Technical Product Manager QVAC (AI)

TL;DR

Technical Product Manager QVAC (AI): Define and drive the product vision for next-generation Local AI applications that combine on-device intelligence, privacy-first design, and decentralized infrastructure. Focus on owning end-to-end product lifecycle, translating complex AI and edge computing capabilities into scalable user-centric experiences, and shaping roadmaps for high-performance edge AI products.

Location: Austria, fully remote

Company

Building cutting-edge Local AI applications with privacy-preserving systems and decentralized peer-to-peer ecosystems.

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 refine direction, define KPIs, and drive go-to-market strategy.
• Evaluate performance with data insights 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, prototypes with modern tools
• Excellent communication, stakeholder management, agile/Scrum, analytics, KPIs; Bachelor’s in relevant field

Nice to have

• Local AI frameworks (TensorFlow Lite, Core ML, ONNX)
• Blockchain/P2P systems, UX/UI best practices, data privacy regs (GDPR/CCPA)

Culture & Benefits

• Fully remote and global work environment
• High-impact ownership over product vision in fast-paced innovation culture
• Collaboration with world-class engineering and AI teams
• Exposure to advanced AI, edge computing, P2P ecosystems
• Career growth in emerging privacy-first AI domain