ServiceTitan

Engineering Manager, Data Foundations

In short

Engineering Manager role leading the Data Foundations team at ServiceTitan, responsible for data ingestion, data quality, and cost management across the company's data platform. The role requires staying hands-on technically — reviewing architecture and code, prototyping solutions — while managing and growing a team of 5+ data engineers spanning the US and India across multiple time zones. Requires 8+ years in data or software engineering with 2+ years managing teams of 5 or more, and hands-on depth with Kubernetes, Kafka, Snowflake, Iceberg/Delta/Hudi, Airflow, and Python.

Ready to be a Titan?
We're looking for an experienced Engineering Manager to lead our Data Foundations team — the team responsible for data ingestion, data quality, and cost management across ServiceTitan's data platform. You'll stay hands-on and technically engaged, guiding architecture personally rather than delegating it, while building and leading a team of strong engineers across the US and India.
What You'll Do
•Lead and Mentor: Manage and grow a team of 5+ data engineers spanning multiple regions and time zones. Set clear expectations, provide regular feedback, and build a team culture rooted in ownership and psychological safety.
•Hands-On Technical Leadership: Stay hands-on — review architecture and code, prototype solutions to hard problems, and personally guide the team's technical direction rather than delegating all design work.
•Architecture, Data Quality & Cost: Drive architecture for data ingestion (Kafka, custom ETL Agent), Snowflake, and Airflow; own the strategy for data quality tooling and monitoring; and lead cost optimization efforts, balancing efficiency with reliability and long-term platform health.
•Operations & Stakeholder Collaboration: Own the operational posture of the platform — monitoring, alerting, incident response, and on-call — while championing data governance best practices and partnering with product, architecture, and business stakeholders to deliver the roadmap.
What You'll Bring
•Experience: 8+ years in data or software engineering, with 2+ years managing engineering teams of 5 or more.
•Building & Leading Global Teams: Proven experience building and leading engineering teams across multiple regions and time zones, with strong async-first habits and comfort setting technical direction without relying on overlapping hours.
•Technical Depth: Hands-on experience with Cloud Providers, Kubernetes, Kafka, Snowflake, Iceberg/Delta/Hudi, Airflow, and Python; a strong grasp of distributed systems trade-offs; and experience architecting data ingestion, quality, and cost-optimization solutions at scale.
•Communication & Collaboration: Direct, empathetic, and outcome-focused. Able to align cross-functional stakeholders, articulate technical trade-offs, and influence architectural direction without direct authority.
Nice to Have
•Experience with CDC patterns and tooling (Debezium or similar).
•Familiarity with dbt or modern transformation frameworks.
•Prior experience building or standing up a new team or engineering hub in a new region.
•Experience with AI-assisted engineering tooling (Cursor, Copilot, Claude Code, etc.) or building AI-powered agents for operational use cases.

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