Engineering Manager, Ranking Platform
Reddit · Remote - United States
About this role
## About Reddit Reddit is a community of communities—built on shared interests, passion, and trust. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information: https://www.redditinc.com/ --- ## Team: Ranking Platform The Ranking Platform team builds and runs the services that coordinate contextualized and personalized ranking on Reddit. We build infrastructure including: - A scatter-gather ranking coordination service - Feature indexes - Scalable data pipelines powering personalized feeds, search, and other Reddit products We partner closely with: - Machine learning engineers who develop and productionize models - ML Platform teams that build inference/training services and feature stores Our mantra: **“Intention over Attention.”** We help users fulfill their intention for visiting Reddit by connecting them with relevant content and communities. --- ## How You’ll Have Impact As **Engineering Manager for Ranking Platform**, you will lead the team building a robust, scalable, reliable, and performant ranking and indexing platform. You’ll 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. You’ll be accountable for the team’s health, growth, execution, and operational excellence, balancing new capabilities with reliability, latency, and infrastructure cost. --- ## What You’ll Do - **Lead:** Set direction and roadmap with senior engineers; select and deliver high-impact initiatives across ranking coordination services, ML indexes, and data pipelines. - **Build:** Hire, onboard, and develop a high-performing engineering team; set expectations, provide feedback, manage performance, and create growth opportunities. - **Amplify:** Coach engineers and technical leaders; delegate meaningful ownership; 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. - **Operate:** Drive operational excellence via incident response, blameless postmortems, observability, safe rollouts, and proactive hardening. - **Collaborate:** Partner with Feed, Search, Ads, ML Platform, and infrastructure teams to align roadmaps and resolve competing requirements. - **Evolve:** Guide architectural improvements and best practices to make ranking systems more efficient, maintainable, and scalable. --- ## What We’re Looking For - **5+ years** of people management experience leading high-performing engineering teams (hiring, coaching, career development, performance management) - **7+ years** building large-scale backend distributed systems; substantial experience developing and shipping production software - Experience leading teams or major initiatives in **ML infrastructure**, recommendation/ranking systems, indexing, or streaming/batch data pipelines - Strong technical judgment in high-throughput platform services and APIs; ability to guide tradeoffs across reliability, latency, scalability, data freshness, and cost - Track record defining technical direction and delivering platform initiatives across multiple quarters and teams with measurable outcomes - Experience improving production operations (deployment automation, monitoring, diagnos
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