Product Manager

Role & responsibilities Experienced in end-to-end product lifecycle for AI, LLM, Agentic AI, and data science products from ideation, roadmap, and strategy to execution and GTM . Translate client problems into product vision by working closely with data scientists, engineers, and UX/UI teams to deliver AI-infused web solutions Define and prioritize features based on data-driven insights, market trends, and emerging AI capabilities Create PRD reports, user stories, and feature specifications aligned with strategic goals Collaborate cross-functionally to ensure on-time, high-quality releases of AI-powered applications and internal tooling Evangelize AI product value to clients, partners, and internal teams through product demos, storytelling, and business cases Preferred candidate profile Years of Product Management experience with a strong focus on AI, LLM, Agentic AI based products and web platforms Proven track record of successfully launching enterprise-grade web portals or SaaS solutions Deep understanding of AI, ML, LLM lifecycle, data pipelines, model development & deployment Proficient in structured and unstructured databases including Postgres, MongoDB, Vector DB, Parquet Proficiency in Agile methodologies and tools like JIRA, Confluence, Figma, etc. Excellent communication and stakeholder management skills Strategic thinker with a customer-first mindset and an eye for UX and product-market fit. Hands-on exposure to LLM, Computer Vision, Predictive Analytics, or Conversational AIproducts Familiarity with cloud platforms (Azure/GCP) and scalable data architectures Experience working in consulting, AI startup, or multi-client delivery model is a plus Experience in GitHub and Git