It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Direct experience building or leading evaluation systems for LLM-based products — scoring methodology, benchmark design, and failure analysis, not just prompt engineering
- Understanding of coding agent architecture: tool use, agentic loops, context management, and the trade-offs between generic and domain-specific scaffolding
- 6+ years of experience with technologies relevant to ServiceNow, including advanced coding skills and fluency in one or more of Java, C++, Ruby, Shell, or JavaScript
- Experience critically evaluating foundation models — distinguishing real capability differences from tuning or scaffold artifacts
- Ability to execute against ambiguous priorities, weighing context, risk, and desired outcomes — particularly where eval data is incomplete or contested
More about this role
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.
- 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 :...
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