Engineering Manager-Database Platform
Ditto- Full Time
- Senior (5 to 8 years)
Candidates should have 2-4 years of experience in an engineering management or senior technical leadership role. A working knowledge of database internals and experience with C/C++ is required. Demonstrable experience leading software development teams delivering database systems or similar products is essential, along with excellent communication, collaboration, and organizational skills. A proven ability to translate technical details into strategic business outcomes is also necessary. Experience with TimescaleDB and knowledge of PostgreSQL and the extensions ecosystem are nice to have.
As Engineering Manager, you will manage and mentor a team of engineers, fostering a culture of continuous improvement and collaboration. You will oversee ongoing projects and the status of upcoming releases of TimescaleDB, collaborating with product management to define product roadmaps and priorities. Additionally, you will liaise with stakeholders across the organization to connect business goals with the teams’ goals, participate in interviewing engineers, and represent the team within the company and in customer calls.
Time series data management and analytics
Timescale specializes in managing time series data through its main product, TimescaleDB, which is an open-source database designed to efficiently handle large volumes of data points collected over time. Built on PostgreSQL, TimescaleDB offers reliable performance and operational efficiency. The company serves various industries, including IoT and financial services, enabling clients to analyze and gain insights from time series data for improved decision-making and automation. Timescale differentiates itself by providing both on-premise and cloud-based solutions, along with a freemium model that allows users to access the core product for free while offering premium features and enterprise support for revenue. The goal of Timescale is to enhance how businesses manage and analyze time series data, making it easier and more effective for organizations to leverage their data.