When trying to move a growth metric like retention, the number of experiments one could run is limitless. The reality is that resources are constrained, so we need to choose the experiment most likely to impact our metric. We are looking to answer this question, \u201cWhich experiments have the highest likelihood of increasing a growth metric?\u201d We are looking for someone with deep domain expertise in building machine learning based analytics tools who can answer this question for us. The scale of our data is massive, and we are looking for someone who is excited about that challenge. What you\u2019ll do Set the high-level mission, vision, and roadmap for the team Work closely with stakeholders across the product and business organization to understand how they decide what experiments to run, and how you can build product to aid them. Work with developers, designers, and QA to deliver on a best-in-class insights tool Who you are 4 years working in these areas: Product Management Building analytics tools, marketing automation, or growth products Running growth experiments to move core funnel metrics Machine learning Experience using marketing automation tools Deep experience with A\/B testing You have run hundreds of tests and have a clear perspective on what does and doesn\u2019t work You have a sharp product sense that allows you to determine what\u2019s important to focus on You care about agile software processes, data-driven development, and responsible experimentation You have a proven ability to influence decision-making at all levels within an organization, and in a variety of contexts You are a highly motivated and flexible individual with the ability to lead cross-functional teams and drive projects to successful and timely delivery We strongly believe that diversity of experience, perspectives, and background will lead to a better workplace and product. This is something we value deeply and encourage everyone to come be a part of changing the way the world listens to music.
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