Product Engineering Lead, QVAC

• Lead the teams building QV.AC features and app experience on top of Tether’s local AI stack
• Report directly to the CTO and take direction from product leadership
• Run app and feature teams day to day, including unblocking, reviewing, and maintaining delivery momentum
• Set and maintain high engineering standards for performance, reliability, and clean APIs
• Own technical design of features and the API surface between the AI core and application
• Coordinate with AI research and deep-tech teams on code reviews, design, models, and inference
• Partner with product managers to turn vision and roadmap into scoped, buildable work
• Challenge unrealistic scope and propose better implementation paths
• Bring engineering perspective to product decisions about local model capabilities
• Use AI tools and rapid prototypes to validate ideas
• Clarify team goals and define success criteria
• Mentor team leads and improve team operating systems and collaboration
• Lead by example while enabling teams to take ownership

• Experience managing engineers or engineering leads who ship consumer products, ideally AI-powered apps
• Strong product sense
• Intuition for applied AI and on-device constraints, including model size, latency, memory, battery, and reliability
• Heavy use of AI tools and enthusiasm for experimenting with new models and capabilities
• Deep JavaScript and React expertise
• Initiative, curiosity, resilience, and ability to give and receive direct critique
• Preferred: experience with local or on-device inference, LLM evaluations, cross-platform mobile and desktop apps, or open source
• Excellent English communication skills
• Application form asks candidates to identify their experience level as 1–3, 3–6, or more than 6 years in software development and product engineering

• 100% remote work
• Opportunity to collaborate with a global team
• Work on innovative fintech, blockchain, AI, and peer-to-peer technology products
• Opportunity to contribute to QV.AC, a privacy-preserving, on-device AI assistant
• Professional growth through collaboration with experienced technical and product leaders