AI Product Manager at Jobgether

, , South Africa -

Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AI Technologies, Data Pipelines, Model Lifecycle Management, Product Analytics, User-Centric Requirements, Communication Skills, Leadership Skills, Cross-Functional Collaboration, Analytical Mindset, Metrics, Experimentation, Problem-Solving, Innovation, Agility, Business Value

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a AI Product Manager in South Africa. In this role, you will lead the development and enhancement of AI-powered products that drive measurable business impact across multiple regions. You will collaborate with engineering, data science, and business teams to define clear product strategies rooted in user needs and market insights. The position involves shaping feature roadmaps, ensuring high-quality delivery, and continuously iterating based on performance metrics. You will also help establish best practices for AI product development while contributing to a culture of innovation. With a strong focus on problem-solving, you will guide teams through ambiguity and deliver scalable, value-driven solutions. \n Accountabilities: Define the end-to-end product vision, strategy, and roadmap for AI and data-driven solutions. Collaborate with cross-functional teams — including engineering, data science, and operations — to scope, prioritize, and deliver impactful features. Translate business needs and user feedback into detailed requirements and product specifications. Monitor product performance using analytics and experimentation to optimize outcomes and ensure scalable adoption. Lead product discovery, ideation, and validation processes to guide strategic decision-making. Ensure the successful launch and lifecycle management of AI products across multiple markets. Requirements: Proven experience as a Product Manager working on AI, data, or machine-learning products. Strong understanding of AI technologies, data pipelines, model lifecycle management, and product analytics. Ability to translate technical concepts into user-centric product requirements and business value. Excellent communication, leadership, and cross-functional collaboration skills. Experience working in fast-paced environments and managing complex product roadmaps. Strong analytical mindset with the ability to use metrics and experimentation to guide decisions. Benefits: Competitive compensation package and performance-based incentives. Remote-friendly work environment with flexibility across global locations. Opportunities for continuous learning and professional development. Collaborative culture focused on innovation, impact, and growth. Health coverage and additional wellbeing benefits depending on location. Access to cutting-edge AI tools and resources. \n Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1

Responsibilities

Lead the development and enhancement of AI-powered products while collaborating with engineering, data science, and business teams. Shape feature roadmaps, ensure high-quality delivery, and iterate based on performance metrics.