AI Product Manager

AI Product Manager positioned at the center of product strategy, applied AI, and user experience. Role involves shaping AI-powered products from early concepts to scalable solutions used in real-world environments. Focus lies in identifying meaningful AI use cases, driving execution across teams, and ensuring technology translates into measurable impact.

This role is suited for someone comfortable operating where product thinking, engineering complexity, and rapid experimentation overlap.

Areas of Ownership

• AI product vision, roadmap, and feature prioritization
• Identification of high-impact AI use cases and workflows
• Alignment between product, engineering, research, and business teams
• Product execution across AI-driven systems and user experiences

What the Role Involves

• Define product direction for AI-powered applications and intelligent systems
• Translate ambiguous business problems into structured product opportunities
• Work closely with AI engineers, researchers, and designers to deliver scalable features
• Prioritize initiatives based on user value, technical feasibility, and business impact
• Analyze product adoption, model behavior, and user interaction patterns
• Drive experimentation, iteration, and continuous improvement across AI products
• Monitor advancements in AI, LLMs, automation, and emerging technologies
• Ensure product decisions balance innovation, usability, and operational scalability

What Success Looks Like

• AI products that solve real operational or user problems
• Strong product adoption and measurable business impact
• Clear execution across fast-moving and technically complex initiatives
• Alignment between AI capabilities and practical user experience

Capabilities That Matter

• Strong product thinking combined with technical curiosity
• Ability to simplify complex AI concepts into usable product experiences
• Comfort working in ambiguous, rapidly evolving environments
• Data-driven decision-making and structured prioritization skills
• Strong communication across technical and non-technical stakeholders

Experience \& Background

• Bachelor’s degree in Engineering, Computer Science, Business, or related field
• 4–8 years of experience in product management, technology strategy, or AI-focused roles
• Experience working closely with engineering or AI/ML teams

Preferred Exposure

• Familiarity with AI systems, LLMs, NLP, or workflow automation platforms
• Experience with SaaS products or enterprise technology environments
• Exposure to analytics, experimentation frameworks, or AI-driven platforms
• Understanding of APIs, data workflows, and AI integrations