ServiceTitan

Senior Manager, Engineering, Reporting & Dashboards

ServiceTitan

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $202,000 - $270,200 per year

Job Level

Senior

Tech Stack

CloudMavenSDLCSQL

About the role

  • Lead, coach, and grow a geographically distributed team of software and data engineers
  • Drive execution through Agile/Scrum practices; ensure consistent delivery, retrospectives, and sprint planning
  • Define and track engineering effectiveness using metrics (e.g., sprint predictability, incident rates, code quality, deployment frequency)
  • Own the end-to-end delivery of features and improvements for reporting, visualization, and dashboard infrastructure
  • Guide technical design, implementation, and operational excellence, including modernizing the KPI and reporting framework using DBT and MetricFlow
  • Partner closely with Product, Data Platform, and other engineering teams to align on roadmap and cross-team dependencies
  • Champion best practices in software development, data modeling, testing, and CI/CD pipelines
  • Ensure the team maintains high availability, responsiveness, and performance for near-real-time reporting services

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field (Master's or higher degree preferred)
  • 6+ years of experience as a software developer working with distributed and microservice architectures in a SaaS environment
  • 3+ years of experience managing high-performing engineering teams, including remote or distributed teams
  • Proven leadership in driving the Scrum process, with a strong ability to coach teams through planning, execution, and retrospective cycles
  • Demonstrated ability to use engineering KPIs to measure and improve team performance and system health
  • Strong technical background in data engineering, analytics platforms, or full-stack systems delivering reporting and BI solutions
  • Hands-on experience with modern data stack components such as Snowflake, DBT, Looker, or MetricFlow
  • Solid understanding of SQL optimization, KPI computation, and data visualization best practices
  • Excellent written and verbal communication skills; able to bridge technical and non-technical audiences
  • Experience working across time zones and cultures
  • Experience migrating legacy reporting systems to modern, scalable data stacks
  • Familiarity with metadata-driven KPI definition and dynamic SQL generation
  • Background in enterprise SaaS or multi-tenant architecture
  • Understanding of shift-left testing principles and experience driving early test automation and validation practices within the SDLC
  • Exposure to Generative AI technologies to enhance customer experience, such as: Building AI-powered assistants or copilots to help users explore, interpret, or build reports Using LLMs to summarize dashboards or surface insights in natural language Recommending KPIs or visualizations based on user behavior, intent, or data trends