Technical Product Manager QVAC (AI)

TL;DR

Technical Product Manager QVAC (Local AI): Building next-generation Local AI applications that combine on-device intelligence, privacy-first design, and decentralized infrastructure with an accent on translating complex technical capabilities into scalable, user-centric product experiences. Focus on owning end-to-end product lifecycle, roadmap development, feature prioritization, and driving go-to-market strategies for edge AI products.

Location: Fully remote (global), posted in Bulgaria

Company

Partner company developing cutting-edge Local AI applications with decentralized infrastructure.

What you will do

• Define and lead product vision and strategy for Local AI applications aligned with business 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 user experiences via wireframes and prototypes.
• Engage users and teams to refine direction, define KPIs, and iterate based on data insights.
• Drive go-to-market and manage stakeholder alignment across technical and executive teams.

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 and close engineering collaboration.
• Feature design, prioritization, user needs translation, interactive mockups/prototypes.
• Excellent communication, stakeholder management, agile/Scrum, product analytics, KPIs.
• Bachelor’s in Business, Computer Science, 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 (GDPR/CCPA).

Culture & Benefits

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