We're looking for an exceptional

CTO / Founding Technology Leader

to lead technology vision, AI architecture, product engineering, and technology strategy for SkillsCapital's next major opportunity:

a new AI-native Career Intelligence platform for technology professionals globally . This is a

builder's role , not a traditional CTO role focused mainly on managing teams, maintaining systems, or executing an established roadmap. You are

not starting from zero . SkillsCapital has already built and deployed an

AI-Native Talent Engine, proprietary Talent Intelligence capabilities, and Agentic AI-driven end-to-end workflows . These systems are

operational, production-ready, and deployed in business workflows and customer environments . You'll work with founders and leadership to extend this foundation into B2C at the intersection of

AI, Talent Intelligence, CareerTech, professional technology, and future of work .

About SkillsCapital SkillsCapital 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, matching/evaluation, semantic intelligence, workflow automation, talent data, expert validation, and deployment-readiness intelligence . The AI-Native Talent Engine combines talent intelligence, AI matching, evaluation, workflow automation, and decision support. Our Agentic AI workflows cover sourcing, intelligence, evaluation, matching, shortlisting, submissions, and related processes. These are

not experimental prototypes; they are operational and deployed in business workflows . The core AI, intelligence, workflow, and platform foundation already exists.

Our Journey We have a

production-ready AI-native Talent Intelligence platform, AI-Native Talent Engine, proprietary intelligence/matching/evaluation capabilities, and operational Agentic AI workflows ; customers across the

U.S., U.K., Europe, Australia, and Middle East ; a

multi-million-dollar annual run rate ; profitability without external funding; and a vetted technology-professional network. Leadership experience includes

IBM, Accenture, PwC, Deloitte, Trilogy, ESW Capital , plus

Wharton, London Business School, IIT Delhi, IIIT Hyderabad, and BITS Pilani .

The Vision: AI Career Intelligence We are building an

AI-native Career Intelligence platform for technology professionals

combining

professional intelligence, market intelligence, AI-powered recommendations, personalized insights, and intelligent workflows

to help professionals understand, manage, and advance their careers. Rather than another resume tool, job portal, or career application, the goal is a

new intelligence layer around the professional and their career journey . It will leverage

Talent Intelligence + AI + Semantic Intelligence + Matching + Evaluation + Agentic Workflows + Technology-Market Intelligence

for new AI-powered professional experiences. This is a

large, global AI/Talent/CareerTech/Future of Work opportunity ; the roadmap will evolve through customer discovery, experimentation, and technology innovation. The CTO will define

the platform, intelligence architecture,



technology extension, and global scaling strategy .

What You'll Own 1. Extend the Existing AI Foundation Evolve the

AI-Native Talent Engine, Talent Intelligence platform, matching/evaluation systems, Agentic AI workflows, semantic intelligence, and data/intelligence infrastructure

for the B2C Career Intelligence opportunity.

2. Define Technology Vision Define the long-term technology architecture and engineering strategy.

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, AI agents, RAG, semantic search, recommendation systems, machine learning, knowledge graphs, structured intelligence, and workflow automation

for differentiated product experiences.

5. Build the Product Work with founders/product leadership to turn the vision into production, deciding

what to build, reuse, redesign, automate, where AI belongs, and how intelligence is generated/evaluated .

6. Build Scalable Architecture Design a

scalable, secure, cloud-native platform

for a growing global user base.

7. Build AI Evaluation & Quality Systems Establish rigorous evaluation of

AI quality, recommendations, matching, ranking, personalization, reliability, accuracy, agent performance, and user outcomes .

8. Lead Engineering Initially this is a

hands-on builder role , contributing across architecture, critical systems, AI infrastructure, and product engineering. As the platform scales, build and lead the engineering and AI organization.

9. Build Data & Intelligence Platform Extend existing intelligence infrastructure for the B2C platform and growing users.

10. Shape Product & Business Strategy Work with founders on

product strategy, technology roadmap, AI strategy, data strategy, differentiation, monetization, partnerships, scaling, and global expansion .

What We're Looking For We value

capability, ownership, technical depth, product thinking, and execution

over titles or years of experience. You may be a strong fit with: Experience building/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 distributed systems, APIs, data platforms, and modern engineering knowledge Experience with search, recommendation, matching, personalization, or decision systems Strong product thinking and 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, CareerTech, HRTech, Talent Intelligence, EdTech, Market Intelligence, Recommendation Systems, Search, Knowledge Graphs, Agentic AI, LLM applications,



Personalization, Marketplace platforms, and Professional networks .

Technology Stack AI/LLMs:

OpenAI, Anthropic, Gemini, open-source models, LLM orchestration, AI agents, RAG, AI evaluation, structured outputs. Intelligence/Data:

Semantic search, embeddings, vector databases, knowledge graphs, recommendation/ranking, entity resolution, data pipelines. Engineering:

Python, TypeScript/JavaScript, 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 choosing the right technology for the problem.

Why This Opportunity Don't start from zero

— leverage an operational AI/Talent Intelligence foundation Build a potentially

category-defining AI-native consumer platform Extend the

AI-Native Talent Engine

and

Agentic AI workflow platform Work directly with founders and shape technology/product strategy Own architecture and build sophisticated AI/intelligence systems Apply Talent Intelligence to a massive new market Build the technology organization from an early stage Work across AI, data, product, engineering, and business strategy Help define how AI can change career decision-making

Why SkillsCapital? SkillsCapital can

build, commercialize, and operate AI-native technology products , with a

production-ready Talent Intelligence platform, proprietary AI-Native Talent Engine, operational Agentic AI workflows, multi-million-dollar annual run rate, profitable business, global customers, and a vetted technology-professional network .

Compensation & Ownership This senior leadership opportunity offers

significant long-term upside , including: Meaningful equity / ownership Long-term wealth creation High-impact strategic ownership Competitive structure based on experience and commitment Upside tied to product, technology, and business growth For the right person, this can evolve into a

true founding technology leadership position

with meaningful value participation. Best suited to someone excited by

ownership, building from the ground up, AI, product creation, scale, long-term value creation, and entrepreneurial risk/reward . It is

not

for a conventional corporate CTO role with a large existing team, established processes, and fixed roadmap, or someone seeking high fixed salary without accountability, execution, or long-term commitment. Build the

technology, product, and organization alongside the founders .

How to Apply Send your resume to

with: Why this prospect excites you Links to products, AI systems, platforms, or companies you've helped build GitHub / portfolio / LinkedIn, if applicable Significant technology/product decisions you've owned Experience with

AI / LLMs / consumer products / recommendation or intelligence systems Expectations around

compensation and ownership We care more about

what you've built and problems you've solved

than your title. If you want to transform an

operational AI-native foundation

into a globally scalable

AI Career Intelligence platform , we'd love to hear from you. We will only consider email applications with a thoughtful note showing genuine interest, alignment, and clarity on expectations and compensation.

📌 CTO / Founding Technology Leader — Global AI-Native Tech Talent Venture (Mumbai)
🏢 SkillsCapital
📍 Mumbai