You will be part of the Core Commerce Platform organisation responsible for delivering the omnichannel commerce capabilities that power the purchase journey, inventory availability, delivery promise, order processing & fulfilment and post-purchase experiences across channels. The organisation plays a critical role in ensuring products are available to buy, orders can be fulfilled reliably, and commitments made to consumers are delivered consistently. Through a portfolio of commerce platform capabilities, the organisation enables seamless omnichannel experiences while supporting efficient, scalable, and resilient commerce operations across the global digital ecosystem.

As an OMS Lead Engineer, you will provide technical leadership for the team building and supporting omni-channel commerce capabilities. You will own technical architecture, engineering standards, and key technology decisions while ensuring solutions are scalable, reliable, resilient, and aligned with the broader commerce platform strategy. Working closely with the Engineering Manager, Product Owners and Retail Tech Teams, you will deliver scalable, resilient, and secure omni-channel commerce capabilities. You will champion engineering best practices, code quality, observability, and continuous improvement across the team.

What you will do:

• Lead the design, development, and evolution of Order Management capabilities including order orchestration, inventory availability, fulfilment, returns, and post-purchase experiences.

• Own the technical architecture, engineering standards, and key technology decisions for OMS platforms and related integrations.

• Design and build scalable, resilient, API-first and event-driven services supporting omnichannel commerce use cases such as Click & Collect (BOPIS), Ship-from-Store, Endless Aisle, and Delivery Promise. Partner with Product Owners, Architects, Retail Technology, Supply Chain, and Business stakeholders to translate requirements into robust technical solutions.

• Drive integration of OMS with Commerce Platforms, ERP, WMS, Payments, Logistics, and Customer Service systems.

• Ensure inventory visibility, order processing, fulfilment, and returns workflows are accurate, reliable, and scalable across channels and regions.

• Champion engineering excellence through code quality, automated testing, secure development practices, and continuous improvement.

• Establish and promote best practices in microservices, cloud-native architecture, observability, performance optimization, and reliability engineering.

• Mentor and coach engineers, providing technical guidance, architecture reviews, and hands-on support for complex initiatives.

• Drive adoption of AI-assisted engineering practices and automation to improve developer productivity, quality, and delivery efficiency.

• 10+ years of hands-on experience designing and building Order Management capabilities using Java/Spring Boot or equivalent frameworks, including implementation, extension, integration, and customization of packaged or custom order management solutions.

• 3+ years of experience leading a technical capability, project or engineering team.

• Experience with enterprise order management platforms such as Fluent Commerce (preferred), IBM Sterling OMS, Manhattan Associates, Kibo Commerce, or Salesforce OMS is highly desirable.

• Hands-on software engineering experience with Java, Spring Boot, and modern microservices architectures, building scalable, resilient, and production-grade services.

• Deep understanding of the end-to-end order lifecycle, including order capture, sourcing, fulfilment, shipment, returns, exchanges, and post-purchase processes.

• Proven experience customizing and extending OMS capabilities to support evolving business requirements, omnichannel fulfilment models, and enterprise integrations.

• Strong knowledge of omnichannel commerce operations, including Ship-from-Store (SFS), Buy Online Pick Up In Store (BOPIS), Ship-to-Store, Curbside Pickup, Endless Aisle, and associated order routing strategies.

• Solid understanding of inventory management, sourcing optimization, fulfilment orchestration, and order allocation concepts across stores, DCs, and third-party fulfilment networks.

• Proven experience integrating OMS platforms with Commerce, WMS, ERP, POS, Payment, 3PL, Carrier, and Customer Service systems to enable end-to-end order visibility and orchestration.

• Experience designing OMS-centric microservice architectures with clear domain boundaries across Order Management, Inventory, Sourcing, Fulfilment, Returns, and Customer Service capabilities.

• Hands-on experience with Kafka or similar event-streaming platforms for event-driven architectures, asynchronous processing, and enterprise-scale system integrations.

• Experience with performance engineering, scalability testing, and optimization of high-throughput, business-critical commerce platforms.

• Experience defining and implementing capacity planning, resiliency, and scaling strategies to support peak trading events and global commerce operations.

• Experience driving technical architecture, establishing engineering standards, mentoring engineers, and influencing technical direction across cross-functional teams.

• Experience leveraging AI-assisted engineering tools, coding agents, and LLM-powered development workflows to improve engineering productivity, software quality, and delivery efficiency.

Ensure a consistent, high-quality PUMA visual identity across all eCommerce on-model imagery. Own the creative direction on set and act as the final decision-maker for image quality and brand alignment.

Key Objectives:
 

•Day-to-day scheduling of all shoot workflows across the studio, ensuring maximum utilisation without compromising quality

•Sample management end-to-end: coordinating intake from global and regional sample shipments, tracking through shoot, and ensuring timely return

•Workflow design and continuous improvement across the packshot, OMI, and AI-assisted production pipelines

•Equipment maintenance schedule: all cameras, lighting, cyclorama, and booth hardware kept in shoot-ready condition

•Studio readiness for peak season surges, including shift planning and temporary crew scaling

•Briefing and directing Production, Art Direction, Styling and Postproduction, ensuring every shoot brief is understood and executed correctly

•Building a performance culture: regular feedback, skills development, and holding the team to the PUMA visual standard on every output

•Support the AI workflow integration — ghost mannequin swaps, background generation, 3D spin outputs — ensuring AI-assisted assets meet the same standard as studio-shot content

•Budget stewardship for studio consumables, equipment maintenance, and day-to-day operational spend

•Being the human connective tissue between the production team, the global content team in Germany, and the India operations function

• Prepared seasonal development reports in Excel to track product details, style information, pricing, supplier and factory allocation, supporting development planning and progress tracking
• Reviewed development samples for color, fabric, embellishment placement, and workmanship, providing technical comments to support sample improvements
• Utilized PUMA's systems to create colorways, price lists, generate SF Tables and care labels, update development comments, and verify BOM accuracy throughout the development process
• Coordinated sample shipments and customs clearance with courier partners (DHL, UPS, and SF Express), ensuring timely sample delivery across global development teams

• Good English Speaking
• Well-organized
• Detail-oriented
• Supportive
• Willing to learn

• The primary role is to manage and execute finance function as per below:
• Oversee the daily accounting and management reporting: Accounts payable for oversea vendors and customs, in line with company policies, standard operating procedures, and authorization matrix. Allocation of expense and manage the accuracy of cost center recorded in SAP. Manage the month-end actual reporting per Reporting Manual
• Tax reporting and statutory compliance : Responsible for Tax compliance. Making sure all the relevant tax topics like TP, WHT, VAT, CIT etc taken care. Tax returns are filed and paid on time and in compliance with tax provisions liaise with consultants and tax authorities during tax audits. Coordinate and complete annual audit with external auditors 
• Oversee treasury functions: Collections and disbursements are managed efficiently, and liquidity planning is line with business requirement, liaising with banks. Manage the long-term loan registration with SBV. Zoho, Automation, lean ERP Project. Perform/Lead ad hoc projects for the continuous improvement of Finance Department – SAP system enhancement, Zoho enhancement, etc

• Bachelor’s degree in Accounting, Finance, or a related field
• Valid Chief Accountant Certificate required
• 8–10 years of progressive experience in finance and accounting
• Background in multinational corporations (MNCs) or professional audit firms
• 1+ years of supervisory or team management experience preferred
• Professional fluency in English (written and verbal)
• Advanced proficiency in Microsoft Excel
• Hands-on working knowledge of SAP

• Maintaining RESEC Campaigns, Zoning and Key initiative roll-out

• Elevated shopping experience and customer readiness of stores focus on store visits and audit

• Fostering VM creativity at stores - Focus on VM training to guide store team to understand brand guidelines and help create an attractive, engaging store environment. Enhancing brand image, improve customer experience and drive sales

• Responsible for sharing monthly beat plan covering all formats of stores

• Innovation and creativity for the lighthouse stores

• Net Sales

• Stock Cover

• Budget efficiency

• Constant upliftment of look & feel of stores

• Internal: Visual Merchandising Team, Sales Ops Team, Merchandising Team and Project Team

• External: Hangers Vendors, Mannequin Vendors and Print media vendors

• Proven work experience as a Visual Merchandiser or Visual Manager

• Demonstrable visual design skills with a strong retail merchandising portfolio

• Solid experience in field visual merchandising, including window displays, signs, interior displays and space utilization

• Proficiency in Microsoft presentation & excel, Photoshop, Illustrator and other visual design tools

• Knowledge of current visual merchandising trends and best practices

• Knowledge of photography

• Creative and innovative thinker

• Ability to analyze sales merchandising reports and survey results

• Bachelors/Masters degree in visual merchandising, fashion merchandising, exhibition design, visual communications or similar

• Acing Number game- analyzing and tracking of the executions done

• A proficient communicator.

• Directly responsible for ensuring the Store consistently achieves or exceeds sales, KPIs and profitability goals through the effective use of short and long term planning, expense control, sales and service
• Guarantee consistently high standards of customer experience within the Store in accordance with PUMA’s Cornerstones and service standards
• Responsible for recruitment, training, development and succession of high performing, results driven Associates
• Accountable for payroll control and service driven scheduling in order to maintain a highly profitable location while providing the highest levels of service to customers
• Directly responsible for ensuring that all training programs, both Domestic and Global, are fully implemented, functional and results driven within the store
• Analyze customer profiles, buying trends, and competitive information to impact and drive business. Communicate and provide feedback to Area/District Manager
• Implement, manage and monitor Loss Prevention education, training and awareness programs
• Directly responsible for execution and processing of both incoming and outgoing merchandise
• Directly responsible for Loss Prevention compliance within store
• Achieve or exceed all Inventory and Shrink goals; oversee and manage Physical Inventory counts
• Manage and communicate merchandise opportunities to Area or District Manager
• Communicate, manage and execute all Marketing opportunities and events within budget and according to all Policies & Procedures
• Develop and maintain strong communication with local PR and marketing
• Participate in new store openings and/or store closings; travel may be required
• Attend Store Manager Meetings as well as all offsite training and position related meetings as required by Area/District Manager; travel may be required
• Ensure execution and maintenance of all Visual Directives as well as guaranteeing the visual presentation of the Store always meets or exceeds PUMA standards
• Maintain physical condition of Store according to relevant guidelines and communicate maintenance needs in a timely manner 
• Required to comply with all operational core competencies and key accountabilities
• Execute all requirements necessary to maintain a safe and compliant working environment for all Store Associates
• Required to work non-traditional hours; weekends, evenings, holidays; overtime may be required

• Two to four years of management experience in a focused, customer service oriented retail environment (preferably apparel/footwear) with results driven track record
• Proven ability to exceed sales while meeting payroll goals, demonstrated ability to identify, hire, train, develop and retain top talent Associates as well as teams, ability to reason through complex issues, demonstrates effective communication, ability to present information to large groups
• Strong interpersonal, communication and motivational skills
• Strong organizational and time management skills
• Practical experience in Project Management, skills in implementing communications methods and event management
• Commercial acumen
• Interest in innovation and change
• Leadership
• PC-skills, MS-Office Knowledge, Lotus Notes, Internet

The Assistant Manager, Commercial Planning is responsible for driving regional planning excellence across SEA by consolidating forecasts, supporting seasonal planning, monitoring business performance, and providing data-driven insights to optimize sell-in, inventory, and commercial performance. The position requires planning expertise, commercial acumen, analytical skills, and cross-functional collaboration to improve forecast accuracy, standardize regional planning processes, and support data-driven business decisions across SEA Wholesale Multi channels.

Task 1: Regional Forecast Planning
-    Develop and consolidate seasonal sales forecasts by customer segment and division across SEA Wholesale Multi channels.
-    Drive forecast accuracy through sales analysis, customer demand planning, and business trend evaluation.
-    Support seasonal range and sales forecasting to optimize commercial performance.
-    Monitor forecast performance and recommend actions to improve planning accuracy.
 

Task 2: Seasonal Planning & Execution
-    Support seasonal planning activities, including Preline Meetings, Trade Shows, and customer reviews.
-    Prepare Channel Review Decks, planning materials, and business presentations.
-    Coordinate Wholesale PO planning and seasonal planning timelines.
-    Ensure timely execution of key seasonal planning milestones.

Task 3: Business Performance Analysis
-    Monitor sell-in, sell-through, inventory, and key business KPIs across SEA Wholesale Multi channels.
-    Prepare regional sales reports, performance dashboards, and business analysis.
-    Identify commercial risks and growth opportunities through business performance analysis.
-    Provide data-driven insights to support commercial decision-making.

Task 4: Planning Process Management
-    Standardize regional planning processes, forecasting methodologies, and reporting templates.
-    Maintain planning tools, templates, and databases to ensure data accuracy and consistency.
-    Drive continuous improvements to enhance planning efficiency and forecast accuracy.
-    Coordinate regional planning reviews and Global planning alignment.

Task 5: Business Partnership & Planning Excellence
-    Collaborate closely with Cluster Leads, Category Merchandising, Country Sales, GTM, Business Intelligence, and Planning teams to support regional business planning.
-    Translate commercial insights into actionable planning recommendations to optimize sell-in, inventory productivity, and forecast accuracy.
-    Support strategic business decisions through planning expertise, business analysis, and cross-functional collaboration.
-    Build strong partnerships with internal stakeholders to drive regional planning excellence across SEA Wholesale Multi channels. 
 

Education: Bachelor’s degree in Finance, Business Management or relevant studies.

Professional: Possess strong commercial acumen and a solid understanding of products, consumer trends, and market dynamics to support data-driven planning and business decisions. Entrepreneurship beyond the written responsibilities, as the position required borderless partnership across internal and external counterparts to create additional values on top of the existing business.

IT Skills: Advanced level in Microsoft Excel and Power Point

Language Skills: English
 

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Lead Engineer, you will provide technical leadership for the team building production grade backend services that power personalisation and recommendation capabilities. You will own technical architecture, engineering standards and key technology decisions, ensuring solutions are scalable, reliable, and resilient. Working closely with the Engineering Manager, Product Owners, and Data Engineering teams, you will deliver low latency services that support real-time consumer experiences. You will champion engineering best practices, code quality, observability, and continuous improvement across the team.

What you will do:

• Lead the design and development of personalisation and recommendation services & applications.
• Own technical architecture, engineering standards, and key technology decisions across model serving, inference, and recommendation platforms.
• Design and build scalable, low latency APIs, event-driven services, and integration layers that support real-time and batch recommendation use cases.
• Partner with AI/ML Engineers and Data Engineers to deploy machine learning models and recommendation algorithms relevant for the business use case.
• Design and implement model serving, inference, feature access and experimentation capabilities that support personalisation and recommendation.
• Integrate LLM APIs and AI services to enable intelligent consumer experiences and business capabilities.
• Ensure solutions are secure, observable, reliable, and resilient through strong engineering practices.
• Drive engineering excellence through architecture reviews, code reviews, technical mentorship, and continuous improvement.
• Optimise performance, scalability, reliability, and operational efficiency through automation and proactive improvements.
• Leverage AI-assisted engineering practices and tools to improve engineering productivity, code quality, and delivery effectiveness.
• Provide technical leadership across teams.

• 10+ years of experience designing and building large scale distributed backend systems on cloud-native platforms.
• 3+ years of experience leading a technical capability, project or engineering team.
• Hands-on experience building and operating recommendation systems, personalisation capabilities.
• Strong understanding of production ML integration patterns, including model serving, inference, experimentation, feature access, observability, and operationalisation of ML capabilities.
• Experience building model serving and inference integration layers for real-time and batch prediction workloads.
• Experience integrating and operationalising LLM APIs and AI services within production applications.
• Experience working with feature stores, vector databases, embedding based retrieval and modern ML architectures will be a strong advantage.
• Experience with experimentation platforms, A/B testing, and data-driven optimisation of consumer experiences.
• Expertise in backend engineering, API design, microservices, event-driven architectures, and scalable integration patterns using Java, Spring Boot and related frameworks.
• Experience with Redis or equivalent caching systems.
• Experience building event-driven systems using Kafka or equivalent technologies.
• Experience with SQL and NoSQL databases, database architecture and distributed data management.
• Strong understanding of data intensive systems, feature engineering concepts, and high throughput data processing patterns.
• Experience with observability, reliability engineering and performance optimisation.
• Proven ability to drive architectural decisions, influence technical direction and mentor engineers.
• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.
• Experience in eCommerce, retail, or consumer digital products is strongly preferred.

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Senior Software Engineer (Full Stack), you will design, build, and maintain production-grade backend services and web applications that power personalisation and recommendation capabilities. You will work closely with Tech Leads, AI/ML Engineers, Product Owners, and Data Engineering teams to deliver reliable, scalable, and low-latency services.

What you will do:

• Develop production-grade APIs and service layers that expose personalisation and recommendations to consuming applications and digital experience layers.
• Build and evolve web-based applications and user experiences.
• Build model-serving and inference integration layers that support real-time and batch recommendation patterns.
• Implement reliable, scalable, and low-latency services with strong focus on resiliency, observability, and performance.
• Work with caching, event-driven processing and distributed systems patterns to support high-volume consumer use cases.
• Collaborate with Tech Leads, AI/ML Engineers, Data Engineering and Product teams to deliver roadmap commitments.
• Drive technical design discussions and contribute to architecture decisions within the team.
• Ensure applications and services are production-ready through effective observability, monitoring, performance optimisation, reliability engineering, and operational readiness practices.
• Mentor junior engineers, perform code reviews and help establish engineering standards and best practices.
• Utilise AI-assisted engineering tools to accelerate development and strengthen code quality.

• 7+ years of experience designing and building scalable, resilient, and maintainable microservices and web applications in modern cloud environments.
• Strong hands-on experience with Java and Spring Boot for building production backend services.
• Frontend development experience with React framework strongly preferred.
• Strong understanding of system design and distributed architecture.
• Solid understanding of distributed systems fundamentals including concurrency, asynchronous processing, idempotency, exception handling and circuit breakers.
• Strong data structures and algorithms foundation with experience applying them to real-world use cases.
• Experience with event-driven architecture using Kafka or similar technologies.
• Experience with SQL/No-SQL databases with understanding of database architecture and distributed data management.
• Experience integrating LLM APIs into production applications will be a strong advantage.
• Understanding of embedding-based similarity search and vector databases is an advantage.
• Strong ability to mentor engineers, review designs, and drive sound technical decisions.
• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.
• Experience in eCommerce, retail, or consumer digital products is preferred.

About the Organisation & Role:

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Senior Quality Engineer, you will own quality strategy, test automation and test execution for personalisation and recommendation capabilities. You will work closely with Software Engineers, Tech Leads, Product Owners and Data Engineering teams to embed quality throughout the development lifecycle. Your focus will be building scalable automation, validating AI powered consumer experiences, improving engineering quality and enabling fast, reliable releases.

What you will do:

• Define and drive quality strategy & standards for personalisation, recommendation, experimentation, and consumer intelligence capabilities.
• Design, build and maintain automated test frameworks covering API, integration, contract, functional and E2E testing.
• Embed quality throughout the software development lifecycle by partnering closely with Software Engineers, Tech Leads, Product Owners and Data Engineering teams.
• Validate recommendation outputs, personalisation rules, consumer segmentation, experimentation journeys through automated & manual test suite.
• Establish test data, test environments and quality validation approaches for personalised consumer journeys.
• Drive shift-left quality practices through automation, quality gates, CI/CD integration and risk based testing.
• Ensure quality and consistency across browsers, devices, and digital consumer journeys.
• Leverage AI-assisted quality engineering practices to improve test coverage, regression efficiency, defect detection and engineering productivity.
• Define quality metrics, test coverage goals and continuous improvement initiatives across the team.
• Coach engineers on test automation, quality practices and continuous improvement.

•  7+ years of experience in Quality Engineering, Test Strategy and Test Automation.
• Strong experience designing and scaling automation frameworks for modern digital platforms.
• Hands-on experience with Playwright, Cypress, Appium, Selenium or equivalent automation frameworks.
• Strong experience in API, integration, contract, E2E, regression and release validation testing.
• Experience building automated quality pipelines integrated with CI/CD processes.
• Experience validating personalisation, recommendations and experimentation platforms.
• Experience with test data management, consumer segmentation and data quality validation.
• Strong understanding of APIs, microservices, event-driven architectures and distributed systems.
• Experience validating recommendation outputs, business rules and consumer-facing experiences.
• Experience with observability setup for quality engineering and production quality analytics preferred.
• Strong collaboration and communication skills with the ability to influence engineering quality across multiple teams.
• Experience using coding agents, AI-assisted testing tools or LLMs to improve testing productivity and quality outcomes.
• Experience in eCommerce, retail, consumer digital products, personalisation or recommendation platforms is strongly preferred.

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Lead Engineer, you will provide technical leadership for the team building production grade backend services for the membership and loyalty capabilities. You will own technical architecture, engineering standards and key technology decisions, ensuring solutions are scalable, reliable, and resilient. Working closely with the Engineering Manager, Product Owners, and Data Engineering teams, you will deliver low latency services that support real-time consumer experiences. You will champion engineering best practices, code quality, observability, and continuous improvement across the team.

What you will do:

• Lead the design and development of membership and loyalty capabilities leveraging Antavo platform.
• Own technical architecture, engineering standards, and key technology decisions across the core capabilities of Antavo platform, extensions and integrations.
• Design and build scalable, low latency APIs, event-driven services, and integration layers that support real-time and batch use cases.
• Integrate LLM APIs and AI services to enable intelligent consumer experiences and business capabilities.
• Integrate with other commerce platform applications (SFCC, Fluent Commerce) for membership and loyalty updates.
• Ensure solutions are secure, observable, reliable, and resilient through strong engineering practices.
• Drive engineering excellence through architecture reviews, code reviews, technical mentorship, and continuous improvement.
• Optimise performance, scalability, reliability, and operational efficiency through automation and proactive improvements.
• Leverage AI-assisted engineering practices and tools to improve engineering productivity, code quality, and delivery effectiveness.
• Provide technical leadership across teams.

• 10+ years of experience designing and building large scale distributed backend systems on cloud-native platforms.
• 3+ years of experience leading a technical capability, project or engineering team.
• Hands-on experience building and operating loyalty and membership capabilities in products like Antavo.
• Strong understanding microservice based architecture and experience in building microservices in eCommerce domain.
• Expertise in backend engineering, API design, microservices, event-driven architectures, and scalable integration patterns using Java, Spring Boot and related frameworks.
• Experience with Redis or equivalent caching systems.
• Experience in event based streaming platforms like Kafka
• Experience with SQL and NoSQL databases, database architecture and distributed data management.
• Experience with observability, reliability engineering and performance optimisation.
• Proven ability to drive architectural decisions, influence technical direction and mentor engineers.
• Experience using coding agents, LLMs or AI-assisted engineering tools to improve software delivery and developer productivity.
• Experience in eCommerce, retail, or consumer digital products is strongly preferred.

Provide the highest levels of service to PUMA customers within a Retail Store to achieve or exceed sales, KPIs, and profitability goals to position PUMA to be the Fastest Sports Brand in the world.

•    Accountable for ensuring individual performance consistently achieves or exceeds sales, KPIs and profitability goals through the effective servicing of customers.
•    Provide consistently high standards of customer experience within the Store in accordance with PUMA’s Brand Values and service standards.
•    Successfully complete all training programs (required per the Role), both Domestic and Global to drive results within the store. 
•    Attend and participate in Loss Prevention education, training and awareness programs.
•    Responsible for Loss Prevention and Operational compliance within store.
•    Communicate merchandise opportunities to Store Management team.
•    Participate in new store openings and/or store closings; travel may be required.
•    Responsible for execution and processing of both incoming and outgoing merchandise.
•    Accountable for ensuring execution and maintenance of all Visual guideline as well as guaranteeing the visual presentation of the Store always meets or exceeds PUMA standards.
•    Maintain physical condition of Store according to relevant guidelines and communicate maintenance needs to Store Management in a timely manner. 
•    Required to comply with all Policies & Procedures, operational core competencies and key accountabilities.
•    Abide by all requirements necessary to maintain a safe and compliant working and shopping environment; required to report all instances when this is not achieved to a member of the management team.
•    Required to work non-traditional hours; weekends, evenings, holidays; overtime may be required in this position.