Product Engineering Lead, QVAC

🔥 12 hours ago

🇵🇹 Portugal – 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 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

🎯 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 • 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

🏖️ Benefits

• 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

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