Principal Product Manager, Agentic AI Platform

ServiceNow•Santa Clara, CA

3h•$221,200 - $387,100•Hybrid

About The Position

We are hiring a Principal Product Manager to lead the product vision and execution for a transformational agentic AI platform. This role brings together cutting-edge autonomous agent capabilities with enterprise governance, positioning you at the intersection of frontier AI and real-world workflow impact. You'll own the product direction for long-running, self-evolving autonomous agents designed for enterprise knowledge workers. The platform connects natively to ServiceNow's AI infrastructure, bringing governance, auditability, and workflow intelligence to every agent action- enabling enterprises to deploy AI at scale with the controls they actually need. This is a 0-1 product leadership role on a team that operates like a startup inside enterprise. You'll be the builder who prototypes the next capability before it's on the roadmap, pulls the product forward by showing what's possible, and translates frontier AI research into platform primitives that drive consumption and adoption across the AI portfolio.

Requirements

Builder with hands-on technical depth
You don't just define products. You build, test, and iterate.
8-10+ years of product management experience, recent hands-on experience shipping agentic products in the last 12–18 months. Years of PM tenure matter far less than what you've shipped recently and how deep you've gone technically.
Comfortable working in codebases, standing up prototypes, and challenging engineering decisions with technical credibility.
Background as a developer is a strong plus; exceptional PMs with adjacent technical depth are a match.
Agentic AI expertise and frontier AI fluency
Strong understanding of modern AI systems and agent architectures: planning, memory, tool use, orchestration, multi-step reasoning.
Deep familiarity with the frontier of agentic AI: open-source frameworks, agent loop patterns, LLM orchestration, and the fast-moving research being published today.
Ability to translate fast-moving research into practical, productizable capabilities without waiting for consensus.
You follow the agentic AI community, contribute to or build on open-source projects, and stay connected to emerging patterns.
Enterprise product leadership at scale
Proven product management experience (minimum 8 years), with hands-on involvement in shipping complex products in ambiguous, fast-moving environments.
Track record of shipping 0→1 and scaling 1→N products. You've brought something to market that didn't exist before and then scaled it.
Ability to operate across multiple teams: engineering, design, GTM, partners and create alignment without authority.
Thrives in ambiguity, creates structure where none exists, and pulls products forward through clarity and credibility, not process.
Systems thinker and platform builder
You think in platforms, not features. You see how pieces connect and can architect primitives that multiply value across multiple products and use cases.
You influence by showing, not telling. You paint a compelling picture of what's possible, one that VPs and executive teams want to be part of.

Nice To Haves

Experience working on or shipping multi-agent systems, agentic orchestration platforms, or agent deployment frameworks.
Hands-on involvement with LLM fine-tuning, prompt engineering at scale, or domain-specific model development.
Track record of working with open-source communities, contributing to or building on open frameworks.
Prior experience in enterprise workflow automation, RPA, or low-code/no-code platforms. Understanding the operational constraints enterprises face.
Familiarity with governance, compliance, and auditability requirements for enterprise AI systems.
Experience working with frontier AI providers or integrating cutting-edge models into production systems.

Responsibilities

Operate as an AI-native builder, not yesterday's PM
Actively prototype, experiment, and ship using modern agentic development tools as a core part of your job.
Engage directly with code: review implementations, stand up demos, and validate feasibility alongside engineering.
Use hands-on experimentation to de-risk product bets and accelerate time-to-market.
Stay at the leading edge of agentic AI, autonomous agents, open-source frameworks, orchestration patterns, memory architectures, and translate that into concrete product capabilities.
Own the product surface area and platform primitives
Define and drive the product's long-term vision: autonomous agents enterprises trust to do real work, from desktop execution to orchestrated workflows across systems.
Architect the roadmap for agentic platform capabilities: orchestration, memory and context management, action execution, endpoint interaction, and secure agent governance.
Translate emerging agent patterns into scalable platform primitives that can be leveraged across this product and other ServiceNow AI offerings.
Partner with frontier AI teams and the open-source ecosystem to bring state-of-the-art capabilities into enterprise production.
Own adoption and measurable outcomes at scale
Define clear adoption paths and usage models for agentic capabilities across customer segments.
Partner with go-to-market and outbound teams to ensure time-to-value and measurable impact.
Establish metrics early. Task completion rates, success rates, latency, cost per action, and iterate rapidly against them.
Engage with external ecosystem players and partners as needed to accelerate roadmap and adoption.
Balance near-term customer deliverables with long-term platform differentiation and governance innovation.