Job Post

Senior Technical Product Manager, Data Science Systems

Wayfair
4 Copley Place - Floor 7
Boston, MA 02116

Senior Technical Product Manager, Data Science Systems

Wayfair customers experience is increasingly driven by a cutting-edge set of machine learning systems that interact in complex ways to ensure that we are using our rich datasets to their full potential. Business applications of these learning systems span many fields including recommendations, marketing, and merchandising. These fields require a sophisticated technology stack that allows for complex machine learning models combined with configurability for rapid testing and exploration. A successful system will use technological synergies across the disparate business problems and build a unified platform for data science at Wayfair. We are looking for a seasoned technical product manager to accelerate the development of that system.

The data science systems technical product manager will play a central role in developing our machine learning capabilities across marketing, recommendation and merchandising fields. Youll have a variety of stakeholders and partners in both engineering and data science. You will work with them to understand our customer pain points, our internal business KPIs, and our current technical gaps to develop a platform that advances our ability to delight the customer. Youll translate business asks into sensible technical specifications for your engineering team, making smart trade-offs between time and complexity to develop MVPs. Youll serve as the subject matter expert on the platform, push for adoption for new use cases, and continually expand our machine learning capabilities.

Responsibilities:

  • Be the subject matter expert and owner of your products
  • Prioritize many requests and ideas for features by understanding the business value and impact, weighed against the risks and development cost
  • Maintain a product vision and roadmap, keeping stakeholders and constituents up to date on the top level goals and timelines
  • Market your product internally to various departments to ensure all available users know about your product and how they could value from it
  • Translate business initiatives into engineering stories/tickets, allowing engineering to run with your ideas
  • Deeply understand the technology used in your products, the strong and weak points, and become an expert at what is available
  • Regularly communicate our quarterly/monthly goals and progress to keep business stakeholders apprised of your work and product progress

Requirements

  • 6+ years of product experience in the digital space, preferably ecommerce or recommender systems
  • Demonstrable ability to be technically hands-on, up to architecting high-level system plans (no coding)
  • Proven SQL knowledge can use SQL to pull ad hoc data when necessary
  • Understanding of Data Science and Machine Learning fields on a high level
  • Understanding of the Ad Tech industry
  • Drive to deliver amazing products and features on or before schedule
  • Ability to work across several stakeholder groups and juggle many large initiatives simultaneously
  • Experience working with a large engineering team, running their sprints, stand-ups, and backlog
  • Strong communications skills to build materials to drive adoption around product
Category: Product Management
Full-time

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