Senior Director of AI & Data Science Management, ServiceNow

$262.5-459.5k

Plus equity (when applicable) & Variable/incentive compensation

Senior and Expert level
San Francisco Bay Area

Office located in Santa Clara, CA

ServiceNow

Cloud-based digital workflows for enterprises

Open for applications

ServiceNow

Cloud-based digital workflows for enterprises

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSCloud Computing

Open for applications

$262.5-459.5k

Plus equity (when applicable) & Variable/incentive compensation

Senior and Expert level
San Francisco Bay Area

Office located in Santa Clara, CA

1001+ employees

B2BEnterpriseInternal toolsProductivitySaaSCloud Computing

Company mission

To transform IT to revolutionise the enterprise.

Role

Who you are

  • 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

What the job involves

  • 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
  • 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

Our take

ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations, transforming old, manual ways of working into modern digital workflows. The company was founded in 2004 with a vision to build a cloud-based platform that would enable regular people to route work effectively through the enterprise.

Much as Salesforce enables a company to manage its external clients by keeping a record of all contacts and interactions, ServiceNow promises an internal system to meet the needs of employees. It has succeeded in claiming half the market, setting itself apart from legacy IT service-management software players like BMC Software, Hewlett Packard Enterprise, Cherwell Software and CA Technologies.

The company's success comes from two product traits: simplicity and customisability. ServiceNow's IT tools don't require the IT department to set them up. Once running, they offer a single collection centre for requests, data points and checklists, all of which can in turn be analysed by algorithms to predict needs, flag concerns and measure efficiency.

The company has more than 7500 customers, including 80% of the Fortune 500 list of the United States' largest corporations. ServiceNow now looks to increase its revenue threefold in upcoming years and has entered into a 5-year partnership plan with Visa, beginning with the launch of a Visa-integrated dispute resolution solution for issuers. The company is prioritising organic growth over mergers and acquisitions, with a target revenue of $15 billion, something which its Visa partnership will no doubt aid in achieving.

Freddie headshot

Freddie

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

16% employee growth in 12 months

Company

Funding (last 2 of 6 rounds)

Mar 2012

$11m

GROWTH EQUITY VC

Feb 2012

$17.9m

GROWTH EQUITY VC

Total funding: $83.8m

Company benefits

  • Commuter benefits
  • Annual learning stipends
  • Work from home opportunities
  • Generous family leave
  • Matched donations
  • Flexible PTO
  • 401(k) matching
  • Paid volunteer time

Company values

  • Win as a team
  • Innovate and execute
  • Stay hungry and humble
  • Deliver customer success

Company HQ

Santa Clara, CA

Leadership

Fred Luddy

(Chairman Of The Board)

Previously Software Developer at Amdahl Corporation for 4 years and CTO at Peregrine Systems for 13 years.

Salary benchmarks

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Diversity & Inclusion at ServiceNow

  • Enabling and empowering our people: We use rich learning programmes to equip employees with inclusive mindsets and skills, and we build equitable processes across our entire talent ecosystem
  • Engaging our communities and allies: We make space to listen, share openly and engage in respectful dialogue. We extend into our communities through civic engagement, digital literacy and non‑profit support
  • Building diverse talent and hiring inclusively: We grow stronger together by developing and advancing individual talent and by improving representation at all levels.

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