AI Product Manager

Shape the Future of AI. Transform the World's Leading Businesses.

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

At Tiger Analytics, we don't just help businesses adapt to the future-we help them build it

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

Key Responsibilities:

• Define and drive the product vision, strategy, and roadmap for AI-powered products aligned with business objectives and customer needs.
• Identify and evaluate AI use cases, leveraging Generative AI, Large Language Models (LLMs), AI agents, and machine learning to solve business problems.
• Collaborate with engineering, data science, design, and business teams to translate business requirements into AI product features and technical specifications.
• Lead the end-to-end AI product lifecycle, from ideation and requirements gathering to prototyping, development, testing, deployment, and continuous improvement.
• Define product requirements, user stories, acceptance criteria, and success metrics for AI-driven solutions.
• Work closely with engineering teams to design and deliver AI-powered applications, agentic workflows, and intelligent automation solutions.
• Design and drive experimentation strategies, including proof of concepts (PoCs), prototypes, A/B testing, and iterative product enhancements.
• Establish metrics to measure AI product performance, user adoption, customer experience, and return on investment (ROI).
• Collaborate with stakeholders to identify risks related to AI accuracy, hallucinations, data privacy, security, responsible AI, and regulatory compliance.
• Stay updated on emerging AI technologies, industry trends, and best practices to identify opportunities for product innovation.
• Communicate product strategy, roadmap, progress, and business impact to leadership and cross-functional stakeholders.
• Foster a culture of innovation, experimentation, collaboration, and continuous learning across product and engineering teams

Requirements

• 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.
• Demonstrated ability to lead AI initiatives from ideation and experimentation through deployment, adoption, and scaling.
• 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

Why Join Tiger Analytics:

• Drive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes.
• Build and Lead at Global Scale: Collaborate with exceptional AI, data, engineering, and consulting talent across geographies to deliver transformative solutions and grow strategic client partnerships.
• Benefits: Medical, Dental, Vision, Retirement Accounts, Long and Short Term Disability, Life Insurance, HSA/FSA Accounts (USA) and Discretionary time-off.
• Continuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms. Grow alongside a team that invests in developing future-ready skills and encourages innovation.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.