Engineering Manager, Data Pipeline

Summary

Join Reddit's Core Platform organization as an Engineering Manager to lead the Data Pipeline team, responsible for handling petabytes of data daily. This high-impact role requires experience managing high-performing engineering teams and building distributed systems at web scale. You will lead the design and evolution of Reddit's Data Pipeline, drive high-leverage projects, build and grow a high-performing team, establish best practices for data governance, and ensure pipeline reliability. Close collaboration with various engineering teams across Reddit is crucial. Continuous development of technical and leadership skills is expected. The role offers a competitive salary and a wide range of benefits.

Requirements

• 3+ years experience in people management of high performing engineering teams
• 7+ years experience in large scale backend distributed systems
• Strong focus on scalability, performance, and quality. You are an undying advocate for the user, and you have a deep intuition for how critical data infra systems work at scale
• High empathy, excellent communication skills, and the ability to find compromise working across the entire engineering org
• BS degree in Computer Science, similar technical field of study or equivalent practical experience

Responsibilities

• Lead the design and long-term evolution of Reddit’s Data Pipeline to support ongoing scale and growth
• Drive high-impact, high-leverage projects that align with Reddit’s broader engineering and business goals
• Build and grow a high-performing team, including hiring, mentoring, and creating a culture of technical excellence
• Establish and champion best practices for data production, consumption, and governance across the company
• Ensure the pipeline remains highly reliable and low latency, even at massive scale
• Collaborate closely with engineering teams across Reddit—such as Ads, ML, and Consumer—to support their data needs
• Extend data infrastructure capabilities across multiple data centers and cloud environments
• Continuously develop your own technical and leadership skills while helping others grow

Preferred Qualifications

Experience in Go, Kubernetes, Flink, Kafka, BigQuery is a huge plus

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k Match
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Reddit Global Days off
• Generous paid Parental Leave
• Paid Volunteer time off