Product Engineering Lead, QVAC

• Lead the app and feature teams building QV.AC features and app experiences on top of the local AI stack
• Run teams day to day by unblocking work, reviewing contributions, and maintaining delivery speed
• Set and maintain high engineering standards for performance, reliability, and clean APIs
• Own technical design and the API surface between the AI core and the app
• Coordinate with AI research and deep technology teams on code reviews, design, models, and inference
• Partner with product managers to turn vision and roadmap into scoped, buildable work
• Challenge mismatched scope and propose better implementation paths
• Advise product decisions on local model capabilities and limitations
• 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
• Report directly to the CTO and take direction from product

• 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, and battery
• Ability to distinguish reliable features from demos
• Heavy use of AI tools and willingness to experiment with new models and capabilities
• Deep JavaScript and React
• Initiative, curiosity, resilience, and ability to give and receive direct critique
• Preferred: experience with local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source
• Excellent English communication skills

• 100% remote work
• Opportunity to collaborate with a global team
• Work on innovative fintech, blockchain, and local AI products
• Professional growth through leadership and mentoring opportunities