AI Product Manager

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). • Knowledge of privacy and compliance standards for handling PII through masking and redaction. 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.