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Manager Machine Learning Engineering Management

Manager Machine Learning Engineering Management

ServiceNowSanta Clara, CA, United States
17 hours ago
Job type
  • Full-time
Job description

Overview

Company Description : 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. Join us as we pursue our purpose to make the world work better for everyone.

What you get to do in this role

You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI / ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.

  • Build the best cloud-based AI / ML solutions to power intelligent enterprise services
  • Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
  • Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users

Qualifications

To be successful in this role you have :

  • A minimum of 1-2 years of management experience, proficiency in providing feedback to work group strategies, policies and plans
  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
  • Deep understanding of Deep Learning concepts and Transformer architecture
  • Understanding of model training / fine-tuning techniques
  • Expertise in Java or Python, OOP, Design Patterns, time and space-efficient algorithms
  • Experience building new products that use challenging algorithms
  • Expertise in coding efficient, object-oriented, modularized and quality software
  • Knowledge of core AI / ML techniques and algorithms
  • Knowledge of unit testing, profiling, and code tuning
  • Compensation and Benefits

    For positions in this location, we offer a base pay of $173,100 - $303,000, 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. 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.

    From Fortune. 2025 Fortune Media IP Limited. All rights reserved. Used under license.

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