Engineering Manager, Ranking Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Define the team's strategic direction and roadmap in collaboration with senior engineers and partner teams.

• Identify, scope, and implement initiatives related to ranking coordination services, machine learning indexes, and data pipelines.

• Recruit, onboard, mentor, and manage the performance of engineering team members.

• Maintain regular feedback loops with platform engineers and guide investment decisions based on feedback and user adoption.

• Foster a culture of technical excellence, inclusion, and knowledge sharing by delegating ownership.

• Remove obstacles, safeguard focused work time, and ensure streamlined processes.

• Translate multi-quarter platform investments into achievable milestones.

• Manage dependencies and risks, communicate trade-offs and progress, and adjust priorities as needed.

• Promote operational excellence through incident response, blameless postmortems, observability, safe rollouts, and system hardening.

• Set reliability and performance objectives and plan for on-call responsibilities.

• Collaborate with Feed, Search, Ads, ML Platform, and infrastructure teams.

• Lead architectural enhancements and engineering best practices for efficient, maintainable, and scalable ranking systems.

⛳️ Requirements

• Over 5 years of experience in people management, leading high-performing engineering teams, including hiring, coaching, career development, and performance management.

• More than 7 years of experience in building large-scale backend distributed systems, with significant expertise in developing and deploying production software.

• Proven experience in leading teams or major initiatives in ML infrastructure, recommendation or ranking systems, indexing, or both streaming and batch data pipelines.

• Strong technical acumen in high-throughput platform services and APIs, balancing reliability, latency, scalability, data freshness, and cost considerations.

• Demonstrated history of defining technical direction and successfully delivering platform initiatives across multiple quarters and teams.

• Familiarity with deployment automation, monitoring, system diagnostics, incident management, and reliability engineering.

• High level of empathy, exceptional organizational and communication skills, consensus-building abilities, and capability to lead in a distributed environment.

• Proficiency in Go or Python; experience with Kubernetes, Docker, AWS, or GCP; knowledge of data systems such as Redis, Postgres, Memcached, Solr, or Milvus; and familiarity with streaming frameworks like Apache Beam or Flink is advantageous.

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.

🏝️ Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs.

• 401k with Employer Match.

• Global Benefit programs that align with your lifestyle, including workspace, professional development, and 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.

• Opportunity to opt-out of AI interview recording.