Engineering Manager, Ranking Platform

Quick Facts

• Role: Engineering Manager for Ranking Platform

• Focus: Ranking coordination services, feature indexing, and scalable data pipelines for personalized feeds and discovery

Description

You will lead a team that delivers a robust, scalable ranking and indexing platform for contextualized, personalized ranking. You’ll partner with senior engineers, backend architects, product managers, and ML leaders to translate product needs into platform strategy and ship from ideation through production. You’ll be accountable for team health, growth, execution, and operational excellence while balancing new capabilities with reliability, latency, and infrastructure cost.

Responsibilities

• Lead: Set team direction and roadmap; scope and deliver high-impact initiatives that evolve ranking coordination services, ML indexes, and data pipelines.

• Build: Hire, onboard, and develop engineers; set expectations, manage performance, and create growth opportunities.

• Amplify: Coach engineers and technical leaders; delegate ownership; build technical excellence, inclusion, and knowledge sharing culture.

• Deliver: Turn multi-quarter platform investments into achievable milestones; manage dependencies and risks; communicate tradeoffs and progress.

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

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

• Evolve: Improve architecture and engineering best practices for efficiency, maintainability, and scalability; enable experimentation with strong 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; substantial experience developing and shipping production software

• Experience leading teams/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 across reliability, latency, scalability, data freshness, and cost

• Track record of defining technical direction and delivering platform initiatives across multiple quarters and teams

• Experience improving production operations through deployment automation, monitoring, system diagnosis, incident management, and reliability engineering

• Excellent organizational and communication skills; ability to explain complex decisions to technical and non-technical audiences and build consensus

• Go or Python experience

• Kubernetes and Docker experience

• AWS or GCP experience

• Data systems experience (Redis, Postgres, Memcached, Solr, Milvus) and streaming frameworks experience (Apache Beam, Flink) is a plus

• BS in Computer Science or 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

• Equity eligibility via restricted stock units; possible commission depending on role