Senior Engineering Manager, Agentic & Generative AI Benchmarking and Evaluations

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

The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.

Job Description

We are seeking an exceptional, data-driven Senior Engineering Manager, Agentic & GenAI Benchmarking and Evaluations to establish and lead AI evaluation practices for both ServiceNow and our customers. As ServiceNow shifts enterprise workflows from simple generation to complex, autonomous agents, ensuring system reliability, safety, and accuracy is paramount.

In this role, you will lead a specialized team of AI evaluation engineers and data scientists. Your team will build the infrastructure, rigorous validation frameworks, and benchmarks that quantify the performance of Now Assist agentic workflows across multi-step orchestration, tool-calling, and enterprise-grounded reasoning. You will bridge the gap between frontier AI research and hard production metrics, directly impacting the trust and adoption of autonomous workflows for millions of enterprise users.

What You Get To Do In This Role

• Build the Evaluation Infrastructure: Design, own, and scale automated testing and evaluation harnesses (unit evals, integration evals, and production drift monitors) to measure agent quality and eliminate regressions.