Engineering Manager, Ranking Platform

Location: Remote - United States. Other location: San Francisco, CA, United States.

Base salary: $230,000–$322,000 USD annually, plus potential equity and commission depending on the position offered.

Company

Reddit is a community platform with more than 100,000 active communities and approximately 130 million daily active unique visitors.

What you will do

• Set the Ranking Platform team’s direction and roadmap for ranking coordination services, ML indexes, and data pipelines supporting feeds and discovery.
• Hire, onboard, coach, develop, and manage the performance of engineers while maintaining feedback loops with platform users.
• Deliver multi-quarter platform investments by managing milestones, dependencies, risks, tradeoffs, and changing priorities.
• Drive operational excellence through incident response, blameless postmortems, observability, safe rollouts, system hardening, and reliability goals.
• Partner with Feed, Search, Ads, ML Platform, infrastructure, product, and engineering teams to align roadmaps and improve platform adoption.
• Guide architectural improvements, experimentation, simplification, and engineering practices that make ranking systems more efficient, maintainable, and scalable.

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 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.
• Track record of defining technical direction and delivering multi-quarter platform initiatives across multiple teams with measurable outcomes.
• Experience improving production operations through deployment automation, monitoring, system diagnosis, incident management, and reliability engineering.
• High empathy, strong organizational and communication skills, and the ability to build consensus and explain complex technical decisions to technical and non-technical audiences in a distributed environment.
• BS degree in Computer Science, a similar technical field, or equivalent practical experience.

Nice to have

• Experience with Go or Python; Kubernetes, Docker, AWS, or GCP; Redis, Postgres, Memcached, Solr, or Milvus; and Apache Beam or Flink.

Culture & Benefits

• Culture focused on impact, personal growth, openness, kindness, technical excellence, inclusion, and knowledge sharing.
• Comprehensive healthcare benefits, income replacement programs, and global benefits for workspace, professional development, and caregiving.
• 401(k) with employer match, flexible vacation, paid volunteer time, and generous paid parental leave.
• Family planning support, gender-affirming care, and mental health and coaching benefits.
• Base salary ranges are provided for US-based roles; the position may include restricted stock units and, depending on the level, commission.

Hiring process

• Some interviews may be recorded, transcribed, and summarized by AI; candidates can opt out before scheduled interviews.
• Interview recordings are deleted promptly after a hiring decision, subject to the stated candidate privacy policy.