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Senior Manager, Machine Learning Engineering

ServiceNow

$197,800 - $346,200
Aug 28, 2025
Santa Clara, CA, US
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ServiceNow is looking to solve the problem of transforming how we work by bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500, and making the world work better for everyone.

Requirements

  • Proficient in prompt engineering and developing LLM based features
  • Experience with Search quality improvements
  • Experience in using Al productivity tools such as Cursor, Windsurf, etc.
  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
  • 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

Responsibilities

  • Build the best cloud-based AI/ML solutions to power intelligent enterprise services.
  • Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software
  • Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users.
  • Creating and maintaining large-scale data processing pipelines that ensure that data is processed accurately, efficiently, and securely
  • Developing and refining benchmarks for conversational systems
  • Leveraging user feedback to continuously improve performance
  • Innovating in areas like semantic search, language modeling, and dialogue management

Other

  • 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
  • Must be willing to work in a flexible, remote, or required in office environment
  • Must be eligible to work in the location specified