Senior Product Manager

We are looking for a strategic and execution-focused Senior Product Manager - AI to drive the development and adoption of AI-powered products and features. The ideal candidate will have strong product management experience with hands-on exposure to Generative AI, LLMs, RAG, AI/ML products, and agentic workflows.

A product leader who can bridge business, technology, and AI, identify high-impact opportunities, and take AI products from concept to production while delivering measurable customer and business value.

Responsibilities:

• Own the end-to-end product lifecycle for AI-powered products and features, from ideation to launch and optimisation.
• Define product vision, roadmap, strategy, and success metrics for AI initiatives.
• Work closely with Engineering, Data Science, ML, Design, and Business teams to deliver scalable AI solutions.
• Identify opportunities to leverage Generative AI, LLMs, RAG, AI agents, and automation to solve business problems.
• Translate business requirements and customer needs into clear product requirements, PRDs, user stories, and acceptance criteria.
• Drive experimentation, A/B testing, and data-driven product decisions.
• Evaluate AI models and solutions based on accuracy, relevance, latency, cost, scalability, and user experience.
• Collaborate with technical teams on AI architecture, model integration, APIs, data pipelines, and production deployment.
• Track product performance using relevant KPIs and continuously improve product outcomes.
• Stay updated on emerging AI technologies, tools, models, and industry trends.

Requirements:

• 5-8 years of experience in Product Management, with experience owning technology-driven products.
• Strong experience in AI/ML or Generative AI product management.
• Good understanding of LLMs, RAG, prompt engineering, AI agents/agentic workflows, embeddings, and vector databases.
• Experience working with engineering and data/ML teams on production AI solutions.
• Strong analytical, problem-solving, and decision-making skills.
• Excellent communication and stakeholder management abilities.
• Ability to translate complex technical concepts into clear product requirements and business outcomes.
• Strong understanding of product discovery, roadmap planning, experimentation, and product analytics.

Good to Have:

• Experience building B2C/D2C or consumer-facing AI products.
• Exposure to platforms such as OpenAI, Gemini, Claude, LangChain, LangGraph, or similar AI frameworks.
• Experience with AI evaluation, model monitoring, responsible AI, and AI safety.
• Technical background or familiarity with APIs, cloud platforms, databases, and microservices.