Technical Program Manager — Computer Vision, AI/ML & Mobile

Technical Program Manager - Computer Vision, AI/ML & Mobile

Chennai, Bangalore, Hyderabad

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 7000+ 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 a Great Place to Work-Certified™ , recognized globally for our dedication to innovation and excellence.

Curious about the role?

Tiger Analytics is building Intelligent Product Engineering (iPE), the practice that owns end-to-end product engineering for our most complex client programs, anchored in an AI-native software development lifecycle. We are hiring a Technical Program Manager to run one of its most demanding programs.

Tiger Analytics is a global data and AI services firm working with large enterprises across retail, CPG, financial services, healthcare and technology. Intelligent Product Engineering is where that heritage meets full product and application delivery, with AI as the connective thread.

The program is a computer vision and machine learning product delivered into the hands of field users through a production mobile application. The application is built in React Native with a cross-platform bridge into native machine learning modules, and inference runs both on-device and server-side, each with its own constraints. The program spans model development and evaluation, that hybrid inference path, mobile and backend engineering, data pipelines, and rollout across markets where devices, connectivity, lighting and user behaviour all vary. The technology is genuinely new; the delivery problem is not, and it is unforgiving.

This is not a coordination role. You will own the plan, the requirements, the gates and the truth about status. The people you work with, architects, ML leads, mobile engineers, client product and technology stakeholders, are experienced and opinionated. The job is to hold the whole system in view, convert ambiguity into agreed and testable scope, and defend a plan with evidence, including when that means telling a client or a senior engineer that a date, a design or a team shape will not work.

This role sits on a program where the technology is genuinely novel and the stakes are real: a computer vision product that has to work in the field, on real devices, for users who will abandon it if it does not. The person who runs it well will have both a rare reference story and a direct hand in defining how iPE delivers AI-native products at scale.