Prizeout

Prizeout

Product Operations Associate

New York, New York · Full-time

No sponsorship$80k-$95kDetected 33 days ago
Project ManagementJiraCRMExcelCommunicationOrganizational Skills

About the role

  • You'll work directly with the Head of Mobile Product & Growth and become a key force multiplier for the team.
  • This role is ideal for someone early in their career who wants broad exposure to product management, operations, growth, and fintech.
  • You'll wear many hats, solve problems daily, and gain hands-on experience helping scale a rapidly growing consumer product.

Responsibilities

  • Ability to identify problems, propose solutions, and drive follow-through

Requirements

  • 1-3 years of experience in Product Operations, Product Management, Project Management, Consulting, Customer Experience, Marketing Operations, or a related field
  • Analytical mindset with proficiency in Excel or Google Sheets
  • Thrives in fast-paced environments with a high degree of ownership and accountability
  • Must be able to work full-time in our NYC office
  • Must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.

Nice to have

  • Experience working with project management tools like Jira, Linear, or Asana, and CRM tools like Braze is a plus
  • Familiarity with mobile apps, fintech, SaaS, or consumer products is a plus

Compensation

  • The expected salary range for this position is $80,000 - $95,000 plus an equity component.

Company info

  • Prizeout is a leading New York City-based fintech company where innovation meets financial empowerment.
  • We provide rewards and loyalty solutions to financial institutions that revolutionize the way their customers engage and maximize their financial potential.
  • What We're Looking For

Visa & Work Authorization

  • Must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.

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