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Aaru

AI-driven multi-agent forecasting platform

Product Manager - Artifacts

Product ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$305k - $385k /yrIn-person

About the Job

Requirements

  • Experience working as a product manager for analytics or document platforms.
  • Opinions on how artificial intelligence and data interact.
  • Experience owning a roadmap that includes improving model performance in a product.
  • Experience working on products serving users with a wide range of technical competency.

Responsibilities

  • Define the Artifacts roadmap, from executive summaries to interactive results experiences.
  • Set evaluation and launch criteria for AI-generated deliverables.
  • Turn one-off customer deliverables into reusable templates and primitives.
  • Debug model behavior and reasoning failures alongside Research.
  • Instrument adoption, trust, and quality so decisions run on evidence.
  • Present Artifacts strategy to executives, customers, and partners.

Desired Qualifications

  • Experience building large language model-powered content generation pipelines, including automated report prose, insight extraction, or agentic document creation.
  • Experience producing or automating consulting-grade deliverables at a strategy firm, analytics vendor, or customer-facing business intelligence product.
  • Experience as a founder or early product manager at a fast-growing company.
  • Experience committing code or working deeply enough in the stack to credibly debate architecture and evaluation design.
  • Experience working with data scientists or researchers as part of the product development process.

About the Company

Aaru

AI-driven multi-agent forecasting platform

Aaru uses multi-agent simulations to forecast outcomes in political polling, business strategy, and global issue modeling. It builds virtual models of real-world actors, runs scalable cloud simulations, and uses machine learning to turn results into actionable forecasts. It differentiates itself by applying multi-agent forecasting to deliver more scenario testing at a lower cost than traditional polling, serving major policy groups and Fortune 500 companies. Its goal is to expand beyond elections to tackle a broader set of societal and business challenges with AI-driven analytics for decision-making.

Company size
51-200
Company stage
Series A
Total funding
$50M
Headquarters
New York City, New York
Founded
2024

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