Venncity

Venncity

Part-Time Office and Employee Experience Manager

New York, New York, United States · Part-time

Sponsorship not specified$20k-$30kDetected 25 days ago
LogisticsCommunicationOrganizational Skills

About the role

  • You'll be the heartbeat of our physical workplace, ensuring it runs smoothly while creating an environment where people feel welcomed, supported, and inspired to do their best work.
  • This role is ideal for someone who thrives in a dynamic environment, is passionate about people, and loves to make things happen behind the scenes.

Responsibilities

  • Manage the day-to-day operations of our NYC office to ensure a clean, comfortable, and inviting workspace
  • Handle relationships with building management, vendors, and other tenants on the floor
  • Track and manage office-related budgets, orders, and inventory
  • Build and coordinate employee engagement activities that foster an authentic, inclusive, and connected workplace culture
  • Partner with People and IT teams to ensure a smooth onboarding and offboarding experience for all employees
  • Support team offsites, relocation logistics, and visitor coordination
  • By leveraging resident behavioral data, Venn delivers personalized experiences at scale, driving long-term loyalty and unlocking new revenue opportunities.
  • We're not just building software; we're redefining how people experience home.

Requirements

  • 3+ years in office management, employee experience, operations, or related roles
  • Experience in a startup environment

Compensation

  • Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to demonstrated skill set, years and depth of relevant experience, and some role-dependent factors such as certifications.

Benefits

  • Venn is a fast-growing technology company transforming the relationship between renters and multifamily operators.

Company info

  • What We're Looking For

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