Experience with geospatial systems, infrastructure datasets, utility data, energy markets, site selection, ranking systems, AI-assisted research, data extraction, or large messy public or commercial datasets is preferred.
Evidence of initiative through shipped projects, research, startup work, competitions, technical writing, or self-directed data products is preferred.
Personal projects demonstrating exceptional ability are preferred.
Preferred majors include Computer Science, Data Science, Artificial Intelligence, Electrical Engineering, Energy Systems, Physics, GIS, or a similarly analytical field with strong technical ability.
Responsibilities
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.
Desired Qualifications
Experience with geospatial systems, infrastructure datasets, utility data, energy markets, site selection, ranking systems, AI-assisted research, data extraction, or large messy public or commercial datasets.
Evidence of initiative through shipped projects, research, startup work, competitions, technical writing, or self-directed data products.
Personal projects demonstrating exceptional ability.
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