position

The Pricing & Monetization Strategist develops and executes pricing, packaging, and usage-based and AI-enabled monetization approaches across Daxko’s portfolio of health, fitness, and wellness software solutions. Reporting to the Manager, Product Operations, this individual contributor partners with the Chief Product Officer, Finance, Sales, Product Management, Product Marketing, and technical teams. The role turns ambiguous pricing and billing problems into structured analysis, clear recommendations, and executable packaging, billing, metering, and analytical frameworks with minimal direction. The strategist builds financial and analytical models to evaluate pricing changes, supports executive decisions, and helps implement approved approaches across business and billing systems. The role also develops repeatable methodologies and templates, helps simplify or standardize pricing and billing, and evaluates the performance of approved pricing changes. As the practice matures, there may be an opportunity to grow the role into a broader pricing and monetization function. The role focuses on monetization across Daxko’s Nonprofit, Club, and Boutique markets, including defining how AI-enabled capabilities are priced, packaged, and metered. It requires analytical pricing expertise, practical knowledge of billing and business systems, fluency in applying AI tools, and the ability to build business cases that advance cross-functional work.

Requirements

Bachelor’s degree in Business, Finance, Economics, Engineering, or a related field.
At least 5 years of experience in pricing, monetization, or revenue operations, with direct experience in SaaS or subscription/usage-based business models.
Demonstrated experience translating pricing strategy into billing and metering requirements.
Strong financial modeling skills, including margin and contribution analysis, discount and exception analysis, and SQL proficiency.
Working fluency with CRM and ERP systems such as Salesforce and NetSuite or equivalents, including how pricing rules are implemented in them.
Experience presenting pricing or financial recommendations to senior leadership.
Experience using AI tools to accelerate analysis, research, or modeling.
Track record designing tiered packaging and pricing structures, including usage-based and hybrid models, in B2B SaaS.
Understanding of pricing and packaging AI-enabled capabilities, including value metrics, consumption-based models, and relevant cost dynamics.
Ability to apply AI tools to research synthesis, data analysis, and modeling and stay current as techniques mature.
Ability to build frameworks, methodologies, or analysis practices and work across a diverse, multi-product portfolio.
Ability to build business cases that advance cross-functional systems work without formal authority and present recommendations and trade-offs to senior leaders.

Nice To Haves

Hands-on experience with a usage-based billing platform or comparable in-house metering system.
Experience pricing or monetizing AI-enabled products or features.
Knowledge of payments pricing and monetization.
Experience in a PE-backed company where pricing decisions consider shareholder value as well as customer fit.
Experience building pricing and monetization practices in a growing organization.

Responsibilities

Own rate card and packaging analysis across the portfolio, including tier structures, and model the financial impact of pricing changes on ARR, margin, cost to serve, cannibalization, and migration scenarios.
Monitor discounting and price leakage, evaluate how products are bundled and sold together, coordinate with Finance on revenue recognition treatment, and advise Sales and Revenue Operations on discount parameters and approval levels.
Build analytical cases for pricing changes using closed-deal data, usage patterns, discount exception trends, and competitive and customer research.
Present pricing and packaging recommendations, financial impacts, and trade-offs to senior leadership, and maintain the prioritized pricing backlog with Product Operations.
Partner with Product, Sales, and Product Marketing on packaging decisions and rollout, including tiering, feature gating, usage-based components, and customer transitions to new packaging at renewal or recontract.
Analyze and recommend approaches to annual price increases.
Develop monetization approaches for usage-based and AI-enabled capabilities, including value metrics, hybrid models, and unit economics.
Translate pricing approaches into billing and metering requirements, including what usage must be tracked, how it should be rated, and what billing platforms must support.
Diagnose systems and data gaps that prevent usage-based billing, connect Product, Finance, and technical teams, and build business cases to prioritize fixes.
Review approved pricing changes against revenue, churn, and expansion, and use results to refine future recommendations.
Use AI tools to accelerate research synthesis, data analysis, and financial modeling, and introduce new AI-enabled analysis techniques as they mature.
Create repeatable frameworks, methodologies, and templates, and identify opportunities to simplify or standardize pricing and billing complexity.