ClickHouse is seeking an engineering manager to lead our team of software engineers based in China who own our partnership with Alibaba Cloud.

Key Responsibilities

Build and lead a high-performing technical team in China, fostering a culture of technical excellence and customer obsession
Support Alibaba Cloud & ClickHouse partnership with deep technical expertise, driving integration, optimization, and go-to-market strategies
Lead enterprise customer POCs from architecture design to production deployment, translating business requirements into scalable technical solutions
Design PB-scale real-time data warehouse architectures , leveraging ClickHouse's exceptional performance for mission-critical workloads
Partner with global Sales, Product, and Engineering teams , representing customer needs and driving product innovation
Represent ClickHouse at technical conferences, meetups, and community events in China

Required Qualifications

Fluent English and Mandarin for seamless technical discussions with global teams and Chinese customers
Outstanding customer-facing communication skills with the ability to build trusted relationships at all organizational levels
Deep database expertise - internals, query optimization, distributed systems, OLAP technologies
Strong architecture design capabilities for large-scale, mission-critical data platforms
PB-scale real-time data warehouse hands-on experience building and operating production systems
Cloud-Native proficiency - solid experience with cloud-native architecture and infrastructure, with hands-on knowledge of at least one major cloud service provider (AWS, GCP, Azure, Alibaba Cloud)
Team leadership experience managing technical teams of 10+ engineers
8+ years in database/data warehouse/big data technologies
High level of responsibility, ownership, and accountability - thrives in a high-velocity environment with significant autonomy
Founder's mindset with a focus on impact, innovation, and delivering measurable results

ClickHouse community contributor - active participation through code, documentation, or advocacy
Experience with columnar databases (ClickHouse, Druid, Pinot) and real-time analytics systems
Kubernetes expertise - practical experience deploying and managing stateful applications on K8s at scale
Data engineering skills - strong background in ETL pipelines, data replication, CDC, and streaming platforms (Kafka, Flink, Spark)
Technical writing/speaking experience - blogs, conference presentations, technical documentation
Open-source contributions in the database or cloud-native ecosystem
Exceptional problem-solving skills with proven experience debugging complex production issues