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Halluminate

Data research lab creating RL benchmarks

People Platform Lead

HR Operations & CoordinationConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 2 years of experience in operations, talent or community platforms, marketplace supply roles, recruiting operations, or community-led growth.
  • Ability to document, templatize, and automate systems and processes.
  • Comfort working with engineers and coding agents to translate problems into implementable product requirements.
  • Ability to lead program engagement, run events, and make senior professionals feel valued.
  • Detail-oriented and data-driven analytical ability.

Responsibilities

  • Build systems to formalize sourcing, training, onboarding, and human resources for experts.
  • Productize the people platform and processes to support a 1000x scale-up.
  • Engage with people-facing stakeholders as an early point of contact for the expert network.
  • Organize community events to drive signups, engagement, and retention across the people network.
  • Analyze pipeline metrics to identify process bottlenecks and work with engineers or coding agents to solve them.
  • Connect deeply with contributors to make the expert program a meaningful and valuable experience.

About the Company

Halluminate

Data research lab creating RL benchmarks

Halluminate builds benchmarks and reinforcement learning environments to advance AI for knowledge work. It creates computer-use and tool-use environments that train frontier AI models on real finance and consulting tasks, such as investment banking, private equity, and consulting work. A flagship benchmark, Westworld Finance Diligence Bench, contains 88 problems that simulate a complete company acquisition due-diligence process, with content written and reviewed by practicing deal professionals. The company differentiates itself by delivering domain-specific, practitioner-authored tasks and end-to-end workflows across financial services and consulting, and by expanding into adjacent verticals through data-driven RL environments. Its goal is to raise AI performance on real-world knowledge-work tasks and broaden benchmarks to cover more industries, supported by a 2026 Series A funding round led by Oak HC/FT and investors like Y Combinator.

Company size
51-200
Company stage
Series A
Total funding
$30.1M
Headquarters
San Francisco, CA
Founded
2024

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