Sr Dir PM- Agentic Core Platform at ServiceNow — Santa Clara, CA

SD, PM-Agentic Core Platform

We’re looking for a Senior Director, PM- Agentic Platform to drive core capabilities underpinning our agentic stack. This is a player-coach role: you’ll lead a team of senior technical PMs while staying deeply hands-on, writing specs, driving architectural decisions, and partnering directly with engineering at every level of the stack. This is not a role for a generalist — it’s for someone equally at home debating prompt chaining strategy with an engineer and presenting a multi-year roadmap to a C-suite.

What you get to do in this role:

• Lead a high-performing PM team. Recruit, mentor, and manage senior technical PMs; set the standard for rigor and technical depth.
• Own the roadmap. Define and drive multi-quarter strategy for core platform components and align with engineering on sequencing and tradeoffs.
• Be the technical anchor between PM and engineering. Partner directly with engineering leads and architects; drive API design, framework architecture, and data model decisions with the same fluency as your engineering counterparts.
• Be a customer-facing product leader. Engage enterprise customers in discovery, design reviews, and escalations — from CTO roadmap presentations to hands-on working sessions with customer engineering teams.
• Deliver enterprise-grade product. Make platform components can be extended by teams building on the platform without sacrificing reliability and deliver enterprise-grade security and reliability.
• Synthesize complexity into clarity. Communicate platform strategy, architectural tradeoffs, and roadmap priorities to executive, technical, and customer audiences with precision.

To be successful in this role you have:

• 15+ years in technical product management with substantial time on platform or infrastructure products at a top-tier enterprise software or AI company; you’ve personally written detailed specs and pushed back on engineering on architecture.
• Agentic AI and LLM expertise. Hands-on product ownership of LLM-based systems; deep understanding of tool-calling, multi-agent coordination, RAG, context management, and real-world failure modes.
• Fluency in AI infrastructure and a drive to stay current. You track the full stack — inference infrastructure, orchestration patterns, emerging runtime standards, and agent frameworks — and bring that knowledge directly into product decisions.
• Engineering depth. Comfortable at the API, data model, and system design level; you can participate meaningfully in architecture reviews and earn engineers’ respect through substance, not title.
• Enterprise scale experience. You’ve shipped software at real scale and know how to write requirements that account for multi-tenancy, latency, observability, and upgrade paths from day one.
• Customer-facing credibility. Equally effective with a customer’s engineering team and their executive leadership; you turn customer conversations into sharper product thinking.
• Player-coach leadership. You manage and elevate a team of PMs while staying deeply in the work yourself — setting the bar through output, not just direction.

JV20

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Equal Opportunity Employer

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