It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
Digital Technology
We're not yesterday's IT department, we're Digital Technology. The world around us keeps changing, and so do we. We're redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We're all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow's journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it.?
We're also changing the way people work. With a service-orientation toward the activities, tasks, and processes that make up day-to-day work life, we help the modern enterprise operate faster and be more scalable than ever before. We're disruptive. We work hard but try not to take ourselves too seriously. We are highly adaptable and constantly evolving. We are passionate about our customers, and we live for our customers. We have high expectations, and a career at ServiceNow means pushing yourself to always be better.
As we continue our unprecedented growth, the company seeks to further establish its advanced data foundation and capabilities. We are building a mathematical enterprise for ServiceNow, leveraging all the data signals across the enterprise to guide business actions. We are increasingly investing in AI models to uncover insights to drive ACV growth for ServiceNow. The Senior AI Analytics Product Manager (Sales) will be a part of our GTM Sales and Partner Analytics team and a key contributor to fully owning and product managing enterprise AI model development as well as activating the models with sales and partnership teams via intuitive reporting views.
The Role
This role requires strong sales domain expertise in the SaaS industry, experience with predictive sales metrics, and experience with enterprise reporting product management. This position will report to the Senior Director, Sales and Partner Analytics.
We are looking for a talented person with a strategic viewpoint who can grow and adapt along with our fast-paced business. The ideal candidate is relentlessly curious, has high diagnostic capability, and is passionate about creating innovative mathematical frameworks to understand trends, set business targets, identify opportunities, and predict business outcomes. This person is highly collaborative with cross-functional sales, marketing, strategy, and operations audiences at all levels of the organization.
What you get to do in this role:
Be an AI Analytics thought partner to the global Channel Partnerships organization
Identify opportunities to drive efficiency gains as well as incremental ACV unlock from the global Channel Partnerships business by product managing the development of AI-supported agentic workflows, prediction metrics, and insights
Partner across the Digital Technology group (Data Scientists, ML Engineers, Data Engineers, Power BI Engineers, Platform Engineers, and others) to product-manage and deliver the AI capabilities
Work cross-functionally to activate and enable end users to adopt the AI solutions and drive efficiency gains in their day-to-day, as well as drive incremental revenue potential for ServiceNow
Develop user-centric dashboard/visualization layer proto@types of very high standards; AI Agents/Metrics /Insights should be consumable and actionable for GTM teams, thereby driving focus and impact to net new ACV and pipeline outcomes.
Design reporting solutions with clarity on how users will act and create value from the metric and models; incorporate feedback loop instrumentation into the design.
Bring the promise of data science and machine learning to reality using advanced data foundations for sales, increasing the effectiveness and speed of business strategies
To be successful in this role, we need someone who has:
Core Requirements
8+ years of experience within a GTM function (Channel Partnerships or Sales, or Customer Success, (etc.) in a B2B business model
8 years of experience in a data-informed field (e.g., Mathematics, Computer Science, Statistics, Engineering, Business, or a related field) is a must
Prior experience in a Sales / Partner strategy domain is a must
Skills
Proven track record of using data to drive business actions, including the ability to structure problems, interpret the data, and provide actionable recommendations through effective/compelling storytelling
Must have some direct 'AI product management' experience in ideation through activation of Agentic AI solutions to solve revenue unlocking opportunities for GTM
Experience with Tableau, Power BI (or similar tools/packages) is a must
Experience with product development and managing agile scrum teams
Strong SQL skills are desired
Experience with Python, R, and Azure ML is a plus
Approach
Exceptional verbal and written communication skills and ability to engage effectively at all levels of the organization, to both technical and non-technical audiences.
Self-starter with a high degree of motivation to go above and beyond the task at hand.
Demonstrated passion for connecting the dots, digging deeper to uncover stories and trends in data, with a keen eye for detail.
Demonstrated ability to work collaboratively and effectively across different functions
FD21
For positions in this location, we offer a base pay of $163,600 - $286,300, 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.
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 (https://www.servicenow.com/content/dam/servicenow-assets/public/en-us/doc-@type/other-document/careers/new-world-of-work-personas.pdf) . 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, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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 globaltalentss@servicenow.com 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.
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