Product Engineer - Product Analytics
PostHog- Full Time
- Junior (1 to 2 years)
Candidates should possess knowledge of data engineering markets, including data warehousing, data analytics, data science, business intelligence, and observability, along with confirmed SQL skills and previous experience with ClickHouse or related OLAP technologies. Strong communication skills, the ability to influence stakeholders, and comfort with ambiguity are also required.
The Product Manager will drive the long-term vision for ClickPipes, lead iterative evolution of the product through product planning exercises, establish a continuous feedback loop with customers, conduct enablement of field teams, and engage with the ClickHouse user community by driving product blogs and representing ClickHouse at industry events. They will also focus on identifying key data sources, understanding developer needs, and driving integration efforts across streaming, object storage, and other emerging data sources.
High-speed column-oriented database management system
ClickHouse provides a high-speed, column-oriented database management system designed for developers and businesses that manage large-scale data. Its primary product processes analytical queries quickly by storing data from the same columns together, making it significantly faster than traditional row-oriented databases, especially in Online Analytical Processing (OLAP) scenarios. ClickHouse stands out from competitors by offering a free, open-source database that can be deployed on local machines or in the cloud, along with a fully managed service on platforms like AWS, GCP, and Microsoft Azure. The company's goal is to deliver a cost-effective solution that simplifies data management for its clients, as evidenced by user feedback highlighting substantial cost savings.