Reddit

Engineering Manager, Data Pipeline

United States

Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Social Media, BiotechnologyIndustries

About Reddit

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.

About the Core Platform Organization

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.

Engineering Manager, Data Pipeline

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

Pay Transparency

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.

Skills

Data Pipelines
Distributed Systems
Scalability
Reliability
Cloud Computing
AWS
GCP
Kubernetes
Data Ingestion
Data Processing
Real-time Data
Batch Data
Team Leadership
Mentoring
Hiring
Data Governance

Reddit

Online platform for community discussions and content

About Reddit

Reddit is an online platform that allows users to post, vote, and comment on content within various communities based on shared interests. Users can engage in discussions on a wide range of topics, from news and sports to entertainment and hobbies. The platform features a unique voting system where content can receive upvotes or downvotes, helping the most popular posts gain visibility. Reddit generates revenue primarily through advertising, premium memberships, and the sale of virtual goods like Reddit Coins. Unlike many other social media platforms, Reddit emphasizes community-driven content and discussions, creating a space for authentic interactions among users. The goal of Reddit is to foster engagement and connection among its diverse user base.

San Francisco, CaliforniaHeadquarters
2005Year Founded
$1,177.1MTotal Funding
IPOCompany Stage
Consumer Software, EntertainmentIndustries
1,001-5,000Employees

Benefits

Comprehensive health benefits
Flexible unlimited vacation days & monthly global wellness days
Family planning funds & 4+ months paid parental leave
Personal & professional development funds
Paid volunteer time off
Workspace & home office benefits

Risks

Reliance on advertising revenue faces competition from platforms like TikTok and Instagram.
AI tools like 'Reddit Answers' may raise privacy and data usage concerns.
NFT market expansion exposes Reddit to volatility and regulatory scrutiny.

Differentiation

Reddit's unique voting system promotes engaging and authentic content discovery.
The platform's diverse communities cater to a wide range of interests and discussions.
Reddit's AI-powered tools enhance user experience and content moderation.

Upsides

Reddit's confidential IPO plans signal potential growth and market expansion.
AI-driven content moderation can improve user safety and platform reliability.
Expansion into blockchain and NFTs opens new revenue streams and user engagement.

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