Senior Director - AI Evaluation Platform

ServiceNow
Santa Clara, United States of America
10 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior
Compensation
$ 279K

Job location

Remote
Santa Clara, United States of America

Tech stack

Artificial Intelligence
Machine Learning
TensorFlow
AI Infrastructure
Application Enhancement Tool
PyTorch
Large Language Models
Deep Learning
Information Technology
REST
ServiceNow

Job description

The CoreAI team, part of the Platform and AI organization, is focused on building the evaluation infrastructure and frameworks that ensure the quality, reliability, and safety of AI capabilities across ServiceNow's platform. Our evaluation systems power the quality assurance behind ServiceNow's GenAI offerings, enabling our customers to trust the AI capabilities they depend on.

As a Senior Director, AI Evaluation Platform, you will lead the teams responsible for building and scaling ServiceNow's evaluation platform - both internal-facing (used by research and engineering teams) and customer-facing (enabling customers to assess and monitor AI quality in their environments). Your leadership will be critical in establishing rigorous, scalable evaluation methodologies that raise the bar for AI quality across the industry.

This is a fast-growing, high-impact role where you will:

  • Lead and scale a team of talented researchers, applied researchers, and evaluation engineers building next-generation AI evaluation infrastructure.
  • Define the strategy and roadmap for the evaluation platform, encompassing benchmark design, automated scoring pipelines, verifier systems, and quality monitoring frameworks for both internal and customer-facing use cases.
  • Drive innovation in evaluation methodologies, including developing new approaches for agentic evaluation, multi-turn assessment, domain-specific benchmarking, and confidence calibration.
  • Design and implement a comprehensive verifier stack spanning LLM-as-judge, rule-based, reference-based, and process verifiers to enable robust, multi-signal evaluation across diverse AI capabilities.
  • Architect and deliver a unified evaluation platform that serves internal model development teams and external customers, with robust APIs, dashboards, and reporting capabilities.
  • Collaborate with cross-functional teams across product, engineering, and research to translate business needs into evaluation requirements and deliver impactful quality assurance solutions.
  • Stay ahead of the curve by researching and implementing the latest advancements in AI evaluation, including novel verifier architectures, safety and alignment evaluation, and emerging evaluation standards., 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.

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.
  • Extensive experience in leading and managing high-performing AI or platform engineering teams, with a focus on evaluation, quality assurance, or testing infrastructure at scale.
  • Deep technical expertise in AI evaluation methodologies, including benchmarking frameworks, automated scoring systems, verifier design (LLM-as-judge, rule-based, reference-based, process verifiers), and statistical methods for assessing model quality, safety, and reliability.
  • Proven track record of building and operating production-level evaluation platforms or AI infrastructure at scale.
  • Strong leadership and management skills with the ability to inspire and grow a world-class team, with extensive experience managing large organizations of 50 or more engineers and researchers.
  • Excellent communication and collaboration skills to work effectively with stakeholders at all levels, from technical teams to senior executives.
  • Hands-on experience with major deep learning frameworks like PyTorch or TensorFlow and familiarity with evaluation tooling ecosystems.
  • A Ph.D. or Master's degree in Computer Science, Machine Learning, or a related field is a plus.

Benefits & conditions

For positions in this location, we offer a base pay of $279,100 - $488,400, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

About the company

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.

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