产品管理总监 - 人工智能代理产品
Director, Product Management- AI Agent Products
#### 公司简介
一切始于工程师Fred Luddy为他的同事Phyllis编写了一段代码，自动化了一个繁琐的任务。她喜极而泣。那一刻启发了Fred创建一家公司，让每个人都能摆脱琐事，专注于有意义的工作。如今，ServiceNow是业务重塑的AI控制中心。我们的ServiceNow AI平台整合任何AI、任何数据和任何工作流程，帮助85%的财富500强®企业更聪明、更快、更好地工作。我们正在打造一种AI原生文化，让技术和人才携手并进， unstoppable。我们才刚刚开始。
加入我们，让AI为人们工作。
#### 职位描述
**职位简介**
我们正在招聘一位产品经理总监，负责一个处于MVP阶段的变革性AI代理产品的战略和执行。这个职位将前沿的自主代理功能与企业治理相结合，使你处于前沿AI与实际工作流程影响的交汇点。
你将负责长期运行、自我演化的自主代理产品方向，这些代理专为企业知识工作者设计。该平台原生连接ServiceNow的AI基础设施，为每个代理操作带来治理、可审计性和工作流程智能，使企业能够以他们真正需要的控制方式大规模部署AI。
这是一个在企业内部像初创公司一样运作的团队中的0-1产品领导角色。你将成为先于路线图构建新功能的开发者，通过展示可能性推动产品前进，并将前沿AI研究转化为驱动整个AI产品组合使用和采用的平台基础。
**为什么这个职位很重要**
自主代理正从研究走向生产。这个职位让你成为这一转变的核心。你将定义企业如何安全地利用代理AI，智能地进行治理，并从中提取真实价值。你的产品决策将塑造大型组织中下一代自主工作的实现方式。
**你将产生的影响**
作为AI原生的建造者，而非过去的PM
- 将主动原型设计、实验和发布作为工作核心部分，使用现代代理开发工具。
- 直接参与代码：审查实现、搭建演示，并与工程团队一起验证可行性。
- 通过动手实验降低产品风险
查看英文原文
#### Company Description
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
#### Job Description
**About the role**
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.
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.
**Why this role matters**
Autonomous agents are moving from research to production. This role puts you at the center of that shift. You'll define how enterprises will harness agentic AI safely, govern it intelligently, and extract real value from it. Your product decisions will shape how the next generation of autonomous work gets done across large organizations.
**The Impact You’ll Make**
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.
#### Qualifications
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 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, 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.
For positions in this location, we offer a base pay of **$221,200 - $387,100**, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.
#### Additional Information
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. [Learn more here](https://careers.servicenow.com/life-at-servicenow#workpersonas). To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [globaltalentss@servicenow.com](mailto:globaltalentss@servicenow.com) for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
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