Product Commercialization Manager

Role overview Own the operational process that turns product offerings into sellable, billable SKUs, from requirements gathering through launch and ongoing catalog maintenance. The role connects product, sales, finance, systems, and operations teams, while improving pricing decisions, governance, and process efficiency across a B2B software portfolio.

Responsibilities - Coordinate SKU requirements, configuration, testing, release, updates, and retirement in a CPQ system; document clear business rules and maintain a shared commercialization playbook. - Lead cross-functional launch and process improvement projects, tracking scope, milestones, dependencies, risks, and decisions through delivery. - Review SKU catalog structure and sales or discounting patterns to recommend catalog, packaging, and pricing changes. - Establish intake, approval, naming, taxonomy, and review practices that improve data quality and reduce launch delays. - Analyze realized versus list pricing and estimate revenue, margin, and recurring-revenue effects of proposed changes. - Define and report on service levels, quality measures, and process performance; identify automation opportunities, including AI-enabled improvements.

Requirements - Bachelor’s degree in business, finance, operations, information systems, or a related area, or equivalent experience. - At least five years of relevant experience in product operations, revenue operations, deal desk, commercial program management, or a similar function in B2B software. - Hands-on Conga CPQ experience, including catalog management, pricing rules, approval workflows, and SKU configuration. - Experience leading cross-functional process changes and demonstrating measurable outcomes. - Ability to analyze sales, discount, or pricing data and turn findings into practical recommendations. - Strong project management, stakeholder facilitation, and written communication skills; able to prepare executive-ready documentation and manage concurrent work. - Familiarity with AI and automation in commercial operations, and willingness to travel up to 20% annually.

Nice to have Experience applying AI or machine learning capabilities in CPQ and evaluating automation for accuracy, compliance, and auditability.