Staff Data Engineer

• Design & Architect Data Infrastructure Design and oversee deployment of data architecture and pipelines to capture manage and store structured and unstructured data from internal and external sources; establish processes and data flows using cloud local databases and applicable storage forms
• Build & Automate Data Transformation Develop technical tools using ML and data-engineering techniques to cleanse organize and transform data; implement automated processes to maintain data structure integrity and quality standards on an ongoing basis
• Define Agentic Evaluation Metrics & Ground Truth Partner with product and AI teams to define evaluation metrics for agentic workflows (task completeness tool use workflow success); establish ground truth labeling standards and validation criteria; design evaluation datasets that reflect real-world agent execution
• Build Agentic Evaluation Pipelines Design and implement automated evaluation infrastructure that measures AI agent performance using Now LLM Service models and execution logs; create dashboards reporting versioning and reproducibility of evaluation datasets and results
• Establish Standards & Continuous Improvement Create design standards and quality assurance processes for data systems; define quality gates and validation frameworks; analyze workflow performance and recommend optimizations to accommodate evolving CRM AI requirements
• Lead Cross-Functional Collaboration Collaborate with product engineering and data science teams; mentor junior engineers on data engineering and evaluation design; generalize evaluation patterns and metrics across Agentic AI products

Qualifications :

• 9 years designing and building production data pipelines data warehousing ETL/ELT systems; strong expertise in SQL Python Javascript or equivalent and distributed data processing
• 3 years working on ML systems model validation infrastructure automated testing or AI-powered applications; hands-on experience with data quality feature engineering and model monitoring
• Proven track record deploying monitoring and maintaining large-scale data systems in production; experience troubleshooting data quality issues latency and system reliability
• Ability to design scalable secure data architectures; experience with cloud platforms (GCP AWS) APIs event-driven systems and data governance patterns
• Familiarity with AI/ML evaluation frameworks LLM-based systems or agentic workflows; ability to instrument and evaluate complex AI systems; understanding of model performance tracking.
• Comfortable driving technical conversations across multiple teams; takes end-to-end ownership; works autonomously; mentors peers on data engineering standards and best practices
• Experience on ServiceNow platform is good to have.

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 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 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. 

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Remote Work :

No

Employment Type :

Full-time