Technical Product Engineer for AI Training Platform

1 month ago

Old Toronto, Canada Switch Growth Inc. Full time

We are seeking a highly skilled Technical Product Engineer to join our team at Switch Growth Inc. in Toronto, Canada.

Company Overview

Switch is a pioneering AI startup revolutionizing customer acquisition and predictive analytics for the world's most innovative brands. As the premier AI training platform in marketing, we're redefining the industry with our cutting-edge technology.

Job Description

This role involves building out our platform features, scaling the platform, and providing engineering support when onboarding new clients. You will work in a fully remote, extremely collaborative team that defaults to open and extensive communication.

The Switch platform is a Ruby on Rails monolith that receives and processes large datasets from our clients and sends the processed data to various partner APIs. We are currently building out new products around the core product and expanding its functionality.

Required Skills and Qualifications

To be successful in this role, you should have:

  • 5+ years of experience with Ruby, or a similar language
  • 5+ years of experience with Ruby on Rails or a similar MVC web framework
  • Experience with designing and scaling API-heavy asynchronous background jobs in any environment, but especially Ruby
  • Experience with PostgreSQL or a similar relational database

We also look for candidates who can distill complex technical topics to an audience with diverse levels of technical expertise and have some familiarity with React.

Benefits

As a member of our team, you'll enjoy a great work environment to balance ambitious remote work, high expectations with a flexible environment for everyone, remote work environment with team events and office space rentals, collaborative and respectful co-workers, structured mentorship programs, unlimited vacation, and team lunches, happy hours, and events.

Location and Salary

Switch is located in Toronto, Canada, but operates fully remotely. Remote candidates are welcome to apply. The estimated salary for this position is $140,000 - $180,000 per year, depending on experience.

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