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Manager, Software Engineering

ServiceTitan

$183,400 - $245,400
Oct 28, 2025
Remote, US
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ServiceTitan is looking for a technical leader to manage all technical aspects of an engineering team, focusing on improving efficiency, performance, and quality of their products, particularly in Machine Learning and AI-driven scheduling and dispatch automation.

Requirements

  • Experience with large scale enterprise web/SaaS applications
  • Expert-level knowledge of: Microsoft .NET technology stack (C-Sharp / .NET, ASP.NET MVC, Web APIs) and SQL databases (Microsoft SQL Server or any other)
  • Taking existing monolithic applications to a domain based, service-driven paradigm
  • Experience with large scale 3rd party integrations
  • Basic Microsoft Windows administration skills including IIS administration
  • Performance / reliability monitoring tools (e.g. New Relic, DataDog, Application Insights)
  • Log / Metric collection and analysis tools (e.g. Elasticsearch-Logstash-Kibana, DataDog, Interana)

Responsibilities

  • Own from end to end the short and long term technical vision of your team
  • Design, implement and improve critical systems and components powering ServiceTitan stack; improve the security, availability, reliability, and performance of our products; drive/participate in all major architectural and strategic decisions especially those relating to scale
  • Build tools to increase efficiency of all our engineers; improve performance, processes, and quality across the whole engineering team
  • Identify opportunities to extract or develop systems beneficial for multiple teams
  • Mentor and guide Engineers across engineering as a whole
  • Work closely with Recruiting — in particular, interview candidates and co-own activities related to lead generation (e.g. tech talks) and screening (HackerRank tests)
  • Contribute to the roadmap and resource planning

Other

  • Ability to empathize with our users and champion their experience.
  • Strong communication and technical writing skills
  • B.S., M.S. or PhD in Computer Science, Physics, Engineering or a related technical field.
  • Flextime, recognition, and support for autonomous work
  • Holistic health and wellness benefits