ServiceNow Logo

ServiceNow

Principal Software Engineer

Posted An Hour Ago
Be an Early Applicant
Hybrid
Santa Clara, CA, USA
221K-387K Annually
Expert/Leader
Hybrid
Santa Clara, CA, USA
221K-387K Annually
Expert/Leader
Own the end-to-end architecture of ServiceNow’s entitlement, usage metering, overage, and billing platform. Define technical vision, data models, integration contracts, and reliability standards for distributed systems processing high-volume usage and AI-driven consumption. Lead cross-team architecture decisions, production incident resolution, and technical strategy while partnering with Product, Finance, Sales Operations, and Engineering leadership. Mentor senior engineers and contribute hands-on to critical components.
The summary above was generated by AI
Company Description

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, ServiceNow is the AI control tower for business reinvention. Our ServiceNow 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.

 

Job Description

About the Team

We are looking for an experienced Principal Software Engineer to own the end-to-end architecture of the platform that manages how our customers are licensed, metered, and billed for their subscriptions. This platform is the system of record for customer entitlements, usage measurement, overage calculation, and invoicing across the customer lifecycle — spanning finance, sales, engineering, and customer-facing experience. 

At our scale, this is fundamentally a distributed systems problem: metering usage in real time across an evolving catalog of consumption-based and subscription pricing models, with strict requirements for accuracy, auditability, and low-latency processing. You will be the technical anchor ensuring these systems, owned across many interconnected teams, work coherently as one platform.

What you get to do in this role:

  • Define and drive the technical vision and end-to-end architecture for the entitlement, usage metering, overage, and billing platform
  • Define and maintain the data model and integration contracts across finance, sales/CRM, engineering, and customer-facing portals — and resolve cross-system risks such as data consistency, latency, and ownership gaps before they surface as production or billing issues
  • Design for correctness under business-calendar constraints — billing cycles, dispute SLAs, and reconciliation windows
  • Own production reliability for the platform — participate in on-call, guide root-cause analysis, and resolve systemic issues rather than applying one-off patches
  • Shape billing and metering strategy for AI-driven products — including token-based consumption, agentic workflows, and MCP-based agent actions
  • Guide teams through complex technical decisions and design reviews, establishing architecture standards for changes that touch the shared platform, and mentor senior/staff engineers on system design and cross-team tradeoffs
  • Partner with Product, Finance, Sales Operations, and Engineering leadership to align platform roadmap with business needs 

Qualifications

To be successful in this role you have:

  • 12+ years of engineering experience (or equivalent depth), with significant time in distributed systems architecture
  • Solid backend development experience in Java, Python, Go or equivalent, used in production at scale.
  • Domain expertise in billing, licensing, or metering systems, with working knowledge of how these translate across finance, sales, and engineering
  • Excellent fundamentals in distributed systems — consistency, fault tolerance, idempotency, exactly-once processing, and stream/batch data pipelines, including high-volume telemetry and event ingestion
  • Solid fundamentals in databases and data modelling — schema design, performance tuning, and trade-offs across OLTP/OLAP stores
  • Working knowledge of Kubernetes and container orchestration — deployment topologies, scaling and resource management, and operating stateful services in production
  • Proven experience architecting systems that span multiple teams/orgs with independent ownership boundaries
  • Proven experience architecting systems that span multiple teams/orgs with clearly defined ownership boundaries
  • Excellent hands-on engineering ability — comfortable prototyping, validating architectural decisions through code, and contributing directly on critical-path components
  • Ability to operate as a Principal IC by leading through technical credibility, collaboration, and influence rather than formal authority

 Nice to Have

  • Experience with enterprise SaaS licensing or subscription-management platforms
  • Experience with usage-based billing integrations
  • Experience designing or evolving pricing/metering models for AI, agentic, or MCP-based products
  • Familiarity with M&A technical integration — bringing acquired products' usage/billing data into an existing platform

 

For positions in this location, we offer a base pay of $221,200 - $387,100, 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, religion, sex, sexual orientation, national origin, age, disability, gender identity,  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. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

HQ

ServiceNow Santa Clara, California, USA Office

2225 Lawson Lane, Santa Clara, CA, United States, 95054

ServiceNow Pleasanton, California, USA Office

4305 Hacienda Drive, Suite 200, Pleasanton, CA, United States, 94588

ServiceNow San Francisco, California, USA Office

101 Green Street, San Francisco, CA, United States, 94111

Similar Jobs at ServiceNow

An Hour Ago
Hybrid
Santa Clara, CA, USA
221K-387K Annually
Expert/Leader
221K-387K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design and implement AI-native security features and frameworks, write high-quality Java and JavaScript code, and guide application teams on secure implementations and AI usage. The role involves architecture, performance, scalability, maintainability, technical communication, and collaboration with design and platform teams. The engineer will mentor software engineers, influence security standards, and deliver robust security capabilities on aggressive deadlines.
Top Skills: Artificial IntelligenceJavaJavaScriptSecurity Frameworks
Yesterday
Hybrid
Santa Clara, CA, USA
221K-387K Annually
Expert/Leader
221K-387K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead technical strategy and architecture for developer platforms and AI-powered engineering productivity solutions. Design scalable platform services, guide automated testing and application lifecycle management capabilities, evaluate emerging technologies, and influence architecture across engineering teams. Build prototypes, address scalability, reliability, observability, security, and performance challenges, collaborate with Product and Design, establish engineering standards, and mentor senior engineers.
Top Skills: Agentic SystemsAIApplication Lifecycle ManagementAutomated TestingCi/CdCloud-Native ApplicationsDistributed SystemsEnterprise SaasFault ToleranceJavaObservabilityPlatform Engineering
11 Days Ago
Hybrid
Santa Clara, CA, USA
221K-387K Annually
Expert/Leader
221K-387K Annually
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Define the technical vision and architecture for AI-native cybersecurity solutions using LLMs, agentic AI, retrieval systems, and modern machine learning. Lead scalable distributed-system design, establish engineering standards, partner with product and security stakeholders, and connect innovation to customer outcomes. Champion AI-native development practices, represent technical strategy to executives and customers, mentor senior engineers, and lead cross-functional initiatives without direct authority.
Top Skills: Agentic AiAi ObservabilityAPIsClaude CodeCloud-Native PlatformsCodexCursorDevOpsDistributed SystemsEmbeddingsFoundation ModelsGoJavaKnowledge RetrievalKubernetesLlmsMicroservicesModel EvaluationPythonRetrieval-Augmented GenerationVector TechnologiesWindsurf

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account