Product Manager - AIML

Chennai, Bangalore, Hyderabad

Job Description

Who we are:

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack 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. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified™ (2022-25), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

Curious about the role? What your typical day would look like?

As a Generative AI Product Manager, you’ll help shape the future of AI-powered products. You’ll work at the intersection of business, technology, and AI innovation — defining product strategy, identifying high-value use cases, and working closely with engineering and data science teams to bring GenAI solutions to life. This is a hands-on, high-impact role where you’ll help turn cutting-edge tech into real business value.

Your Key Responsibilities:

Product Vision & Roadmap: Define and own the product vision and roadmap for GenAI offerings — from initial idea to scaled adoption.
Use Case Identification: Partner with stakeholders across business and tech to identify high-impact GenAI opportunities that solve real customer problems.
LLM-Driven Products: Work with AI/ML teams to design, test, and launch products powered by large language models (LLMs) and Retrieval Augmented Generation (RAG) pipelines.
Cross-Functional Leadership: Be the glue between engineering, design, data science, marketing, and sales. Align teams, unblock progress, and keep initiatives moving.
Customer-First Thinking: Translate complex user needs into simple, valuable AI features. Continuously gather feedback to improve products post-launch.
Agile Execution: Manage the product backlog, lead sprint planning, and ensure delivery milestones are met — with flexibility and speed.
Market Awareness: Stay on top of GenAI trends, competitor products, and emerging tools to help your team stay ahead.

What do we expect?

7–12 years of overall product management experience, with at least 1–2 years focused on AI/ML or data-driven products.
Hands-on understanding of Generative AI, LLMs, prompt engineering, or RAG — or close collaboration with such teams.
Proven ability to take ambiguous ideas and turn them into shipped features or MVPs.
Analytical and storytelling skills — you can speak both API and ROI.
Experience working with agile teams and leading complex cross-functional projects.
Bonus if you’ve worked in consulting, enterprise tech, or built internal AI tools for business users.

You are important to us, let’s stay connected!

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.

Job Requirement

Product Management, Generative AI, Large Language Model (LLM), Prompt Engineering, Retrieval-Augmented Generation (RAG)