Product Owner

Exathought

4 - 7 years

12 - 20 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

ai-based product development artificial intelligence natural language processing scrum business analysis hugging face transformers agile openai apis spacy scrum product owner certification

Work Mode

Work from Office

Job Type

Full Time

Job Description

3-6 years of professional experience, with at least 2+ years as a
Product Owner/Business Analyst
in Agile/Scrum teams.
Hands-on experience in building or managing
NLP/AI-driven products
(chatbots, conversational AI, knowledge assistants, text analytics, etc.).
Strong understanding of NLP concepts such as entity recognition, sentiment analysis, embeddings, and generative AI.
Proven ability to write clear, structured
user stories
, acceptance criteria, and backlog items.
Excellent stakeholder management, communication, and prioritization skills.
Experience working with cross-functional Agile squads (engineering, data science, QA, design).
Basic technical background (ability to read API specs, SQL queries, or ML pipeline workflows).
Scrum Product Owner Certification (CSPO, PSPO) is a plus.

Familiarity with Agile tools (JIRA, Confluence, Azure DevOps, or similar).
Define, own, and communicate the product vision, roadmap, and success metrics for NLP-based products.
Build and maintain the product backlog, ensuring features are well-defined, prioritized, and aligned with business goals.
Work closely with Data Scientists, AI/ML Engineers, and Software Engineers to refine requirements for NLP use cases (e.g., text classification, chatbots, sentiment analysis, entity extraction).
Translate complex NLP/AI concepts into business-friendly language for stakeholders and client teams.
Act as the main point of contact for requirements clarification during sprints.
Ensure delivered increments meet acceptance criteria and add business value.
Continuously gather feedback from end users and stakeholders to evolve the product.
Stay up to date with emerging NLP trends and tools (transformer models, embeddings, LLMs, vector databases, etc.) to bring innovation into the product strategy.

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