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:

System Architecture & Design: Translate complex model architectures, data analysis, and feature engineering into scalable agent design patterns.

Workflow Optimization: Lead process reimaging by assessing legacy workflows and designing automated, AI-driven alternatives that accelerate operational velocity.

Context & Prompt Engineering: Systematically structure data, operational constraints, and guidelines to optimize LLM performance and output reliability.

Prototyping & Validation: Develop low-fidelity prototypes to validate core AI features, user experiences, and overall model feasibility.

Performance Evaluation: Design business-aligned evaluation frameworks, defining key metrics to collect data and measure program impact.

Agent Deployment: Architect and deploy advanced AI agents, including RAG solutions, vector search integration, and multi-agent systems using A2A and MCP.

Strategic Communication: Leverage excellent problem-solving and presentation skills to bridge technical execution with business strategy for diverse stakeholders.

Requirements

Technical Knowledge (Hard Skills)

5-7+ years of experience in product management, systems or solution architecture, software/platform engineering, or technical leadership in customer-facing roles.

Experience designing end-to-end AI systems (e.g., RAG, vector databases, and API integrations) and defining AI product/workflow specifications.

Operational Excellence (Soft Skills)

Active Participation: Show up promptly for all internal and client-facing meetings.

Transparent Communication: Provide regular, structured status updates to team members and stakeholders regarding project milestones and technical blockers.

Proactive Collaboration: Demonstrate the ability to ask for help when facing technical hurdles and contribute to a collaborative troubleshooting environment.

Consultative Approach: Navigate corporate environments to translate high-level business goals into robust technical architectures.

Preferred Experience

Background in financial services or retail to better understand industry-specific data logic (e.g., credit risk, royalty forecasting, or search relevance).