
Gig Engineer provides fast access to a global pool of engineers for on-demand project work. It is an AI-driven project delivery platform designed for engineering work, connecting full-time,…

Gig Engineer provides fast access to a global pool of engineers for on-demand project work. It is an AI-driven project delivery platform designed for engineering work, connecting full-time,…
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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.