Software Engineering Manager - Build Agent

ServiceNow•Santa Clara, CA

3d•$166,500 - $291,400•Hybrid

About The Position

The 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.

Requirements

Direct experience building or leading evaluation systems for LLM-based products — scoring methodology, benchmark design, and failure analysis, not just prompt engineering.
Experience driving cross-team accountability without direct authority — getting other teams to own and fix issues surfaced by your data.
A working understanding of coding agent architecture: tool use, agentic loops, context management, and the tradeoffs 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.
People management experience is required

Nice To Haves

experience managing at scale (8+ engineers) or managing managers is a plus.

Responsibilities

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.