About the role
QV.AC is a general purpose AI assistant that runs locally on your devices, giving users greater control over their data and how they use artificial intelligence. The 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.
Responsibilities
•Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements.
•Bring ideas grounded in user needs, research, and hands-on experimentation.
•Gather feedback, conduct research, and explore how people use AI in their everyday workflows.
•Identify where AI can solve a meaningful problem and where a simpler solution may work better.
•Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success.
•Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior.
•Use AI-assisted tools to explore concepts quickly and refine them with the team.
•Work with engineers to understand what is feasible across devices and models.
•Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience.
•Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities.
•Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams.
•Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC.
•Share clear recommendations about what is worth testing or adopting and why.
Requirements
•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.
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.
•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.
Conditions
No conditions are stated in the posting.
