ServiceNow: Senior Staff Inbound Product Manager, AI/Super Intelligence Control Tower Observability — Santa Clara, California, United States

About ServiceNow

ServiceNow develops an enterprise software platform bringing together data, workflows and AI for business operations. Its employer introduction traces the business to automating a repetitive workplace task and describes a continuing focus on freeing people from routine work. The platform is intended to connect technology with how organisations carry out their processes. This makes workflow automation and the use of information in everyday business activity central themes, rather than a product aimed at only one industry.

The position and its setting

ServiceNow lists Senior Staff Inbound Product Manager, AI/Super Intelligence Control Tower Observability in Santa Clara, California, United States, under reference JB0076238. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Product
• Employment type: Full-time
• Employer listing date: 24 October 2026
• Brands: ServiceNow

Responsibilities and work described

• A 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
• 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

Essential requirements and candidate background

• To be successful in this role you have:
• Experience: 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
• Knowledge: LLM and agent evaluation methods (e.g., LLM-as-a-judge), AI/SI observability, tracing, and telemetry
• Familiarity: AI/SI governance, risk, and security concerns, including data privacy and sensitive-data handling in AI/SI systems
• Track record of delivering high-quality, user-centric, and impactful AI/SI or platform products
• Drive alignment across platform and product teams without direct authority
• Communication, presentation, and stakeholder management skills
• 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

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Work arrangement: Hybrid
• Advertised location: Santa Clara, California, United States

Benefits mentioned by the employer

• 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

Employer details to confirm

• The employer’s seniority category and its stated experience requirements do not agree. Follow the role-specific requirements above rather than assuming this is a fresher opening.

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Staff Inbound Product Manager, AI/Super Intelligence Control Tower Observability vacancy is not an offer for reference JB0076238; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to ServiceNow

Applications follow the official employer page linked below.

Open the official ServiceNow posting below and match the title and reference JB0076238.

Compare your qualifications and experience with the essential conditions for the Santa Clara, California, United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: AI

An AI-related example should make the task and evaluation explicit. Explain the inputs, the system’s intended output and how you checked errors, usefulness or reliability, rather than relying on the model name alone.

Relevant skills

• AI/ML
• LLMs
• AI
• compliance
• sales
• stakeholder management
• communication