Whatnot

Whatnot

Product Manager, Logistics

San Francisco, CA

Sponsorship not specifiedDetected 75 days ago
Data ScienceProduct ManagementProduct StrategyLogisticsCollaborationProblem Solving

About the role

  • ๐Ÿš€ Join the Future of Commerce with Whatnot!
  • We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes.
  • Your work will directly impact seller success, buyer trust, and the economics of our marketplace. - Ensure that anything can be sold and fulfilled on Whatnot.

Responsibilities

  • A data-driven mindset with experience defining metrics, running experiments, and using insights to drive decisions
  • Ability to operate across ambiguity, identify high-leverage opportunities, and drive execution across multiple teams
  • Excellent cross-functional collaboration skills, with experience partnering closely with Engineering, Design, and Operations
  • Work From Home Support
  • All Whatnauts are expected to develop a deep understanding of our product.
  • We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).

Requirements

  • Experience building or scaling complex systems that combine user experience with underlying platform or infrastructure
  • Experience with shipping, fulfillment, or multi-sided marketplaces with logistics components

Compensation

  • Annual allowance towards Childcare

Benefits

  • Generous Holiday and Time off Policy
  • Health Insurance options including Medical, Dental, Vision
  • Home office setup allowance
  • Monthly allowance for wellness
  • Lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  • Parental Leave

This listing is sourced directly from Whatnot's careers page and normalized into a canonical job model.