Product Engineering Lead, 100% Remote

🔥 13 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tether.to

WebsiteLinkedInAll Job Openings

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 Tether’s local AI stack • Report directly to the CTO and take direction from product • Own how features are built and maintain the engineering bar • Run app and feature teams day to day by unblocking, reviewing, and keeping them shipping • Set standards for performance, reliability, and clean APIs • Own technical design of features and the API surface between the AI core and app • 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 involving local model capabilities • Use AI tools and rapid prototypes to validate ideas • Clarify team goals and define success • Mentor team leads and improve team operating systems • Lead by example and provide hands-on support 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 • No ML research expertise required • Heavy use of AI tools and willingness to experiment with new models and capabilities • Deep JavaScript and React skills • 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

• Remote work from every corner of the world • Opportunity to collaborate with global talent and fintech experts