ServiceNow

Senior Manager, Machine Learning Engineering

Join ServiceNow in Santa Clara as a Senior Manager, Machine Learning Engineering. Lead AI solutions, requiring 10+ years in ML and prompt engineering. Benefits include competitive pay, equity, and flexible time off.

ServiceNow Role Type:
ServiceNow Modules:
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Incident Management
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Predictive Intelligence
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Service Portal
ServiceNow Certifications (nice to have):

Job description

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Posted on:
 
July 10, 2025

The Senior Manager, Machine Learning Engineering will lead the development of AI and Machine Learning solutions that transform the user experience and workflow efficiency of enterprise services. The role requires 10+ years of related experience and 4+ years of management and/or technical lead experience. The team collaborates closely with product teams to translate business requirements into robust, measurable solutions. The ideal candidate will have experience with prompt engineering, developing LLM-based features, and leveraging AI into work processes, decision-making, or problem-solving.

Requirements

  • Proficient in prompt engineering and developing LLM based features
  • Experience with methods of training and fine tuning large language models, such as distilation, supervised fine-tunning and policy optimization
  • Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
  • 10+ years of related experience with a bachelor's degree; or 8 years and a master's degree; or a PhD with 5 years' experience; or equivalent work experience
  • 4+ years of management and/or technical lead experience, proficiency in providing feedback to work group strategies, policies and plans
  • Experience building new products that use challenging algorithms in hands of customers.
  • Proficient with methods of prompt tuning LLMs. Good to have some awareness of fine-tuning large language models, such as distillation, supervised fine-tuning and policy optimization.
  • Knowledge of core AI/ML techniques and algorithms
  • Expertise in coding efficient, object-oriented, modularized and quality software. Knowledge of unit testing, profiling, and code tuning.

Benefits

  • Base pay of $197,800 - $346,200
  • Equity (when applicable)
  • Variable/incentive compensation
  • Health plans, including flexible spending accounts
  • 401(k) Plan with company match
  • ESPP
  • Matching donations
  • Flexible time away plan
  • Family leave programs

Requirements Summary

10+ years of related experience, 4+ years of management and/or technical lead experience, and proficiency in prompt engineering and developing LLM-based features