• Development and prioritization of a clear product vision and roadmap for our content management system and channel manager • Translating customer feedback and internal requirements into clear, actionable user stories and epics • Proactively collecting and analyzing customer feedback and identifying new market opportunities • Close collaboration with customers, internal teams (tech, sales, support) and other stakeholders to validate and implement requirements • Using data analytics to inform product decisions and measure the success of new features • Responsible for backlog management and close cooperation with the development team in the Scrum process • Supporting the definition of acceptance criteria and ensuring product quality

• Define the strategy and roadmap for key subscriber growth initiatives, focusing on applying AI/ML in the right places balancing business goals, ROI and technical feasibility • Deeply understand business metrics and user behavior, leading to well-researched hypotheses for testing and future AI/ML development • Lead end-to-end product development from problem definition through system deployment and adoption, working across research, engineering, and business teams • Drive experimentation programs that rigorously test ML-powered features against baselines, making data-informed decisions about when to scale AI-driven experiences • Collaborate with engineers and data scientists on technical decisions to drive innovation and impact • Build products at scale that impact hundreds of millions of users across diverse markets, considering localization, infrastructure constraints, and varying user contexts • Stay current with AI and ML technology trends, looking for opportunities to match with key business objectives

• Set the product vision and multi-quarter strategy for ML- and AI-driven subscriber growth • Own a portfolio of initiatives end-to-end, aligning multiple squads and stakeholders • Develop data signal sourcing, data platform capabilities, and model validation • Turn behavioral and revenue signals into hypotheses and drive an experimentation roadmap • Establish measurement practices and ensure we scale what demonstrates durable lift • Drive lifecycle and personalization strategies that balance user value and revenue outcomes • Partner with pricing and packaging stakeholders to design experiments for monetization • Ensure production readiness for ML-backed experiences and communicate insights to leadership

• Collaborate with Product Managers to formulate our product vision, strategy, and roadmap. • Own the product backlog, balancing conflicting priorities to determine prioritization. • Own the release planning and sprint planning processes, including setting release and sprint goals, and successfully delivering on those goals. • Provide an active role in mitigating risks and issues impacting successful team completion of release and sprint goals. • Ensuring acceptance criteria are met with current release and conducting sprint reviews from a business/customer perspective. • Producing documentation with Product Managers and Marketing to support development, launch, support, services, and sales and marketing initiatives. • Performing detailed product demonstrations for external and internal audiences to communicate the benefits of the solution. • Serving as a subject matter expert to assist with sales and support as needed.