Engineering Manager, Data Pipeline

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.

What you'll do:

• 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.

What we’re looking for:

• 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, BigQuery is a huge plus.
• BS degree in Computer Science, similar technical field of study or equivalent practical experience.

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

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