A

Aaru

AI-driven multi-agent forecasting platform

Simulation Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Have at least 7 years of experience in consumer insights or market research with quantitative depth in 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 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 difference between directional accuracy and predictive validity.
  • Be able to critically assess traditional research methods, including the effects of 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.
  • Work fully in person in San Francisco; be located within the San Francisco metro area or be open to relocation.

Responsibilities

  • Own the methodological conversation in the sales process, covering audience construction, representativeness, response synthesis, calibration, and confidence in simulated distributions.
  • 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 fairly and credibly with traditional methods, including trackers, surveys, and panels, and explain where simulation does and does not outperform them.
  • Equip champions to defend simulation-based decisions internally by producing methodological narratives, validation records, and boundary statements.
  • Partner with Account Executives throughout the sales cycle as the interpretive counterpart to the commercial lead, and partner with Deployment during handoff to ensure delivery meets the standard set during the sale.
  • Provide structured feedback to product and research teams 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.

Desired Qualifications

  • Be energized by AI's arrival in the research field and interested in defining how simulation is evaluated.
  • Have prior sales or solutions engineering experience; it is not required.

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

Recently Posted Jobs

Explore more opportunities at Aaru

See more jobs