GitHub for Investment Methodology. Backed by Y Combinator.
About the role
Creating an investable index from a conversation with AI isn't a traditional data engineering problem. Every investment methodology we generate depends on high-quality, continuously evolving data flowing reliably across hundreds of sources, pipelines, and systems. We're looking for a Staff Data Engineer who thrives in ambiguity, enjoys building large-scale data platforms, and wants to define how AI-native investing is powered behind the scenes.
What they're looking for
- You've spent years building production data platforms, not just ETL pipelines, and understand the difference
- You naturally think about how data enables products, not just how it's stored
- You have strong engineering fundamentals and are comfortable designing distributed data systems at scale
- You're able to simplify complex data architectures into systems that are reliable, maintainable, and easy to extend
- You understand that trustworthy AI starts with trustworthy data
- You communicate technical ideas clearly and enjoy working closely with engineers, AI researchers, and founders
More about this role
Agora Intelligence is building the audited methodology layer agents call before touching portfolios. Our product, Tilt , is GitHub for rules-based investment methodologies: an open platform and marketplace where investment strategies are created, tested, audited, and distributed — by humans and AI agents alike. As AI agents begin managing real portfolios, they need a trusted source of verified investment logic before they can act. Tilt is that source.
We operate across two connected surfaces: InvestOS , an open standard that lets any brokerage or platform plug verified methodology into its own AI experience; and Tilt , the reference implementation of InvestOS. Tilt is an agentic harness where investors, portfolio managers, and creators can author, remix, and publish strategies. We're a small, senior team (from BlackRock, Bloomberg, BGI, and Quant Funds) backed by Portage Ventures, Lerer Hippeau, Cumberland Investments (and more), working with major brokerages and financial data providers.
InvestOS — an open standard for rules-based methodologies and its reference implementation.
We believe any idea — a theme, a trend, a thesis — can be turned into an investable view. On Tilt,...
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