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