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Aaru

AI-driven multi-agent forecasting platform

Simulation Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Have 7 or more years in consumer insights or market research with genuine quantitative depth, including research design, sampling and weighting, tracker and survey methodology, segmentation, or advanced analytics at an agency, panel provider, or in-house insights function.
  • Have personally designed and defended research methodology to senior, skeptical stakeholders, and owned the consequences when a study informed a consequential decision.
  • Be statistically fluent, able to reason about distributions, confidence, bias, and validity in plain language, and understand the difference between directional accuracy and predictive validity.
  • Be able to argue credibly against traditional research methods and have a perspective on declining response rates and panel conditioning.
  • Be comfortable representing Aaru in senior client settings, including CMO and C-suite conversations, and maintaining credibility with trained methodologists.
  • Be prepared to work fully in person in New York City.
  • Be located within the New York City metro area or be open to relocation.

Responsibilities

  • Own the methodological conversation in the sales process, including audience construction, representativeness, response synthesis, calibration, and explaining confidence in a simulated distribution.
  • Translate ambiguous business questions into well-specified simulation designs, including audience definition, stimulus design, and the evaluation standard a result must meet.
  • Design and interpret proof-of-concept evaluations, including validation against a prospect's own historical research where available.
  • Compare simulation with traditional methods credibly and fairly, explaining where simulation outperforms trackers, surveys, and panels, where it does not yet, and why.
  • Equip champions to defend simulation-based decisions internally by producing methodological narratives, validation records, and boundary statements.
  • Partner with Account Executives through the full cycle as the interpretive counterpart to their commercial lead, and partner with Deployment through handoff to ensure the standard set in the sale is met in delivery.
  • Serve as a structured feedback channel into product and research, translating methodological objections from the field into platform priorities.
  • Contribute to Aaru's public methodological voice through accuracy frameworks, validation publications, and industry conversations.

Desired Qualifications

  • Be energized rather than threatened by AI's arrival in the field and want to define how simulation is judged.

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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