ServiceNow Logo

ServiceNow

Sr Staff Software Engineer

Posted 3 Hours Ago
Be an Early Applicant
Hybrid
Hyderabad, Telangana
Senior level
Hybrid
Hyderabad, Telangana
Senior level
Provides technical direction for AI-native products, leading architecture and delivery of complex platform features. Builds LLM-integrated workflows, agentic systems, prompt and context strategies, evaluation pipelines, and governance controls. Establishes AI-assisted development practices, mentors engineers, partners across product and UX, and owns production quality, observability, release readiness, and defect triage for enterprise SaaS capabilities.
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

The Adoption Services team builds and quality-assures a connected suite of in-product experiences designed to help customers learn, adopt, and use the platform successfully. By embedding targeted assistance directly into the workflow, these capabilities accelerate time-to-productivity, simplify complex onboarding, improve feature discovery, and reduce support dependency.
 
The core portfolio features a reorganized structure starting with 
Dynamic Guidance which provides conversational, voice-based AI assistance equipped with consent controls, transcripts, pause/resume, multi-tab synchronization, and resilient connectivity. 
AI Native Help for AI-generated answers, contextual Q&A, term and widget popovers, page- and element-level nudges, auto-launch guidance, and secure role and domain controls. 
 Guided Tours offering accessible, localized, multi-page walkthroughs spanning Classic UI, custom pages, portals, workspaces, and AI experiences. 
Help Center delivers searchable, localized articles featuring rich media, role-targeted content, feedback loops, telemetry, contextual help, and AI-generated article support. 
Guided Setup  provides configurable single- and multi-run setup journeys, checklists, embedded activities, permissions, migration support, and domain-separated execution. 
What’s New  for release discovery via unread badges, feature cards, multimedia carousels, availability indicators, and personalized content, alongside 
Onboarding Modals for targeted multi-step announcements, interactive questionnaires, rich media, and configurable calls to action.
 
Beyond individual product features, the team is supported by critical platform and technical foundations. These include AI and content services that power AI-generated Help Center articles, global content delivery network (CDN) integration for scalable performance, and rigorous quality standards ensuring cross-browser compatibility, web accessibility, and multi-language localization. Additionally, the architecture enforces strict governance, security, and domain-separated execution while driving smooth platform upgrades, telemetry tracking, and the transition toward LUX (Next-Gen UX) frameworks.
 
Together, these capabilities deliver major business value and strategic outcomes by accelerating time-to-value, enhancing feature adoption, enabling self-service productivity, and significantly reducing support ticket volumes through proactive in-product assistance.
 

About the role 

We’re looking for a Sr Staff Software Engineer to set technical direction for a team building AI-native products . You’ll shape how we design, build, and operate systems where AI agents, LLM-driven workflows, and traditional platform engineering work together. This is a hands-on role with broad influence: you’ll make architectural calls, raise the engineering bar, and help the team move from AI-assisted development to AI-native delivery. 

What you get to do in the role: 

  • Lead the design and delivery of complex, cross-functional features across the platform, from architecture through production operations.
  • Build AI-native capabilities, including LLM-integrated workflows, agentic patterns, prompt and context design, and evaluation pipelines, with reliability and governance built in.
  • Define and drive how the team uses AI tools across the development lifecycle: code generation, test automation, review, triage, and documentation. Measure the impact and share what works.
  • Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage.
  • Partner with product, UX, and other engineering leads to turn ambiguous problems into scoped, shippable plans.
  • Own production quality for your area, including defect triage, release readiness, and gate reviews. 

Qualifications

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.
  • 12+ years of software engineering experience, with a track record of technical leadership at the staff level or equivalent.
  • Strong proficiency in Java, JavaScript, or another language relevant to the platform, plus solid system design skills.
  • Hands-on experience building or integrating LLM-based features: prompt design, retrieval or context management, evaluation, and cost/latency tradeoffs.
  • Working knowledge of agentic architectures, including tool use, orchestration, and human-in-the-loop controls.
  • Experience using AI-assisted development tools in daily work, with an opinion on where they help and where they don’t.
  • Clear written and verbal communication, including the ability to brief senior leaders and align multiple teams.
  • Familiarity with enterprise SaaS, multi-tenant systems, and secure, compliant software delivery. 

Nice to have 

  • Customer-facing adoption work, not just implementation.
  • Easy to adopt to the AI tech stacks and tools such as LIT Framework, Temporal.

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

19 Hours Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead the design, development, and production operation of large-scale cloud-native platform components. Build Kubernetes operators, controllers, infrastructure automation, and platform services using Go. Drive technical strategy, reliability, scalability, observability, and operational excellence across managed and self-managed Kubernetes environments. Mentor engineers, lead complex initiatives, collaborate with senior architects, and support distributed, stateful workloads on public clouds.
Top Skills: AksAlertingAWSAzureCi/CdContainer NetworkingContainersCrossplaneCustom Resource DefinitionsEksEvent-Driven SystemsGCPGitopsGkeGoInfrastructure As CodeKubebuilderKubernetesKubernetes ControllersKubernetes OperatorsLoggingMetricsMicroservicesMonitoringMtlsObservabilityOperator FrameworkSecrets ManagementService MeshSlosTerraformTracingWorkload Identity
21 Hours Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Owns the AI architecture and technical standards for ServiceNow HR Service Delivery’s agentic and conversational capabilities. Responsibilities include designing orchestration and tool layers, enforcing safety and access boundaries, building evaluation and observability infrastructure, integrating LLMs and retrieval, directing AI-assisted engineering, leading incident resolution, and influencing cross-functional teams. The role requires hands-on software engineering, production AI integration, mentorship, and accountability for reliable, secure model-driven applications.
Top Skills: AclsAgent OrchestrationApi IntegrationAutomated Test FrameworkCi/CdContainerized WorkloadsEmbeddingsFlow DesignerJavaScriptLlm ApisNluNode.jsReactServicenow Now PlatformTool CallingUi Builder
Yesterday
Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design, build, and operate production-grade agentic AI systems for ServiceNow’s enterprise platform. Responsibilities include multi-agent orchestration, tool use, planning, memory, retrieval and grounding, model integration, evaluation, safety governance, observability, and failure recovery. The role requires ownership of scalable system and database architecture, technical leadership, architecture decisions, code reviews, mentoring, and stakeholder communication.
Top Skills: Anthropic SdkBuild And Release ManagementCmdbContinuous IntegrationGoogle Ai SdkHybrid SearchJavaScriptKnowledge GraphOpenai SdkPythonRagTypescriptVector StoresWorkflow Data Fabric

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