408,526open jobs
14,178companies
72,784added this week
Browse all
Salary
$279k – $488k per year
Location
In office (Santa Clara)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
ServiceNow is an American enterprise software company founded in 2004 by Fred Luddy and headquartered in Santa Clara, California. It began by replacing clumsy IT ticketing systems with a configurable workflow platform, then extended the same engine across employee, customer, security, risk and supply chain processes, so a single system routes work between people and systems across departments. Listed on the New York Stock Exchange, the company now builds AI agents into every workflow through its Now Assist and AI Platform products, and it counts most of the Fortune 500 among its customers.

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.

What you get to do in this role:

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.

To be successful in this role you have:

  • 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.

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.

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, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In 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 [email protected] 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.

From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
408,526 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Similar stack
Same company
Santa Clara
$36k – $121k per year (Estimated) • In office • Full-Time • 3+ years exp • Stockholm
Python
SQL
TypeScript
AI/ML
AI Agents
DevOps
Platform Engineering
Apply
$125k – $165k per year • In office • 5+ years exp • Bachelor's Degree • Chicago
PowerShell
DevOps
Azure
Kubernetes
Platform Engineering
SLI/SLO/SLA
Terraform
VMWare
Windows Server
Apply
$115k – $245k per year (Estimated) • In office • Bachelor's Degree • London
DevOps
Configuration Management
Management
ServiceNow
Apply
$232k – $306k per year • In office • New York
AI/ML
AI Agents
EU AI Act
Cybersecurity
GDPR
Apply
$115k – $185k per year • Remote • Bachelor's Degree
Python
SQL
Databases
BigQuery
Google BigQuery
PostgreSQL
Redis
Snowflake
AI/ML
AI Agents
DevOps
CI/CD
Datadog
GCP
GitLab
GitLab CI
Google GKE
Terraform
Kubernetes
Apply
$221k – $387k per year • Equity • In office • Full-Time • 10+ years exp • Bachelor's Degree • Santa Clara
DevOps
Incident Management
Management
ServiceNow
Apply
$150k – $262k per year • Equity • In office • Full-Time • 7+ years exp • San Diego
JavaScript
Node JS
Python
TypeScript
AI/ML
Agentic Workflows
AI Agents
Anthropic
Knowledge Graph
LLM
Model Context Protocol
OpenAI
Prompt Engineering
Frontend
Angular
React.js
Vue.js
Management
ServiceNow
Apply
$129k – $219k per year • Equity • In office • Full-Time • 5+ years exp • Chicago
Management
ServiceNow
Apply
$167k – $299k per year (Estimated) • In office • Full-Time • 7+ years exp • Orlando
Management
ServiceNow
Apply
$181k – $317k per year • Equity • In office • Full-Time • 10+ years exp • San Diego
AI/ML
AI Agents
DevOps
AWS
Azure
CI/CD
GCP
GitOps
IAM
Kubernetes
Management
ServiceNow
Apply
$221k – $387k per year • Equity • In office • Full-Time • 10+ years exp • Bachelor's Degree • Santa Clara
DevOps
Incident Management
Management
ServiceNow
Apply
$56k – $94k per year • In office • Contractor • Santa Clara
Apply
$64k – $74k per year • In office • Contractor • Santa Clara
Apply
$56k per year • In office • Contractor • Santa Clara
Apply
$84k – $94k per year • In office • Contractor • Santa Clara
Apply
See all jobs
This is one of many
408,526 more open roles from verified company boards, updated every day.