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Parisi Labs in New York City is seeking a senior product engineer to own the technical direction of Ask The Grid, a live AI-enabled product for forecasting and grid insights.
You will work across React and TypeScript, data-intensive workflows, APIs, and reliability to deliver faster, clearer, and more trustworthy software for real users.
This role emphasizes owning the end-to-end outcomes and collaborating with research and product teams in a small, ambitious environment.
Parisi Labs is an AI research and product company building systems that understand how the physical world changes over time. We combine live data, forecasting, and interactive software so people can see what is happening, reason about what comes next, and make better decisions.
Energy is our first proving ground. Ask The Grid is our live product for exploring the power system across markets, generation, demand, weather, and outages. It gives us a real environment in which to test models, ship useful tools, and learn from real users.
We are a small team working across research, data, and product engineering. Everyone is expected to move from an ambiguous problem to a working system and to care whether the result is useful, reliable, and faithful to the underlying world.
Ask The Grid is already a substantial live product. We are looking for a senior product engineer to take technical ownership of it and keep making it faster, clearer, more reliable, and more useful.
You will work across React and TypeScript, maps and time-series interfaces, APIs, accounts, data-intensive workflows, reliability, and AI-assisted product experiences. This is a product engineering role for someone who likes owning the whole outcome, not an ML research role.
You will work across product, data, model, agent, and decision-system boundaries without replacing the engineers and researchers who own those systems. Your job is to make their capabilities cohere as software a user can understand and trust.
New York City, in person by default. Boston/Cambridge can work for an exceptional candidate who maintains a regular in-person cadence with the founders in New York.
You will take ownership of a live product with real data and real users, while helping define how an early AI research and product company turns ambitious technical work into dependable software.