Product Manager - Tech, Content Discovery

About the position

Audible is seeking a Product Manager, Content Discovery to define and build critical experiences that will help the right users find the right content at the right time. As part of the Content Discovery team, which encompasses Search, Personalization and Browse, you will help connect listeners with content they can fall in love with, and introduce them to new content that can broaden their horizons. Your mission will be to build features that delight every Audible member by making the process of finding their own content intuitive, effortless, and compelling.

Responsibilities

• Work with data science teams to evaluate the effectiveness of ML models offline using metrics such as precision, NDCG, etc.
• Execute the content discovery roadmap with clearly articulated and well measured goals.
• Define and execute on projects that improve the relevance, quality, and diversity of our algorithms.
• Drive understanding across Audible of how and where generative AI-based models can bolster content discovery and engagement.
• Collaborate and coordinate with data science and engineering teams on objectives and business requirements.
• Contribute to the worldwide content discovery product strategy/roadmap.
• Collaborate with stakeholders across Audible to optimize machine learning experiments and measure firmly understood hypotheses and business objectives.
• Plan and prioritize the backlog for development teams to ensure maximum value in deliverables.
• Translate inputs and business needs into detailed product requirements documents and user stories for engineering teams to execute.

Requirements

• Bachelor's Degree in a technical, analytical or related field.
• Experience in data driven hypothesis testing and experimentation.
• Experience working with design teams to improve the user experience for customer facing products/features.
• 3+ years of customer-facing product development and product management, including defining, launching, and optimizing product and services experience.

Nice-to-haves

• Relevant professional experience in a consumer-facing machine learning oriented product management role.
• Experience with generative AI, large language models, and their applications in customer-facing experiences.
• Experience with AI/ML solutions for search, browse, or content recommendation features.
• Content streaming/media/entertainment industry experience (books, music, movies, etc.).
• Ability to evaluate and recognize the benefits and limitations of various AI/ML models.
• Data analytics and interpretation skills.
• Team player: ability to bring varying functional teams together.

Benefits

• Equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package.
• Full range of medical, financial, and/or other benefits.