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: Turkey, fully remote

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 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 and prototypes.
• Engage users and teams to refine direction, define KPIs, and drive go-to-market strategy.
• Manage stakeholders and iterate products based on performance insights.

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

• Local AI frameworks (TensorFlow Lite, Core ML, ONNX)
• Blockchain/P2P systems, UX/UI best practices, 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 AI/engineering teams
• Exposure to advanced AI, edge computing, P2P ecosystems
• Career growth in emerging technology domains