MathWorks is hiring a Senior Business Model Strategist (Pricing & Monetization) to lead pricing, packaging, and licensing strategies across Desktop, SaaS, and GenAI products. The role requires balancing customer value, adoption, and growth by owning pricing frameworks, conducting quantitative analyses, and collaborating with cross-functional teams to drive product and business outcomes.
Highlights
Own pricing and licensing strategy for B2B and B2C offerings, aligning with product value and long-term business goals.
Conduct forecasting, scenario modeling, and impact assessment to optimize revenue, margin, and customer experience.
Collaborate with Business Model, Sales, Marketing, Finance, and Product teams to integrate pricing strategies with company objectives.
Analyze competitive pricing and market trends to identify risks and opportunities.
Lead pricing initiatives from concept to implementation, ensuring operational feasibility.
Require at least 10 years of experience in pricing analysis, product marketing, or related fields and a bachelor’s degree.
Prefer candidates with a master’s degree in Marketing, Economics, Finance, Statistics, Mathematics, Business, or related disciplines.
Advanced skills in Excel and experience with analytical, statistical, or data-visualization tools.
Experience with SaaS monetization, usage-based pricing, cloud licensing, and pricing for AI/ML or GenAI products.
Strong communication skills with ability to present to senior leadership and lead cross-functional initiatives.
Senior Business Model Strategist (Pricing & Monetization) Full Description
Senior Business Model Strategist (Pricing & Monetization)
MathWorks is seeking a senior, product‑minded leader to shape pricing, packaging, and licensing across Desktop, SaaS, and GenAI offerings. You will work at the intersection of product strategy and monetization, defining models that balance customer value, adoption, and long‑term growth. The role leads pricing and licensing frameworks for new launches, SaaS and GenAI monetization, global price updates, and major business‑model transitions.
It’s ideal for candidates from Pricing, Product Marketing, or Product Management who enjoy cross‑functional decision‑making and using data to drive product and business outcomes. A minimum of 10 years of experience in pricing analysis, product marketing, or related fields is required.
Responsibilities
Own pricing and licensing strategy as a product lever across B2B and B2C offerings, aligning monetization with product value, customer workflows, and long‑term business objectives.
Lead quantitative analyses—forecasting, scenario modeling, and impact assessment—to evaluate tradeoffs across revenue, margin, adoption, and customer experience.
Partner with Business Model, Sales, Marketing, Finance, and Product teams to align pricing recommendations with broader company goals.
Assess competitive pricing, market trends, and monetization patterns to identify risks, opportunities, and inflection points.
Forecast revenue, margin, and adoption outcomes for proposed pricing changes across global markets.
Prepare clear, compelling analyses and recommendations for senior leadership and cross-functional stakeholders.
Drive pricing initiatives from concept through implementation, working with cross‑functional teams to ensure changes are operationally feasible and accurately executed in systems and processes.
Contribute to continuous improvement of pricing analytics, frameworks, and methodologies.
Minimum Qualifications
A bachelor's degree and 10 years of professional work experience (or equivalent experience) is required.
Additional Qualifications
Bachelor’s degree in Marketing, Economics, Finance, Statistics, Mathematics, Business, or a related field; a Master’s degree is preferred.
Proven experience influencing product, packaging, pricing, or monetization decisions using qualitative insight and quantitative analysis.
Strong analytical and quantitative skills with the ability to translate data into actionable insights.
Excellent communication and presentation skills, including experience presenting to senior and cross‑functional audiences.
Advanced proficiency with Excel and experience using analytical, statistical, or data‑visualization tools.
Demonstrated ability to lead complex, cross‑functional initiatives through influence rather than authority.
Experience with SaaS pricing, monetization models, usage‑based pricing, or cloud licensing.
Background in pricing for AI/ML or GenAI products.
Experience leading or supporting major business‑model transitions (e.g., Desktop‑to‑SaaS, licensing modernization).
Familiarity with enterprise software and global pricing structures.
Knowledge of statistical analysis, forecasting methods, or pricing optimization techniques.