Senior Product Manager
Machine Learning and Recommendations
Posted on 11/22/2022
INACTIVE
Locations
Los Angeles, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Requirements
  • 5+ years of work experience as a Product Manager, preferably on user-facing consumer experiences
  • 3+ years product management experience preferably within a fast-growing consumer tech company
  • Experience working with products that heavily rely on machine learning and recommendations at their core
  • A deep understanding of the ML space, both from an academic perspective and real-world implementations
  • Experience defining metrics and making product and strategic decisions based on A/B testing and/or qualitative feedback
  • Strong interpersonal skills, with the ability to connect a strategy to a set of customer problems to a group of metrics to features in a logical chain
  • A passion for data and can prioritize using a combination of data and product intuition
Responsibilities
  • Drive innovation, definition, roadmap, and design of A/B tests for core recommendations and ML on Tinder to accelerate the growth of our active members and paid members
  • Prioritize projects based on member impact, business needs and available resources
  • Make strategic and data-based decisions about trade-offs, balance scope with quality, and communicate to various audiences, from teammates to executives
  • Analyze member data and metrics to measure the business impact and find opportunities to evolve
  • Build alignment with cross-functional partners: engineers, data scientists, designers, legal, finance and others
  • Learn the dynamics of the Tinder ecosystem, understand the psychology of our users, and identify their product needs
Match Group

1,001-5,000 employees

Dating platform conglomerate
Company Overview
Match Group's mission is to spark meaningful connections for every single person worldwide. The company operates platforms including Tinder, Hinge, Okcupid, and more.
Benefits
  • Medical/Dental/Vision Insurance
  • Charitable Matching Program
  • Retirement Matching Funds
  • Training and Education Allowance
  • Performance Bonuses
  • Mental Health Counseling