We're building the technical infrastructure for a new kind of venture capital firm—one where AI systems dramatically enhance performance. After building our internal systems, you'll deploy this infrastructure across our business units, create technical SOPs, and help us mold our technical platform so that it scales beyond the fund. Requirements 3-6 years of software engineering or technical product experience, with demonstrated ability to ship production systems Strong Python or other object oriented programming skills, you've written services that process real data, not just scripts Deep experience with APIs, webhooks, and integration architecture—you understand auth flows, rate limits, and failure modes Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) Architectural ownership, you'll make real decisions about how systems are built, not implement someone else's spec Direct exposure to venture capital deal flow, LP relationships, and portfolio operations Work with leadership that understands technical tradeoffs and values engineering excellence Greenfield systems, you're building new infrastructure, not maintaining legacy code Path to platform business: deploy your systems across portfolio companies as a product Competitive compensation and the chance to shape the future of work by crafting your role directly
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