Staff AI Analytics Product Manager

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. 

Ultimately, we strive to make the world work better for our employees and customers—when you work in ServiceNow Digital Technology, you work for them. 

ServiceNow is 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 challenging yourself to always be better. 

As ServiceNow continues its unprecedented growth, the company seeks to further establish its data and advanced analytics foundation and capabilities. We are building a mathematical enterprise for ServiceNow, leveraging all the data signals across the enterprise to guide business decisions. We are increasingly investing in AI models to uncover insights to drive ACV growth for ServiceNow. The Staff 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. 

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 be reporting to the Senior Director, Sales and Partner Analytics. 

We are looking for a talented individual with a strategic viewpoint who can grow and adapt along with our fast-paced business. The ideal candidate is relentlessly curious, has high analytical capability and is passionate about creating innovative mathematical frameworks to understand trends, set business targets, identify opportunities, and predict business outcomes. This individual 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: 

• Identify the need to build new AI sales metric models / refine existing models, own and product manage the end-to-end development of these new AI models with Data Science teams as well as refinement and activation of existing data models in partnership with Data Science teams.  
• Develop user-centric dashboard prototypes (Tableau or PowerBI) of very high visual standards; dashboards must reflect mathematical AI models in a very consumable and actionable way for sales 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 data and AI models; incorporates feedback loop instrumentation into the design. 
• Bring the promise of data science and machine learning to reality within analytics for sales, increasing decision effectiveness and speed. 
• Partner very closely with machine learning engineers, data engineers, BI engineers to own the end-to-end lifecycle of AI model development to inclusion in core reporting data models and dashboard front-end / visual engineering work. 
• Drive the adoption of products amongst the user community, increase product satisfaction and drive ACV the impact from Analytics products. 

To be successful in this role you have:

• Domain Expertise 
  • 8+ years of experience supporting large sales organizations, ideally at a publicly traded company or exposure to enterprise business processes in either Marketing or Sales or Customer Success etc. in a cloud-based business model 
  • Bachelor’s Degree in an analytical field (e.g., Mathematics, Computer Science, Statistics, Engineering, Business or a related field). Master’s Degree is a plus. 
  • Should have worked on multiple end-to-end AI/ML solutions (metrics curation to reporting activation) in Analytics product management or data science 
• Core Skills 
  • Proven track record of using data to drive business decisions including the ability to structure problems for analysis, analyze the data, and provide actionable recommendations through effective and compelling storytelling 
  • Experience with Tableau, Power BI (or similar analytical packages) is a must 
  • Experience with product development and managing agile scrum teams 
  • Strong SQL skills are desired 
  • Experience with Python, R, 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 

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For positions in the Bay Area, we offer a base pay of $158,500 - $277,500, 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 (subject to eligibility requirements). Compensation is based on the geographic location in which the role is located, and is subject to change based on work location.

ServiceNow is an Equal Employment 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.

At ServiceNow, we lead with flexibility and trust in our distributed world of work. Click here to learn about our work personas: flexible, remote and required-in-office.

If you require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact us at [email protected] for assistance.

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

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