AI – Factory - Product Owner (6-12-month-contract)

• *Employment Type**

Contract (6–12 Months) • *Location**

Cape Town or Johannesburg • *Job Description** • *Product Owner (AI Factory)** • *Gig Engineer**

is seeking an experienced • *AI-Factory Product Owner**

on behalf of its client. • *Inherent/Minimum requirements:** • *Educational Qualifications**

BSc Comp Sci/Information Systems or related

Strong Engineering Capability • *Experience** • Digital product management experience • Agile methodology expertise • Strong commercial awareness • AI or advanced analytics exposure preferred • 5–10 years in product ownership or digital product roles. • *JOB PURPOSE** • *Project Background**

The company’s AI platform (often referred to as the AI Factory) is a locally hosted, enterprise-grade AI platform and ecosystem designed to accelerate . It combines high-performance infrastructure, curated models, and services to help organisations build, integrate, and deploy AI solutions quickly and securely.

The platform is powered by NVIDIA AI technology and hosted in local AI-ready data centres, ensuring compliance with South African regulatory and data sovereignty requirements, a key differentiator for enterprises navigating global AI adoption.

It enables both • Enterprise consumption of AI services (AI-as-a-Service, on-demand models and capabilities) • Organisation-specific AI development (proprietary model development, integration, and scaling)

This blended approach means the execution teams will operate within a governed, supported, and scalable AI delivery ecosystem, consuming approved models and infrastructure while integrating solutions that deliver real value. The platform emphasises • Data sovereignty and regulatory alignment, with data and compute hosted in South African jurisdictions compliant with local laws. • Scalable AI infrastructure, including accelerated computing and curated AI models. • Consulting and managed services support, backed by certified AI expertise. • *Role Purpose**

To Own solution backlog and delivery roadmap to ensure measurable business outcomes from AI deployments. • *KEY RESPONSIBILITIES** • Backlog prioritisation • Sprint and release planning • Stakeholder management • Outcome tracking and reporting • Go/no-go facilitation • Alignment with AI Hosting standards • *Additional Responsibilities**

COMMUNICATION & WORKING RELATIONSHIPS (Optional) • *Internal Stakeholders:**

Stakeholder & Purpose of Interaction • *External Stakeholders:**

Stakeholder & Purpose of Interaction • *QUALIFICATIONS, EXPERIENCE & SKILLS** • *Educational Qualifications** • Degree in Computer Science, Information Systems, or related • *Experience**

5–10 years in product ownership or digital product roles. Technical & Functional Skills • Outcome orientation • Strategic thinking • Accountability • Decisiveness • Stakeholder influence • *Other Requirements** • (E.g., travel, security clearance, work permits, or special conditions.) • *BEHAVIOURAL COMPETENCIES**

(The incumbent is expected to demonstrate the following competencies:) • Structured thinking • Stakeholder management • Analytical discipline • Commercial awareness • Clear communication • *Application Process**

Interested candidates can apply directly to the job ad or by submitting their CV and a summary of relevant experience with the role title in the subject line to tavonga@gigengineer.io.

Depending on the response, we may not be able to respond individually to all applicants; therefore, if you have not received a response within four weeks from your submission date, please consider your application unsuccessful.