wavo

wavo

Executive Assistant - Toronto, ON

Montreal, Quebec · Internship

Sponsorship not specifiedDetected 20 days ago
PythonData AnalysisLogisticsResearchCommunicationPublic SpeakingAdaptabilityOrganizational Skills

About the role

  • Coordinate internal and external communications on behalf of the CEO
  • Organize travel, accommodations, itineraries, and logistics
  • Prepare meeting notes, agendas, follow-ups, and action items

Responsibilities

  • Manage the CEO's calendar, scheduling, and meeting coordination
  • Help prioritize tasks and maintain organization across multiple projects
  • Organize documents, assets, spreadsheets, and internal systems
  • Provide day-to-day operational and personal administrative support to the CEO
  • Support ad hoc tasks, urgent requests, and evolving business needs as they arise

Requirements

  • Must be based in downtown Toronto or the immediate city area
  • Must be available to work in-office 5 days per week
  • Recent graduate with a BA/BSc degree or equivalent practical experience

Skills

  • Strong organizational and multitasking skills
  • Excellent written and verbal communication skills

Compensation

  • Competitive base salary + variable commission compensation structure;

Equal opportunity

  • Employer
  • We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
  • The company specializes in intelligent marketing for the music and entertainment industries, based on AI data analysis, for talent agents, producers and artists from all over the world
  • it develops its software in teams formed of colleagues from outside Quebec with whom interaction is constant. It offers turnkey programming or self service to its clients, 99% of whom are foreign. Accordingly, knowledge of English is required for this position.

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