Senior Product Manager (Revenue Growth and Machine Learning) (Tinder LLC, Dallas, TX)

About the position

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 product's 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.

Responsibilities

• Develop overall product strategy and plan for revenue growth.
• Monitor all product KPIs and partner with data scientists to analyze key business metrics.
• Develop strategic hypothesis and prioritize features for evaluation and A/B testing.
• Build strategy and development of product offerings by partnering with legal, engineering, and marketing.
• Navigate data systems and machine learning pipelines.
• 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 and initiatives.
• Use strong communication skills to partner with the engineering team.
• Participate in architectural and design sessions, business process, and operational discussions.

Requirements

• Bachelor's degree or U.S. equivalent in Operations Research, Computer Science, Information Systems, or a related field.
• 5 years of professional experience as Product Manager, Business Analyst, or similar roles.
• 4 years of experience handling large volumes (50M+ MAU) of data and performing data queries using SQL.
• 3 years of experience conceptualizing and product managing direct consumer-facing features on iOS and Android.
• 3 years of experience creating and implementing A/B tests on large scale consumer-facing products.
• 3 years of experience building zero-to-one consumer-facing core products dealing with marketplace dynamics.
• 3 years of experience using product management tools and systems for data analysis.
• 3 years of experience performing software engineering practices for the full software development life cycle.
• 3 years of experience working on revenue and growth products in a mobile-first B2C business.
• 2 years of experience product managing and innovating on in-house built machine learning models.

Benefits

• \$187,000 - \$223,000 per year salary.