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ClickHouse, Inc. develops and supports the open-source ClickHouse OLAP database management system, designed for real-time analytics and generating analytical reports from large-scale data with high performance.
Established in 2009, ClickHouse leads the industry with its open-source column-oriented database system, driven by the vision of becoming the fastest OLAP database globally. The company empowers users to generate real-time analytical reports through SQL queries, emphasizing speed in managing escalating data volumes. Enterprises globally, including Lyft, Sony, IBM, GitLab, Twilio, HubSpot, and many more, rely on ClickHouse Cloud. It is available through open-source or on AWS, GCP, Azure, and Alibaba.
The Product Metrics team owns the collection, storage, and serving of metrics collected from customers' ClickHouse instances. As a part of the team you will be responsible for designing, building, operating and maintaining components of the petabyte-scale platform that stores trillions of records and processes millions of new events every second, owning its reliability, performance and availability. Our stack is built using Golang, runs in Kubernetes, and is, of course, stored in ClickHouse. The team’s responsibilities include gathering and processing data for the internal billing and accounting system as well as customer-facing dashboards that provide our customers with immediate insights and analytics. The Product Metrics system is specifically designed to prioritize delivery guarantees, precision, and accuracy in handling extensive data volumes. Its primary goal is to provide data that is both prompt and accurate, supporting reliable operational decisions and enhancing the overall customer experience.
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as Los Angeles, CA, the San Francisco Bay Area, CA, the Seattle, WA, Area, and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
As part of our first 500 employees, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
Full Time
Salary: 115k-200k USD
Learn more about Clickhouse and their company culture.
Our customers are frequently confronted with the challenge of analyzing massive volumes of data in real time. Traditional database management systems often struggle to keep pace with the speed and scale required for modern analytics, leading to delays in insights and decision-making. This is precisely why ClickHouse was developed: to provide an open-source, column-oriented OLAP database management system that empowers users to generate analytical reports using SQL queries with lightning speed. We understand that in today's data-driven world, the ability to process and analyze clickstream data, logs, and other event-based information instantaneously is not just a luxury, but a necessity for businesses to remain competitive and responsive. Our users need to perform complex analytical queries on petabytes of data and receive results in sub-second latencies, a feat that can be 100 to 1,000 times faster than conventional systems.
ClickHouse was engineered from the ground up to address these critical needs. Originating from a project at Yandex in 2009 to power their web analytics platform, the core idea was to enable real-time report generation from non-aggregated, constantly updating data. This means our customers can move beyond batch processing and unlock interactive data exploration, dashboards, and real-time monitoring. Whether it's for powering user-facing analytics in applications, conducting in-depth log analysis, building internal data warehouses for business intelligence, or enabling real-time analytics for IoT and financial services, ClickHouse provides a robust and efficient solution. We are committed to making this powerful technology accessible not just to tech-savvy internet giants, but to all enterprises looking to harness the full potential of their data. By offering ClickHouse Cloud, a secure and scalable serverless offering, we further simplify the adoption and management of real-time analytical processing, allowing our customers to focus on deriving valuable insights rather than managing complex infrastructure. Our goal is to ensure that when our customers face the deluge of ever-growing datasets, they have a reliable and extraordinarily fast tool to turn that data into actionable intelligence, driving innovation and operational excellence.
Learn about the tools and technologies that Clickhouse uses to build, market, and sell its products.
Employees can create an account to update this tech stack.
201-500 employees
2021
Aaron Katz, Alexey Milovidov
Salary: 160k-180k USD
Employee count: 5000+
Salary: 184k-253k USD
Salary: 124k-271k USD
Employee count: 201-500
Salary: 115k-164k USD
Explore the variety of open remote roles at Clickhouse, offering flexible work options across multiple disciplines and skill levels.
Employee count: 201-500
Salary: 150k-200k USD
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Onehouse provides a managed data lakehouse service built on open source technologies like Apache Hudi, Apache Iceberg, and Delta Lake, enabling fast data ingestion, efficient processing, and interoperability across various query engines.
Fast analytics with the friendly UX and integrated tooling to let your company explore data on their own.
Yugabyte is the company behind YugabyteDB, an open-source, high-performance distributed SQL database for building global, cloud-native applications.
StarTree is a cloud-based software company that enables business customers to derive advanced insights from real-time and historical data, powered by Apache Pinot.
Cloudera, Inc. is a leading American data lake software company providing a hybrid data platform that manages and analyzes data across any cloud environment.
CrateDB is a cutting-edge, distributed database that provides real-time analytics and hybrid search capabilities, enabling businesses to scale and manage diverse datasets efficiently.
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