Product Manager (Generative Ai) (India)

Full Description

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, robust 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:

• 5–7+ 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

• Bachelor’s 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 -