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AI Technical Product Manager – QV.AC

Tether.io

جديد Remote
Remote Senior 🇬🇧 English
mobile product development conversational interfaces AI assistants prototyping product analytics peer-to-peer technologies decentralized applications evaluating AI output quality user research

وصف الوظيفة

About the role

Join Tether's AI team to lead the development of QV.AC, a privacy‑preserving, on‑device AI assistant. You will work closely with the Product Lead to turn emerging AI capabilities into user‑focused products that run locally on desktop and mobile devices.

Key responsibilities

  • Translate the QV.AC vision into concrete use cases, feature proposals, and detailed product requirements.
  • Conduct user research, gather feedback, and identify where AI can solve real problems.
  • Write product briefs, user stories, acceptance criteria, and user flows for engineering and design.
  • Create wireframes, mockups, and working prototypes using AI‑assisted tools.
  • Collaborate with engineers on technical trade‑offs such as latency, memory, battery consumption, and privacy.
  • Prioritize backlog items, support planning, and drive features from discovery through delivery.
  • Stay up‑to‑date with new AI models, tools, and interaction patterns, recommending what to test or adopt.

Required profile

  • 7+ years of product management experience, preferably on AI software products.
  • Hands‑on experience building, shipping, or prototyping AI‑powered features.
  • Strong understanding of AI concepts (inference, model capabilities, evaluation) and interest in on‑device AI.
  • Ability to turn ambiguous ideas into clear user problems and actionable requirements.
  • Excellent written and verbal communication, able to discuss technical trade‑offs with engineers and explain them to non‑technical stakeholders.
  • Proactive, collaborative mindset and experience working in distributed teams.

Required skills

  • AI software product development
  • Desktop and mobile product development
  • Local/on‑device AI inference
  • Multimodal AI features
  • Conversational interfaces and AI assistants
  • Prototyping and wireframing tools
  • Product analytics and user research
  • Peer‑to‑peer and decentralized application knowledge
  • Evaluating AI output quality

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