You will design and maintain analytical data models while maturing transformation frameworks like dbt to ensure data quality and consistency. You will also partner with cross-functional teams to define metrics and enable developers to effectively utilize the data platform.
You will develop and maintain Databricks-based data pipelines while establishing robust data modeling patterns and medallion architecture standards. Additionally, you will focus on data governance, quality, and building scalable serving patterns for downstream analytical datasets.
You will lead the strategic vision for measurement frameworks, testing agendas, and automated reporting solutions for clients. Additionally, you will perform marketing analytics consultations and collaborate with cross-functional teams to drive data-informed client objectives.
The Head of Revenue Operations will build and scale the operating system for the go-to-market organization, owning strategy, planning, and systems end-to-end. This role involves partnering across departments to implement AI-driven automation and provide strategic insights for executive leadership.
The role is responsible for sourcing a B2B pipeline by targeting technical executives and managing complex deal cycles through product demos and POCs. It also involves partnering with Sales Engineering and Customer Success to drive post-sale expansion and renewals.
The role is responsible for sourcing a B2B pipeline by targeting technical executives and managing complex deal cycles through product demonstrations and POCs. It also involves partnering with Sales Engineering and Customer Success to drive post-sale expansion and renewals.
