CTO​/Founding Technology Leader — Global AI-Native Tech Talent Venture

Position: CTO / Founding Technology Leader — Global AI-Native Tech Talent Venture
Founding CTO / Technology Leader – AI Career Intelligence About the Opportunity Skills Capital is looking for an exceptional  Chief Technology Officer (CTO) / Founding Technology Leader  to lead the technology vision, AI architecture, product engineering, and technology strategy behind our next major growth opportunity: a global  AI-native Career Intelligence platform for technology professionals .
This is  not a traditional CTO role  focused on managing engineering teams, maintaining existing systems, or executing a fixed roadmap. It is a  builder's role .
You are not starting from zero. Skills Capital already has an operational technology foundation, including an  AI-Native Talent Engine, proprietary Talent Intelligence capabilities, and Agentic AI-driven workflows  deployed in real business environments.
Your opportunity is to extend this foundation into a new B2C opportunity at the intersection of  AI, Talent Intelligence, Career Tech, professional technology, and the Future of Work .
You'll work directly with the founders and leadership team to architect and build the next generation of AI-powered products.
About Skills Capital Skills Capital is an  AI-native Talent Intelligence platform  helping organizations discover, evaluate, and deploy specialized technology talent across SAP, Cloud, AI/ML, Software Engineering, Cybersecurity, Data, and Enterprise Technology.
Our platform combines:
AI-Native Talent Intelligence
AI-powered Talent Engine
Agentic AI
Intelligent matching and evaluation
Semantic intelligence
Workflow automation
Talent data and intelligence
Expert-led validation
Deployment-readiness intelligence
These capabilities are  production-ready, operational, and deployed in real business workflows .
Over the past year, we have:
Built and launched a production-ready AI-native Talent Intelligence platform
Built and deployed an AI-Native Talent Engine
Developed proprietary Talent Intelligence, matching, evaluation, and recommendation capabilities
Built Agentic AI-driven end-to-end workflows
Established customer relationships across the US, UK, Europe, Australia, and Middle East
Achieved a  multi-million-dollar annual run rate
Bootstrapped the business to profitability without external funding
Built a growing network of deeply vetted, deployment-ready technology professionals
We are now applying this technology foundation to  AI Career Intelligence for individual professionals .
The Vision: AI Career Intelligence We are building an  AI-native Career Intelligence platform for technology professionals .
The vision is to create a more intelligent way for professionals to understand, manage, and advance their careers by combining:
Professional Intelligence + Market Intelligence + AI-powered Recommendations + Personalized Insights + Intelligent Workflows
Rather than another resume tool, job portal, or career application, we aim to build a  new intelligence layer around the professional and their career journey .
The platform will leverage:
Talent Intelligence + AI + Semantic Intelligence + Matching + Evaluation + Agentic Workflows + Technology-Market Intelligence
The roadmap will evolve through customer discovery, experimentation, and technology innovation.
The CTO will define what this platform becomes, how its intelligence layer is architected, how existing technology is extended, and how the platform scales globally.
What You'll Own
1. Extend the Existing AI Foundation Leverage and evolve the AI-Native Talent Engine, Talent Intelligence platform, matching and evaluation systems, Agentic AI workflows, semantic intelligence, and data infrastructure for the B2C Career Intelligence opportunity.
2. Define Technology Vision Own the long-term technology architecture and engineering strategy for the Career Intelligence platform.
3. Architect the Intelligence Layer Design architecture supporting professional intelligence, market intelligence, recommendations, personalization, and AI-powered workflows.
4. Lead AI & LLM Strategy Determine how to use:
LLMs and AI agents
RAG
Semantic search
Recommendation systems
Machine learning
Knowledge graphs
Structured intelligence
Workflow automation
to create differentiated product experiences.
5. Build the Product Work with founders and product leadership to turn the vision into a production product. Determine what to build, reuse, redesign, automate, and where AI should be applied.
6. Build Scalable Architecture Design a  secure, scalable, cloud-native platform  capable of supporting a rapidly growing global professional user…