Senior Product Manager, Machine Learning

Key Skills

Java Programming, Python Programming, SQL

Job Description

This is an opportunity to build the Machine Learning Product Management function at Tubi from the ground up and help define the future of TV. You will partner closely with Machine Learning Engineering, Content, Data Science, Legal, UX Research, and Platform PM teams to build world-class ML products for one of the largest AVOD streaming services in the world. Role can sit remotely anywhere in the USA. 

Responsibilities:

• Translate and communicate the core value proposition of complex technical products to both executive and less-technical audiences
• Your vision and ability to develop and deliver will be critical to working closely with Engineering, Content, Legal, and Partnerships to drive our most critical product initiatives in ML
• Partner with cross-departmental stakeholders to develop a comprehensive multi-year vision and define an ML strategy focused on maximizing business impact
• Co-define product vision, strategies, and roadmaps based on a shared view of product priorities with the product owner and team
• Address prioritization challenges via data-driven rationale
• Ability to evaluate alternatives and make compelling recommendations based on quantitative and qualitative analysis
• Work closely with UI/UX designers, data scientists, data engineers, full stack engineers, infrastructure engineers and strategists in ensuring product backlogs and story creation are aligned with the product strategy
• As a Senior Product Manager, you will be part of the larger product leadership on ML products and you will be seen as the subject matter expert on ML products
• Ability to Influence cross-functional decisions among stakeholders without direct authority

Your Background:

• Master’s degree or PhD from an accredited university, or equivalent work experience
• 5+ years as a Product Manager
• 2-3 years of ML experience
• You have worked on developing an ML product by understanding business problems, validating them with data and developing ML solutions to make an impact on business KPIs
• Both theoretical and practical experience in data-mining and labeling, feature selection, statistical techniques, and machine learning / deep learning algorithms
• Knowledge of machine learning algorithms; classification, regression, clustering, reinforcement learning, algorithm design etc
• Familiarity with natural language processing and text analytics
• Familiarity with Big Data frameworks