Digital Marketing

Required Skills: End-to-End Product Design Expertise, User Research & Usability Testing, Prototyping & Interaction Design, Design Systems & UI Standards, Tool Proficiency (Figma, XD, etc.)

Review Criteria

4+ years of experience in Product Design / UI/UX Design roles.

Formal education in Design (B.Des/ M.Des/ equivalent) from reputed institutes.

Proven experience working in product-based companies or fast-growing startups.

Strong portfolio showcasing product design work across web and mobile platforms. (Mandatory to share)

Expertise in tools like Figma, Sketch, Adobe XD, Illustrator, and Prototyping tools.

Strong understanding of design systems, usability principles, and interaction design.

Experience designing high-traffic consumer products is a strong plus.

Role Overview

We are looking for a Senior Product Designer to shape intuitive, engaging, and scalable user experiences across company’s digital products. You will work closely with Product Managers and Engineering teams to design seamless journeys for millions of users, turning complex user needs into simple, delightful product experiences.

This role is ideal for someone who thrives in startup-style environments, enjoys solving real user problems, and can push design thinking across the company.

Key Responsibilities

Own end-to-end product design for mobile and web experiences including concepting, wireframing, prototyping, and high-fidelity UI designs.

Translate product strategy and user requirements into powerful design solutions.

Conduct user research, usability testing, and iterate designs based on real user feedback.

Collaborate with product managers to define product flows, user journeys, and design experiments.

Work closely with engineers to ensure accurate and high-quality implementation of designs.

Build and maintain scalable design systems and UI standards.

Continuously improve UX through data-backed design decisions and A/B testing.

Key Skills

UI/UX Design

Interaction Design

Design Thinking

Prototyping & Wireframing

Design Systems

User Research & Usability Testing

Review Criteria:

Mandatory:

• Strong Ad Operations Profiles
• 1+ years of hands-on experience in Digital Ad Operations or Programmatic Advertising.
• Practical exposure to DSPs and DV360 for campaign setup, execution, optimization, and reporting.
• Strong understanding of LinkedIn, Meta, and Facebook Ads platforms; ability to coordinate campaign execution per media team plan.
• Proficiency in DoubleClick Campaign Manager (DCM) or similar 3rd-party ad servers for trafficking and tag management.
• Ability to perform QA testing of creative assets, troubleshoot delivery issues, and ensure tracking accuracy.
• Skilled in Excel-based reporting, reconciliation, and campaign data analysis.
• Must have worked in a digital media agency or AdTech environment executing live campaigns.

Preferred:

• Exposure to programmatic buying, audience targeting, and optimization strategies.

Role & Responsibilities:

We are looking for ad operations who will be responsible for the success of the advertising campaigns. This includes accurate building, testing and assignment of advertisements using various ad technologies. This person will also assist in providing support and coverage to global advertising teams as well as ensuring accuracy and security of all ad units.

Key Responsibilities-

Campaign Set-Up and Execution:

• Manage the set-up and execution of advertising campaigns, including generating and testing ad tags for campaign launches.
• Ensure seamless campaign deployment by completing quality assurance and testing of creative assets to verify proper functionality across various browsers.

Technical Adherence and Issue Resolution:

• Ensure that ad creative adheres to technical specifications and promptly troubleshoot any creative issues that may impact implementation, tracking, or reporting.
• Collaborate with internal stakeholders to guarantee the proper set-up and deployment of campaigns, fostering effective communication and alignment.

Collaboration and Reporting:

• Work closely with the Customer Success (CS) team to ensure accurate reporting, optimization, and fulfilment of campaign delivery, facilitating smooth communication and collaboration between teams.
• Maintain meticulous records of creative assets and internal documents related to proposals and campaign execution, ensuring organizational transparency and accountability.

Reconciliation and Optimization:

• Perform reconciliations between media plans and third-party ad delivery platforms to ensure alignment and accuracy.
• Identify opportunities to implement solutions that enhance effectiveness and efficiency in ad operations processes, driving continuous improvement.

Quality Assurance and Testing:

• Conduct thorough quality assurance and testing of creative assets to ensure proper functionality across various browsers and platforms.

Stakeholder Communication:

• Communicate effectively with internal stakeholders to ensure the proper set-up and deployment of campaigns, maintaining alignment with project timelines and objectives.

Ideal Candidate:

• Any bachelor’s degree, Postgraduate or equivalent.
• Minimum Experience 1+ years in the same domain preferably in digital trafficking at a media agency
• Deep understanding of DoubleClick Campaign Manager (experience with other 3rd party ad servers a plus).
• Comfort with Microsoft Excel and ability to consolidate information and work with multiple data points.
• Working on platform like DV360 & DSP mandatory.

Perks, Benefits and Work Culture:

• Competitive Salary Package
• Generous Leave Policy
• Flexible Working Hours
• Performance-Based Bonuses
• Health Care Benefits

Key Responsibilities 

• Design, develop, and deploy scalable .NET applications and microservices supporting core 

retail operations.

• Build and maintain robust integrations using Kafka, REST APIs, and middleware 

components.

• Work closely with product, POS, merchandising, warehousing, and ERP teams to translate 

business needs into reliable technical solutions.

• Optimize system performance and ensure integrations remain stable across high-volume 

retail cycles.

• Implement best practices in coding, testing, CI/CD, and cloud-native architectures.

• Troubleshoot production issues with speed and a cool head—especially when it impacts 

stores.

• Document technical designs, data flows, and integration contracts clearly.

Required Skills & Experience 

• 6–8+ years of hands-on full stack development using .NET Core / .NET 6+, C#, and 

modern frontend frameworks (React/Angular preferred).

• Strong expertise in Kafka (producers, consumers, topics, partitions, schema registry).

• Solid experience designing RESTful APIs and integrating with enterprise systems.

• Prior experience in retail technology is non-negotiable—POS, inventory, warehousing, or 

ERP exposure is essential.

• Strong knowledge of relational databases (SQL Server, PostgreSQL) and caching 

frameworks.

• Experience building scalable, distributed systems that can handle peak loads.

• Familiarity with containerization (Docker/Kubernetes) is a plus.

• Excellent problem-solving skills and the ability to work independently on a contract basis.

Nice to Have 

• Experience with message brokers beyond Kafka (e.g., RabbitMQ)

• Exposure to cloud platforms (Azure/AWS/GCP)

• Knowledge of CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)

• Understanding of retail data models and omnichannel workflows

Good Communication skills

Logistics & supply chain undersating

invintory management, Data management, MS Excel.

Hybris Professionals are responsible for e-commerce application development while providing expertise in the full software development lifecycle, from concept and design to testing.

• Setting expectations and features priorities throughout development life cycle.
• Writing well designed efficient code.
• Determining and implementing design methodologies and tool sets.
• Completing application development by coordinating requirements, schedules and activities.
• Envisioning the overall solution for defined functional and non-functional requirements; and being able to define technologies, patterns and frameworks to materialize it.
• Designing and developing the framework of the system and being able to explain choices made. 
• Writing and reviewing design document explaining overall architecture, framework and high-level design of the application.
• Troubleshooting problems across multiple environments and operating platforms.
• Creating technical documentation and assistance tools for customers.
• Researching and learning new technologies to update knowledge.
• Participating in educational opportunities/trainings and reading professional publications.
• Contributing to team meetings.
• Enhancing organization's reputation by accepting ownership for accomplishing of tasks.
• Exploring opportunities to add value to job accomplishments.

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology