Posting record
Open 11+ days
- Squad's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Squad, so its true age is longer.
Last checked Oct 28, 2026.
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Upload your resumeWhat the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
The Role
Mining operators don’t use Jupyter notebooks. They rely on dashboards, interfaces, and tools that run on tablets underground, on laptops at surface, and in control rooms operating under extreme conditions. You will build those systems.
As a Full-Stack Product Engineer, you will take the output from AI and ML teams and turn it into usable, high-impact applications for real users in the field. This includes operator-facing applications, data-intensive dashboards, and internal tools that support operations.
This is not a typical startup “full-stack” role. You will be building complex, domain-specific software for expert users who expect high performance and excellent UX.
What You’ll Own
Development of client-facing applications across multiple engagements
Platform interfaces and operational dashboards
Data visualization components (drill data, sensor streams, simulation outputs)
Integration between AI/ML backends and frontend applications
Demo environments and technical artifacts for business development
Internal tooling (automation, knowledge systems, workflow tools)
Performance and reliability in production environments
Who You Are
Experience
5+ years of full-stack engineering experience, with strong frontend expertise
Experience building internal tools or operator-facing applications (non-consumer)
Background working with data-intensive interfaces (dashboards, data grids, visualization-heavy UIs)
Experience in small teams with end-to-end ownership of features
Technical Skills
Frontend: React + TypeScript (advanced level), writing clean and maintainable component-based code
Backend: Python (FastAPI or similar) or Node.js
Data Visualization: Experience with D3.js, Vega-Lite, Recharts, or similar (building custom visualizations, not just using libraries)
Databases: PostgreSQL and/or time-series databases (InfluxDB, TimescaleDB), or vector databases
Deployment: Docker, cloud environments, CI/CD pipelines
Nice to have: WebGL or Three.js for 3D visualizations
Profile
Strong UX awareness, with the ability to distinguish between functional and high-quality user experiences
Comfortable working with ambiguity and bringing clarity through prototyping rather than excessive specification
Ability to balance speed and quality, knowing when to prioritize each
Curiosity for the domain and interest in understanding how end users interact with the tools
What This Role Offers
Opportunity to build applications used in real-world, high-impact environments
Close collaboration with domain experts
End-to-end ownership of applications, from architecture to deployment
Greenfield development environment with no legacy constraints at the start
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