Chief Technology Officer

Teqconnect; United States; On-site; USD 180,000 - 250,000; Full time

Job summary

A fast-growing agency AI company is looking for a Chief Technology Officer (CTO) to lead their technology strategy and digital transformation. The ideal candidate should have extensive experience in software development and senior leadership roles, preferably within AI/ML environments. This role involves architecting a scalable platform and scaling teams effectively. Competitive compensation and an innovative work environment await the right leader.

Qualifications

• 10+ years of software development experience.
• 5+ years in senior technical leadership (e.g., VP Engineering, CTO).
• Experience in architecture, engineering, or product management at an AI lab or FAANG company.

Responsibilities

• Define and execute the technology strategy.
• Lead digital transformation initiatives.
• Architect a scalable, secure, and high-performing platform.

Skills

Software development experience

Technical leadership

B2B SaaS scaling

Large Language Models expertise

Job description

Teqconnect is hiring a CTO on behalf of a fast‑growing agency AI company that’s transforming how service teams scale. Their no‑code AI agents function as digital employees handling bookings, support, and customer interactions with seamless integration into CRMs, smart speakers, and enterprise tools. Fast to deploy, easy to customize, and built for measurable impact.

They’re now seeking a CTO who will be the technical and strategic leader behind their global success. You’ll define and execute the technology strategy, lead digital transformation, and architect a scalable, secure, and high‑performing platform for our AI Agents.

Ideal Profile

• 10+ years of software development experience.
• 5+ years in senior technical leadership (VP Engineering, VP Product, or CTO).
• Startup experience – understands how to scale teams from the ground up to 100+.
• Recent experience (within 24 months) in architecture, engineering, or product management at an AI lab or FAANG company (Google, Amazon, Meta, Microsoft, Apple).
• Proven experience scaling B2B SaaS products in the AI/ML space.
• Deep expertise in Large Language Models (LLMs), including fine‑tuning, RAG, and latency/cost optimization.
• Track record delivering large‑scale technical projects for U.S.-based enterprise clients.