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 :

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 -