Do you want to help Adobe enable Creativity for All? The Spark team is an ambitious Product-Led Growth effort that functions as a startup within Adobe to build best-in-class, next generation experiences on web and in mobile apps.
You will build an end-to-end understanding of the customer experience and then act on opportunities through rapid iterative testing with a growth mindset and spirit.
Your mantra is to remove friction and challenge mental models in order to deliver significant improvements to the user experience.
You will partner with Spark engineering, design, research, data, and marketing teams to implement with precision and approach and solve problems strategically.
Product-Led Growth governs this approach : test, learn, iterate, with in-product experiences as the focus.
Achieve proficiency in the Spark end-to-end customer experience for both web and mobile users in key markets worldwide; the specific focus of this role is on driving conversion to trial and paid subscription.
Lead execution across multiple surfaces at a high level of excellence, demonstrating measurable results in the % of users who begin a trial and convert to a paid subscriber.
Demonstrate fluency across multiple growth functions; able to diagnose the health of a product monetization funnel, gain practical insights, and deliver value to customers on an ongoing basis.
Drive and coach internal and the broader external teams on the complete lifecycle of a test from hypothesis, concept, design, launch, analysis of results, and next steps.
Define, translate, and effectively communicate near and long-term roadmaps.
Champion best practices, using scientific methodology, influence across large matrixed organizations, and tests across customer experience steps and surfaces.
Share out weekly, monthly and quarterly reports on the state of monetization that quantify impact, identify trends, and encapsulate key initiatives.
At least 5 years of Product Management experience with an emphasis on testing and responsibilities driving user monetization in-product.
Demonstrated ability to harness technology for personalization at scale : using APIs, machine-learning models, cross-platform experiences, and behavioral data to drive growth.
Experience creating and leading cross-functional teams built around driving data-informed hypotheses that will power experiment design and findings.
Experience scaling operations to ensuring adherence to a thorough experimentation methodology and detailed execution that is sustainable.