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Manager, Machine Learning Engrg Mgmt at ServiceNow

RoleMachine Learning
LevelManager
LocationToronto
WorkOn-site
TypeFull-time
Posted1 day ago
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About the role

PLATO (Platform Engineering and AI Technology Organization) at Service Now is a customer-focused innovative group building intelligent software using a variety of technology stacks to enable end-to-end, industry-leading work experiences for our customers. We are a group of people deeply invested in the success of our customers that happen to have expertise and knowledge in advanced technologies and software engineering best practices. We are data driven, structured, committed and we enjoy what we are doing. We prioritize robustness, performance and user experience over the technology stack and tools.

We are a group of technology professionals and platform engineers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

As a Manager, Machine Learning Engineer:

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.
  • Creating and maintaining large-scale data processing pipelines that ensure that data is processed accurately, efficiently, and securely

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
  • 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

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

Service Now 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), Service Now may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon Service Now obtaining any export license or other approval that may be required by relevant export control authorities.

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license. .

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, Service Now is the AI control tower for business reinvention. Our Service Now AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Required skills

Machine learning

Engineering management

AI platform development

Software engineering

Cross-functional leadership

Customer focus

Scalable systems

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About ServiceNow

ServiceNow

ServiceNow, Inc. is an American software company that supplies a cloud computing platform for the creation and management of automated business workflows. The company was founded in Santa Clara, California, United States, in 2003 by Fred Luddy.

10,001+

Employees

Santa Clara

Headquarters

$150B

Valuation

Reviews

10 reviews

3.8

10 reviews

Work-life balance

2.8

Compensation

3.7

Culture

4.1

Career

3.4

Management

3.2

72%

Recommend to a friend

Pros

Supportive and collaborative team environment

Good training and development opportunities

Flexible work arrangements

Cons

Work-life balance challenges and heavy workload

Fast-paced and stressful work environment

Management and communication issues

Salary Ranges

59 data points

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Informatics Analyst

1 reports

$87,176

total per year

Base

$67,059

Stock

-

Bonus

-

$87,176

$87,176

Interview experience

6 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer rate

17%

Interview process

1

Application Review

2

Recruiter Screen

3

Behavioral Interview

4

Technical Interview

5

Final Round

6

Offer

Common questions

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience