AI Technical Product Manager (QVAC) (100% remote)

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.

QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem.

We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products.

You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration.

This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use.

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• 7+ years of product management experience, ideally working on AI software products with technical engineering teams.

• Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned.

• A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI.

• The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements.

• Strong product judgment, with attention to usability, scope, and measurable user value.

• Confidence creating prototypes using design or coding tools

• Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues.

• A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback.

• Familiarity with product analytics, user research, and iterative software development.

• Experience with local AI, on-device inference, or open-source models.

• Experience building AI assistants, conversational interfaces, or multimodal features.

• Familiarity with desktop or mobile product development.

• An understanding of peer-to-peer technologies and decentralized applications.

• Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors.

• Experience working in a distributed team.