Staff Software Engineer
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Key skills for this role
Role Overview
Staff Software Engineer role embedded in ServiceNow’s Workplace engineering team within CRM and Industry Workflows.
The role owns architecture and technical design for Workplace Service Delivery, employee and customer self-service, fulfilment workflows, and CRM integration layers.
The position has an AI-native mandate focused on precise specifications, agent orchestration, verification, and production reliability.
Key Skills for This Role
Full Job Posting
Role overview
Staff Software Engineer role embedded in ServiceNow’s Workplace engineering team within CRM and Industry Workflows.
The role owns architecture and technical design for Workplace Service Delivery, employee and customer self-service, fulfilment workflows, and CRM integration layers.
The position has an AI-native mandate focused on precise specifications, agent orchestration, verification, and production reliability.
Core responsibilities
- Translate product and business problems into structured, testable specifications with scope, interfaces, constraints, non-goals, and acceptance criteria.
- Drive scalable, performant, and reliable architecture for Workplace Service Delivery and multi-tenant enterprise deployments.
- Direct AI coding agents, maintain their context, and decide when to delegate work versus implement directly.
- Design automated tests, evaluation suites, CI/CD quality gates, guardrails, and least-privilege execution environments.
- Evaluate software for correctness, security, performance, maintainability, and specification adherence.
- Monitor production AI for hallucinations, drift, safety regressions, and other deviations from intended behavior.
- Mentor senior and lead engineers and improve the team’s AI-native engineering practices.
Experience requirements
- 10+ years designing and building scalable, reusable enterprise software products and components.
- Production experience with AI-native methods, agentic coding tools, AI-assisted workflows, or autonomous agent architectures.
- Proficiency with agent planning, tool invocation, memory management, execution policies, multi-agent collaboration, and context engineering.
- Experience building verification harnesses, evaluation frameworks, continuous evaluation pipelines, drift detection, and CI/CD quality gates.
- Strong technical depth in data structures, algorithms, system design, testing, data modeling, and modern software development.
- Working knowledge of AI-integrated system risks including prompt injection, data leakage, tool governance, model abuse, and least-privilege controls.
- Strong communication and cross-functional collaboration skills.
Technical skills
- AI/ML fundamentals including model training and evaluation, embeddings, and probabilistic LLM failure modes.
- Preferred experience includes ServiceNow platform architecture, Glide APIs, multi-tenant SaaS, workplace operations, CRM, ITSM, and field-service integrations.
- Preferred integration experience includes REST, eventing, and data federation.
Additional qualifications
- The qualifications section states that the role typically requires at least 8 years of related experience with a Bachelor’s degree, 6 years with a Master’s degree, or a PhD with 3 years of experience, or equivalent experience.
- The role determines methods and procedures on new assignments, applies judgment to complex problems, leads cross-department projects, and may coordinate other personnel.
Work personas
- ServiceNow describes flexible, remote, and required-in-office work personas, but the specific workplace arrangement for this role is not stated.
About ServiceNow
ServiceNow provides an AI platform connecting AI, data, and workflows for enterprise customers.
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