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Qureos
Q Solutions is building AI-native products across industries. We are looking for an AI-Driven Product Manager who understands how to leverage artificial intelligence not just as a feature — but as a core product capability.
This role is designed for someone who thinks in systems, moves fast with AI tools, and can drive products from concept to scalable delivery using an AI-first SDLC approach.
You will be responsible for leading AI-powered product initiatives across research, validation, build, launch, and growth phases.
Define product vision aligned with AI-native capabilities
Identify opportunities where AI can create defensible competitive advantage
Translate business problems into AI-driven product solutions
Lead product development using Q Solutions’ AI SDLC framework:
Discovery & validation
Rapid AI prototyping
Data design & workflow automation
Iterative deployment & feedback loop
Collaborate with engineering, design, and AI teams for implementation
Use AI tools and no-code platforms to validate ideas quickly
Build MVPs using AI APIs, LLM workflows, automation systems
Run product experiments and measure performance
Work closely with:
Developers
AI Engineers
Designers
Operations
Sales
Drive alignment across stakeholders
Monitor model performance and user interaction data
Improve prompts, workflows, and automation efficiency
Ensure ethical and responsible AI implementation
Bachelor’s degree in Computer Science, Engineering, Business, or related field
2–5 years in Product Management (AI exposure preferred)
Experience building SaaS, AI tools, or automation platforms
Strong understanding of AI tools, LLM workflows, and APIs
AI-native product thinking
Strong requirement documentation & PRD writing
Understanding of AI/ML fundamentals (LLMs, APIs, embeddings, workflows)
Experience with AI tools (e.g., ChatGPT, Claude, automation tools, etc.)
Data-driven decision-making
Agile product execution
KPI definition & performance tracking
Systems thinking
Strategic problem-solving
Experimentation mindset
Strong ownership
Structured communication
Analytical thinking
Ability to convert ambiguity into product direction
Experience with AI API integrations
Built AI-powered MVPs
Familiar with prompt engineering
Experience in automation platforms
Exposure to AI compliance & governance frameworks
Time-to-MVP reduction
AI feature adoption rate
Product usage growth
AI workflow efficiency improvement
Product release predictability
Revenue contribution from AI products
Opportunity to build AI-native products
Exposure to cutting-edge AI tooling ecosystem
Direct leadership access
Ownership over end-to-end product lifecycle
High-growth trajectory within Q Solutions
Performance-based growth opportunities
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