ServiceNow

Engineering Manager, Agentic Systems - Moveworks

ServiceNow • $150K — $180K *
Mountain View, CA 94040In-Person
Enterprise Technology
5 - 7 years of experience
1 month ago
Job Overview by Ladders

Qualifications

  • Master's or Ph.D. in Computer Science, Machine Learning, or related field.
  • 5+ years of industry experience leading or managing ML/infrastructure teams.
  • Deep expertise in building and scaling ML systems in production.
  • Strong programming skills in Python with knowledge of C++ or GoLang.
  • Experience with deep learning frameworks like PyTorch or Hugging Face.
  • Hands-on familiarity with LLM infrastructure and frameworks like Deepspeed, vLLM, and Kubernetes.
  • Strategic mindset for balancing operational and research needs.
  • Excellent cross-functional communication and collaboration skills.

Responsibilities

  • Lead and nurture a high-performing ML and Systems Engineering team.
  • Own the technical vision and roadmap for the ML platform lifecycle.
  • Drive strategy for optimizing model performance and GPU infrastructure.
  • Collaborate with leaders across platforms to define foundational infrastructure.
  • Promote a product-oriented approach that enhances ML engineering workflows.

Benefits

  • Flexible work arrangements depending on work persona categories.
  • Trust-based approach to remote working.
  • Opportunities for professional growth and mentorship within the team.
  • Access to cutting-edge technology and innovative projects.
Full Job Description
Job Description

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.


Qualifications

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 GoLang.
  • Extensive experience with deep learning frameworks like PyTorch 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.


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. 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.

About ServiceNow

ServiceNow provides cloud-based solutions that define, structure, manage, and automate services for enterprise operations in North America, Europe, the Middle East, Africa, the Asia Pacific, and other countries. The company offers service management solutions, including incident, problem, change, request, and cost management as well as service catalogs; and IT, HR, facilities, and field service management solutions. It also provides IT operations management solutions covering service mapping, delivery, and assurance solutions; business management solutions such as financial management, project portfolio suite, vendor performance management, and performance analytics as well as governance, risk, and compliance; and application development services.

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Learn more about ServiceNow
Size
16,881 employees
Market Cap
$76.5 billion
Industry
Information Technology
Net Income
$118.5 million
Founded
2004
5 Year Trend
+33.5%
Revenue
$4.5 billion
NASDAQ
NOW
* Ladders Estimates

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