Engineering Manager, Ranking Platform

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $230k - $322k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

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📋 Description

• 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 • Hire, onboard, develop, coach, and manage performance for engineering team members • Maintain feedback loops with engineers using the platform and guide investment based on feedback and adoption • Delegate ownership and build a culture of technical excellence, inclusion, and knowledge sharing • Remove blockers, protect focus time, and keep processes lightweight • Turn multi-quarter platform investments into achievable milestones • Manage dependencies and risks, communicate tradeoffs and progress, and adapt priorities • Drive operational excellence through incident response, blameless postmortems, observability, safe rollouts, and system hardening • Establish reliability and performance goals and plan for on-call work • Partner with Feed, Search, Ads, ML Platform, and infrastructure teams • Guide architectural improvements and engineering best practices for efficient, maintainable, scalable ranking systems

🎯 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, balancing reliability, latency, scalability, data freshness, and cost • Track record of defining technical direction and delivering platform initiatives across multiple quarters and teams • Experience with deployment automation, monitoring, system diagnosis, incident management, and reliability engineering • High empathy, excellent organizational and communication skills, consensus building, and ability to lead 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 • 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 • Equity in the form of restricted stock units • Medical, dental, and vision insurance • AI interview recording opt-out opportunity

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