Engineering Manager, Data Pipeline

Overview

Reddit is a community of communities. It’s built on shared interests, passion, and trust and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 101M+ daily active unique visitors, Reddit is one of the internet’s largest sources of information.

For more information, visit

Reddit’s Core Platform organization builds the foundational software, frameworks, and infrastructure that power the rest of the company. Operating in a complex, multi-cloud environment spanning AWS, GCP, and Kubernetes, this group ensures our systems scale with the demands of Reddit’s rapidly growing user base and evolving business.

We’re looking for an Engineering Manager to lead our Data Pipeline team, which owns the infrastructure responsible for generating, ingesting, and processing petabytes of data
—over 250 billion events per day
—used across Reddit by teams like Ads, Machine Learning, and Data Science. This is a high-impact, technically complex role where your leadership will drive reliability, scalability, and innovation in one of Reddit’s most critical data systems. You’ll partner closely with teams across the company and work at the center of Reddit’s real-time and batch data ecosystem. Experience managing high-performing engineering teams and building distributed systems at web scale is key to success in this role.

• 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.

• 2-4 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.
• Experience in Go, Kubernetes, Flink, Kafka, Big Query is a huge plus.
• BS degree in Computer Science, similar technical field of study or equivalent practical experience.

• 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

#LI-Remote #LI-YK1

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.

-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base pay…