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A leading AI-driven creative technology firm is seeking a Product Analytics Expert to build and own the metrics framework essential for data-driven growth. Responsibilities include translating user behavior into actionable insights, collaborating with cross-functional teams, and conducting quantitative research. Candidates should have 5+ years of experience in product analytics and a strong academic background in quantitative fields. The role offers a comprehensive benefits package including stock options and flexible hybrid working arrangements.
Lightricks, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, Lightricks is dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
Lightricks products bring together intuitive design, innovative technology, and creativity. We have more than 30M global users who use our tools and services to create, enhance and promote their content and creations. Our Product team focuses on understanding and meeting the needs of our existing and new users, growing our products to continue being the market leader, and reaching company goals for growth and expansion.
The Product Data team at Lightricks is the engine behind our product experience. Through understanding user behavior, we can analyze their content creation journey and leverage this data to continuously enhance our tools and services. The team transforms abstract questions into quantifiable metrics and back into a story to make data driven decisions. Using statistical tools and deep analysis methods we are able to find some treasures and needle-moving insights within our data.
We are looking for someone who is not afraid of diving into new areas and challenges, thinks outside the box, and knows how to take a business challenge and transform it into data points and vice versa.