Senior AI Product Leader — Strategy & Roadmap (Hybrid)

Placements24

Vereeniging

Hybrid

ZAR 1,200,000 - 1,800,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
AI product leadership
Career growth opportunities
Hybrid work environment
Collaborative culture
Shaping AI products in Vereeniging

Job summary

Placements24 in Vereeniging, Gauteng is seeking a Senior AI Product Manager to define the strategy and roadmap for AI products. You will bridge business needs, user requirements, and technical feasibility to deliver market-ready solutions.

The role requires deep AI/ML knowledge, strong market insight, and end-to-end product lifecycle experience, with a hybrid work setup in Vereeniging.

Qualifications

  • Bachelor’s degree in CS, Engineering, Business; MBA or Master’s preferred.
  • 7+ years in product management with AI/ML focus.
  • Strong understanding of AI/ML concepts and business applications.
  • Experience with Agile development methodologies.
  • Excellent cross-functional collaboration and communication.

Responsibilities

  • Define and articulate the product vision, strategy, and roadmap for AI-powered products.
  • Conduct market research, competitive analysis, and user studies to identify opportunities.
  • Translate strategy into detailed requirements, user stories, and specs.
  • Prioritize features and manage the product backlog effectively.
  • Collaborate with engineering throughout the lifecycle from concept to launch.
  • Develop go-to-market strategies and product positioning with marketing and sales.
  • Monitor performance, gather feedback, and iterate on features.
  • Act as the product evangelist to stakeholders.

Skills

AI product management
Stakeholder leadership
Agile methods
Market analysis

Education

Bachelor’s degree in CS/Engineering/Business
MBA or Master’s preferred

Job description

Placements24 in Vereeniging, Gauteng is seeking a Senior AI Product Manager to define the strategy and roadmap for AI products. You will bridge business needs, user requirements, and technical feasibility to deliver market-ready solutions.

The role requires deep AI/ML knowledge, strong market insight, and end-to-end product lifecycle experience, with a hybrid work setup in Vereeniging.

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