Regulatory Analyst

Regulatory Data Analyst Brooklyn, NY | Solutions | In office | Full-time The Opportunity In the next 30 years, the world will transform every part of the built environment to be climate positive green infrastructure. But today's renewable energy development process can't move fast enough to meet global goals. Paces exists to change that. We are providing software and services to accelerate power development and unlocking one of the greatest opportunities of our time: transforming how infrastructure gets built and ensuring it's built with renewable energy. Our Solution Paces is building the development engine for renewable infrastructure and power projects. We have built Agentic AI that automates early-stage due diligence and pairs it with in-house expertise to accelerate late-stage diligence. The result: projects move from siting to construction-ready in a fraction of the time. Our platform streamlines siting, interconnection, and permitting for renewable energy and data center developers, real estate firms, EV charging companies, and more. Our Team We are building a team where people can proudly say their time at Paces is the most impactful, meaningful work of their career. Our amazing team in Brooklyn, New York includes incredible team members from tech companies like Meta AI, DeepMind, and Tesla; various high growth startups; as well as industry leaders from TotalEnergies, Con Edison and GE. Paces is growing rapidly and looking for exceptional people to join who want to have a massive positive climate impact while building a great culture! What You'll Achieve 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 Requirements 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 About You 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 Bonus Points 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 Compensation and Benefits $85,000 Full-time role Remote-friendly — with a preference to work from our office in Williamsburg, Brooklyn Paid company holidays About Paces If you're a builder who wants to actively construct a more climate positive future, join us! We are enabling the climate optimum use for all the world's land and are thought leaders in the evolving data center and renewables markets. We have a dog calendar and have dogs running around in the office. We have world class customers and are growing! We've raised $18M+ led by Navitas Capital, Resolute Ventures and Y Combinator. #J-18808-Ljbffr