Engineering Manager, Ranking Platform

Quick Facts

• Role: Engineering Manager for Ranking Platform

• Focus: Ranking coordination services, ML indexes, and scalable data pipelines for personalized feeds and discovery

Description

You will lead a team building a robust, scalable, reliable, and performant ranking and indexing platform. You’ll translate product and ML needs into a clear platform strategy and deliver it from ideation through production, while balancing reliability, latency, data freshness, and infrastructure cost.

Responsibilities

• Lead the team’s direction and roadmap; scope and deliver high-impact initiatives across ranking coordination, ML indexes, and data pipelines

• Build and grow the team through hiring, onboarding, coaching, and performance management

• Delegate meaningful ownership and coach technical leaders; maintain a culture of technical excellence and knowledge sharing

• Deliver multi-quarter platform investments into achievable milestones; manage dependencies, risks, and tradeoffs

• Drive operational excellence: incident response, blameless postmortems, observability, safe rollouts, and proactive hardening

• Collaborate with Feed, Search, Ads, ML Platform, and infrastructure teams to align roadmaps and resolve competing requirements

• Evolve architecture and engineering best practices to improve efficiency, maintainability, and scalability; enable experimentation with high production readiness

Requirements

• 5+ years of people management experience leading high-performing engineering teams (hiring, coaching, career development, 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; ability to balance 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 through deployment automation, monitoring, system diagnosis, incident management, and reliability engineering

• High empathy; strong organizational and communication skills; ability to build consensus and explain technical decisions to technical and non-technical audiences

• Experience with Go or Python

• Experience with Kubernetes, Docker, AWS or GCP; data systems such as Redis, Postgres, Memcached, Solr, or Milvus; and streaming frameworks such as Apache Beam or Flink

• BS 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 (workspace, professional development, caregiving support)

• Family planning support and gender-affirming care

• Mental health & coaching benefits

• Flexible vacation and paid volunteer time off

• Generous paid parental leave

• Pay transparency: base salary range $230,000–$322,000 USD, with potential equity and, depending on the role, commission