Technical Support Manager
Ditto- Full Time
- Senior (5 to 8 years)
Candidates should possess proven experience managing technical support teams, particularly with developer tools, databases (Postgres or similar), cloud services, and/or AI-driven products, along with strong technical expertise in Postgres databases, cloud platforms (AWS, Azure, Google Cloud Platform), and ideally familiarity with containerization and AI technologies. Fluency in English is required, and experience engaging with open-source or developer communities related to databases, cloud technologies, or AI is preferred.
As the Technical Support Manager, you will lead, manage, and mentor a globally distributed Technical Support team providing support across databases, cloud infrastructure, and AI products in EMEA and APAC regions, ensuring timely and high-quality responses to customer technical inquiries, collaborating effectively with Engineering, Product, and Customer Success teams to escalate and prioritize critical product-specific issues, building and nurturing a collaborative team culture, driving continuous improvements in support processes and team capabilities, and enhancing customer satisfaction through proactive team leadership and strategic customer-focused initiatives.
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.