CTO 16403

Somewhere; Johannesburg; Remote; ZAR 2 230 000 - 3 432 000; Full time

Job summary

A technology company is seeking a Chief Technology Officer (CTO) to architect and lead their AI-driven data intelligence platform. The role requires expertise in integrating major AI ecosystems and managing technical teams. The ideal candidate should have extensive experience in software engineering and proficiency in data scraping and automation tools. This is a full-time remote position with the opportunity to shape the company's technical strategy.

Qualifications

• 5 years in software engineering, machine learning, or AI workflow design.
• Proficiency in Python plus familiarity with modern AI/automation stacks.
• Strong background in data scraping, fuzzy matching, entity resolution, and/or geolocation.

Responsibilities

• Design and implement AI platform architecture.
• Configure and optimize multi-model pipelines for performance.
• Manage short-term contractors or external technical resources.

Skills

Expertise with Anthropic Claude

Expertise with OpenAI ChatGPT

Expertise with Perplexity

Software engineering experience

Data scraping expertise

Fuzzy matching

API configuration

Automation tools

Python proficiency

Good communication skills

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.