What are the responsibilities and job description for the Founding CTO/ AI engineer position at RemoteStar?
About the role:
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.
About the company:
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.
The product is a personal AI fundraising agent for the most exceptional founders. It gets to know each founder, their stage and what they're raising, then makes the warm introductions that move their round forward.
It works both sides of that connection. For investors, it's a stream of qualified, pre-vetted founders matched to their real thesis, with the warm path already mapped, and far less noise than their inbox. Underneath, it's a relationship intelligence layer, part network operating system, part CRM, part autonomous agent, that learns from every interaction and gets sharper the more the network uses it.
It lives where founders and investors already work, across email, WhatsApp, phone and web. We're starting with women founders in Europe, and building toward every founder, in every market, who has been raising on the wrong side of the network.
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