About the job
We are hiring a Director of Product Management to lead the product vision and execution for a transformational frontier Ai agent currently in MVP state. 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.
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.
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.
Define clear adoption paths and usage models for agentic capabilities across customer segments.
Establish metrics early. Task completion rates, success rates, latency, cost per action, and iterate rapidly against them.
Qualifications
Minimum
8-10+ years of product management experience, recent hands-on experience shipping agentic products in the last 12–18 months.
Comfortable working in codebases, standing up prototypes, and challenging engineering decisions with technical credibility.
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.
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.
Preferred
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.
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.
Background as a developer is a strong plus.