Cto 16403

Somewhere; Remote; ZAR 2 540 000 - 3 557 000; Full time

Job summary

A global tech company is searching for a Chief Technology Officer (CTO) to lead their AI-driven data intelligence platform. This position requires a deep understanding of Anthropic Claude, OpenAI ChatGPT, and Perplexity, as well as a strong background in software engineering and data scraping. You will design and implement the AI architecture while managing contractors to ensure system performance. The role offers a chance to create an impactful AI infrastructure while scaling technical teams and aligning with U.S. business practices.

Qualifications

• 5 years in software engineering, machine learning, or AI workflow design.
• Hands-on expertise with Anthropic Claude, OpenAI ChatGPT, and Perplexity.
• Proficiency in Python plus familiarity with modern AI/automation stacks.

Responsibilities

• Design and implement AI platform architecture using core workflow engines.
• Configure and optimize multi-model pipelines for performance.
• Manage short-term contractors to deliver specialized components.

Skills

Anthropic Claude

OpenAI ChatGPT

Perplexity

Software engineering

Machine learning

Python

Data scraping

Fuzzy matching

Entity resolution

Geolocation

Tools

APIs

Automation tools

Data processing pipelines

Job description

Job Title : Chief Technology Officer (CTO)

Location : Remote (Global preference for candidates familiar with U.S. business culture)

Type : Full-Time

About the Role

We are seeking a highly technical and hands‑on Chief Technology Officer (CTO) to architect and lead the next phase of our AI‑driven data intelligence platform.

This role requires deep expertise in configuring and integrating multiple large language model (LLM) ecosystems specifically Anthropic Claude, OpenAI ChatGPT, and Perplexity to build scalable workflow‑based automation solutions.

You’ll be the company’s first full‑time developer building the foundation of our AI infrastructure.

Over time the position will evolve into a senior leadership role focused on scaling the technical team and overseeing system growth.

Key Responsibilities

Design and implement our AI platform architecture using Anthropic Claude, OpenAI ChatGPT, and Perplexity as core workflow engines.

Configure and optimize multi‑model pipelines to ensure interoperability and task‑specific performance.

Lead a buy‑and‑configure approach leveraging commercial AI platforms rather than building from scratch.

Build and refine data ingestion and automation workflows including web scraping, fuzzy data matching, and geolocation mapping for property records.

Create clean, scalable data structures to support accurate AI processing and reporting.

Evaluate, integrate, and maintain third‑party APIs ensuring system stability and flexibility.

Manage short‑term contractors or external technical resources to deliver specialized components.

Collaborate closely with leadership on product strategy, technical roadmap, and investor presentations.

Required Skills & Experience

Hands‑on expertise with all three major AI ecosystems : Anthropic Claude, OpenAI ChatGPT, Perplexity.

5 years in software engineering, machine learning, or AI workflow design.

Strong background in data scraping, fuzzy matching, entity resolution, and / or geolocation.

Proven experience configuring APIs, automation tools, and data processing pipelines.

Proficiency in Python plus familiarity with modern AI / automation stacks.

Experience selecting and managing contractors or small technical teams.

Excellent communication and documentation skills, with the ability to explain complex AI workflows to non‑technical stakeholders.

Understanding of U.S. business and investor communication norms.

Preferred Qualifications

Previous experience in proptech data intelligence or AI infrastructure.

Strong architectural vision for combining commercial AI APIs into a cohesive system.

Experience scaling technical teams from inception to early‑growth stages.

What Success Looks Like

A fully functional multi‑model AI infrastructure leveraging Claude, ChatGPT, and Perplexity for complementary use cases.

Automated data‑matching workflows that eliminate manual processing.

Clear documented systems enabling future engineers to onboard quickly.

Scalable infrastructure supporting rapid iteration and expansion.