Senior Manager, Observability & Operations Data Platform at ServiceNow

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

328300.0

Posted On

26 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Real-Time Analytics, Anomaly Detection, Observability, Data Insights, AI Strategy, Agile Development, Team Management, AI Adoption, Java, Python, Streaming Engines, Database Types, Kubernetes, Interpersonal Skills, Communication Skills, Software Development

Industry

Software Development

Description

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. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description We are currently seeking a Sr. Manager to join our Observability and Operations Data Platform group. What you get to do in this role: Leading and growing a high-performing team focused on real-time analytics, anomaly detection, observability, and data insights Defining and owning the team’s AI strategy, ensuring the integration of AI across observability and operational workflows Fostering a culture of AI-first development, enabling engineers to leverage AI-driven tools and practices in day-to-day work Working in an Agile, collaborative environment with forward-thinking developers and quality engineers to deliver reliable, high-quality software Partnering with Product, SRE, and AI/ML teams to align roadmaps and deliver innovative solutions Mentoring and developing engineers and managers, with a strong focus on AI adoption, best practices, and continuous improvement Qualifications To be successful in this role you have: 10+ years of related experience with a bachelor’s degree; 8+ years with a master’s degree; or equivalent experience with technologies in Observability, Data Lake, and Big Data domains 6+ years of team management experience, including proficiency in providing feedback and driving strategies, policies, and plans 2+ years of proven experience leading AI-driven teams and shaping AI adoption strategies Experience integrating AI into workflows, decision-making, or problem-solving—this may include AI-powered tools, workflow automation, analyzing AI-driven insights, or evaluating AI’s impact on the business or industry Hands-on experience with AI productivity tools (e.g., Windsurf, Cursor, GitHub Copilot, ChatGPT) to improve efficiency and productivity Strong technical skills in streaming engines and multiple database types (time-series, key-value, and RDBMS); Java expertise required, Python experience a plus Proficiency in writing efficient, object-oriented, modular, and high-quality software, with knowledge of unit testing, profiling, and performance tuning Experience in the design and implementation of large, scalable environments; familiarity with Kubernetes-based applications is a plus Ability to thrive in a fast-paced environment with dynamic or ambiguous requirements, while maintaining focus on delivering high-quality outcomes Outstanding interpersonal and communication skills, both written and verbal GCS-23 For positions in this location, we offer a base pay of $187,600 - $328,300, 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. Additional Information 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 [email protected] 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.

Responsibilities

Lead and grow a high-performing team focused on real-time analytics and observability. Define and own the team’s AI strategy while fostering a culture of AI-first development.