ServiceNow Logo

ServiceNow

Director, Packaging & Monetization Strategy - Employee Experience Group

Posted 49 Minutes Ago
Be an Early Applicant
Hybrid
Mountain View, CA
184K-322K Annually
Senior level
Hybrid
Mountain View, CA
184K-322K Annually
Senior level
Own monetization and packaging strategy for ServiceNow’s EmployeeWorks AI products. Develop pricing models, bundles, rate cards, consumption strategies, and sales plays that drive acquisition, retention, expansion, and profitability. Partner cross-functionally with Product, Data Science, Engineering, Marketing, Sales, Finance, and executives. Lead usage analytics, financial modeling, competitive research, pricing experiments, and go-to-market alignment across direct, partner, and reseller channels.
The summary above was generated by AI
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

As Director of Monetization & Packaging Strategy for the EmployeeWorks Business Unit, you’ll own how our AI products are monetized, packaged, and brought to market. You’ll partner with Product, Data Science, Marketing, Sales, Finance, and executive leadership to turn pricing into a growth lever, building models and offers that drive acquisition, expand existing customers, and protect retention. This role sits at the center of product strategy and go-to-market, and it shapes how customers experience the value of EmployeeWorks from first deal through renewal. 

What you’ll do 

Pricing strategy development and innovation 

  • Partner with Product, Data Science, Marketing, Sales, Finance, and executives to build pricing models for every new or repackaged SKU. 

  • Partner with ServiceNow’s central pricing team to keep EmployeeWorks pricing and packaging aligned with company-wide pricing strategy. 

  • Develop and maintain pricing strategies that align with BU and company objectives, grounded in primary research, financial modeling, stakeholder interviews, and competitive research. 

  • Design pricing, bundling, and offer strategies, along with the sales plays that bring them to market, to maximize customer acquisition, retention, and revenue. 

Consumption pricing strategy 

  • Own the consumption pricing strategy for the BU, including setting the rate card for Assist consumption. 

  • Propose rate card and consumption pricing changes in partnership with the central pricing team. 

  • Partner with Data Science and Engineering on Assist metering telemetry, so usage is measured accurately and billed consistently. 

  • Drive token spend analysis and optimization to protect margins as customer usage scales. 

  • Own consumption tracking, analysis, and insights for the business, turning usage trends into pricing, packaging, and forecasting decisions. 

Go-to-market alignment 

  • Align monetization efforts across Sales, Marketing, and post-sales success teams so pricing translates into revenue and retention. 

  • Build and maintain a centralized pricing excellence hub that equips sales and renewals teams to price with confidence. 

  • Help sales build glide paths to different SKU options that drive upsells and renewals. 

  • Manage pricing strategy across direct, partner, and reseller channels, ensuring consistent execution and profitability across all of them, including third-party partnerships. 

Insights and analytics 

  • Build frameworks to monitor pricing performance and present insights and recommendations to senior leadership. 

  • Create financial models and analyses to assess the impact of pricing decisions, and design experiments to test pricing hypotheses. 

Competitive intelligence and market analysis 

  • Lead pricing research, including competitor analysis and market benchmarking, to keep EmployeeWorks competitively positioned. 

 

 

Qualifications

What you bring to the table 

  • 7+ years of experience in pricing strategy, product monetization, or financial analysis, ideally in SaaS or AI. 

  • Deep expertise in financial modeling, revenue optimization, and strategic analysis. 

  • A track record of pricing decisions that delivered measurable business impact. 

  • Strong leadership presence and experience influencing senior stakeholders toward business outcomes. 

  • Proven operator in cross-functional environments: strong prioritization instincts, able to build consensus and drive results without direct authority. 

  • Strong judgment about when to act independently and when to escalate, with the ability to navigate ambiguity. 

  • Comfort operating in a highly collaborative, fast-paced environment. 

  • Proven ability to thrive in a highly dynamic environment where written guides and playbooks are sparse and changes occur nearly daily: you create structure where none exists, ramp quickly, ask sharp questions, stay current without being told, and keep partners and leadership aligned as things shift. 

  • Excellent communication skills, with a talent for making complex pricing concepts clear to non-financial audiences. 

  • Fluency in AI, with the ability to translate engineering and product concepts for non-technical stakeholders and represent EmployeeWorks products to central pricing, product management, and GTM teams. 

For positions in this location, we offer a base pay of $184,100 - $322,200, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

ServiceNow New York, New York, USA Office

50 Hudson Yards, New York, NY, United States, 10001

Similar Jobs at ServiceNow

49 Minutes Ago
Hybrid
221K-387K Annually
Expert/Leader
221K-387K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Own the architecture and technical direction of ServiceNow’s cyber defense data and platform systems. Design scalable security data platforms, schemas, telemetry pipelines, AI/ML foundations, access controls, and governance. Lead cross-team architecture decisions, establish engineering standards, mentor engineers, and connect platform investments to detection, investigation, response, data quality, and security outcomes.
Top Skills: AbacAi AgentsBatch PipelinesCi/CdCloud Data PlatformsData WarehousesGoJavaLarge Language ModelsMachine LearningPolicy-As-CodePythonRbacSIEMSQLStreaming Pipelines
Yesterday
Hybrid
143K-243K Annually
Senior level
143K-243K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and operate large-scale search infrastructure for an agentic AI platform. Responsibilities include hybrid and multimodal indexing, ingestion and enrichment pipelines, semantic and keyword retrieval, entity resolution, knowledge graphs, permission-aware content processing, performance optimization, observability, capacity planning, and cluster scaling. The role owns search infrastructure end to end and collaborates closely with ranking, machine learning, and platform engineering teams in person.
Top Skills: ElasticsearchLuceneOpensearchSolrVector Databases
Yesterday
Hybrid
176K-308K Annually
Senior level
176K-308K Annually
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead the architecture and development of a generative AI search platform for conversational question answering. Build retrieval, ranking, evaluation, and LLM-enabled capabilities supporting multi-turn and multi-hop queries across enterprise knowledge sources. Establish scalable, secure, private, and high-quality platform foundations, while coaching engineers, guiding technical direction, improving interview processes, and partnering with product, design, infrastructure, data science, and customer-facing teams.
Top Skills: Agentic SearchGenerative AiGoInformation RetrievalLarge Language ModelsMachine LearningNatural Language UnderstandingPythonQuestion Answering SystemsRecommendation SystemsRetrieval Augmented Generation (Rag)Search Ranking

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account