Engineering Manager - Ads Data Platform

Reddit is seeking an Engineering Manager for the Ads Data Platform team. This role involves leading a team of infrastructure engineers to build a performant, reliable, and efficient platform for collecting, storing, managing, and analyzing Reddit Ads data. The manager will drive the team's mission through unification, centralization, and optimization strategies, focusing on data infrastructure, reliability, and efficiency. Responsibilities include coaching, hiring, leading the team, defining the infrastructure roadmap, fostering data-informed decisions, and collaborating with cross-functional teams.

Must Have

• Coach, Motivate, Build, Hire, and Lead a world-class team of passionate Infrastructure engineers
• Lead, coordinate, and execute a coherent vision for a ruthlessly prioritized infrastructure roadmap
• Set and support a culture of data-informed decision making, with efficient processes and strong transparency
• Facilitate the collaboration between different product/vertical teams and partner/core platform teams
• Participate in design and coding reviews to ensure quality, performance, and best practices
• Collaborate with cross-functional team leads to translate business requirements into technical directions
• 8+ years of industry experience as a SWE
• 3+ years managing engineering teams (coaching, mentoring, developing)
• 2+ years in tech lead capacity for systems & architecture design
• Experience with at least two general programming languages such as Python, Go, Scala, Java, C++

Good to Have

• Experience managing data-focused teams
• Experience with Ads
• Experience with Technical Program Management
• Industry relevant or scientific contribution in DevOps, Infrastructure, High scalability/Big Data systems
• Experience with Message Queuing Services (Kafka, Amazon Simple Queue Service)
• Experience with Data Processing Frameworks (Apache Spark, Apache Flink)
• Experience with Key Value Stores (Redis, DynamoDB, Memcached, Riak)
• Experience with Document based DBs (MongoDB, Cassandra)
• Experience with Container Orchestration (Kubernetes, Mesos)
• Experience with ML Ops ((ML | Tensor | Kube)flow)

Perks & Benefits

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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, users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 116 million daily active unique visitors, it is one of the internet’s largest sources of information. For more information, visit www.redditinc.com

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Our mission is to bring community and belonging to everyone in the world. A community of communities where people can dive into anything through experiences built around their interests, hobbies, and

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

We are continuing to grow our teams with the best talent. This role offers flexibility and is remote-friendly, However, it is important that the candidate is based in the proximity of the SF Bay Area office (Pacific time) or the NYC office (Eastern time).

Ads Data Platform team’s mission is to build a performant, reliable and efficient platform and end-user tools for the collection, storage, management, and analysis of Ads data to support data-intensive applications and data-driven decisions at scale. We are aiming to integrate and simplify the data usage patterns across Ads, remove redundancies/fragmentation, centralize reusable components/tools, drive adoption of shaped core-infra owned services/design patterns, leading to more efficient Ads data systems and higher developer velocity.

In pursuit of the team mission, we follow a 3 pronged strategy:

• Unification: Identify and unify/simplify different data usage/integration patterns that are trying to do the same thing, but ownership is fragmented. For e.g. enrichment of a dataset, different teams enrich the same dataset, for their product requirements or different teams are trying to set up similar data processing tools.
• Centralization: Based on the simplification of data usage patterns, tease out the reusable tools/components, and build/own them for the entire Ads engineering. Reuse core-infrastructure supported tools/services. For e.g. for batch data processing, spark hosted on kubernetes, instead of each team bootstrapping their own spark instances, Data Platform owns the spark infra horizontally.
• Optimization: Focus on efficiency, both on development life-cycle and resource usage. Drive adoption and migration towards a more optimized data infrastructure, for all of Ads engineering.

Key guiding principles, that we adhere to, as we evolve the data infrastructure for Ads:

• Build on top of Core Infrastructure, avoiding duplication of effort. Explore/facilitate hand-over of services/components, as the scope of usage expands outside of Ads.
• Ensure shaped architecture, following the best practices shared by DevX and Core Infrastructure
• Look to the open source world: there are a lot of good resources for data infrastructure in the open source community and we try to adopt those systems
• Prefer in-house solutions, over vendor provided infrastructure solutions, as far as possible. Deviations should have a good cost or business driven reason.
• Scalability and Reliability are central to our services. We constantly balance the business needs for speed against architecting a more reliable and scalable infrastructure.
• Efficiency, all our architecture and design, is done with efficiency and machine costs in mind.

Strategic Focus Areas

• Data Infrastructure

• Platform and tools for the collection, storage, management, and analysis of Ads data

• Reliability & Efficiency

• Reliability: Systems maturity: measurement and tracking
• Reliability: Developer efficiency and reduction of operational burden
• Efficiency: Efficient and scalable Ads foundation

What we own

• Reliability & Efficiency

• Ads Marketplace level KPI monitoring framework (ReMeDe/MMS)
• Big Query Ads project management/slot usage for Ads
• Optimal data storage/db for DS owned Ads DW
• AWS & GCP usage, observability, costs, allocations, optimization

• Data Infrastructure

• Spark on kubernetes
• Kafka Connect (s3/GCS writers)
• Ads Airflow
• Anomaly detection framework
• Data Integration tools (SFDC Data Integrator etc)
• Apache druid database hosted on kubernetes
• Enable druid integration with Ads services like billing/pacing/reporting
• Druid ingestion pipelines (real time and batch)
• Data Access Control

We are looking for a seasoned Engineering Manager with industry-relevant platform or infrastructure expertise to lead the Ads Infrastructure team with engineers spread across US East & West coast

Responsibilities

• 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
• 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

Required Qualifications:

• 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

Preferred Qualifications:

• Experience managing data-focused teams
• Experience with Ads
• Experience with Technical Program Management
• Industry relevant or scientific contribution in the field of DevOps, Infrastructure, High scalability/Big Data systems

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is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.