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Simile

Enterprise AI platform simulating human behavior

Deployment Strategist - Consumer

Implementation & Technical Account ManagementPosted on Nov 10
Full-time

About the Job

Requirements

  • Thrives in ambiguous, 0-1 environments and is scrappy, resourceful, and self-directed.
  • Is detail-oriented, accountable, and consistent.
  • Communicates effectively, builds trust quickly with senior stakeholders, and navigates complex relationships.
  • Can quickly learn technical concepts and explain them clearly, and is comfortable engaging with AI concepts such as evaluations, validation, and model behavior; coding is not required.
  • Is willing to travel for customer engagements.

Responsibilities

  • Own customer relationships by being responsive, attentive to details, and trusted to deliver.
  • Lead enterprise customer engagements from the first call through full deployment and beyond.
  • Develop deep knowledge of the platform, including simulations, population modeling, evaluations, and validations, and apply that knowledge in customer conversations.
  • Connect customer needs with the work of product and modeling teams, ensuring relevant field insights inform internal decisions.
  • Take on high-impact projects across the business, including customer acquisition, simulation quality, and product development.

Desired Qualifications

  • Experience as an operator at a company deploying enterprise AI or data products, as a strategy consultant or investor seeking to own outcomes in technology, or as a product manager or engineer who moved into business and customer-facing work.
  • Comfort building lightweight tools or automations, including scripts and no-code tools.
  • Familiarity with enterprise software deployments or B2B SaaS.

About the Company

Simile

Enterprise AI platform simulating human behavior

Simile builds AI models that simulate human behavior to forecast how individuals and groups will respond to scenarios using generative agents grounded in real data. The platform runs simulations of events like product launches, policy changes, or earnings calls to support decision-making. It differentiates itself by grounding agents in hundreds of interviews and behavioral science, combining Stanford-backed research with enterprise-focused decision intelligence. Its goal is to help organizations test decisions and forecast outcomes before acting, reducing uncertainty in strategic planning.

Company size
51-200
Company stage
Late Stage VC
Total funding
$300M
Headquarters
Palo Alto, CA
Founded
2025

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