Company Description

At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can’t wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make that possible. We dream big together, supporting each other to make our individual and collective dreams come true. The future is ours, and it starts with you.

With more than 7,700+ customers, we serve approximately 85% of the Fortune 500®, and we're proud to be one of FORTUNE 100 Best Companies to Work For® and World's Most Admired Companies™.

Learn more on Life at Now blog and hear from our employees about their experiences working at ServiceNow.

Unsure if you meet all the qualifications of a job description but are deeply excited about the role? We still encourage you to apply! At ServiceNow, we are committed to creating an inclusive environment where all voices are heard, valued, and respected. We welcome all candidates, including individuals from non-traditional, varied backgrounds, that might not come from a typical path connected to this role. We believe skills and experience are transferrable, and the desire to dream big makes for great candidates.

Job Description

Lead a growing team of Data Scientists and Machine Learning Engineers as they create AI models that drive ServiceNow growth even higher. Interact with stakeholders in departments across the company, identify opportunities for AI to enhance our business, match the optimal machine learning techniques to the specific business need, and then build the models that get the job done. This is an opportunity for the right candidate to go from end-to-end in the process, from recognizing a problem to implementing the solution, and integrating it with the business teams. You will lead your team to:

• Define the strategy for meeting the growing demand for AI within the company with AI models that are both accurate and widely adopted
• Identify and implement both AI and GenaAI use cases that create real, measurable value for groups like Sales, Marketing, Customer Outcomes, Professional Services, HR, and more
• Solicit requirements for AI models, including what data they will use and how the company will use them after they are built
• Define the variables and their structure, and extract the data from our data warehouse and/or guide specialists to do so
• Build predictive, recommendation, and/or LLM-based models that are accurate, robust, and informative in ways that help our business grow even faster
• Teach our business teams what the models do, what the results mean, and how they improve decision-making

Qualifications

In order to be successful in this role, we need someone who has:

• A degree in Data Science, Machine Learning, Statistics, or Artificial Intelligence
• A track record of delivering AI in an Enterprise setting, and extensive use of methods like: regression, decision trees, random forests, GBMs, Bayesian methods, neural networks/deep learning, support vector machines, recommendation engines, k-nearest neighbor, NLP, and/or LLMs
• Four or more years of experience in leading teams that build predictive models, define variables, perform variable selection, and measure/enhance model quality
• Ability to manage several projects simultaneously, helping to scope projects, driving stakeholder/end-user alignment, and fostering cross-functional collaboration
• Experience in model explainability, delivering model explanation/reason codes along with predictions and AI-based recommendations
• Preference given to candidates that have managed both GenAI and traditional AI teams

For positions in the Bay Area, we offer a base pay of $262,500 - $459,500, 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.

Additional Information

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.

Please Note: Fraudulent job postings/job scams are increasingly common. Click here to learn what to watch out for and how to protect yourself. All genuine ServiceNow job postings can be found through the ServiceNow Careers site.

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