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 from roadmaps to KPIs, and translating complex AI capabilities into scalable user-centric experiences.

Location: Canada (fully remote, global work environment)

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 roadmaps, prioritization, delivery, and optimization.
• Collaborate with engineering, design, and cross-functional teams to build scalable AI-powered apps.
• Translate AI and edge computing into intuitive user experiences via wireframes, prototypes, and specs.
• Engage users and teams to refine direction, track KPIs on performance, engagement, and privacy.
• Drive go-to-market strategy and manage stakeholder alignment.

Requirements

• 8+ years of product management experience, including 3+ years on AI-powered applications.
• Strong understanding of AI/ML concepts: on-device inference, edge computing, model optimization, privacy-preserving systems.
• Proven ability to define and execute roadmaps for complex technical products.
• Experience working closely with engineering in technical environments.
• Strong feature design, prioritization, user needs translation, mockups/prototypes with modern tools.
• Excellent communication, stakeholder management, agile/Scrum, analytics, KPIs; Bachelor’s in relevant field.

Nice to have

• Experience with local AI frameworks (TensorFlow Lite, Core ML, ONNX), blockchain/P2P systems.
• UX/UI best practices, data privacy regulations (GDPR/CCPA).

Culture & Benefits

• Fully remote and global work environment.
• High-impact role with 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 technology domains shaping privacy-first AI apps.