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, and previous experience with ClickHouse or related OLAP technologies, demonstrated through confirmed SQL skills. A strong understanding of developer-related integrations, such as language clients and SDKs, is also desired. Applicants should demonstrate an entrepreneurial spirit and a track record of delivering results in fast-moving environments, along with comfort working with ambiguity and evolving based on business needs.
The Product Manager will drive the long-term vision and iterative evolution of ClickPipes, conducting product planning exercises and aligning stakeholders to pursue goals. They will work closely with strategic enterprise customers to ensure their success, establish a continuous feedback loop, and conduct enablement of the field teams. Additionally, the Product Manager will engage with the ClickHouse user community by driving product blogs, representing ClickHouse at conferences, and maintaining a presence on social media, all while identifying key data sources and translating requirements into clear integration priorities and projects.
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.