- QA the country's most comprehensive dataset of local renewable-energy zoning regulations — diving into ordinances and rules for solar, wind, battery storage, and data centers
- Build automated tooling to scale your own judgment — turning one-off rulings into scripted checks and AI-agent workflows that run across thousands of jurisdictions
- Adjudicate the hard calls: which government actually holds zoning authority, whether state law preempts local rules, and how a jurisdiction treats uses its ordinance never mentions
- Comfort reading legal and regulatory text — zoning ordinances, municipal codes, state statutes — and interpreting it precisely
- A skeptic's mindset: you verify against the primary source, you don't take the AI's word for it
- Clear, concise written reasoning — your rationale becomes the record for why a value stands
- Detail-oriented and process-driven: comfortable working a large review queue without losing rigor
- Comfortable working in a technical environment: you don't need a CS degree, but you should be comfortable with AI-assisted coding, structured data, and scripting
- Environmental Policy, urban planning, public policy or related background and genuinely enjoys reading ordinances
- You care about how clean energy actually gets sited — the county-by-county reality, not the abstraction
- You reach for automation when a task repeats — you'd rather spend a day scripting a check than a week clicking through rows
- Persistent on ambiguity: when an ordinance is silent or contradictory, you dig until you can defend an answer
- Python/SQL experience, or you've built something with LLMs
- Knowledge of renewable energy siting or the solar/wind/BESS development process
- Land use / zoning coursework, or experience at a planning department, law firm, or as a paralegal
- Familiarity with Municode, eCode360, American Legal, or similar municipal-code platforms
- $85,000
- Full-time role
- Remote-friendly — with a preference to work from our office in Williamsburg, Brooklyn
- Paid company holidays
Skills Required
- Comfort reading and precisely interpreting zoning ordinances, municipal codes, and state statutes
- Verify findings against primary sources rather than relying on AI outputs (skeptic's mindset)
- Clear, concise written reasoning to document rationale for values and decisions
- Detail-oriented and process-driven; able to manage a large review queue without losing rigor
- Comfortable working in a technical environment; familiarity with AI-assisted coding, structured data, and scripting
- Background in environmental policy, urban planning, public policy, or related field
- Experience with Python or SQL, or experience building with large language models (LLMs)
- Knowledge of renewable energy siting or solar/wind/BESS development processes
- Land use / zoning coursework or experience at a planning department, law firm, or as a paralegal
- Familiarity with municipal-code platforms such as Municode, eCode360, or American Legal
What We Do
Energy demand is skyrocketing, and renewable energy is the most scalable path forward. But today’s development process can’t move fast enough to meet global goals. Paces exists to change that. We are building software and services to accelerate renewable energy deployment and lower costs - unlocking one of the greatest opportunities of our time: transforming how infrastructure gets built and ensuring it’s built with renewable energy. Paces automates early-stage due diligence and provides the expertise to accelerate late-stage diligence, fast-tracking projects from siting to construction-ready. Our platform supports renewable energy and data center developers, real estate firms, and more by streamlining siting, interconnection, and permitting. With Paces, teams can de-risk decisions, shorten timelines, and get more renewable energy projects built.
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