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Aaru

AI-driven multi-agent forecasting platform

Simulation Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeSingapore

About the Job

Requirements

  • Have at least seven years of experience in consumer insights or market research with quantitative depth in areas such as research design, sampling and weighting, tracker and survey methodology, segmentation, or advanced analytics.
  • 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 explain distributions, confidence, bias, and validity in plain language, and understand the distinction between directional accuracy and predictive validity.
  • Be comfortable representing Aaru in senior client settings, including CMO and C-suite conversations, and maintaining credibility with trained methodologists.
  • Have a background in traditional market research and consumer insights, such as survey design, focus groups, quantitative or qualitative analysis, or syndicated data sources, with a strong foundation in translating research findings into actionable business recommendations.
  • Be prepared to work fully in person in Singapore.

Responsibilities

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

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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