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Co Founder & Cto Gulbarga (India)

LeadingVisit website ·Posted 6 days ago

Location

Kalaburagi, Karnataka, IN

About the Role

Co-Founder (CTO) | AI-Driven GTM Platform

We’re building a no-code GTM-AI platform where AI agents autonomously run go-to-market workflows—research, personalization, orchestration, and continuous learning. The GTM world is moving from disconnected tools to AI-led execution systems , and we already have paying customers validating this shift.

P. S -This is a co-founder role for someone who plans to build long-term and is willing to invest capital as part of that commitment. If this aligns with how you like to build and invest, please apply.

Where We Are

Live product with production GTM workflows

~$1,500 USD MRR and growing

Robust GTM, growth, and customer access from the founding team

Clear technical direction with room to shape the architecture

What We’re Building

Agentic AI workflows for real GTM teams

LLM-driven personalization and decisioning

Learning loops based on outcomes, not dashboards

Straightforward UX over complex intelligence

Who This Is For

This is a true co-founder role for someone who:

Has built AI workflows or agentic systems before

Is hands-on with LLMs, orchestration, tools, memory, RAG, and evaluation

Thinks in terms of ownership, not employment

Believes that shared risk builds shared conviction Is comfortable aligning early through both effort and capital to move faster and build right

What You’ll Own

End-to-end technical and AI architecture

Designing, shipping, and scaling agent systems

Turning resources into execution velocity

Co-leading product, strategy, and long-term direction

Building the foundation for a robust engineering org

This Is / Is Not

This is

A high-ownership, high-trust co-founder journey

Early stage, fast learning, real impact A role where commitment matters more than titles This is NOT:

A salaried CTO role A passive or low-involvement opportunity A comfort-first, playbook-driven job If you’re excited by 0 → 1 building , shared upside, and meaningful ownership—let’s talk.

HireIQ AI InsightsBeta

Ideal Candidate

Someone who has shipped agentic AI systems in production (not just prototypes), deeply understands LLM orchestration, RAG, and evaluation frameworks, and has founded or scaled early-stage technical products where they owned architecture decisions end-to-end.

Likely Interview Questions

  1. 1.Walk us through an agentic workflow you built—what was the learning loop mechanism, how did you handle hallucination/failure modes, and what surprised you about production vs. sandbox?
  2. 🔒 4 more questions locked — unlock with Professional + run a full mock interview

🔒 Strengths to highlight + red flags locked.

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