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.
Key Responsibilities
AI-First Product Strategy
- 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
AI SDLC Execution
- 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
Rapid Prototyping & Experimentation
- 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
Cross-Functional Leadership
- Work closely with:
- Developers
- AI Engineers
- Designers
- Operations
- Sales
- Drive alignment across stakeholders
AI Performance Optimization
- Monitor model performance and user interaction data
- Improve prompts, workflows, and automation efficiency
- Ensure ethical and responsible AI implementation
What We’re Looking For
Education
- Bachelor’s degree in Computer Science, Engineering, Business, or related field
Experience
- 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
Required Skills
- 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
Core Competencies
- Systems thinking
- Strategic problem-solving
- Experimentation mindset
- Strong ownership
- Structured communication
- Analytical thinking
- Ability to convert ambiguity into product direction
Bonus Qualifications
- Experience with AI API integrations
- Built AI-powered MVPs
- Familiar with prompt engineering
- Experience in automation platforms
- Exposure to AI compliance & governance frameworks
KPIs for This Role
- Time-to-MVP reduction
- AI feature adoption rate
- Product usage growth
- AI workflow efficiency improvement
- Product release predictability
- Revenue contribution from AI products
What You’ll Get
- 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