AI Product Manager

Posted 8 Hours Ago
2 Locations
Remote
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Role
Define the vision, strategy, and roadmap for AI-powered products. Lead use-case evaluation, requirements, experimentation, development, deployment, adoption, and continuous improvement across Generative AI, LLM, RAG, and agentic solutions. Collaborate with engineering, data science, design, and business stakeholders; establish success metrics; manage AI risks; and communicate product value, progress, and strategy to leadership and clients.
Summary Generated by Built In

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).
      • 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.

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.

Skills Required

  • 7+ years of experience as an AI Product Manager, Product Manager, or in a related product leadership role
  • Experience delivering AI-powered products to production
  • Strong understanding of AI/ML concepts, Generative AI, LLMs, RAG, and AI agent architectures
  • Experience defining AI product strategy, roadmaps, feature priorities, and product requirements
  • Experience leading AI initiatives from ideation and experimentation through deployment, adoption, and scaling
  • Familiarity with LangChain, LangGraph, AWS Bedrock, OpenAI APIs, and cloud-based AI platforms
  • Understanding of prompt engineering, model evaluation, experimentation methodologies, and AI performance optimization
  • Experience collaborating with engineering, data science, UX/UI, and business teams
  • Strong analytical and problem-solving skills, including defining KPIs and evaluating product performance
  • Understanding of model accuracy, hallucinations, scalability, latency, cost optimization, data privacy, and responsible AI
  • Experience using AI-powered tools for requirements gathering, research, prototyping, experimentation, and documentation
  • Excellent stakeholder management, communication, presentation, and interpersonal skills
  • Ability to translate complex AI concepts into business value and communicate with technical and non-technical stakeholders
  • Experience in product-based organizations, technology consulting, or enterprise AI transformation initiatives
  • Prior experience with cloud platforms, enterprise AI products, or applied AI research

Tiger Analytics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.

  • Fair & Transparent Compensation — Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
  • Healthcare Strength — Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
  • Leave & Time Off Breadth — Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.

Tiger Analytics Insights

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The Company
HQ: Santa Clara, CA
5,000 Employees
Year Founded: 2011

What We Do

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.

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