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 translating complex AI and edge computing capabilities into scalable, user-centric product experiences, owning end-to-end product lifecycle, and optimizing based on data-driven insights.

Location: Argentina / Fully remote and 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 capabilities into intuitive user experiences via wireframes, prototypes, and specs.
• Engage users and teams to identify opportunities, define KPIs, and drive go-to-market strategy.
• Manage stakeholders and iterate products based on performance data.

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/execute roadmaps for complex technical products.
• Experience collaborating with engineering in technical environments; feature design and prioritization.
• Ability to create interactive mockups/prototypes; excellent communication and stakeholder skills.
• Bachelor’s in Business, CS, Engineering or related; familiarity with agile/Scrum and analytics tools.

Nice to have

• Experience with local AI frameworks (TensorFlow Lite, Core ML, ONNX), blockchain/P2P, UX/UI, GDPR/CCPA.

Culture & Benefits

• Fully remote 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.