Staff Data Engineer

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.  Role summaryThe Staff Data Engineer designs, builds, and operates the data foundation and the evaluation infrastructure behind ServiceNow CRM Agentic AI. The role has two halves that reinforce each other. The first is conventional but demanding data engineering: architecture, pipelines, and transformation across structured and unstructured sources, held to production standards of reliability and quality. The second is newer and rarer: building the measurement layer that tells product and AI teams whether an AI agent actually did its job.That second half changes the nature of the work. Agent behavior is probabilistic, so quality cannot be asserted, only measured—against metrics that have to be defined before they can be tracked, and against ground truth that someone has to establish and defend. This engineer defines those metrics with product and AI teams, sets the labeling and validation standards, builds the datasets that reflect how agents behave in the real world, and automates the pipelines and dashboards that turn agent execution logs into a signal the organization can act on.the Staff Data Engineer owns these decisions across a domain rather than within a single project. They set design standards and quality gates others adopt, mentor junior engineers, and generalize evaluation patterns so each Agentic AI team is not rebuilding measurement from scratch.What you do Design and architect data infrastructureDesign and oversee deployment of the data architecture and pipelines that capture, manage, and store structured and unstructured data from internal and external sources. Establish the processes and data flows across cloud services, local databases, and other applicable storage forms, and own the contracts between data producers and consumers.Build and automate data transformationDevelop technical tools using machine learning and data-engineering techniques to cleanse, organize, and transform data. Implement automated processes that maintain the integrity of data structures and hold quality standards on an ongoing basis rather than at a point in time.Define agentic evaluation metrics and ground truthPartner with product and AI teams to define evaluation metrics for agentic workflows, including task and mission completeness, instruction adherence, tool use, and end-to-end workflow success. Establi...