Motion

Motion

Executive IC, Design

Toronto, CAN · Exec

Sponsorship not specifiedDetected 54 days ago
FigmaValuationShopifyCollaboration

About the role

  • Motion now automatically analyzes and organizes creative at scale and surfaces competitor trends.
  • Our bet isn't that AI replaces great marketers.
  • When leading brands want to understand their creative performance, they turn to us.

Responsibilities

  • Motion uses artificial intelligence (AI) to support administrative and efficiency-focused aspects of our recruitment process.

Requirements

  • Using AI tooling to produce what once required a team, then refining and elevating it through your own craft and judgment.

Compensation

  • We offer competitive compensation, including equity for all employees, health benefits from day one, a monthly health & lifestyle stipend to support your well-being, 20 days of PTO, and a $1,500 work-from-home stipend.

Company info

  • We're a remote-first company with team members spanning Canada, the U.S., and beyond, but also have office spaces in 4 main hubs (Toronto, Montreal, Vancouver, and Porto) for optional hybrid work.
  • As an early team member, your contributions will directly shape the product, team, and the future of the company.
  • If you're excited about building, you'll thrive here!
  • Outside of the option to go to one of our offices, our team gets together in-person for a week every two months, and we have a company retreat every summer.
  • We closed out 2024 with a $30M Series B raise and strong signals from our customers.
  • In 2025, we built the foundational capabilities our customers rely on, setting the stage for what's to come.
  • In 2026, with fresh funding ($65M+ total capital raised), we're building forward from that foundation, taking what we learned to market in a deeply AI-native way. 🌎
  • we're looking to hire someone based in Canada or the United States, but are open to exceptional candidates in other locations.

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