About
Tether develops blockchain-based financial products, including reserve-backed tokens and digital asset tokenization services. Its product portfolio also includes energy solutions for Bitcoin mining, AI and peer-to-peer technologies, secure data sharing, and digital learning.
Responsibilities
•Shape AI features by translating the QV.AC vision into use cases, feature proposals, and product requirements grounded in user needs, research, and experimentation
•Gather user feedback, conduct research, and identify problems AI can meaningfully solve
•Write product briefs, user stories, acceptance criteria, and user flows
•Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior
•Collaborate with engineers on technical trade-offs across devices and models, considering response quality, latency, memory usage, battery consumption, and privacy
•Support prioritization and planning by evaluating opportunities, clarifying scope, identifying dependencies, and maintaining a focused backlog
•Drive assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness
•Explore AI products, models, tools, and interaction patterns; share recommendations on what to test or adopt and why
Requirements
•7+ years of product management experience, ideally with AI software products and technical engineering teams
•Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and learnings
•Working understanding of AI concepts including inference, harnesses, model capabilities and limitations, context, and evaluation; interest in local and on-device AI
•Ability to turn ambiguous ideas into clear user problems, proposed solutions, and actionable requirements
•Strong product judgment focused on usability, scope, and measurable user value
•Confidence creating prototypes with design or coding tools
•Clear written and verbal communication, including discussing technical trade-offs with engineers and explaining them to non-technical colleagues
•Proactive and collaborative approach, with responsibility for your work, early questions, and openness to feedback
•Familiarity with product analytics, user research, and iterative software development
Nice to have
•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
•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
Conditions
No conditions stated in the posting.
