Monetization Strategy Director

Company Description

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Job Description

The Monetization Strategy Director will be a trusted advisor and thought leader for the CRM and Industry Workflow to drive impactful monetization strategies from idea to execution.

What you get to do in this role:

- Determine, support, and execute monetization strategies for ongoing and new innovations across ServiceNow’s product portfolio

- Drive prioritization and clarity of pricing and packaging strategies across Business Units

- Work cross-functionally across product, GTM, and operational stakeholders to ensure monetization strategies align to corporate pricing and packaging strategic roadmap

- Prepare product leaders for the Pricing Committee approval reviews with pricing proposals that are robust

- Provide key monetization strategy inputs into Business Unit 3-year strategic plans, ensuring interlock with product strategies

- Drive strategic pricing analytics and insights from data and market analyses

- Lead customer/market studies around feature value, packaging and pricing

- Transform key insights into actionable recommendations and communicate findings to cross-functional stakeholders and senior executive leadership

Qualifications

To be successful in this role you have:

- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.