Director, Product Manager- Agentic AI Platform

ServiceNow is a company focused on AI-driven business reinvention, and they are seeking a Director of Product Management to lead the product vision for their agentic AI platform. The role involves owning product direction for autonomous agents, ensuring governance, and driving measurable outcomes at scale.

Responsibilities:

• 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
• 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
• 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

Requirements:

• 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
• 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
• 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
• 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
• 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