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Senior product title and strong employer brand but niche AI specialization create moderate competition.
Requires deep AI, data-platform and enterprise product experience so industry transferability is limited.
Explicit 8–9 years plus deep AI/product technical requirements and measurable delivery experience enforce strict screening.
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Own end-to-end product vision, strategy, roadmap, and release priorities for MediaCube AI-powered media intelligence platform.
Lead full product lifecycle from client discovery, requirement definition, through to deployment, adoption, and iterative improvement, ensuring scalable and reusable AI solutions.
Drive technical decisions including AI model evaluation, architecture design, engineering trade-offs, and quality governance collaborating closely with cross-functional teams including AI/ML engineers and solution architects.
8–9 years experience in product management or technology roles with ownership of enterprise/B2B AI or data platform products.
Strong technical expertise in AI/ML, data platforms, SaaS, cloud-native enterprise software, and software engineering fundamentals such as APIs, microservices, cloud services, and data pipelines.
Experience writing precise product requirements (PRDs), defining acceptance criteria and non-functional requirements, and participating in technical design reviews.
Bachelor’s degree in Computer Science, Engineering, Data Science or related technical field preferred; equivalent technical expertise also considered.
Technically credible individual contributor comfortable engaging deeply with AI engineers, data scientists, solution architects, and engineering teams to make informed product and architectural decisions.
Experienced in productizing AI capabilities focused on video intelligence, semantic search, and media workflows with focus on reusable core platforms versus custom client features.
Skilled in managing full product lifecycle in enterprise AI environments, balancing business value, technical feasibility, reuse, operational risk, and commercial outcomes.