16 Sep
|
SkillsCapital
|
Indore
16 Sep
SkillsCapital
Indore
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 Own1. 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.
1. Define Technology Vision Own the long-term technology architecture and engineering strategy for the Career Intelligence platform.
2. Architect the Intelligence Layer Design architecture supporting professional intelligence, market intelligence, recommendations, personalization, and AI-powered workflows.
3. 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.
1. 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.
2. Build Scalable Architecture Design a secure, scalable, cloud-native platform capable of supporting a rapidly growing global skilled user base.
3. AI Evaluation & Quality Build systems to evaluate AI quality, recommendations, matching, ranking, personalization, reliability, accuracy, agent performance, and user outcomes.
4. Lead Engineering Initially, this is a hands-on builder role , contributing directly across architecture, critical systems, AI infrastructure, and product engineering. As the platform scales, build and lead the engineering and AI organization.
5. Data & Intelligence Platform Extend existing intelligence infrastructure to support the B2C platform and growing professional user base.
6. Product & Business Strategy Work with founders on product strategy, technology roadmap, AI/data strategy, differentiation, monetization, partnerships, scaling, and global expansion.
What We're Looking For We value technical depth, capability, ownership, product thinking, and execution more than titles or years of experience.
You may be a strong fit if you have: Experience building or scaling AI, SaaS, or consumer technology products
Strong software architecture skills
Deep understanding of modern AI ecosystems and LLMs
Experience with AI agents or intelligent automation
Scalable cloud-native architecture experience
Strong knowledge of distributed systems, APIs, data platforms, and modern engineering
Experience with search, recommendation, matching, personalization, or decision systems
Solid product thinking
A hands-on approach
Experience building and leading engineering teams
Ability to work directly with founders
Ability to operate in ambiguous, fast-moving environments
Particularly valuable: Consumer AI / Generative AI
Career Tech / HRTech / Talent Intelligence
EdTech / Market Intelligence
Recommendation Systems / Search
Knowledge Graphs
Agentic AI / LLM applications
Personalization platforms
Marketplaces / Professional networks
Technology Stack Experience across the following areas is valuable:
AI & LLMs: OpenAI, Anthropic, Gemini, open-source models, LLM orchestration, AI agents, RAG, AI evaluation, structured AI outputs.
Intelligence & Data: Semantic search, embeddings, vector databases, knowledge graphs,
recommendation systems, ranking systems, entity resolution, data pipelines.
Engineering: Python, Type Script/Java Script, React, Next.js, Node.js, FastAPI, PostgreSQL, Redis.
Infrastructure: AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD, cloud-native architecture.
The exact stack matters less than your ability to choose the right technology for the problem .
Why This Opportunity? You will have the prospect to: Leverage an existing operational AI and Talent Intelligence foundation
Build a potentially category-defining AI-native consumer platform
Extend the AI-Native Talent Engine
Build on operational Agentic AI workflows
Work directly with founders
Shape technology and product strategy
Own major architectural decisions
Build sophisticated AI and intelligence systems
Apply existing Talent Intelligence capabilities to a new market
Build a technology organization from an early stage
Work across AI, data, product, engineering, and business strategy
You're joining where a functioning AI-native technology foundation already exists , with the challenge of extending, evolving, and scaling it into a new market.
Why Skills Capital? Skills Capital has demonstrated its ability to build, commercialize, and operate AI-native technology products .
We already have: AI-Native Talent Intelligence Platform — Production-ready technology supporting specialized talent intelligence.
AI-Native Talent Engine — Proprietary intelligence and decision engine powering talent workflows.
Commercial Traction — Multi-million-dollar annual run rate with a profitable, independently funded business.
Global Market Presence — Customers and relationships across the US, UK, Europe, Australia, and Middle East.
Deep Talent Intelligence — Growing network of deeply vetted technology professionals and proprietary intelligence capabilities.
The B2C Career Intelligence platform represents the next major growth opportunity built on this foundation.
Compensation & Ownership This is a senior leadership opportunity with significant long-term upside, including: Meaningful equity / ownership opportunity
Long-term wealth creation potential
High-impact strategic ownership
Competitive structure based on experience and commitment
Significant upside tied to product, technology, and business growth
For the right person, this can evolve into a true founding technology leadership position with meaningful participation in the value created.
This is not designed for someone seeking a conventional corporate CTO role with a large established team, fixed roadmap, or high fixed salary without accountability and execution.
It is best suited for someone excited by ownership, AI, product creation, scale, and long-term value creation .
How to Apply Send your resume to with: A short note explaining why this opportunity excites you
Links to products, AI systems, platforms, or companies you've helped build
Your Git Hub, portfolio, or Linked In, if applicable
Examples of significant technology or product decisions you've owned
A brief note on your experience with AI, LLMs, consumer products, recommendation, or intelligence systems
Your expectations around compensation and ownership
We care more about what you've actually built and the problems you've solved than your title.
If you want to take an already operational AI-native technology foundation and help transform it into a globally scalable AI Career Intelligence platform , we'd love to hear from you.
📌 CTO / Founding Technology Leader — Global AI-Native Tech Talent Venture (Indore)
🏢 SkillsCapital
📍 Indore