Lead Product Manager - Frontier AI Agents for Enterprise

ServiceNow; San Diego (CA); On-site; USD 236,000 - 394,000; Full time

Benefits offered by this job

Health plans

401(k) match

ESPP

Matching donations

Flexible time away

Family leave

Job summary

ServiceNow in San Diego is seeking a Distinguished Product Manager to shape the vision and execution for a frontier AI agent currently in MVP state. You will own the direction for long-running, self-evolving agents designed to empower enterprise knowledge workers within ServiceNow's AI infrastructure.

Lead the roadmap for agentic platform capabilities, combine governance and orchestration with real-world workflows, and translate cutting-edge research into practical platform primitives that drive

Qualifications

• 12+ years of product management experience, recent hands-on experience shipping agentic products.
• Ability to prototype and challenge engineering decisions with technical credibility.
• Developer background is a strong plus for exceptional PMs.

Responsibilities

• Prototype, experiment, and ship using modern agentic development tools.
• Review implementations and validate feasibility with engineering stakeholders.
• De-risk product bets through hands-on experimentation and rapid iteration.
• Stay at the leading edge of agentic AI and translate research into practical platform primitives.
• Define the long-term product vision for enterprise-agent surface areas and governance.

Skills

Product management

Hands-on coding

Agentic AI

Leadership

Cross-functional

Prototype discipline

Tools

Open-source frameworks

LLM orchestration

Frontend/Backend stack

Job description

ServiceNow in San Diego is seeking a Distinguished Product Manager to shape the vision and execution for a frontier AI agent currently in MVP state. You will own the direction for long-running, self-evolving agents designed to empower enterprise knowledge workers within ServiceNow's AI infrastructure.

Lead the roadmap for agentic platform capabilities, combine governance and orchestration with real-world workflows, and translate cutting-edge research into practical platform primitives that drive