Engineering Manager, Data Foundations

Convex; India; Remote; INR 3,800,000 - 7,000,000; Full time

Job summary

ServiceTitan is seeking an Engineering Manager for Data Foundations in a fully remote setup with teams in the US and India. You will stay hands-on while guiding architecture and leading a 5+ engineer team, shaping data ingestion, quality tooling, and cost optimization across the data platform.

You will review architecture and code, prototype solutions, and drive the technical direction without delegating all design work. Join a mission to build a scalable, reliable data foundation.

Qualifications

• 8+ years in data or software engineering, with 2+ years leading teams of 5+ engineers.
• Proven experience building teams across regions/time zones with async-first habits.
• Hands-on with cloud, Kubernetes, Kafka, Snowflake, Iceberg/Delta/Hudi, Airflow, and Python.

Responsibilities

• Manage and grow a 5+ person data engineering team across US and India.
• Review architecture, code, and guide technical direction hands-on.
• Drive data ingestion, quality tooling, and cost-optimization strategies.
• Own platform operations, monitoring, incidents, and governance with stakeholders.

Skills

Engineering management

Multi-region teams

Async-first propulsion

Cloud/Kubernetes

Kafka

Snowflake

Airflow

Python

Distributed systems

Data ingestion/cost optimization

Tools

Cloud Providers

Job description

Engineering Manager, Data Foundations

India Remote

Full time

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

• 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.
• 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.
• 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.
• 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

• 8+ years in data or software engineering, with 2+ years managing engineering teams of 5 or more.
• 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.
• 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.
• 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.

Be Human With Us: Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.

Use of AI Technology: We use technology, including automated and AI‑assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.

At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, sexual orientation, or any other characteristic protected by applicable laws.

About Us

We’re building the first end-to-end solution to transform the trades, a trillion‑dollar global industry that’s been underserved by technology for far too long. Recognized by Forbes as one of the top cloud companies, we use our deep industry knowledge and technical expertise to develop solutions that empower everyday entrepreneurs to grow and scale their businesses. While our vision is bold, we always stay humble. Join us. We’re just getting started.