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Build Agent is ServiceNow's AI coding assistant, purpose-built for the platform's metadata-driven substrate - operating natively across ServiceNow's scoped applications, tables, and metadata types.
This role leads the team responsible for the Build Agent evaluation framework, model support, and telemetry.
The framework is critical to Build Agent success — it's already driven measurable wins: recovering Build Agent correctness, cutting latency and inference cost ahead of a major release, and catching high-severity defects that manual testing missed before they reached production.
The team is 8 engineers and is currently the bottleneck on its own scale — this role exists to convert a high-performing initiative into a durable, scalable function.
Key areas of focus include:
• Evaluation Infrastructure : Golden prompt sets, Pass@1 and functional scoring, failure categorization (plumbing vs. metadata-creation failures), and coverage across ServiceNow metadata types and UI workflows.
• Model Support & Benchmarking : Structured evaluation of candidate foundation models against the production default, with failure-consistency analysis to separate scaffold/tuning issues from genuine capability gaps.
• Telemetry : Token usage, cache efficiency, and inference cost tracked alongside correctness as first-class release signals.
• Cross-Team Arbitration : Prioritizing eval coverage, defining what "good" means across surfaces owned by different contributing teams, and turning eval signal into committed fixes by the owning teams rather than open-ended findings.
What you get to do in this role
• Own eval strategy and roadmap: prompt set design, scoring methodology, failure-mode taxonomy, and telemetry instrumentation.
• Coordinate across the multiple teams contributing to Build Agent to arbitrate quality standards and drive eval findings to committed, owned fixes — not just reports.
• Lead model benchmarking efforts, making data-backed recommendations on model support decisions (e.g., evaluating frontier coding models against the incumbent default).
• Manage the daily activities of an 8-engineer team, including staffing, mentoring, and performance management, while building the scale (people, process, or automation) to remove the team as its own bottleneck.
• Solve ambiguous, cross-cutting problems where eval signal, model capability, and platform architecture intersect — and where "correct" isn't obvious until you've defined the bar.
• Represent eval results and model support recommendations to cross-functional and executive stakeholders, including in response to org-wide benchmark initiatives.
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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.
Build Agent is ServiceNow's AI coding assistant, purpose-built for the platform's metadata-driven substrate - operating natively across ServiceNow's scoped applications, tables, and metadata types. This role leads the team responsible for the Build Agent evaluation framework, model support, and telemetry.
The framework is critical to Build Agent success — it's already driven measurable wins: recovering Build Agent correctness, cutting latency and inference cost ahead of a major release, and catching high-severity defects that manual testing missed before they reached production. The team is 8 engineers and is currently the bottleneck on its own scale — this role exists to convert a high-performing initiative into a durable, scalable function.
Key areas of focus include:
Evaluation Infrastructure : Golden prompt sets, Pass@1 and functional scoring, failure categorization (plumbing vs. metadata-creation failures), and coverage across ServiceNow metadata types and UI workflows.
Model Support & Benchmarking : Structured evaluation of candidate foundation models against the production default, with failure-consistency analysis to separate scaffold/tuning issues from genuine capability gaps.
Telemetry : Token usage, cache efficiency, and inference cost tracked alongside correctness as first-class release signals.
Cross-Team Arbitration : Prioritizing eval coverage, defining what "good" means across surfaces owned by different contributing teams, and turning eval signal into committed fixes by the owning teams rather than open-ended findings.
Own eval strategy and roadmap: prompt set design, scoring methodology, failure-mode taxonomy, and telemetry instrumentation.
Coordinate across the multiple teams contributing to Build Agent to arbitrate quality standards and drive eval findings to committed, owned fixes — not just reports.
Lead model benchmarking efforts, making data-backed recommendations on model support decisions (e.g., evaluating frontier coding models against the incumbent default).
Manage the daily activities of an 8-engineer team, including staffing, mentoring, and performance management, while building the scale (people, process, or automation) to remove the team as its own bottleneck.
Solve ambiguous, cross-cutting problems where eval signal, model capability, and platform architecture intersect — and where "correct" isn't obvious until you've defined the bar.
Represent eval results and model support recommendations to cross-functional and executive stakeholders, including in response to org-wide benchmark initiatives.
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.
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, 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.
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 globaltalentss@servicenow.com for assistance.
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.
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Enterprise software company providing cloud-based workflow automation platforms.
Visit company websiteJobs and hiring trendsUSD 166500-291400 yearly / year
Full-time
Senior · 6+ years experience
Onsite
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