Product Manager (Generative AI)

We are seeking a Hands-On AI Product Manager with deep curiosity for how AI can shape user experiences and the technical ability to build and test ideas independently.

You will translate business goals into AI-powered workflows and products, building working prototypes using tools such as Google Colab, Cursor, Make , Emergent, and Lovable.

This is a builder role, ideal for someone who combines strategic product ownership with hands-on experience in Generative AI, strong understanding of machine learning, and the ability to visualize solutions through flow diagrams and experiments.

Key Responsibilities:

• Define and drive the roadmap for AI/ML and Generative AI products that solve meaningful user problems.
• Break complex problem spaces into iterative experiments and measurable outcomes
• Conduct user research, usability testing, and data analysis to uncover insights and improve interactions
• Prioritise features based on feasibility, usability, and model behaviour constraints
• Rapidly prototype, test, and iterate using tools like Google Colab, Cursor, Make, Emergent, Lovable, and other AI automation platforms.
• Partner with data science teams to train, fine-tune, and deploy ML or GenAI models into production workflows.
• Create detailed flow diagrams and logic maps that explain how data and models interact across the system.
• Translate model outputs into intuitive product features and user experiences.
• Drive agile development with engineering teams, prioritizing experimentation and iteration.
• Use analytics (SQL, Amplitude, Mixpanel, Heap) to validate hypotheses and measure product impact.
• Communicate progress, challenges, and learnings clearly to leadership and cross-functional teams.

Required Skills & Experience:

• 57+ years in product management, including hands-on experience with Generative AI products or workflows.
• Strong understanding of machine learning principles, model lifecycles, data pipelines, and evaluation metrics.
• Proven ability to design clear product flow diagrams or architecture maps to visualize AI problem-solving.
• Hands-on experience with Google Colab, Cursor, Make (Integromat), Emergent, Lovable, or equivalent GenAI / automation tools.
• Familiarity with AI/ML frameworks (TensorFlow, PyTorch, SageMaker, Savvi AI).
• Experience working with APIs, LLMs (OpenAI, Anthropic, Hugging Face), and workflow automation/orchestration tools
• Strong analytical and data interpretation skills with SQL and product analytics platforms.
• Excellent communication skills able to explain technical AI concepts to non-technical audiences.
• Strong understanding of Small Language Models (SLMs) their training, fine-tuning, and deployment lifecycle
• Bachelors degree in Computer Science, Engineering, Data Science, or a related field.
• Passion for staying ahead of AI trends, tools, and frameworks.

If the requirement alignes with your candidature, please share your updated cv to Sameeksha Chauhan - [HIDDEN TEXT]