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VP, Product Mgmt- AI Application Development Platform

ServiceNow

VP, Product Mgmt- AI Application Development Platform

ServiceNow

Santa Clara

·

On-site

·

Full-time

·

1w ago

Compensation

$274,100 - $465,900

Benefits & Perks

Healthcare

401(k)

Equity

Flexible Hours

Parental Leave

Healthcare

401k

Equity

Flexible Hours

Parental Leave

Required Skills

Product Management

Leadership

Enterprise Software

Technical Architecture

SaaS/PaaS

AI

As Vice President of Product Management for the AI Application Development Platform within the Creator App Engine Business Unit—a strategic growth area in Service Now’s AI Platform group—you will play a critical role in shaping and driving product strategy, fostering innovation, and ensuring effective execution. In this capacity, you will empower Builders and Developers, known as "Creators," to build, manage, and deploy enterprise-grade AI applications and intelligent agents on the Service Now platform.

Your leadership will be vital in making advanced AI capabilities accessible to employees across all technical backgrounds for our customers and their employees. By championing an inclusive and innovative product portfolio offering, you will help accelerate business transformation and enable rapid innovation at scale throughout the organization, empowering every employee to automate their work.

What you get to do in this role:

  • Define and execute product strategy for the Creator persona of builders and developers, aligning with Service Now’s vision and growth objectives.
  • Lead, mentor, and develop a team of Product Management leaders.
  • Inspire and collaborate with cross-functional teams, including Design, Research, Engineering, and GTM Solutions, to deliver on the product roadmap.
  • Drive innovation by identifying market trends and new product opportunities.
  • Develop a deep understanding of customer needs to inform product requirements and drive adoption.
  • Manage and prioritize product backlogs, assess technical feasibility, and make strategic trade-offs including monetization levers.
  • Provide leadership and guidance to product teams, ensuring successful execution from strategy to delivery.
  • Collaborate closely with engineering partners to solve complex system interdependencies and build scalable solutions for both internal and customer-facing applications.

To be successful in this role you have:

  • 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.
  • 15+ years of experience in product management, including at least 8 years in leadership roles.
  • Strong understanding of enterprise software, technical architecture, developer products, and SaaS/PaaS platform monetization models.
  • Proven track record of managing, developing, and guiding high-performing teams.
  • Deep technical knowledge and experience working with engineering teams; prior individual contributor engineering roles are a plus.
  • Strong customer focus, with the ability to translate customer needs into product requirements and drive user adoption using analytical systems.
  • Excellent communication and presentation skills, with the ability to influence and build consensus across diverse teams and stakeholders.
  • Experience thriving in fast-paced, dynamic environments and adapting quickly to change.
  • Bachelor’s degree in computer science, engineering, or related discipline.

Preferred Skills & Experience

  • Experience in agent-driven innovations and enterprise-grade AI application development.
  • Demonstrated ability to lead product strategy and execution in large-scale, high-growth organizations.
  • Familiarity with vibe coding and low-code/no-code development experiences.
  • MBA will be a plus

For positions in this location, we offer a base pay of $274,100 - $465,900, 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 Service Now employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, Service Now may confirm the distance between your primary residence and the closest Service Now 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. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

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 — Service Now 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. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

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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

Reviews

3.9

25 reviews

Work Life Balance

3.2

Compensation

3.8

Culture

2.8

Career

3.5

Management

2.9

45%

Recommend to a Friend

Pros

Good compensation and benefits package

Learning opportunities and skill development

Work-life balance emphasis and flexible remote options

Cons

Toxic management and politics

Heavy bureaucracy and slow decision making

Layoffs and restructuring uncertainties

Salary Ranges

31 data points

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Staff/L6

VP

Director

Junior/L3 · Product Manager IC1

0 reports

$127,416

total / year

Base

-

Stock

-

Bonus

-

$108,303

$146,529

Interview Experience

11 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Offer Rate

45%

Experience

Positive 18%

Neutral 82%

Negative 0%

Interview Process

1

Application Review

2

Phone Screen/Online Assessment

3

Technical Interview

4

Behavioral Interview

5

Final Round/Panel Interview

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience