AI Product Manager

Job Title: AI Product Manager Company: Araxi Group Job Category: Machine Learning Roles & Responsibilities: Role: AI Product Manager * Maintain a practical understanding of the AI landscape and emerging technologies. Work with researchers, ML engineers and architects to assess models and solution approaches against product requirements. Frame trade\-offs involving quality, response time, cost, explainability, security and deployment constraints. Request relevant benchmarks and experiments to support decisions and revisit choices as evidence changes. Delivery and lifecycle responsibilities * Define required data sources, formats, coverage, volumes, quality checks and labelling needs with specialist teams. Coordinate access and permitted use with data owners. Identify gaps and preparation dependencies, and incorporate them into delivery estimates and the roadmap. Document relevant data handling constraints for review by the appropriate control teams. 7 Monitor performance and improve the product 8 Coordinate responsible AI and release readiness * Engage governance, risk, security, legal and compliance stakeholders early. Explain the product purpose, functionality, inputs and outputs, data handling, limitations and proposed controls. Incorporate their requirements into the backlog and release process. Coordinate evidence for review and ensure product claims reflect demonstrated capability. Maintain visibility of approvals, operational ownership and unresolved risks. * Develop the value proposition and product positioning. Understand the full cost of data, models, infrastructure, integration, operations and human review. Compare relevant subscription, consumption and outcome\-based pricing approaches where applicable. Assess cost per successful outcome and sensitivity to usage. For internal products, work with Finance and business owners on transparent consumption measures, cost allocation and transfer\-pricing proposals. * Align business and technical stakeholders around priorities, delivery expectations and product outcomes. Support training, change management and user adoption. Track realised benefits against the business case and review whether the product should expand, change or retire. Manage budget and supplier dependencies with the relevant owners and communicate decisions and progress clearly. Researchers, engineers and architects own technical implementation and specialist design decisions within their mandates. Governance and control functions retain their approval responsibilities. Finance and business owners agree pricing and internal charging arrangements with the product manager. * Experience developing business cases, financial models, ROI assessments, cost\-benefit analyses, and pricing strategies for digital, data, or AI\-enabled products and services * Strong stakeholder engagement experience, with a proven ability to communicate complex technical concepts to business audiences, facilitate decision\-making, and support change management and adoption initiatives Work Location: Johannesburg, GP, South Africa Availability: Full time

5 Specify data requirements and readiness Qualifications and experience Preferred Qualifications * Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Business Science, or a related field. * Professional certifications in Product Management (PSPO, CSPO, SAFe POPM), Agile Delivery, Business Analysis (CBAP, PMI\-PBA), or AI and Data disciplines. * Experience delivering AI, analytics, digital transformation, or enterprise technology initiatives Key Skills: Machine Learning Salary: Not disclosed