Technical Product Manager QVAC (AI)

TL;DR

Technical Product Manager QVAC (AI): Building next-generation Local AI applications combining on-device intelligence, privacy-first design, and decentralized infrastructure with an accent on edge computing, model optimization, and peer-to-peer ecosystems. Focus on defining product vision, owning end-to-end lifecycle, translating complex AI capabilities into user-centric experiences, and driving roadmaps in a fast-paced innovation environment.

Location: Fully remote (global), posted for South Africa

Company

Partner company building cutting-edge Local AI and decentralized technology products.

What you will do

• Define and lead product vision and strategy for Local AI applications aligned with business and tech objectives.
• Own end-to-end product lifecycle including roadmap, prioritization, delivery, and optimization.
• Collaborate with engineering, design, and cross-functional teams to build scalable AI-powered apps.
• Translate AI/edge computing into intuitive product experiences via wireframes, prototypes, and specs.
• Engage users and teams to identify opportunities, track KPIs, and iterate based on data.
• Drive go-to-market strategy and manage stakeholder alignment.

Requirements

• 8+ years product management experience, including 3+ years on AI-powered applications.
• Strong understanding of AI/ML: on-device inference, edge computing, model optimization, privacy systems.
• Proven roadmap execution for complex technical products.
• Close collaboration with engineering in technical environments.
• Feature design, prioritization, user needs translation, prototyping skills.
• Excellent communication, stakeholder management, agile/Scrum, analytics, KPIs.
• Bachelor’s in Business, CS, Engineering or related.

Nice to have

• Experience with local AI frameworks (TensorFlow Lite, Core ML, ONNX), blockchain/P2P, UX/UI, GDPR/CCPA.

Culture & Benefits

• Fully remote and global work environment.
• High-impact ownership over product vision and strategy.
• Collaboration with world-class engineering and AI teams.
• Fast-paced, innovation-driven culture emphasizing experimentation and outcomes.
• Exposure to advanced AI, edge computing, P2P ecosystems.
• Career growth in emerging AI technology domains.