Staff Technical Product Manager – AI Evaluation

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

We are looking for a highly technical, strategic, and outcome-oriented Staff Technical Product Manager to establish and scale AI Evaluation as a core engineering capability across the DT organization. The Eval Technical Product Manager will lead this transformation by making trusted Evals the evidence layer for AI.

This is a dual-role position with responsibility for both:

- Platform Eval Strategy & Adoption

Partner closely with Servicenow AI platform and product teams to understand, implement, validate, and drive adoption of out-of-the-box Evals, while influencing the platform roadmap based on enterprise needs.

- Enterprise Eval Innovation

Identify gaps in platform evaluation capabilities and drive the definition and development of custom Evals, metrics, rubrics, datasets, and evaluation strategies for enterprise-specific AI applications and agentic workflows. The role will establish Eval-Driven Development as a standard engineering practice—moving AI quality from point-in-time testing to continuous measurement throughout the AI lifecycle

- Custom Eval Innovation

- Identify gaps where OOTB Evals don't adequately measure enterprise AI quality.

- Define and drive custom metrics, rubrics, datasets and evaluation strategies.

- Develop reusable Evals for domain-specific behaviors and business outcomes.

- Establish evaluation approaches for AI agents, task completion, tool usage and multi-step workflows.

- Eval-Driven Development