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Software Engineer

A global people & culture platform that combines AI-driven analytics, HR integration, and DEI expertise to measure and improve representation, inclusion, and engagement across organizations.
Backend
Mid-Level Software Engineer
Remote
51 - 100 Employees
3+ years of experience
AI · Enterprise SaaS

Job Description

Join Activate Talent, a pioneering global people & culture platform headquartered in Toronto with teams across Vancouver, the U.S., and the U.K. We're revolutionizing workplace inclusivity through AI-driven analytics and DEI expertise, serving organizations in 35+ countries. As a Software Engineer, you'll be integral to our product and engineering team, building our DEI analytics platform that helps organizations track inclusion and drive cultural change. You'll develop secure, performant applications using modern technologies like React, Node.js, and Python, while working with AI and NLP technologies. The role offers the flexibility of remote work while collaborating with cross-functional teams in data science, product, and design. You'll be responsible for building interactive dashboards, ensuring data privacy compliance, and optimizing platform performance. This position is perfect for engineers passionate about making a real impact on workplace equity while working with cutting-edge technology in a fast-paced, mission-driven environment. The role combines technical excellence with the opportunity to shape how organizations approach diversity and inclusion through technology.

Last updated 6 days ago

Responsibilities For Software Engineer

  • Build interactive dashboards, analytics tools, and user interfaces for DEI metrics
  • Engineer systems with enterprise-grade security and GDPR compliance
  • Optimize for high response rates and global scalability
  • Work with Data Science, Product, and Design teams
  • Implement robust unit tests, code reviews, and CI/CD pipelines

Requirements For Software Engineer

React
Node.js
Python
  • 3+ years of experience in software engineering with proficiency in full-stack development
  • Strong aptitude for building analytics dashboards and API integrations
  • Demonstrated understanding of data privacy, anonymization, and security best practices
  • Effective collaboration with designers, product managers, and analysts
  • Experience in SaaS, HR, or enterprise analytics environments (preferred)
  • Familiarity with AI/ML services, NLP, or recommendation systems (preferred)
  • Knowledge of DEI, HRIS, compliance reporting, or inclusion frameworks (preferred)