Humans are unreliable narrators of their own behavior. Memory fails, incentives distort answers, and social pressure warps what people say away from what they actually do. Backed by General Catalyst, Felicis and Redpoint.
About the role
As a Product Engineer, you will take ambiguous, consequential user problems from first conversation to reliable product capability. You will work closely with Product, Design, Deployment, Platform Engineering, Simulation Engineering, and Research. You will be expected to understand both the user problem and the system details well enough to make good tradeoffs without handing ownership away at either boundary.
More about this role
Aaru builds simulations of human behavior. Each simulation contains a population of AI agents, each representing a person who could plausibly exist in the real world and capable of making decisions within a modeled environment. Companies and institutions use these simulations to test consequential choices before committing—from product launches and pricing decisions to strategic communications and policy changes.
Building a useful simulation requires more than generating plausible text. Populations must represent real people and groups; predictions must be calibrated; simulations must remain coherent as conditions change; and the product must make the resulting evidence legible enough to support real decisions.
We are a small, in-person team in New York. We work with urgency, high ownership, and intellectual honesty. We expect people to surface inconvenient evidence, change their minds quickly, and carry important work all the way to a result.
Product Engineering turns Aaru's simulation capabilities into products that customers can use independently and repeatedly. The team builds on Aaru's shared platform and simulation systems to create the workflows, interfaces, integrations,...
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