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Engineering Manager - China

Clickhouse
2 months ago
Full-time
Remote
Worldwide
Remote Engineering

About ClickHouse

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.

The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.

We’re on a mission to transform how companies use data. Come be a part of our journey!

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