Original job description
About PolarGrid
PolarGrid is an early-stage Canadian company that runs managed AI inference. Customers bring their own models, and we run them as fast, reliable production endpoints.
The role
You will own the console, the product customers use to deploy, monitor and pay for their models. You will own it end to end, from the interface to the APIs and data behind it, and you will run it in production.
This is a hands-on staff role on a small team. Most of your time goes to building. You will also set the direction for how customers experience PolarGrid. You will work closely with the infrastructure team so the product reflects what is really happening, and you will help hire and grow the engineers who join you.
Our customers are ML and infrastructure engineers. They expect accurate numbers, clear errors and a product that respects their time.
The work
You will build how customers get started, deploy and update models, track usage and cost, and understand what their models are doing. The hard part is that much of this is slow and can fail partway. Operations run for minutes, and the product has to show their real state, clearly, while it changes.
What you bring
• You have owned a product for technical users end to end, from interface to production, including being on call for it.
• You have set technical direction beyond your own code, and other engineers built on it.
• You have made other engineers better through review, design and mentoring.
• Deep experience building web front ends with a typed language, and comfort building backends on a relational database.
• You design for long-running work and failure: live status, retries and partial results.
• Product judgement. You talk to customers, cut scope, and write down a plan before building it.
• You write clearly.
• You use AI tools well and check their work.
More about this job
Responsibilities
Own and build PolarGrid’s customer console end to end, including interfaces, APIs, and data, enabling customers to deploy and update models, monitor status and usage, and manage costs. Run the product in production, set its technical and customer experience direction, collaborate with infrastructure engineers, and help hire and develop the engineering team.
Requirements
The role requires end-to-end ownership of a technical product through production, including on-call responsibility, and experience setting technical direction and mentoring engineers. Candidates should have deep experience with typed web front ends and relational-database back ends, design for long-running operations and failures, exercise customer-focused product judgment, communicate clearly, and use AI tools effectively while checking their output.
Skills
- Product Engineering
- End-to-End Product Ownership
- Web Front-End Development
- Typed Programming Languages
- Backend Development
- Relational Databases
- Production Operations
- Technical Direction
- Mentoring
- On-Call Support
- Long-Running Operations
- Failure Handling
- Customer Research
- Product Judgment
- Clear Technical Writing
- AI Tools
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Management & Leadership
Keywords
- Managed AI Inference
- Machine Learning Models
- Production Endpoints
- Customer Console
- Model Deployment
- Model Updates
- Monitoring
- Usage Tracking
- Cost Tracking
- Web Front Ends
- Typed Languages
- Backend Development
- APIs
- Relational Databases
- Production Operations
- On-Call
- Long-Running Operations
- Live Status
- Retries
- Partial Results
- Technical Direction
- Customer Research
- Mentoring
- Code Review
- AI Tools
- Infrastructure Engineering
