Farther Finance

Farther Finance

Senior Office & Talent Operations Associate

Hybrid - New York, NY · Senior

Sponsorship not specifiedDetected 29 days ago
LogisticsRecruitingOnboardingOrganizational Skills

About the role

  • We're scaling fast and we need someone who keeps the whole operation running smoothly.
  • One day you're scheduling panels across a packed hiring slate, the next you're coordinating office logistics for a new hire cohort or supporting the talent team on calendar and communications.
  • If you're highly organized and take pride in the details, this is a great opportunity to grow inside a fast-moving people team at a fintech company rewriting the playbook for wealth management.

Responsibilities

  • Coordinate recruiting operations across the talent team - own scheduling for recruiter screens, hiring manager interviews, and Farther Day panels, with clean handoffs at every stage
  • Maintain data accuracy in Greenhouse: keep candidate stages updated, track notes, and flag any gaps for the recruiting team
  • Provide executive support to the Talent team and VP of People: help manage calendars, schedule internal and external meetings, and handle logistics for time-sensitive priorities
  • Manage day-to-day office operations, including supply ordering, vendor coordination, maintenance requests, and general facilities upkeep
  • Support office event logistics for prospective Advisors, building registration, guest access, room prep, and day-of hospitality
  • Support the new hire onboarding experience for NYC: workspace setup, badge access, day-one welcome, and office orientation
  • Takes initiative and ownership; spots problems, drives solutions, and genuinely cares about the impact on the team and the business.
  • Strong communicator who can manage multiple stakeholders at once without losing their cool
  • Chart your own growth path as we expand

Benefits

  • Full health benefits + 401(k) matching & Roth IRA options

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