Our client is seeking a AI Technical Product Manager

Responsibilities

• Help shape AI features: 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.
• Understand users and their problems: 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.
• Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success.
• Prototype and explore: 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.
• Collaborate on technical trade-offs: 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.
• Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities.
• Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams.
• Stay close to AI developments: 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.

Mandatory:

• 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.

Preferred:

• 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

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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