Merchandiser (Plush Toys) at Strings Marketing Private Limited · Greater Noida, Noida, Delhi · 4 - 6 years · ₹8L - ₹10L / yr · Posted 1 Sep 2026

Role Overview
- Position: Merchandiser - Plush Toys
- Location: Greater Noida (Work from Office)
- Experience & CTC: 4–6 Years
- Education: Graduate (Textile preferred)
- Core Objective: Manage end-to-end order execution—from buyer communication and product costing to sampling, production tracking, quality compliance, and timely export shipment.
Key Responsibilities
- Buyer & Account Management: Serve as the primary contact for buyer inquiries, quotations, order confirmations, and relationship management.
- Sampling & Costing: Oversee sample development/approvals and build detailed product costing sheets to meet target gross margins.
- Sourcing & Production: Coordinate with sourcing for fabrics, fillings, and trims, while monitoring factory production schedules to prevent delays.
- Quality & Logistics: Partner with QA to enforce safety and product standards, and coordinate with export/logistics teams for final documentation and dispatch.
Key Requirements & Skills
- Technical: Strong background in plush/soft toys or textiles, product costing, sourcing, production tracking, export documentation, MS Excel, and ERP systems.
- Behavioral: High attention to detail, negotiation skills, multi-order management, and strong cross-functional coordination.

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Job Title: Order Management Executive (Order, Warranty & Returns)
Location: Golf course road, Gurgaon
Experience: 2-5 year in order management (O2C)
salary: negotiable
Qualificaton: Graduate
Working days: Monday to Saturday (Monday to Friday - office & Saturday – WFH)
Shift Timings: 9:30 AM to 6 PM
The Operations Specialist manages the end-to-end post-purchase customer experience. This role oversees order fulfilment, investigates product return trends, and coordinates the warranty validation process. You will bridge the gap between logistics, customer service, and quality assurance to optimize operational efficiency.
Key Responsibilities
Order Management -
- Process incoming orders across multi-channel e-commerce platforms.
- Track shipment milestones to ensure on-time delivery metrics.
- Resolve order bottlenecks by coordinating directly with warehouse teams.
- Manage inventory allocations for backordered or high-demand items.
Return Investigation &; Reporting -
- Analyse return data to identify systemic product defects.
- Generate weekly reports on return rates and root causes.
- Inspect flagged return items to verify customer fraud or damage.
- Collaborate with QA teams to implement corrective action plans.
Warranty Processing & Coordination -
- Evaluate warranty claims against established company policy guidelines.
- Coordinate replacement logistics or issue customer credits efficiently.
- Maintain documentation of all claim approvals and denials.
- Liaise with vendors regarding factory-level defects and reimbursement.
Job Requirements -
- Education: Bachelor’s degree is a must.
- Experience: 2–5 years in Operations or Order management.
- Systems: Proficiency with ERP software (SAP exp will be a Plus).
- Data Skills: Advanced Excel capabilities (VLOOKUPS, Pivot Tables) are must. Core Competencies
- Order creation: Order to Cash experience is must.
- Exposure: Global customer handling will be a plus.
- Analytical Mindset: Ability to translate raw data into actionable insights.
- Attention to Detail for RIR: Precision in auditing claims and processing orders.
- Communication: Strong cross-functional collaboration and vendor management skills.
- Problem-Solving: Quick resolution of logistics conflicts and customer disputes.
Mail updated resume with salary details-
email: etalenthire{at}gmail{dot}com
satish: 88O 27 49 743
Location: Chennai (On-site)
Experience: Minimum 2+ years in e-commerce operations
About the Company
A leading premium menswear brand with a strong omni-channel presence across India. The company is known for its high-quality apparel and growing e-commerce footprint via its own platform and leading marketplaces.
Role Overview
The Ecommerce Manager – Operations will be responsible for ensuring seamless marketplace operations, catalog accuracy, supply chain coordination, and operational excellence across platforms. This role requires strong analytical skills, vendor management capabilities, and hands-on execution to support digital growth.
Key Responsibilities
- Marketplace Operations: Manage daily operations across Amazon, Flipkart, Myntra, Ajio, TataCliq, and other marketplaces.
- Catalog Management: Oversee product listings, SKU creation, stock updates, and campaign readiness.
- Order Fulfillment: Coordinate with supply chain teams to ensure timely dispatches, inventory accuracy, and smooth customer experience.
- Vendor & Partner Coordination: Liaise with marketplace SPOCs, logistics partners, and internal teams for operational efficiency.
- Performance Monitoring: Track KPIs including order accuracy, turnaround time, returns, and reconciliation.
- Process Optimization: Identify gaps, streamline workflows, and implement automation for efficiency.
- Compliance & Reporting: Ensure adherence to marketplace policies and generate weekly/monthly operational reports.
Desired Skills & Competencies
- Strong knowledge of e-commerce operations and marketplace workflows
- Advanced proficiency in MS Excel; familiarity with ERP/e-commerce tools preferred
- Analytical mindset with problem-solving orientation
- Excellent communication and stakeholder management skills
- Ability to work on-site in Chennai with cross-functional teams
Education
- Bachelor’s degree in Business, Commerce, or related field
- MBA preferred but not mandatory
Note: The interested professionals with relevant experience should be currently based in South India.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Purchase Engineer / Purchase Executive
Company: Vardhaman Plastochem Pvt. Ltd.
Location: Govandi, Mumbai
Experience: 2–5 Years
Industry: Plastic / Manufacturing
Shift: 10–12 Hours
Education: Diploma / B.E. / B.Tech in Mechanical or Electrical Engineering
Summary:
We are looking for a Purchase Engineer / Purchase Executive with 2–5 years of experience in the plastic or manufacturing industry. The candidate will be responsible for sourcing materials, vendor development, purchase coordination, negotiation, and ensuring timely availability of materials as per production requirements.
Job Description:
- Manage procurement of raw materials, consumables, spare parts, and engineering items.
- Identify, evaluate, and develop reliable vendors and suppliers.
- Obtain quotations, compare prices, negotiate rates, and finalize purchase orders.
- Coordinate with production, stores, maintenance, and accounts teams for purchase requirements.
- Ensure timely delivery of materials as per production schedules.
- Monitor purchase orders, pending orders, delivery schedules, and supplier performance.
- Maintain purchase records, vendor data, quotations, and documentation.
- Follow up with suppliers regarding quality, quantity, and delivery issues.
- Support cost reduction and alternative vendor development.
- Ensure procurement as per company quality and commercial requirements.
Requirements:
- Diploma / B.E. / B.Tech in Mechanical or Electrical Engineering.
- 2–5 years of experience in Purchase/Procurement, preferably in the Plastic/Manufacturing industry.
- Good knowledge of vendor management, sourcing, negotiation, and purchase processes.
- Strong communication and coordination skills.
- Good knowledge of MS Excel and purchase documentation.
- Willingness to work 10–12 hour shifts.
Position Overview:
We are building a new retail merchandising platform on top of that data. It answers what to stock, how much, and in which store, combining sales, catalogue, and customer data with GeoIQ’s location attributes at retail scale: thousands of stores, tens of thousands of SKUs, decisions made weekly.
As the product manager on this platform, you will own how those decisions reach the people who make them: category managers, planners and store operations teams. The models are being built alongside the product, so you will decide what gets built, in what order, and how its output fits into a buyer’s weekly planning cycle. You will work every day with data science and engineering, and what you ship changes what a store actually orders.
Responsibilities:
- Own one or more platform modules (demand forecasting, assortment planning, replenishment, new-launch allocation) from problem definition through to adoption.
- Spend time with merchandisers, category managers and store teams to understand how buying and replenishment decisions are made today, often in spreadsheets, and where that process breaks.
- Write specs that data science and engineering can build from: the decision being supported, its inputs, the business rules and constraints (minimum display quantities, pack sizes, warehouse reserves, brand rules), and what a good output looks like.
- Design the workflows that let planners act on model output with confidence: recommendation screens, overrides, explanations and exception queues.
- Define success metrics with the business (sell-through, stockouts, inventory turns, forecast accuracy, recommendation acceptance) and set up pilot-versus-control rollouts to measure them.
- Run pilots with store clusters and categories, gather feedback, and decide what changes before a module scales to the full network.
- Lead discovery when the platform extends to new brands and markets, each with its own data, supply chain and planning process.
- Keep the roadmap, priorities and trade-offs clear to merchandising, category, supply chain and leadership teams.
Expectations:
- Work experience: 2–5 years, with at least 2 years in product management
- Prior experience taking a product from problem definition to adoption by real users
- Comfortable with data: able to write SQL, work through a spreadsheet model, and read a model evaluation or A/B test result
- Clear written communication, including specs that engineers and data scientists can build from without a meeting
- Understanding of how ML-driven products differ: probabilistic outputs, accuracy limits, and the need for user overrides
- Experience with B2B, internal tools or data-heavy products will be an added advantage
- Experience in retail, e-commerce, merchandising, supply chain or inventory planning will be an added advantage
- Prior experience as an analyst, engineer or data scientist will be an added advantage
Join us early and own the product that decides what thousands of stores stock each week, working directly with the merchants who use it and the team that builds it.







