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Salary: USD 225,200 - 394,100 / annual
ServiceNow is seeking a Distinguished Product Manager to lead the product vision and execution for a transformational frontier AI agent platform currently in MVP state. This is a 0-1 product leadership role operating like a startup within an enterprise, positioned at the intersection of frontier AI and real-world workflow impact.
You will 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 necessary controls.
Key responsibilities include:
**AI-Native Builder Role:**
- 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, and memory architectures
**Product Surface & Platform Primitives:**
- Define and drive the product's long-term vision for autonomous agents enterprises trust to do real work
- 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 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
**Adoption & Measurable Outcomes:**
- 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
- Engage with external ecosystem players and partners to accelerate roadmap and adoption
- Balance near-term customer deliverables with long-term platform differentiation and governance innovation
**Requirements:**
*Builder with Hands-On Technical Depth:*
- 12+ years of product management experience with 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
- Background as a developer is a strong plus; exceptional PMs with adjacent technical depth are a match
*Agentic AI Expertise & 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 fast-moving research
- Ability to translate fast-moving research into practical, productizable capabilities without waiting for consensus
- Follow the agentic AI community, contribute to or build on open-source projects, and stay connected to emerging patterns
*Enterprise Product Leadership at Scale:*
- Minimum 8 years of proven product management experience with hands-on involvement in shipping complex products in ambiguous, fast-moving environments
- Track record of shipping 0→1 and scaling 1→N products; 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
*Systems Thinker & Platform Builder:*
- Think in platforms, not features; see how pieces connect and architect primitives that multiply value across multiple products and use cases
- Influence by showing, not telling; paint a compelling picture of what's possible
*Nice to Have:*
- 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
- 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
