Principal Software Engineer, Reporting & Dashboards

Ready to be a Titan?
We’re looking for someone to lead all technical aspects of an engineering team at ServiceTitan. You must have a strong background in responsive web application development, building distributed systems for scale, and a proven ability to deliver technical leadership and strong process management.

We make a huge impact on thousands of companies in the U.S. and abroad by enabling them to be more efficient and effective at running their business. Many of the features we offer — in particular, Machine Learning and AI-driven scheduling and dispatch automation — are light-years ahead of what currently exists on the market, and we love to hold this position. We are quality minded, use the most modern tools on .NET platform, have an amazing culture, love to solve complex problems, and embrace learning, exploration and growth. If you share the same values, we’d like to talk to you!

What you'll do:

• Own the architecture and technical direction for the Report and Dashboard platform, ensuring it can scale to meet real-time, self-service, and embedded analytics needs.

• Lead hands-on design and development of data ingestion, streaming, processing, visualization, and semantic modeling components.

• Architect and develop support for import/export pipelines, data sharing, and BI connectors.

• Work closely with PMs, other engineering teams, and stakeholders to define strategic initiatives, delivery milestones, and system-wide designs.

• Bring AI/ML thinking—particularly Agentic AI patterns—into the reporting product experience to surface intelligent and contextual analytics.

• Contribute to a modern, resilient tech stack: C#, PostgreSQL, React, Snowflake, dbt, MetricFlow.

• Own: Own from end to end the short and long term technical vision of your team

• Design & Revamp: 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

• Improve Efficiency: Build tools to increase efficiency of all our engineers; improve performance, processes, and quality across the whole engineering team

• Discover: Identify opportunities to extract or develop systems beneficial for multiple teams

• Empower: Mentor and guide Engineers across engineering as a whole

• 60% development / 40% working on everything else

• Team building: Work closely with Recruiting — in particular, interview candidates and co-own activities related to lead generation (e.g. tech talks) and screening (HackerRank tests)

• Strategy: Contribute to the roadmap and resource planning

• Measure Success: Determine metrics for success and constantly measure them

• Collaborate: Communicate effectively with cross-functional teams, engineers, Product Managers, customers, and partners

What You Bring:

• B.S. in Computer Science, Physics, Engineering or a related technical field.

• 10+ years in Software R&D

• Proven experience as a Principal Engineer, Staff+ Architect, or Director-level IC, ideally in a product-focused SaaS company.

• Deep domain knowledge in data architecture, streaming and batch pipelines, ETL/ELT, data lake/lakehouse, data modeling, and analytics platforms.

• Strong system design skills with experience building large-scale, distributed, high-performance systems.

• Strong programming skills in backend languages (C# preferred, or similar), with solid SQL and understanding of data lineage and governance.

• Experience embedding analytics into product UIs, building multi-tenant reporting systems, or delivering customer-facing BI experiences.

• Understanding of how to leverage AI/ML and LLMs (especially Agentic AI) to create intelligent data-driven products.

• Passion for clean architecture, elegant abstractions, and high engineering standards.

Preferred:

• M.S. or PhD in Computer Science, Physics, Engineering or a related technical field.

• Hands-on expertise with Snowflake, dbt, MetricFlow, or similar cloud-based data stack.

• Experience with cube.dev, BI connectors, and metric layer tools.

• Familiarity with React and front-end architectures for interactive data visualiz