Posting record
Open 6+ days
- Powertown'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 Powertown, so its true age is longer.
Last checked Nov 3, 2026.
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See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat the posting discloses
- AI screening
- Uses AI to screen applicants
Experience with geospatial systems, infrastructure datasets, utility data, energy markets, site selection, ranking systems, AI-assisted research, data extraction, or large messy public/commercial datasets (quoted from the posting)
Not stated: Pay, real vacancy.
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
Overview
Powertown is hiring an AI Engineer to build map-based intelligence for battery storage development. This role is for someone who can find signals in messy infrastructure data and turn it into a product advantage. The goal is simple: help Powertown see better sites across the US, faster.
What you'll do
- Turn scattered infrastructure data into a living map of opportunity
- Build systems that rank, enrich, and explain prospects
- Extract signal from land, grid, utility, market, and spatial data
- Use agents to compress research loops that usually take days
- Create workflows that help the team notice what others miss
- Make maps feel intelligent, not decorative
Preferred majors
Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, Energy Systems, Physics, GIS, or a similarly analytical field with strong technical ability.
Ideal candidate
- You are part engineer, part detective, part strategist
- You enjoy messy data because you know that is where the advantage is. You can look at a map and ask better questions than “what layer should we add?”
- You are not building dashboards. You are building a machine for discovering opportunity
Preferred qualifications
- Experience with geospatial systems, infrastructure datasets, utility data, energy markets, site selection, ranking systems, AI-assisted research, data extraction, or large messy public/commercial datasets
- Evidence of unusual initiative through shipped projects, research, startup work, competitions, technical writing, or self-directed data products
- Exceptional ability exemplified through personal projects
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