Engineering Manager, Ranking Platform

Details

Reddit's Ranking Platform team builds and operates services that coordinate contextualized and personalized ranking across Reddit. The team develops infrastructure including scatter-gather ranking coordination services, feature indexes, and scalable data pipelines that power personalized feeds, search, and other Reddit products. The team partners closely with machine learning engineers who develop and productionize models, as well as ML Platform teams responsible for inference and training services and feature stores.

Responsibilities

• Set the team's direction and roadmap with senior engineers and partner teams.
• Select, scope, and deliver initiatives involving ranking coordination services, ML indexes, and data pipelines supporting Reddit's feeds and discovery experiences.
• Hire, onboard, and develop a high-performing engineering team.
• Set expectations, provide feedback, manage performance, and create growth opportunities for engineers at different career stages.
• Use feedback from engineers and platform adoption patterns to guide investment.
• Coach engineers and technical leaders, delegate ownership, and build a culture of technical excellence, inclusion, and knowledge sharing.
• Remove blockers, reduce unnecessary interruptions, and protect engineers' focus time.
• Turn multi-quarter platform investments into achievable milestones while managing dependencies, risks, tradeoffs, and priorities.
• Drive operational excellence through incident response, blameless postmortems, observability, safe rollouts, and proactive system hardening.
• Establish reliability and performance goals and plan realistically for on-call work and unexpected requests.
• Partner with Feed, Search, Ads, ML Platform, and infrastructure teams to align roadmaps and resolve competing requirements.
• Guide architectural improvements and engineering best practices that make ranking systems more efficient, maintainable, and scalable.
• Support experimentation, continuous learning, production readiness, simplification, and consolidation where appropriate.

Requirements

• 5+ years of people management experience leading high-performing engineering teams, including hiring, coaching, career development, and performance management.
• 7+ years of experience building large-scale backend distributed systems, including substantial experience developing and shipping production software.
• 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, including tradeoffs among reliability, latency, scalability, data freshness, and cost.
• Experience defining technical direction and delivering platform initiatives across multiple quarters and teams with clear prioritization and measurable outcomes.
• Experience improving production operations through deployment automation, monitoring, system diagnosis, incident management, and reliability engineering.
• High empathy, excellent organizational and communication skills, and the ability to build consensus across engineering and product teams.
• Ability to explain complex technical decisions to technical and non-technical audiences and lead effectively in a distributed environment.
• 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.
• Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.

Benefits

• Comprehensive healthcare benefits and income replacement programs.
• 401(k) with employer match.
• Global benefit programs supporting workspace, professional development, and caregiving.
• Family planning support.
• Gender-affirming care.
• Mental health and coaching benefits.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave.
• Equity in the form of restricted stock units; depending on the position offered, the role may also be eligible for commission.

Additional Information

Interviews for select roles and locations may be recorded, transcribed, and summarized by artificial intelligence, with an option to opt out before scheduled interviews. Reddit is an equal opportunity employer and provides reasonable accommodations for qualified individuals with disabilities and disabled veterans.