[Hiring] Engineering Manager @Reddit

Role Description

As Engineering Manager for Ranking Platform, you will lead the team building a robust, scalable, reliable, and performant ranking and indexing platform. You will partner with senior engineers, backend architects, product managers, and ML leaders to translate product needs into a clear platform strategy and deliver it from ideation through production.

• Accountable for the team’s health, growth, execution, and operational excellence.
• Guide architecture and investment decisions with technical leaders.
• Improve the experience of teams building on the platform.
• Balance new capabilities with reliability, latency, and infrastructure cost.

What You’ll Do

• Lead: Set the team’s direction and roadmap with senior engineers and partner teams. Select, scope, and deliver high-impact initiatives that evolve the ranking coordination services, ML indexes, and data pipelines supporting Reddit’s feeds and discovery experiences.
• Build: Hire, onboard, and develop a high-performing engineering team. Set clear expectations, provide actionable feedback, manage performance, and create growth opportunities for engineers at different career stages.
• Amplify: Coach engineers and technical leaders, delegate meaningful ownership, and build a culture of technical excellence, inclusion, and knowledge sharing.
• Deliver: Turn multi-quarter platform investments into achievable milestones. Manage dependencies and risks, communicate tradeoffs and progress, and adapt priorities as partner and business needs evolve.
• Operate: Drive operational excellence through incident response, blameless postmortems, observability, safe rollouts, and proactive system hardening.
• Collaborate: Build strong partnerships with Feed, Search, Ads, ML Platform, and infrastructure teams.
• Evolve: Guide architectural improvements and engineering best practices that make ranking systems more efficient, maintainable, and scalable.

Qualifications

• 5+ years of people management experience leading high-performing engineering teams.
• 7+ years of experience building large-scale backend distributed systems.
• Experience leading teams or major initiatives in ML infrastructure, recommendation or ranking systems, indexing, or streaming and batch data pipelines.
• Strong technical judgment in high-throughput platform services and APIs.
• A track record of defining technical direction and delivering platform initiatives across multiple quarters and teams.
• Experience improving production operations through deployment automation, monitoring, system diagnosis, incident management, and reliability engineering.
• High empathy, excellent organizational and communication skills.
• Experience with Go or Python; Kubernetes, Docker, AWS, or GCP; data systems such as Redis, Postgres, Memcached, Solr, or Milvus; and streaming frameworks such as Apache Beam or Flink is a plus.
• BS degree in Computer Science, a similar technical field, or equivalent practical experience.

Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• 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
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave