About the role
We’re currently interviewing for backend, frontend, or full-stack developers to join our team!
Our tech stack is Python (backend) and React (frontend), so whether you’re more comfortable with APIs and data pipelines or sleek, responsive interfaces, we’d love to meet you.
Details:
- Location: In person, downtown Montreal
- Schedule: Full-time preferred, part-time accepted
- Start Date: ASAP, but no later than the first week of September
- Eligibility: Open to all including current students. Must be legally authorized to work in Canada.
If you’re interested, apply now via our in-house platform:
👉 https://app.boundary-ai.com/s/ofalLSyG
We look forward to meeting you!
About BoundaryAI
Wholistic feedback analysis for data-driven growth.
We are developing an all-in-one solution for collecting, analyzing and tracking qualitative feedback. Focused on human feedback within organizations, our solution targets academic and HR sectors.
Concretely, we provide:
- User-friendly platform for data collection, which encourages free expressions outside of the traditional boundaries imposed by quantitative surveys
- Identification, quantification and tracking of pain-points
- Clear data-backed insights and recommendations, both unit-specific and institution-wide
Our goal is to use AI to merge the depth of qualitative feedback with the usability and scalability of quantitative data.
About the role
We’re currently interviewing for backend, frontend, or full-stack developers to join our team!
Our tech stack is Python (backend) and React (frontend), so whether you’re more comfortable with APIs and data pipelines or sleek, responsive interfaces, we’d love to meet you.
Details:
- Location: In person, downtown Montreal
- Schedule: Full-time preferred, part-time accepted
- Start Date: ASAP, but no later than the first week of September
- Eligibility: Open to all including current students. Must be legally authorized to work in Canada.
If you’re interested, apply now via our in-house platform:
👉 https://app.boundary-ai.com/s/ofalLSyG
We look forward to meeting you!
About BoundaryAI
Wholistic feedback analysis for data-driven growth.
We are developing an all-in-one solution for collecting, analyzing and tracking qualitative feedback. Focused on human feedback within organizations, our solution targets academic and HR sectors.
Concretely, we provide:
- User-friendly platform for data collection, which encourages free expressions outside of the traditional boundaries imposed by quantitative surveys
- Identification, quantification and tracking of pain-points
- Clear data-backed insights and recommendations, both unit-specific and institution-wide
Our goal is to use AI to merge the depth of qualitative feedback with the usability and scalability of quantitative data.