Engineering Manager – Ads Data Platform

November 13

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Reddit, Inc.

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B2C • Media • Social Impact

Reddit, Inc. is a social media platform that acts as a hub for thousands of communities, where users can engage in diverse conversations ranging from breaking news to niche interests. It enables users to post, comment, and vote on content, fostering a vibrant online community. Millions of people globally connect and share their passions on Reddit, creating a dynamic environment for authentic human interaction.

501 - 1000 employees

Founded 2005

👥 B2C

📱 Media

🌍 Social Impact

📋 Description

• Coach, Motivate, Build, Hire, and Lead a world-class team of passionate Infrastructure engineers with a knack for high scale/high performance data pipelines and storage systems • Lead, coordinate, and execute a coherent vision for a ruthlessly prioritized infrastructure roadmap based on business needs • Set and support a culture of data-informed decision making, with efficient processes and strong transparency • Facilitate the collaboration between the different product/vertical teams making use of Ads Infrastructure and the partner and core platform teams across Reddit • Participating in design and coding reviews: You will review work by your team members and provide feedback to ensure that it meets the team's standards for quality, performance and best practices • Collaborating with cross-functional team leads (EMs, PMs, DSs) to understand business requirements and translate them into technical directions for the Ads Infrastructure roadmap in conjunction with the rest of the Ads Foundations teams

🎯 Requirements

• 8+ years of industry experience as a SWE • 3+ years managing (including coaching, mentoring, developing) engineering teams • 2+ years in the capacity of tech lead in charge of systems & architecture design • Experience with at least two general programming languages such as Python, Go, Scala, Java, C++ • Preferred experience in one or more of the following areas: Message Queuing Services (Kafka, Amazon Simple Queue Service), Data Processing Frameworks (Apache Spark, Apache Flink), Key Value Stores (Redis, DynamoDB, Memcached, Riak), Document based DBs (MongoDB, Cassandra), Container Orchestration (Kubernetes, Mesos), ML Ops ((ML | Tensor | Kube)flow) • Excellent communication skills, both written and verbal, and the ability to work effectively with product managers, data scientists, and other stakeholders.

🏖️ Benefits

• Comprehensive Healthcare Benefits • 401k Matching • Workspace benefits for your home office • Personal & Professional development funds • Family Planning Support • Flexible Vacation (please use them!) & Reddit Global Wellness Days • 4+ months paid Parental Leave • Paid Volunteer time off