[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All ServiceNow jobs](https://jobs.opennash.com/companies/servicenow/) · [Search jobs](/search/) ServiceNow · Santa Clara, CA # Senior Director - AI Evaluation Platform Santa Clara, CALIFORNIA, United States Full-time Director $279,100 - $488,400 Executive & Management Listed on ServiceNow’s official careers site. Posted July 8, 2026. Check that it is still open and apply there. [Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000136531576-senior-director-ai-evaluation-platform) [OpenNash Jobs](https://jobs.opennash.com/) / [ServiceNow](https://jobs.opennash.com/companies/servicenow/) / Senior Director - AI Evaluation Platform ## Job description ### 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. ## Qualifications 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. ## At a glance - Posted by the employer: Jul 8, 2026 - First seen by OpenNash: Jul 10, 2026 - Last checked: Oct 17, 2026 - Listed for: 101 days - Location: Santa Clara, CALIFORNIA, United States - Employment type: Full-time - Pay: $279,100 - $488,400[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000136531576-senior-director-ai-evaluation-platform) ## More jobs at ServiceNow ### [AI Engineering - Assoc Software Engineer Internships - Summer 2027 (Bachelors)](https://jobs.opennash.com/companies/servicenow/jobs/a0b97b7c533bcb807e1e/) Santa Clara, CALIFORNIA, United States ### [AI Engineering - Software Engineer Internships - Summer 2027 (Masters)](https://jobs.opennash.com/companies/servicenow/jobs/dbe83dd1ff94d2aa96b6/) Santa Clara, CALIFORNIA, United States ### [Assoc Applications Dev Engineer](https://jobs.opennash.com/companies/servicenow/jobs/a700f96632a0de2688a1/) Santa Clara, CALIFORNIA, United States ### [Data Platform Software Engineer](https://jobs.opennash.com/companies/servicenow/jobs/477b24f1b3f9a131a2df/) Santa Clara, CALIFORNIA, United States ### [Design Systems Documentation Lead](https://jobs.opennash.com/companies/servicenow/jobs/4f2590717195e78e8a7c/) Santa Clara, CALIFORNIA, United States ## Similar jobs at other companies ### [Executive Director, Customer Experience Core Product - Benefits Platform](https://jobs.opennash.com/companies/jpmorganchase/jobs/5a849495a84b99f14793/) JPMorganChase · New York, NY, United States ### [Staff Machine Learning Platform Engineer, AI Evaluation](https://jobs.opennash.com/companies/apple/jobs/891378eea50b6fb5426a/) Apple · Seattle, United States of America ### [Observability & Evaluation Engineer](https://jobs.opennash.com/companies/ntt/jobs/7cf78fd8a87812aa79a0/) NTT · Charlotte, NC, US, United States ### [Field Evaluation Engineer](https://jobs.opennash.com/companies/sgs/jobs/5864a6801c9e9af6b76e/) SGS · Suwanee, GA, United States ### [AIML - Sr Instrumentation Platform Engineer, Evaluation](https://jobs.opennash.com/companies/apple/jobs/bb237375b59be9d0b3ba/) Apple · Sunnyvale, United States of America OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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