Product Engineering Lead

About the role

Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with

What the role involves

• Engineering - Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference.
• Product Partnership - Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them.
• Leadership - Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it.
• Experience managing engineers or engineering leads who ship consumer product, ideally AI-powered apps.
• Strong product sense : you can tell a good feature from a busy one.
• Intuition for applied AI and on-device constraints : model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away.

Details

• Full-time
• Worldwide
• Design