高级AI工程支持负责人
Senior AI Engineering Enablement Lead
#### 公司简介
一切始于工程师弗雷德·卢迪为他的同事菲利斯编写了一段代码，自动化了一个繁琐的任务。她感动得喜极而泣。这一时刻激发了弗雷德创建一家公司，让每个人都能摆脱琐事，专注于更有意义的工作。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，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，让技术和人才携手不可阻挡。而我们才刚刚开始。
加入我们，让 AI 为人们工作。
#### 职位描述
**关于团队**
AI 赋能与开发团队构建我们 AI 工程与开发组织的 AI 工程能力。我们设计并提供实用的学习体验，帮助工程师从新入职者到高级技术负责人，更快上手、深入专业知识，并紧跟快速发展的 AI 技术、开发工具和工程实践。
我们的目标是培养一个具备能力、自信且持续配备资源的工程团队，能够交付安全、可靠、高质量的 AI 产品。
**你将负责**
- 开发和指导 AI 工程赋能计划，包括入职训练营、动手研讨会、技术深度解析和内部工程论坛。
- 构建并维护符合组织优先事项和新兴技术能力的角色化 AI 工程课程。
- 与工程负责人和领域专家合作，确保培训内容反映当前的工具、架构、开发实践和实际工程挑战。
- 评估工程团队的能力和技能差距，并将发现转化为优先的赋能路线图。
- 创建基于组织生产环境的动手实验、编码练习、参考实现和其他学习体验。
- 通过参与度、熟练度、采用率和工程成果来衡量项目效果，并利用这些发现改进课程。
- 在员工、技术和组织规划讨论中代表工程赋能。
- 试点新的学习方法，并迅速扩展能带来可衡量结果的项目。
- 帮助建立一种持续学习、技术卓越和知识共享的文化。
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 team**
The AI Enablement & Development team builds the AI engineering capabilities of our AI Engineering & Development organization. We design and deliver practical learning experiences that help engineers, from new hires to senior technical principals, ramp faster, deepen their expertise, and stay current with rapidly evolving AI technologies, development tools, and engineering practices.
Our goal is to foster an engineering organization that is capable, assured, and consistently equipped to deliver secure, reliable, high-quality AI products.
**What you’ll do**
- Develop and guide AI engineering enablement programs, including onboarding bootcamps, hands-on workshops, technical deep dives, and internal engineering forums.
- Build and maintain a role-based AI engineering curriculum aligned with organizational priorities and emerging technical capabilities.
- Partner with engineering principals and subject-matter experts to ensure training reflects current tools, architectures, development practices, and real-world engineering challenges.
- Assess capability and skills gaps across engineering teams and translate findings into a prioritized enablement roadmap.
- Create hands-on labs, coding exercises, reference implementations, and other learning experiences grounded in the organization’s production environment.
- Measure program effectiveness through participation, proficiency, adoption, and engineering outcomes—and use the findings to improve the curriculum.
- Represent engineering enablement in workforce, technology, and organizational planning discussions.
- Pilot new learning approaches and rapidly scale the programs that deliver measurable results.
- Help build a culture in which continuous learning, technical excellence, and knowledge-sharing are part of how engineering operates.
- To be successful in this role, you will bring
- Strong engineering judgment and the credibility to engage experienced engineers as a technical peer.
- Deep curiosity about AI development, emerging tools, coding practices, and the changing role of software engineers.
- The ability to explain complex concepts clearly without oversimplifying them.
- A strong teaching instinct—you can recognize when an audience is disengaged or confused and adjust your approach in real time.
- The confidence to debate technical approaches, evaluate tradeoffs, and move beyond scripted instruction.
- A practical, hands-on orientation and a preference for learning through building, testing, and solving real engineering problems.
- A commitment to fostering continuous learning, experimentation, and shared technical excellence.
#### Qualifications
**To be successful in this role you have:**
- 7+ years of professional software engineering experience, ideally including experience as a tech lead, Staff Engineer, or Engineering Manager.
- 2+ years of experience training, mentoring, or guiding technical enablement for software engineers.
- Strong hands-on proficiency with AI-assisted development, AI/ML engineering practices, and modern software-development tools.
- Experience designing technical curricula, workshops, labs, or structured learning programs for engineers.
- Excellent communication and facilitation skills, with the ability to teach foundational concepts and engage senior engineers in nuanced technical discussions.
- Experience presenting to highly technical audiences and responding effectively to provocitive questions.
- Knowledge of the ServiceNow Platform is preferred.
JV20
For positions in this location, we offer a base pay of **$113,700 - $199,000** 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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