About Zscaler
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an AI-forward enterprise, we are constantly pushing the envelope, leveraging the world’s largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, impact in your role matters more than title and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value constructive, honest debate—we’re focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on customer obsession, collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you’re enabled to do your best work and embrace your potential. If you’re driven by purpose, thrive on solving complex challenges, and want to be part of the team that’s helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
Role
We are looking for a Senior Manager, Enterprisewide Systems Programming - ServiceNow to join our team. This is a hybrid (San Jose, CA) or remote role, reporting to the Director, IT Applications in the IT Corporate Apps department. In this position, you will lead the architecture, engineering excellence, and team development for our ServiceNow ecosystem while defining and executing the strategy to adopt cutting-edge AI capabilities that drive operational efficiency.
What you’ll do (Role Expectations)
- Establish and enforce strict out-of-the-box design standards, reusable integration patterns, and platform guardrails to minimize technical debt and ensure zero-disruption platform upgrades
- Define and execute the strategy for adopting modern ServiceNow AI capabilities—including Now Assist, Generative AI, and AI Agents—to automate business processes and reduce operational overhead
- Drive a high-velocity development model utilizing Agile practices, rapid prototyping, and iterative sprint cycles to translate business strategy into fast MVP releases
- Build, direct, and mentor a high-performing team of ServiceNow developers, technical leads, and architects, fostering a culture of continuous learning and accountability
- Modernize engineering practices by expanding Automated Test Framework coverage, establishing CI/CD deployment pipelines, and standardizing source control governance
Who You Are (Success Profile)
- You act like an owner, operating with high integrity and navigating seamlessly between high-level strategy and hands-on execution.
- You are a problem-solver who is energized by complex challenges and focused on delivering high-impact solutions.
- You are a high-trust collaborator who fosters team ambition and embraces constructive feedback with clarity and respect.
- You are customer-obsessed, anchoring your decisions in solving real-world problems for internal and external partners.
- You are resilient and adaptable, navigating change with composure and guiding your team through complexity with a steady hand.
What We’re Looking for (Minimum Qualifications)
- Drive the evaluation, deployment, and scaling of ServiceNow AI capabilities, including Now Assist, AI Agents, Virtual Agent, and predictive workflows
- 10+ years of hands-on ServiceNow architecture and development experience, with deep proficiency in JavaScript, APIs, IntegrationHub, and core platform suites
- 3+ years managing direct reports, including developers, architects, and QA engineers, with a proven track record of establishing engineering quality standards
- Demonstrated experience driving modern engineering practices such as source control, CI/CD pipelines, automated testing, and developer productivity standards
- Strong stakeholder management skills with a bias toward action, translating business strategy into rapid MVP releases while managing technical debt
What Will Make You Stand Out (Preferred Qualifications)
- Deep expertise in designing modular, scalable systems while favoring out-of-the-box functionality over custom code to ensure seamless platform upgrades
- Proven ability to accelerate release velocity using Agile methodologies, automated testing frameworks, and CI/CD pipelines
- Hands-on experience or clear architectural strategy for implementing ServiceNow Now Assist, LLM integrations, AI Agents, or intelligent workflow automation
#LI-DY1 #ServiceNowLead
Zscaler’s salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.
The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
- Various health plans
- Time off plans for vacation and sick time
- Parental leave options
- Retirement options
- Education reimbursement
- In-office perks, and more!
Learn more about Zscaler's hybrid working model and benefits here.
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link.
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.
Zscaler San Jose, California, USA Office
Zscaler San Jose Headquarters Office
120 Holger Way, San Jose, CA, United States, 95134
Similar Jobs at Zscaler
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
