AI Product Manager: Generative AI & Automation Lead

Tiger Analytics; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Retirement Accounts

Long-Term Disability

Short-Term Disability

Life Insurance

HSA/FSA Accounts

Discretionary time-off

Job summary

Tiger Analytics in the United States is seeking an Operations Research Scientist to join our advanced analytics and AI team supporting large enterprise clients. You will translate business needs into scalable AI-driven solutions and drive impact across engagements.

The role emphasizes architecture, prototyping, evaluation metrics, and collaboration with stakeholders to deliver measurable results in finance, retail, and other industries.

Qualifications

• 5-7+ years 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, API integrations) and defining AI product/workflow specifications.

Responsibilities

• System Architecture & Design: translate complex model architectures into scalable agent design patterns.
• Workflow Optimization: design automated, AI-driven alternatives that accelerate operational velocity.
• Context & Prompt Engineering: structure data and constraints to optimize LLM performance.
• Prototyping & Validation: develop low-fidelity prototypes to validate AA features and model feasibility.
• Performance Evaluation: design metrics and evaluation frameworks for program impact.
• Agent Deployment: architect and deploy AI agents, including RAG and vector search integration.
• Strategic Communication: bridge technical execution with business strategy for diverse stakeholders.

Skills

5-7+ years AI systems design

End-to-end AI systems

Job description

Tiger Analytics in the United States is seeking an Operations Research Scientist to join our advanced analytics and AI team supporting large enterprise clients. You will translate business needs into scalable AI-driven solutions and drive impact across engagements.

The role emphasizes architecture, prototyping, evaluation metrics, and collaboration with stakeholders to deliver measurable results in finance, retail, and other industries.