9,777 Product Knowledge jobs in India

Group PM - Product Knowledge

Bengaluru, Karnataka eBay

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Job Description

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

About the Role

We’re on a mission to build the most intelligent and scalable product knowledge system in eCommerce, powered by AI, structured data, and next-gen taxonomy/ontology strategies.

We’re looking for a Product Manager who thrives at the intersection of structured data, AI/ML, and search optimization—someone who can define the strategy, drive execution, and collaborate deeply with AI, data, and engineering teams to improve how millions of customers discover products.

In this high-agency, startup-like role, you’ll own and scale the AI-driven product knowledge ecosystem, ensuring our taxonomy, ontology, and catalog data power better search, recommendations, and personalization experiences.

What You’ll Do

  • Define & Implement Product Knowledge Strategy – Own the roadmap for taxonomy, ontology, structured data, and knowledge graph initiatives, aligning with AI/ML and Product teams.

  •  Drive AI-Powered Taxonomy & Ontology Development – Partner with data scientists, engineers, and analysts to build, test, and scale ML-driven classification, entity resolution, and knowledge graph models.

  •  Improve Search & Product Discovery – Ensure our structured product data directly enhances search relevance, filtering, and recommendation algorithms.

  •  Develop & Enforce Data Standards – Lead governance for taxonomy updates, structured metadata, and attribute standardization, ensuring a scalable and accurate catalog.

  •  Enable LLMs for Product Knowledge – Work with AI teams to develop LLM-powered solutions for automated tagging, classification, and enrichment.

  •  Measure & Iterate – Define key metrics and evaluation frameworks to track the impact of structured data improvements on search, recommendations, and personalization.

  •  Deeply Integrate with AI/ML Teams – Work hand-in-hand with AI, data science, and engineering to build scalable, automated solutions for product classification and catalog intelligence.

  •  What We’re Looking For

  • Product Leadership in Data/AI – 10+ years in product management, ideally in eCommerce, search, recommendations, or AI-driven product knowledge systems.

  • AI & Data Fluency – Experience working with ML models, knowledge graphs, LLMs, and structured data strategies to drive business outcomes.

  • Taxonomy & Ontology Expertise – Strong understanding of product classification, metadata structuring, and entity resolution techniques.

  • Search & Discovery Focus – Experience optimizing product search, recommendations, and structured navigation.

  • Technical Comfort – Familiarity with SQL, APIs, data pipelines, and AI/ML workflows.

  • High-Agency & Execution-Driven – Startup-like attitude with the ability to drive cross-functional alignment, influence without authority, and deliver results fast.

  • Strong Analytical & Communication Skills – Ability to translate data-driven insights into clear product strategies.

  • Why Join Us?

  • Shape the AI-powered future of eCommerce product discovery.

  • Be at the forefront of AI-driven taxonomy, ontology, and knowledge graph development.

  • Work in a high-agency, startup-like culture where your decisions directly impact millions of users.

  • Collaborate with ground breaking AI/ML teams to redefine structured data for eCommerce.

  • Drive innovations that enhance search, personalization, sellingg and product discovery.

  • Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

    eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

    The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.

    This advertiser has chosen not to accept applicants from your region.

    Product Manager-Product Knowledge

    Bengaluru, Karnataka eBay

    Posted today

    Job Viewed

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    Job Description

    At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

    Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

    Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

    We’re on a mission to build the most intelligent and scalable product knowledge system in eCommerce, powered by AI, structured data, and next-gen taxonomy/ontology strategies.

    We’re looking for a Product Manager who thrives at the intersection of structured data, AI/ML, and search optimization—someone who can define the strategy, drive execution, and collaborate deeply with AI, data, and engineering teams to improve how millions of customers discover products.

    In this high-agency, startup-like role, you’ll own and scale the AI-driven product knowledge ecosystem, ensuring our taxonomy, ontology, and catalog data power better search, recommendations, and personalization experiences!

    What You’ll Do

  • Define & Implement Product Knowledge Strategy – Own the roadmap for taxonomy, ontology, structured data, and knowledge graph initiatives, aligning with AI/ML and Product teams.

  •  Drive AI-Powered Taxonomy & Ontology Development – Partner with data scientists, engineers, and analysts to build, test, and scale ML-driven classification, entity resolution, and knowledge graph models.

  •  Improve Search & Product Discovery – Ensure our structured product data directly improves search relevance, filtering, and recommendation algorithms.

  •  Develop & Enforce Data Standards – Lead governance for taxonomy updates, structured metadata, and attribute standardization, ensuring a scalable and accurate catalog.

  •  Enable LLMs for Product Knowledge – Work with AI teams to develop LLM-powered solutions for automated tagging, classification, and enrichment.

  •  Measure & Iterate – Define metrics and evaluation frameworks to supervise the impact of structured data improvements on search, recommendations, and personalization.

  •  Deeply Integrate with AI/ML Teams – Work hand-in-hand with AI, data science, and engineering to build scalable, automated solutions for product classification and catalog intelligence.

  •  What We’re Looking For

  • Product Leadership in Data/AI – 2+ years in product management, ideally in eCommerce, search, recommendations, or AI-driven product knowledge systems.

  • AI & Data Proficiency – Experience working with ML models, knowledge graphs, LLMs, and structured data strategies to drive business outcomes.

  • Taxonomy & Ontology Expertise – Proven understanding of product classification, metadata structuring, and entity resolution techniques.

  • Search & Discovery Focus – Experience optimizing product search, recommendations, and structured navigation.

  • Technical Comfort – Familiarity with SQL, APIs, data pipelines, and AI/ML workflows.

  • High-Agency – Startup-like attitude with the ability to drive cross-functional alignment, influence without authority, and deliver results fast.

  • Strong Analytical & Communication Skills – Ability to translate data-driven insights into clear product strategies.

  • Why Join Us?

  • Craft the AI-powered future of eCommerce product discovery.

  • Be at the forefront of AI-driven taxonomy, ontology, and knowledge graph development.

  • Work in a high-agency, startup-like culture where your decisions directly impact millions of users.

  • Collaborate with ground breaking AI/ML teams to redefine structured data for eCommerce.

  • Drive innovations that improve search, personalization, selling and product discovery.

  • Please see the for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.

    eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

    The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our for more information.

    This advertiser has chosen not to accept applicants from your region.

    Retail Sales/customer Service

    Malappuram, Kerala TOY BABY BOUTIQUE (RNB FASHION LLP)

    Posted today

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    Job Description

    * Greeting and directing customers
    - Providing accurate information (e.g. product features, pricing and after-sales services)
    - Answering customers’ questions about specific products/services
    - Follow up Store SOP
    - Stock Management
    - Sales Target Achievement

    Location: Valanchery, Edappal, Changarakulaam, Puthampally, Alathiyoor, Vengara

    WhatsApp :

    **Job Types**: Full-time, Fresher

    Schedule:

    - Day shift
    - Morning shift
    - Night shift
    - Rotational shift

    Supplemental pay types:

    - Overtime pay
    - Performance bonus

    **Experience**:

    - total work: 1 year (preferred)

    Ability to Commute:

    - Malappuram, Kerala (required)

    Ability to Relocate:

    - Malappuram, Kerala: Relocate before starting work (required)

    **Speak with the employer**
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    Staff Inbound Product Manager - Knowledge Graph

    Hyderabad, Andhra Pradesh ServiceNow

    Posted today

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    Job Description

    Job Description

    Team:
    Part of platform AI experiences group which builds AI products such as VA, AI agent, AI Search, Predictive Intelligence etc.
    The Intelligent Services team is at the forefront of redefining how enterprises harness AI to deliver meaningful outcomes. Positioned within ServiceNow’s AI Innovation org, it unifies AI Search, Knowledge Graph, advanced Conversation Mining and Clustering. It is the connective tissue that advances our enterprise search capabilities, help customers uncover new agentic opportunities, drive value, and enable real-time performance and CSAT measurement. Together, the Intelligent Services layer forms the foundation for Now Assist and Agentic AI, giving ServiceNow a unique advantage in delivering AI that truly knows customers business. 

    What you get to do in this role:  

    • Drive product strategy for Knowledge Graph and how Knowledge Graph enables the generative AI or traditional AI experiences across ServiceNow’s product suite
    • Own the end-to-end product lifecycle, from ideation to roadmap definition, execution in collaboration with ML research, engineering, UX research, and design partners
    • Drive customer pilots and work with GTM teams to enhance adoption of Knowledge Graph with clearly defined usage, quality and adoption metrics
    • Partner with other product teams to drive adoption of Knowledge Graph and Generative AI capabilities.
    • Develop strategic communication tailored to diverse audiences—internal and external, technical and non-technical.
    • Continuously evaluate the market and competitive landscape and the user and customer feedback into product strategy and eventual roadmap
    • Overall, you will have the opportunity to translate complex, ambiguous problems into product features loved by customers

    Qualifications

    To be successful in this role you have:

    • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
    • 6+ years of AI product management experience, experience in B2B products is a plus but not mandate.
    • Deep understanding of AI use cases and their applications across enterprise software products or experience building Knowledge Graph, Generative AI, NLP, virtual agent, or search capabilities is a plus
    • Strong prioritization skills and the discipline to focus on high impact activities
    • Experience defining and capturing product requirements and transforming them into a product roadmap
    • Deep curiosity about customer needs and a track record in building customer relationships and delivering customer-centric solutions
    • Drive solution development through big-picture solution development
    • Ability to serve as a team lead and coach employees at lower levels

    FD21



    Additional Information

    Work Personas

    We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

    Equal Opportunity Employer

    ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

    Accommodations

    We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance. 

    Export Control Regulations

    For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

    From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. 

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    Retail Sales Associate

    Bengaluru, Karnataka White Force

    Posted today

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    Job Description

    Job description

    Counter Sales Responsibilities:

    -Greeting customers and taking orders.

     -Processing payments.

    -Assisting customers with queries and providing solutions quickly.

     -Possessing excellent product knowledge to inform and increase sales.

    -Following up on orders to prevent delay and frustration.

    -Updating the product inventory.

     -Cleaning the customer area during quiet times to ensure a neat appearance.

    -Ensuring that each customer leaves the store satisfied.

    Required Skills:

    -High school diploma.

    -Knowledge and use of cash register.

    -On the job training.

    -Excellent interpersonal and communication skills.

    -Good personal appearance.

    -Conflict management skills preferred.

    INTERESTED CANDIDATES CAN APPLY OR CONTACT:

    POONAM TIWARI




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    Retail Sales Associate

    Pen, Maharashtra Wegmans

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    Job Description

    Description

    :

    Customers tell us they choose Wegmans for the helpful people in our stores and the freshest ingredients possible! As a team member in one of our perishable departments, you will educate customers on great-tasting products and healthy meals options. The departments we're hiring for may include Bakery, Cheese, Deli, Meat, Produce, Seafood and more! If you love working in a fast-paced and dynamic environment Wegmans is the place for you!

    What You'll Do

  • Provide incredible service by greeting customers, answering questions, and offering product suggestions
  • Maintain department cleanliness in accordance with company food safety guidelines
  • Properly store, rotate and stock perishable items to ensure freshness
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    Retail Sales Associate

    Jalandhar, Punjab White Force

    Posted today

    Job Viewed

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    Job Description

    Job description

    Counter Sales Responsibilities:

    -Greeting customers and taking orders.

     -Processing payments.

    -Assisting customers with queries and providing solutions quickly.

     -Possessing excellent product knowledge to inform and increase sales.

    -Following up on orders to prevent delay and frustration.

    -Updating the product inventory.

     -Cleaning the customer area during quiet times to ensure a neat appearance.

    -Ensuring that each customer leaves the store satisfied.

    Required Skills:

    -High school diploma.

    -Knowledge and use of cash register.

    -On the job training.

    -Excellent interpersonal and communication skills.

    -Good personal appearance.

    -Conflict management skills preferred.

    INTERESTED CANDIDATES CAN APPLY OR CONTACT:

    POONAM TIWARI



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    Retail Sales Associate

    Pune, Maharashtra Aone HR Services

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    Job Description

    **Hiring For a Leading Luxury Pet Care Brand.**

    **Job Title
    - **Retail Sales Store Associate / Senior Sales Store associate.

    **Age Limit** 18-28

    **Education** 12th/Graduation or equivalent

    **Experience**:

    - 1 to 5 years in retail sales / apparel's.

    **Position Summary**

    The Senior Store associate is responsible for all activities at the store in the absence of the assistant manager
    or store manager. His/her job description entails ensuring maximum sales by the store as well as excellent
    customer service in helping customers locate, select, and purchase products. He/she serves as the company
    brand representative, upholding the highest standards in carrying out daily functions. The senior Store
    associate’s role involves providing exceptional customer care and achieving sales goals to ensure the store’s
    objectives on sales and profits are met. He/she is expected to take on higher responsibilities that may be
    assigned by the manager or assistant manager within the store.
    With such employers, the purpose of the senior store associate’s role may include generating sales to surpass
    personal sales goals, as well as effectively promoting the company’s programs. The associate should be well
    trained to be able to give effective sales presentations and build rewarding relationships with customers.
    The duties of the senior store associate also involve promoting customer loyalty and giving each customer the
    best service they have ever got. The senior store associate work description also involves ensuring the security
    of the store.

    **Responsibilities**

    Ensure high levels of customer satisfaction through excellent sales service
    - Maintain outstanding store condition and visual merchandising standards
    - Maintain a fully stocked store
    - Ascertain customers’ needs and wants
    - Recommend and display items that match customer needs
    - Welcome and greet customers
    - Manage point-of-sale processes
    - Actively involved in the receiving of new shipments and checking inventory
    - Keep up to date with product information
    - Accurately describe product features and benefits
    - Follow all companies’ policies and procedures

    **Qualifications, Skills and Competencies**
    - Proven working experience in retail sales
    - Basic understanding of sales principles and customer service practices
    - Excellent Communication Skills
    - Customer service focused
    - Animal Lover Preferred

    **Job Types**: Full-time, Regular / Permanent

    **Salary**: ₹20,000.00 - ₹25,000.00 per month

    **Benefits**:

    - Flexible schedule
    - Health insurance
    - Leave encashment
    - Paid sick time
    - Provident Fund

    Schedule:

    - Day shift
    - Rotational shift

    Supplemental pay types:

    - Commission pay
    - Joining bonus
    - Overtime pay
    - Performance bonus
    - Quarterly bonus
    - Shift allowance
    - Yearly bonus

    Ability to commute/relocate:

    - Pune, Maharashtra: Reliably commute or planning to relocate before starting work (required)

    **Experience**:

    - Retail sales: 1 year (required)

    **Language**:

    - English (required)
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    Retail Sales Associate

    Chennai, Tamil Nadu INOX Leisure Limited

    Posted today

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    Job Description

    Leading Multiplex in Chennai looking for Retail Sales Associate for its Velacherry location. Interested can share your resumes.

    Salary : Rs. 15000 to Rs. 18000 per month
    Gender : Male / Female
    Qualifications : SSLC/PUC/Any Degree/Diploma

    **Job Types**: Full-time, Regular / Permanent

    **Salary**: ₹15,000.00 - ₹18,000.00 per month

    **Benefits**:

    - Health insurance
    - Provident Fund

    Schedule:

    - Day shift
    - Evening shift
    - Morning shift
    - Night shift
    - Rotational shift

    Supplemental pay types:

    - Overtime pay
    - Shift allowance
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    Retail Sales Associate

    Chennai, Tamil Nadu Sachik Home Lifestyle LLP

    Posted today

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    Job Description

    Required - Experience or Fresher
    - Education - 12th / Diploma/ Graduate
    - Package - Best in the Industry
    - Location - Chennai & Bangalore

    **Responsibilities**:

    - Plan, organize, deliver targeted sales, visual merchandising standards
    - Deliver on sales targets and ensure that sales analysis is carried out by SKU Segment Collection to derive maximum sales for fast moving profitable products

    Skills The incumbent must demonstrate the following skills:

    - Ability to meet, greet, sellAbility to start and close sales callsUnderstand commercial processesTeam Playing abilitiesAnalytical and problem solvingDecision making skillsEffective verbal, presentation and listening communications skillsEffective written communications skillsComputer skills including the ability to operate computerize reporting, presentationsStress management skillsTime management skills Personal Attributes The incumbent must demonstrate the following personal attributes:Be honest and trustworthyBe respectfulPossess cultural awareness and sensitivityBe flexible

    Pay: ₹12,000.00 - ₹18,000.00 per month

    **Benefits**:

    - Provident Fund

    Schedule:

    - Day shift

    Supplemental pay types:

    - Performance bonus

    **Language**:

    - English (required)

    Shift availability:

    - Day Shift (preferred)
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