Director of Customer Success
paytroniz- Full Time
- Senior (5 to 8 years)
Candidates should possess 5+ years of experience leading Customer Success in a high-growth B2B SaaS company, preferably with a technical product, with bonus points for experience in developer tools or database technologies. They should be familiar with technical products and users, with a strong understanding of databases, particularly Postgres or SQL.
As the Head of Customer Success, you will architect and execute the long-term vision for the Customer Success organization, including segmentation, engagement models, and customer journeys. You will lead and grow a team of Customer Success Managers, fostering a culture of ownership, innovation, and a focus on outcomes, while also acting as the voice of the customer across the business by partnering with Sales, Marketing, Product, and Engineering. Furthermore, you will build systems and processes that scale with the company while remaining agile, drive adoption, satisfaction, retention, and expansion, and champion key metrics and customer health reporting to provide visibility at the executive level, and bring creativity to service customer value.
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.