Technical Product Manager QVAC (AI)

TL;DR

Technical Product Manager QVAC (AI): Define and drive product vision for 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 translating complex AI capabilities into scalable user-centric experiences, owning end-to-end product lifecycle, and iterating based on data-driven KPIs.

Location: Netherlands (Fully remote, global work environment)

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 on performance, engagement, and privacy.
• 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 tools.
• Bachelor’s in Business, CS, Engineering or related.

Nice to have

• Experience with 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-driven culture.
• Collaboration with world-class engineering and AI teams.
• Exposure to advanced AI, edge computing, P2P ecosystems.
• Career growth in emerging tech domains; focus on experimentation and outcomes.