Member of Technical Staff at Crucibl

Job Title Member of Technical Staff Salary Not Disclosed Company Description Crucibl.ai is a profitable, San Francisco-based startup that raised a $10M seed from Khosla Ventures, Bessemer, and Coatue to build an AI-native consulting platform. Led by former Google and BCG veterans, they are replacing traditional management consulting with software that handles complex reasoning and data analysis for Fortune 500 clients. Job Description As a Member of Technical Staff, you will architect and build Crucibl.ai's core intelligence engine end-to-end. You'll design sophisticated reasoning pipelines and data ingestion systems that transform messy enterprise data into defensible insights. Working directly with the founders, you will define the engineering standards for a high-growth, AI-first platform serving global leaders today. Location San Francisco, USA Why this role is remarkable Join an elite team of ~15 people led by a CTO who scaled Google-level systems and a CEO with deep BCG and private equity expertise. Experience true seed-stage impact at a profitable company backed by Tier 1 investors like Khosla Ventures, Bessemer, and Coatue. Build at the frontier of AI where you move beyond simple models to creating complex reasoning engines that automate high-stakes business decisions. What You Will Do Design and implement the core intelligence engine, encompassing model orchestration, data ingestion, and reasoning pipelines from the ground up. Collaborate directly with the CTO and CEO to translate product vision into scalable, enterprise-grade architecture for Fortune 500 clients. Ship high-impact features across the full stack, ensuring the platform remains robust, evolvable, and capable of handling complex enterprise data. The Ideal Candidate Possesses an undeniable signal of technical excellence, such as early engineering experience at a successful startup or notable contributions to open-source systems. Demonstrates deep proficiency in modern software stacks and has a proven track record of shipping end-to-end products, not just isolated features. Thrives in high-ambiguity environments and thinks like an owner, bringing strong instincts for both AI/ML pipelines and enterprise infrastructure. #J-18808-Ljbffr Jack & Jill