Product Engineering Lead, QVAC

🔥 12 hours ago

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 25%

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Logo of Tether.to

Tether.to

11 - 50 employees

Founded 2014

₿ Crypto

💳 Fintech

💸 Finance

Crypto • Fintech • Finance

Tether. to is a leading digital asset company that pioneers the use of stablecoins in the blockchain space. As the most widely adopted stablecoin, Tether tokens are designed to be pegged 1-to-1 with fiat currencies, offering a stable digital asset option for users. The platform facilitates these token transactions across multiple blockchains, enhancing cross-border transactions while maintaining transparency with daily records of total assets and reserves. Tether's initiatives include educational programs promoting digital asset usage, especially targeting regions like the Middle East, Turkey, and the Philippines. Tether thus positions itself as a disruptor in the traditional financial system by enabling a stable, efficient method of handling transactions in the digital currency world.

📋 Description

• Lead the teams building QV.AC features and app experience on top of the local AI stack • Report directly to the CTO and take direction from product • Own engineering execution, technical approach, and engineering quality • Run app and feature teams day to day by unblocking work, reviewing work, and maintaining delivery • Set and maintain high standards for performance, reliability, and clean APIs • Own technical design of features and the API surface between the AI core and app • Coordinate closely 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 approaches • Bring engineering perspective to product decisions involving local models • Use AI tools and rapid prototypes to validate ideas • Create clarity around team goals and success criteria • Mentor team leads and improve team operating systems • Lead by example, contributing hands-on when needed

🎯 Requirements

• 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 expertise • Initiative, curiosity, resilience, and ability to give and receive direct critique • Excellent English communication skills • Preferred: experience with local or on-device inference, LLM evaluations, cross-platform mobile and desktop apps, or open source

🏖️ Benefits

• Remote work from anywhere in the world • Collaboration with a global team • Opportunity to work on innovative fintech, blockchain, and local AI products • Work with a peer-to-peer ecosystem • Professional growth through leadership and mentoring opportunities

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