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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in product management for AI software, with a strong ability to translate complex ideas into actionable product requirements and user-focused solutions. Proficient in creating prototypes and collaborating with engineering teams to evaluate and implement AI features effectively.
Highest-signal resume keywords
Product Management ExperienceAI Software PrototypingUser Research and AnalyticsPrototyping and Design ToolsTechnical Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI ConceptsPrototypingUser StoriesAcceptance CriteriaWireframingMockupsUser FlowsProduct RequirementsFeature ProposalsAI-Powered Features
Soft Skills
Clear CommunicationCollaborationProactive ApproachAttention to UsabilityProduct Judgment
Tools & Technologies
AI-Assisted ToolsDesign ToolsCoding ToolsProduct Analytics
Industry Keywords
Local AIOn-Device AIConversational InterfacesMultimodal FeaturesPeer-to-Peer TechnologiesDecentralized Applications
About the role
Key responsibilities & impact- Work closely with the Product Lead to advance the QV.AC vision
- Identify valuable use cases, define AI features, explore product concepts, and work with engineering and design to bring them to users
- Translate the QV.AC vision into concrete use cases, feature proposals, and product requirements
- Gather user feedback, conduct research, and understand how people use AI in everyday workflows
- Identify meaningful problems AI can solve and determine when simpler solutions are more appropriate
- Write product briefs, user stories, acceptance criteria, and user flows
- 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 with engineers on feasibility and technical trade-offs across devices and models
- Assess response quality, latency, memory usage, battery consumption, and privacy impacts on user experience
- Help evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog
- Drive assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness
- Explore new AI products, models, tools, and interaction patterns and recommend what QV.AC should test or adopt
Requirements
What you’ll need- 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
- Working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation
- Interest in local and on-device AI
- 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 discussing technical trade-offs with engineers and explaining them to non-technical colleagues
- Proactive, collaborative approach; comfortable taking responsibility, 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
- Preferred: experience building AI assistants, conversational interfaces, or multimodal features
- Preferred: familiarity with desktop or mobile product development
- Preferred: understanding of peer-to-peer technologies and decentralized applications
- Preferred: experience evaluating AI output quality and designing user experiences that account for uncertainty and errors
- Preferred: experience working in a distributed team
- Excellent English communication skills
Benefits
Comp & perks- Remote work from a global team environment
- Opportunity to collaborate with experts in fintech, AI, blockchain, and peer-to-peer technology
- Opportunity to contribute to innovative digital finance products
- Global team and distributed work environment
