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# Engineering Manager - Home Infrastructure NEW

- **Company:** Briefed Inc.
- **Location:** San Mateo, CA, United States
- **Experience:** Experienced
- **Salary:** $295,250.0 - $345,040.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), A/B Testing, Systems Engineering, C++ (Programming Language), Data Infrastructure, Distributed Systems, Fault Tolerance, Python (Programming Language), Machine Learning, Recommender Systems, Service-Oriented Architecture, Data Streaming, Feature Store, System Availability, Apache Spark, Backend, Low Latency, Apache Flink, Data Analytics, Performance Monitor, Apache Kafka, Machine Learning Operations, Front End Software Development, Marketplace, Stream Processing, Golang
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_e14f8576603928dfdc9a994d6dfa696f

## About the Role

* 3+ years of professional experience as an Engineering Manager or Tech Lead Manager (TLM), with a track record leading backend, data, ranking, recommendation, search, ads, or personalization engineering pods.
 * Distributed Systems Expertise: Deep technical foundation in high-throughput backend services, service-oriented architecture (SOA), data infrastructure, or ML-powered serving platforms.
 * High-Scale Consumer Systems: Experience managing teams that build and operate large-scale, high-availability consumer production systems.
 * Cross-Functional Execution: Demonstrated track record delivering complex, ambiguous technical initiatives across multiple partner organizations with measurable business impact.
 * People Management & Mentorship: Proven capability to coach engineers, grow technical leads, and scale inclusive engineering teams., * Experience architecting real-time feature stores, low-latency ML inference gateways, or graph-based recommendation systems.
 * Background in high-volume experimentation frameworks and online A/B testing infrastructure.
 * Technical familiarity with Go, Java, C++, Python, or modern data streaming stacks (Kafka, Flink, Spark).

## Description

* Engineering Team Leadership: Recruit, mentor, and grow a high-performing team of Backend and Data Engineers, fostering an engineering culture focused on technical excellence, operational health, and reliability.
 * Technical Strategy & Roadmap: Define and execute the multi-year technical roadmap for high-throughput content discovery, ML ranking pipelines, personalized recommendation servers, and real-time data streaming infrastructure.
 * Personalization-as-a-Platform: Drive strategic initiatives, including full-page personalization architectures, real-time user intent/signal pipelines, and end-to-end ranking observability.
 * Cross-Functional Collaboration: Partner closely with Machine Learning, Data Science, Product, Design, Frontend, Ads, Marketplace, Economy, Search, and Core Infrastructure teams to deliver measurable product gains.
 * High-Scale Operational Excellence: Ensure ultra-high availability, low-latency serving, and fault tolerance across systems handling billions of daily user interactions.
 * Data-Driven Experimentation: Guide product and system engineering decisions through rigorous A/B testing, system performance metrics, and data-backed evidence.