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Remote role and Bangalore preference increase applicant density, but AI-native specialization narrows the qualified pool.
Core product skills transfer across industries, yet AI-native expertise raises domain specificity to a medium level.
Explicit 1–3 year requirement plus AI-product skills, degree, and SQL/communication needs make filters moderately strict.
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Own the entire product lifecycle including discovery, definition, delivery, launch, and adoption for AI-powered products.
Engage directly with US-based clients to gather feedback and translate it into actionable product decisions.
Collaborate closely with AI architects, engineers, and designers to write user stories, prioritize backlogs, and ensure successful product outcomes.
Bachelor's or Master's degree in Computer Science, Engineering, Business, Data, or related field.
1-3 years of experience in product management, product ownership, business or data analysis, or related roles.
Practical understanding of AI/ML products and full software development lifecycle.
Fluency in English with ability to communicate directly with US-based clients and stakeholders.
Comfortable working hands-on with AI technologies such as large language models, retrieval-augmented generation, and AI prototyping tools.
Ability to take high ownership of product outcomes, driving features from idea through adoption independently.
Experience operating in Agile environments with strong analytical and problem-solving skills using data (including spreadsheets and SQL).