Develop the overall product strategy and plan for revenue growth through the recommendation offers and machine learning products. Monitor all product KPIs and partner with data scientists to analyze key business metrics to identify opportunities for revenue and ecosystem impact. Develop strategic hypothesis prioritizing features to evaluate the hypothesis and A/B test the features. Build the strategy and development of product offerings by partnering with legal engineering marketing. Navigate data systems and machine learning pipelines and work with technology teams to integrate and tailor existing machine learning models and create new ones. Ideate and develop zero to one consumer-facing features by partnering with Designers. Develop new features for native applications designed to scale for millions of users. Monitor the end-to-end product lifecycle of products initiatives and technologies (including the development and conveyance of the products vision through product roadmaps). Use strong communication skills (written and verbal) to partner with the engineering team to ensure product development is on track. Participate in architectural and design sessions business process and operational discussions to create world-class technology products scalable to millions of users and services built on iOS Android and Web. Understand technical trade-offs as well as business KPI trade-off for balancing revenue and user engagement and retention. Position allows telecommuting from anywhere in the U.S. Salary: $187000 - $223000 per year.
MINIMUM REQUIREMENTS: Bachelors degree or U.S. equivalent in Operations Research Computer Science Information Systems or a related field plus 5 years of professional experience as Product Manager Business Analyst or any occupation/position/job title involving developing and implementing product strategy and planning.
Must also have experience in the following: 4 years of professional experience handling large volumes (50M MAU) of data and performing data queries using querying languages (including SQL) deriving insights from the data and strategizing future roadmap decisions based on those insights; 3 years of professional experience conceptualizing and product managing direct consumer-facing features (Business to Consumer) built on iOS and Android for a global tech company; 3 years of professional experience creating and implementing A/B tests on large scale (50M MAU) consumer-facing iOS and Android products using a hypothesis-driven approach; 3 years of professional experience building zero-to-one consumer-facing core products that deal with marketplace dynamics and network effects; 3 years of professional experience using product management (including collaborating with the design analytics and development teams across web and apps) and analyzing data to drive decisions and proficiency using tools and systems to find necessary data (including Excel Tableau Advanced Analytical SQL and A/B testing) and design and ideation tools (including Figma Sketch Figjam or Miro); 3 years of professional experience performing software engineering practices and employing best practices for the full software development life cycle (including coding standards code reviews source control management build processes testing and operations); 3 years of professional experience working on revenue and growth products with experience in balancing the needs of the business and the users on a mobile-first B2C business with 50M MAU; 2 years of professional experience product managing and innovating on in-house built machine learning models on a large scale (50M MAU) consumer-facing product (B2C).
Factors such as scope and responsibilities of the position candidates work experience education/training job-related skills internal peer equity as well as market and business considerations may influence base pay offered.
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