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ServiceNow UK Limited

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

Santa Clara, California, US Posted 2 days ago $190,900 - $334,100

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Product managementComplianceLLMsMachine learningStakeholder managementServiceNow

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No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.

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About the role

We are looking for a highly motivated Staff / Senior Product Manager to help drive Observability for AI/SI Control Tower (SICT) — the product customers use to discover, govern, observe, and optimize their AI/SI estate. You will join the SICT Experience product area, a cross-functional team of product managers, designers, and engineers that owns how every user perceives, understands, and acts within SICT. You  will help define and deliverer the roadmap for evaluations, monitoring, and trace observability, so customers can see how their AI behaves, performs, and how risky it is — in one place — and detect anomalies before they reach production. What you get to do in this role • Shape and deliver the roadmap for SICT Observability aligned with SICT's risk and compliance, security, and discovery capabilities. • Own evaluations and Judges — conversation and voice evaluations, plus out-of-the-box and custom Judges — so customers can score how their AI/SI behaves and performs. • Deliver per-asset monitoring and sampling controls that let customers balance signal quality against cost and detect anomalies early. • Drive trace redaction and gateway observability so every model call is visible and safe to inspect. • Partner closely with the observability platform and LLM gateway teams so the signals they produce show up in SICT as one coherent view of AI/SI behavior, performance, and risk. • Define and monitor success metrics for the area, including time to detect an anomaly. To be successful in this role you have: • Experience in leveraging or critically thinking about how to integrate AI/SI into work processes, decision-making, or problem-solving. This may include using AI/SI-powered tools, automating workflows, analyzing AI/SI-driven insights, or exploring AI's potential impact on the function or industry. • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related field. • 12+ years of experience in product management, preferably in observability, monitoring, AI/ML, or data platform domains. • Strong working knowledge of LLM and agent evaluation methods (e.g., 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, and 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.   FD21 For positions in this location, we offer a base pay of $190,900 - $334,100 , 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. Work Personas 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

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