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Halluminate

Data research lab creating RL benchmarks

Data Platform Lead

Data ManagementConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$295k - $375k /yr

About the Job

Requirements

  • Experience building a data acquisition, licensing, or operations function, ideally one that did not exist before.
  • Strong engineering instincts and ability to build pipelines and tooling directly, rather than only managing vendors.
  • Product judgment to determine whether data is suitable for a use case and when to stop.
  • Comfort operating without an established playbook and at startup pace.
  • Comfort working directly with project leads, vendors, and subject-matter experts.

Responsibilities

  • Stand up the data team from scratch as its first hire and owner.
  • Source, license, and purchase real-world financial data and artifacts, including data rooms, filings, models, and decks.
  • Build the anonymization and compliance pipeline that converts sensitive industry data into training-safe assets.
  • Build systems to catalogue, version, and distribute data so project teams can self-serve.
  • Serve as the internal supplier to project pods, fulfilling requests for data and tokens that support RL environments.
  • Own vendor and data-provider relationships end to end, including negotiation and renewal.
  • Own data quality, provenance, and licensing terms, and make decisions about what data the organization will use.

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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