Founding project lead / AI Engineer / Investor operations builder

Project: Exponentials – AI-Powered Personalized Discovery Platform Overview Exponentials is an AI-powered personalized discovery platform built around a simple but ambitious idea: The internet is optimized for search, advertising, and recommendation systems that push information toward users. We believe the next major category is personalized discovery: AI systems that understand intent and help users discover the most relevant products, services, experiences, education, healthcare resources, media, travel opportunities, software, and knowledge. We have already built a working investor-facing prototype: https://pull-discovery-core.base44.app The current demo allows users to enter natural-language queries and receive AI-generated discovery recommendations across multiple categories. Rather than simply returning traditional search results, the platform attempts to identify user intent, explain why recommendations were selected, and surface relevant discoveries spanning products, experiences, education, media, travel, wellness, software, and more. The visual design and core concept are strong. The next stage is transforming the prototype into a compelling investor-ready product while building the systems, automation, and fundraising infrastructure needed to support rapid growth. This is not a typical freelance coding project. We am looking for someone who can operate as a founding-level contributor and help bridge product development, investor readiness, fundraising operations, and strategic execution. Primary Mission Your primary mission is to help Exponentials become significantly more attractive to investors, strategic partners, and future customers. This includes strengthening the product itself, improving investor confidence, and creating the operational systems needed to raise capital efficiently. Primary Responsibilities Investor Readiness and Fundraising Infrastructure This is the highest-priority responsibility. Help design and implement systems that support fundraising, including: Investor CRM Investor pipeline management Investor segmentation Relationship tracking Outreach automation Follow-up systems Meeting scheduling workflows Investor updates Data room organization Due diligence preparation Fundraising dashboards Pipeline analytics Experience with tools such as HubSpot, Airtable, Clay, Notion, Apollo, Instantly, Zapier, Make, Gmail automation, and similar platforms is highly valuable. Investor Demo Optimization The Exponentials demo is intended to help investors understand the long-term vision of personalized discovery. Responsibilities include: Improving demo quality Strengthening credibility Improving recommendation quality Eliminating weak or broken experiences Creating compelling investor journeys Improving onboarding Improving first impressions Increasing confidence in the product vision The goal is to create a demo that immediately communicates why Exponentials could become an important platform category. Discovery Engine Improvement The product currently attempts to identify intent and recommend discoveries across multiple industries. Areas of focus include: Intent detection Entity discovery Recommendation quality Result ranking Trust and credibility Explanation systems Entity resolution Verified recommendations Multi-category discovery experiences Categories include: Ecommerce Education Healthcare Media Travel Experiences Restaurants Wellness Software Consumer products Experience with recommendation systems, search, retrieval, ranking, AI workflows, knowledge systems, or discovery products is highly desirable. Exponentials Investment Thesis Why this is inevitable — 8 core arguments 1 Exponentials is solving the AI backlash via the co-evolution of AI and humans in the service of human needs, and thus moving from the current extraction model of AI to a collaborative model. For Exponentials, this is moving past discovery silos to create unified discovery across (initially, $25 trillion TAM) Ecommerce, healthcare, education and media. This is accomplished through the combination of Search, LLM's and World models 2 AI can't be (optimally) successful if too many of its (potential) customers are fearful of or dislike AI 3 AI is feared and disliked (in addition to loved), as customers are smart enough to realize that AI is employing an extraction model on humans rather than a collaborative model with humans in the service of human needs 4 Major tech CEO's telling the public that they are wrong to have negative views about AI is insulting one's customer 5 If the AI industry wants to get into a war with the public it will be a stalemate at best. AI has enough perceived benefits already and the AI companies are powerful enough that they can impose their will on the public to a certain degree, but 6 It is inevitable that the AI companies who actually give the customers what they want and what truly benefits them, by flipping from the push to the pull model, will have a sustainable competitive advantage, with both inevitability and defensibility. 7 Famously, the future is already here. It is just not evenly distributed. And famously, there is nothing more powerful than an idea whose time has come. 8 We are not selling technology. We are not selling a model of AI. We are selling an empowered path for humanity that is inevitable and defensible because the AI backlash is real and not sustainable long term.