Staff Full-Stack Engineer, Experience Team

ServiceNow•San Diego, CA

1d•$149,800 - $262,200•Hybrid

About The Position

This role is part of our Experience Team (UX/UI). ServiceNow is transforming how enterprise knowledge is created, delivered, and consumed. We’re moving from a world where large teams of writers produce content manually to one where AI-powered, agentic systems generate, classify, and deliver the right knowledge to the right person at the right moment — across millions of users worldwide. This role sits at the center of that transformation. You will design and build the engineering infrastructure that makes agentic content creation possible at scale: automation pipelines, AI tooling, LLM integrations, and the systems that connect ServiceNow’s knowledge platforms into a unified, intelligent content engine.

Requirements

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.
6+ years of experience with Java or a similar OO language
Passion for JavaScript and the Web as a platform, reusability, and componentization
Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations
Experience with any of the modern UI frameworks like Angular, React or Vue
Analytical and design skills
Ability to manage projects with material technical risk at a team level
Hands-on experience with LLM APIs (Anthropic, OpenAI, or similar), agentic workflow design, or prompt engineering at scale.
Familiarity with MCP (Model Context Protocol) server architecture or AI agent orchestration frameworks.
Experience with content automation, structured content systems (e.g. DITA), or knowledge graph infrastructure.
Background in SaaS or enterprise technology environments.
Experience working with open source tooling ecosystems and developer workflow infrastructure.

Nice To Haves

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.
7+ years of software engineering experience with a strong background in systems development, backend engineering, or platform infrastructure.
Demonstrated experience building production-grade automation pipelines, workflow systems, or AI-powered tooling.
Proficiency in Python and/or JavaScript/Node.js; comfort designing across the full stack.
Experience integrating with APIs, content platforms, knowledge management systems, or enterprise data systems.
Ability to operate with high autonomy — defining scope, setting direction, and delivering end-to-end without a fully paved path.
Strong communication skills with the ability to engage technical and non-technical stakeholders equally well.

Responsibilities

Architect and build automation pipelines that replace high-volume, repeatable content tasks — shifting the team from manual production to AI-native delivery.
Design and develop LLM-powered tooling that enables agentic content creation workflows, including prompt libraries, evaluation frameworks, and orchestration systems.
Build and maintain integrations across ServiceNow’s content platforms, knowledge management systems, and AI services — creating the infrastructure for a unified knowledge engine.
Develop MCP server configurations and agentic workflow tooling that extend AI capabilities directly into writer and engineer workflows.
Partner with Digital Technology, UX Design and UX Research teams to connect content systems to the broader ServiceNow platform ecosystem, including search, taxonomy, and digital experience surfaces.
Contribute to engineering standards and architectural patterns that scale AI tooling across the team and organization.