AI Product Manager

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India

We are seeking a Operation Research Scientist to join our advanced analytics  and AI team supporting some of our large enterprise clients. In this role, you will

• →Proven experience of 7+ years working as an AI Product Manager, Product Manager, or in a related product leadership role, with experience delivering AI-powered products to production.
• →Strong understanding of AI/ML concepts, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI agent architectures.
• →Experience defining AI product strategy, managing product roadmaps, prioritizing features, and translating business needs into actionable product requirements.
• →Hands-on experience or strong working knowledge of the Google Cloud ecosystem, particularly Vertex AI, Gemini, BigQuery, BigQuery ML, and related Google Cloud AI and data services.
• →Familiarity with AI frameworks and technologies such as LangChain, LangGraph, AWS Bedrock, OpenAI APIs, and cloud-based AI platforms.
• →Understanding of prompt engineering, model evaluation, experimentation methodologies, and AI performance optimization.
• →Experience working closely with engineering, data science, UX/UI, and business teams to deliver customer-centric AI solutions.
• →Strong analytical and problem-solving skills, with the ability to define KPIs and evaluate product performance using data-driven insights.
• →Understanding of AI product challenges, including model accuracy, hallucinations, scalability, latency, cost optimization, data privacy, and responsible AI practices.
• →Experience using AI-powered tools across product management workflows, including requirements gathering, research, prototyping, experimentation, and documentation.
• →Excellent stakeholder management, communication, presentation, and interpersonal skills, with the ability to influence cross-functional teams.
• →Ability to translate complex AI concepts into clear business value propositions and communicate solution approaches to technical and non-technical stakeholders.
• →Experience working in product-based organizations, technology consulting, or enterprise AI transformation initiatives is preferred.
• →Prior experience with cloud platforms, enterprise AI products, or applied AI research is an added advantage