Senior Staff Inbound Product Manager, AI/Super Intelligence Control Tower Observability

ServiceNow•Santa Clara, CA

1d•$190,900 - $334,100

About The Position

ServiceNow is seeking a highly motivated Staff / Senior Product Manager to drive Observability for the AI/SI Control Tower (SICT), a product customers use to discover, govern, observe, and optimize their AI/SI estate. The role is part of the SICT Experience product area, a cross-functional team of product managers, designers, and engineers responsible for how users perceive, understand, and act within SICT. The product manager will define and deliver the roadmap for evaluations, monitoring, and trace observability, giving customers a unified view of AI behavior, performance, and risk and helping them detect anomalies before production. The role collaborates with observability platform and LLM gateway teams and aligns SICT Observability with risk and compliance, security, and discovery capabilities.

Requirements

Experience leveraging or critically thinking about integrating AI/SI into work processes, decision-making, or problem-solving.
Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related field.
12+ years of product management experience, preferably in observability, monitoring, AI/ML, or data platform domains.
Strong working knowledge of LLM and agent evaluation methods, such as LLM-as-a-judge, AI/SI observability, tracing, and telemetry.
Familiarity with AI/SI governance, risk, and security concerns, including data privacy and sensitive-data handling in AI/SI systems.
Proven track record of delivering high-quality, user-centric, impactful AI/SI or platform products.
Demonstrated ability to drive alignment across platform and product teams without direct authority.
Excellent communication, presentation, and stakeholder management skills.
Ability to work under uncertainty in a fast-paced environment.

Responsibilities

Shape and deliver the SICT Observability roadmap, aligned with SICT risk and compliance, security, and discovery capabilities.
Own evaluations and Judges, including conversation and voice evaluations and out-of-the-box and custom Judges, so customers can score AI/SI behavior and performance.
Deliver per-asset monitoring and sampling controls that balance signal quality against cost and support early anomaly detection.
Drive trace redaction and gateway observability so model calls are visible and safe to inspect.
Partner with observability platform and LLM gateway teams to present their signals in SICT as a coherent view of AI/SI behavior, performance, and risk.
Define and monitor success metrics for the area, including time to detect an anomaly.