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Analytics Engineering Team Lead

Airslate

RemoteFull-time

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About the role

Airslate is seeking an Analytics Engineering Team Lead to oversee their Data Enablement team, which focuses on data modeling and preparation for business and AI applications. The role involves leading analytics engineers and web analytics specialists, managing the semantic layer, and transforming raw product and event data into reliable, well-documented datasets. Candidates should possess hands-on leadership experience and a strong background in analytics engineering. The position is fully remote, allowing for flexibility in work arrangements. This role is ideal for individuals who thrive in dynamic environments and are eager to contribute to product development and company growth. Airslate is a global SaaS company known for its no-code workflow automation and document management solutions, serving a vast user base worldwide. The company values innovation and is in a phase of significant growth, with a diverse team spread across multiple countries.

The advert

About airSlate airSlate is a global SaaS technology company that develops no-code workflow automation, electronic signature, and document management solutions. Our award-winning products - SignNow, pdfFiller, DocHub, altaFlow, Instapage, and US Legal Forms - serve over hundreds of millions of users and more than one million customers worldwide, helping organizations of every size digitize processes, improve efficiency, and transform how they work. We’re in an exciting phase of growth and transformation, with teammates in more than 20 countries across three continents and main hubs in the United States, Poland, Ukraine and Philippines. At airSlate, we’re building value for customers and a culture where growth and innovation go hand in hand. We’re looking for people eager to shape products, scale a company, and thrive in a fast-moving environment. We are looking for a hands-on leader to run Data Enablement. The team that owns how our data is modeled, trusted, and made ready for the business and for AI. You will lead analytics engineers and web analytics specialists, own the semantic layer end-to-end, and turn raw product and event data into curated, well-documented datasets that people can rely on.

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