The Product Lead will own MediaCube end-to-end as a hands-on, technically solid
individual contributor. The role combines product strategy, deep AI product knowledge,
architecture understanding and engineering execution to convert enterprise media
problems into reusable, production-oriented AI capabilities. The Product Lead will define
what MediaCube builds, why it matters, how it should work, how quality will be measured
and how the solution progresses from discovery and pilot to repeatable deployment.
This is not a coordination-only product role. The incumbent must be able to engage deeply
with Solution Architects, AI/ML Engineers, Data Scientists, Backend Engineers and client
technology teams; challenge technical assumptions; make informed build-versus-buy and
model-selection decisions; and drive engineering teams against clear functional and
non-functional requirements.
MediaCube Product Mandate
· Own the product vision, strategy, roadmap and release priorities for the MediaCube
Intelligence Fabric and its reusable AI workflows.




· Productize MediaCube capabilities across video intelligence, content discovery,
semantic search, contextual advertising, highlights, localization, QoE intelligence and
media supply-chain automation.
· Create a clear distinction between reusable MediaCube platform capabilities,
configurable client extensions and one-off custom engineering; continuously increase
reuse across accounts.
· Build MediaCube as a model-agnostic orchestration and intelligence layer that can
integrate cloud, proprietary and open-source models through well-defined adapters, APIs
and evaluation standards.
· Convert client opportunities and consulting discoveries into scalable product
capabilities without allowing the roadmap to become a collection of disconnected custom
features.
End-to-End Product Ownership
· Lead product discovery with clients, sales, consulting and delivery teams; define the
problem, target user, workflow, measurable outcome and commercial rel

📌 Product Lead (India)
🏢 AstraaTech
📍 India