AI technical product manager in fintech

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.

• 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.

• 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.
• Будет плюсом: 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

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