Founding CTO/ AI engineer
Summary
Founding CTO/AI engineer who owns the technical build of an AI-powered fundraising agent that matches founders with investors via warm introductions across email, WhatsApp, phone and web. Day to day: shape product architecture from MVP to scale on serverless cloud, build responsible AI systems, and grow the engineering team alongside the CEO.
We are building an AI-powered fundraising agent that connects exceptional founders with the right investors through warm introductions, intelligent matching, and relationship intelligence. We are looking for a Founding CTO to lead the technical build, shape product and architecture from day one, and grow the engineering team as the company scales.
Experience Required: 7 - 12 years
Right now, who gets funded depends on who you happen to know. If you're in Silicon Valley with the right warm intros, you raise. If you're a brilliant founder in Lagos, Karachi, Bogotá or anywhere outside the default networks, you spend months in cold email purgatory, regardless of how good your company or non-profit is.
Tasks
- Translate real-world network behavior into structured data and intelligent, AI-driven workflows
- Own the product architecture from MVP to scale across email, WhatsApp, phone and web, on a secure, serverless cloud foundation
- Design AI systems with a strong focus on safety, fairness, privacy and transparency, ensuring recommendations and matching logic are responsible, explainable and free from harmful bias
- Implement best practices for AI governance, model evaluation and responsible data usage as the platform scales
- Understand user requirements and work with the CEO to build the technical strategy and roadmap
- Be hands on and build and lead the engineering team as the company grows
Requirements
- Strong AI engineering background, with hands-on experience building and scaling AI or data-driven products in production
- Experience building trustworthy AI products, including model evaluation, bias mitigation, privacy-preserving systems and safe deployment practices
- Deep technical familiarity with modern cloud and serverless infrastructure
- Ability to move fast from zero to one with limited resources
- Product-minded engineer who understands user behavior and real-world workflows (you prioritize frictionless data capture over clunky UI layers)
- Comfortable with ambiguity and shaping technical direction
- Experience in the venture ecosystem is a strong advantage
- Willing to work close to European hours
Benefits
- Build a product that meaningfully changes who gets funded
- Shape a new category of AI product, one that lives where people already work and acts on their behalf, not behind another chat window
- Founding equity, high ownership, real impact
- Work directly with a founder who has built and raised VC capital before (Cellcraft, Series A in progress)
- Shape the technical and ethical foundations of the product from day one
