AI Product Manager

Tiger Analytics is seeking an AI Product Manager to lead the vision, strategy, and lifecycle of AI-powered products for enterprise clients. The role focuses on identifying AI use cases, coordinating cross-functional teams, and delivering solutions using technologies such as Generative AI, large language models, and AI agents.

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

Preferred

Experience working in product-based organizations, technology consulting, or enterprise AI transformation initiatives

Prior experience with cloud platforms, enterprise AI products, or applied AI research

Product-Based Organizations

Technology Consulting

Enterprise AI Transformation

Cloud Platforms

Enterprise AI Products

Applied AI Research

Benefits

Medical, Dental, Vision, Retirement Accounts, Long and Short Term Disability, Life Insurance, HSA/FSA Accounts (USA)

Discretionary time-off

Continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms

Career development in a fast-growing and challenging entrepreneurial environment, with a high degree of individual responsibility

Company

Enterprise AI and analytics transformation solutions and consulting

Santa Clara, California, USA

http://www.tigeranalytics.com/

Founded in 2011

5001-10000 employees

Qualifications

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

Prior experience with cloud platforms, enterprise AI products, or applied AI research

Required skills

AI/ML, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agent Architectures, LangChain, LangGraph, AWS Bedrock, OpenAI APIs, Prompt Engineering, Model Evaluation, AI Product Strategy, Stakeholder Management

Experience

7+ years