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 toolsStrong 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 lifecycleBachelor’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 - sameeksha.chauhaan@htdigital.in