Revenue Operations Lead
PerformYard- Full Time
- Junior (1 to 2 years)
Timescale empowers businesses with real-time insights from their data, allowing them to make faster decisions and optimize operations. They are creating a movement to unblock developers who are building the future. Timescale is a product-led growth organization driven by transparent leaders and a globally diverse, remote-first team.
As a Sales Operations Lead at Timescale, you’ll help architect the future of their go-to-market motion, partnering closely with Sales Leadership, Revenue Operations, and the CRO to shape strategy, drive execution, and maximize impact. This isn't a role where you manage dashboards or admin tools. They’re looking for a strategic operator: someone who thrives in high-growth environments and understands the nuance of Product-Led Growth (PLG) and consumption-based models. You’ll sit at the heart of the sales team, translating data into action, strategy into process, and blockers into momentum.
Reporting to our Head of Revenue Operations and working hand-in-hand with their GTM leaders, this is a key role in ensuring their sales team scales intelligently, efficiently, and with purpose.
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.