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Engineering Manager, Agentic Systems - Moveworks

職種エンジニアリングマネージャー
経験リード級
勤務地Mountain View
勤務オンサイト
雇用正社員
掲載1週間前
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The Role

As the Engineering Manager for the Machine Learning Infrastructure team, you will spearhead the development of the cutting-edge platform that powers Moveworks' conversational AI. This role is absolutely critical to the long-term scalability of our core AI product and, ultimately, the company.

Your primary mission is to lead a team of talented engineers in building, optimizing, and scaling the end-to-end systems for the entire ML/LLM lifecycle. This includes our infrastructure for distributed training and inference, model evaluation frameworks, and LLM latency optimization. You will guide the team's technical vision, balancing the operational demands of our core ML infrastructure with forward-looking research to build the next generation of LLMs using cutting-edge generative AI.

The frameworks your team builds serve as the foundation for all ML models in production, serving hundreds of millions of enterprise employees. Your contributions will be instrumental in shaping the Moveworks Enterprise Copilot platform and defining the future of AI-driven employee services.

What you get to do in this role:

  • Lead, Mentor, and Grow a world-class team of ML and Systems Engineers, fostering a culture of innovation, ownership, and operational excellence that aligns with Moveworks' core principles.
  • Own the Technical Vision and roadmap for the end-to-end ML platform that powers the entire lifecycle—from data synthesis and distributed training to ultra-low-latency inference and serving—for hundreds of production models, including our proprietary MoveLM series.
  • Drive the Strategy for model performance and efficiency, making critical architectural decisions to optimize our GPU infrastructure for latency, throughput, and cost at massive scale.
  • Partner with Leaders across agentic platform, search platform, product engineering, and core infrastructure teams to define and deliver the foundational infrastructure that will power the next generation of agentic AI experiences.
  • Champion a Product Mindset for your platform, building powerful abstractions and tools that accelerate the velocity of machine learning engineers and researchers across the organization.

To be successful in this role you have:

  • A Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
  • 5+ years of industry experience with a proven track record of leading or managing high-performing machine learning or infrastructure teams.
  • Deep technical expertise in designing, building, and scaling end-to-end machine learning systems in production environments.
  • Strong command of Python and experience with performant languages such as C++ or Go Lang.
  • Extensive experience with deep learning frameworks like Py Torch or Hugging Face.
  • Hands-on experience with modern LLM infrastructure, including distributed training frameworks (e.g., Deepspeed) and inference/serving frameworks (e.g., vLLM, TensorRT-LLM, Kubernetes).
  • A strategic mindset with experience balancing the demands of operating robust, scalable infrastructure with the need for forward-looking research and development.
  • Excellent communication and collaboration skills, with experience working cross-functionally to deliver complex projects.

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. 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

Service Now is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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 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), Service Now may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon Service Now obtaining any export license or other approval that may be required by relevant export control authorities.

From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Who we are

Moveworks is the Agentic AI Assistant platform that empowers the entire workforce.

Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt.

Moveworks is trusted by over 5.5 million employees at more than 350 of the world’s largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company’s 2025 Most Innovative Companies and Inc’s Best in Business, in the Best in Innovation category. Moveworks was also recognized at Microsoft’s 2025 Partner of the Year and in 2024, received the AI Breakthrough Award.

In December 2025, Moveworks was acquired by Service Now, marking a pivotal milestone in our journey to create a single front door to work for all business systems. By combining Service Now’s leading workflow automation with Moveworks’ Reasoning Engine and natural language capabilities, we deliver the AI platform for every person and every workflow. Built to go beyond basic summaries to deliver meaningful business impact. Together, our AI acts across enterprise systems to turn conversations into completed work.

By joining our team, you’ll be at the forefront of the AI transformation, backed by the global scale of Service Now and the agility of a high-growth company. We are looking for world-class talent to help us extend agentic AI to every employee across every corner of the business.

Come join us!

Service Now

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

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ServiceNowについて

ServiceNow

ServiceNow, Inc. is an American software company that supplies a cloud computing platform for the creation and management of automated business workflows. The company was founded in Santa Clara, California, United States, in 2003 by Fred Luddy.

10,001+

従業員数

Santa Clara

本社所在地

$150B

企業価値

レビュー

10件のレビュー

3.8

10件のレビュー

ワークライフバランス

2.8

報酬

3.7

企業文化

4.1

キャリア

3.4

経営陣

3.2

72%

知人への推奨率

良い点

Supportive and collaborative team environment

Good training and development opportunities

Flexible work arrangements

改善点

Work-life balance challenges and heavy workload

Fast-paced and stressful work environment

Management and communication issues

給与レンジ

59件のデータ

Junior/L3

Director

Junior/L3 · Business Analyst

1件のレポート

$123,671

年収総額

基本給

$107,453

ストック

-

ボーナス

-

$123,671

$123,671

面接レビュー

レビュー6件

難易度

3.0

/ 5

期間

14-28週間

内定率

17%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Behavioral Interview

4

Technical Interview

5

Final Round

6

Offer

よくある質問

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience