CommerceIQ

Responsibilities Apply your strong engineering skills to the development of a flexible and highly scalable data gathering platform. Produce high-quality code (with tests) in alignment with the Team's coding standards and design practices. Break down tasks and Time estimation. Own your changes from development to production and beyond. Participate in code reviews. Mentor and support junior members of the squad; assist with code reviews and other knowledge-sharing activities. Play an active role in the growth and development of the Gather Platform; explore and champion new techniques, technologies, and tools. You have opportunities to solve high-scale issues. You have the opportunity to learn and grow by working with our experienced engineers. Requirements Significant experience developing systems and products using Java/TypeScript/JavaScript. Solid understanding of web technologies. Experience in building platforms. Understanding of cloud-based technologies and development processes. Familiarity with SDLC and agile methodologies. Strong interpersonal and communication skills. A passion for delivering quality software. A pragmatic approach and a desire to learn new things. Good troubleshooting skills. Good LLD and HLD skills. Knowledge of web data gathering and its challenges. Experience in building services in the cloud, especially with Google Cloud Platform or AWS. Experience in containerisation using Docker and Kubernetes. Experience in building infrastructure as code, especially with Terraform. Data analysis and SQL skills. This job was posted by Rashmi Yadahalli from CommerceIQ. Show more Show less

Company Overview CommerceIQ's AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world's largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world's leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. Learn more at commerceiq.ai. Responsibilities: Implement features or components with excellent quality, following clear directions and guidance. Continuously explore ways to improve the component, enabling impactful features for customers. Estimate tasks, track progress, and communicate risks effectively. Work with development teams to identify and build reusable platforms or libraries through iterative practices. Ensure features include monitoring, metric dashboards, runbooks, logging, escalation processes, and alerts. Contribute to enhancing operational practices, tools, and processes within CommerceIQ. Actively engage in design discussions, code reviews, and resolving technical challenges. Take part in technical forums and consistently learn new and relevant technologies. Qualifications: Strong command of a frontend stack (Javascript/HTML/CSS). Knowledgeable in modern web frameworks (React, Angular, Vue, etc). Experience using statically typed languages (Typescript etc). Familiarity with principles of good user experience. An engineering-focused undergraduate degree or equivalent industry experience. 1-3 years of software engineering experience. Demonstrated experience collaborating with other engineers and non-tech stakeholders, both to meet short-term goals and to create long-term partnerships. Willingness to transition into a full-stack developer role over time, gaining proficiency in both frontend and backend development. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law. Show more Show less

Requirements Bachelor's degree with a technical discipline, MBA preferred. 3-5 years total experience, 1+ years of product management in software platforms or SaaS solutions. Ability to understand and discuss technical concepts, manage tradeoffs, and evaluate opportunistic new ideas with internal and external partners. Customer obsession-proven ability to develop innovative product solutions that are grounded in a deep understanding of customer needs. Experience with end-to-end product delivery, overseeing roadmap strategy and execution. Experience engaging and influencing both peers and senior executives across various functional groups such as engineering, sales, business, etc. Strong analytical and quantitative skills. Proven ability to use a data-driven approach to back up assumptions and drive actions. Preferred Qualities Or Experience Track record of having built successful enterprise analytics, Machine Learning, or eCommerce products. Experience with digital advertising systems. Experience with eCommerce platforms like Amazon/Flipkart will be a huge plus. This job was posted by Sadhana S from CommerceIQ. Show more Show less

Company Overview CommerceIQ s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. Learn more at commerceiq.ai . Responsibilities: Implement features or components with excellent quality, following clear directions and guidance. Continuously explore ways to improve the component, enabling impactful features for customers. Estimate tasks, track progress, and communicate risks effectively. Work with development teams to identify and build reusable platforms or libraries through iterative practices. Ensure features include monitoring, metric dashboards, runbooks, logging, escalation processes, and alerts. Contribute to enhancing operational practices, tools, and processes within CommerceIQ. Actively engage in design discussions, code reviews, and resolving technical challenges. Take part in technical forums and consistently learn new and relevant technologies. Qualifications: Strong command of a frontend stack (Javascript/HTML/CSS). Knowledgeable in modern web frameworks (React, Angular, Vue, etc). Experience using statically typed languages (Typescript etc). Familiarity with principles of good user experience. An engineering-focused undergraduate degree or equivalent industry experience. 1-3 years of software engineering experience. Demonstrated experience collaborating with other engineers and non-tech stakeholders, both to meet short-term goals and to create long-term partnerships. Willingness to transition into a full-stack developer role over time, gaining proficiency in both frontend and backend development.

The Role: Our Platform Management engineers oversee the health, scalability and security of our cloud infrastructure. They take hands-on responsibility for maintaining and evolving the systems, services and tools shared across the engineering teams. In addition, they use their in-depth understanding of cloud development to advise, coach and assist the engineering teams as they evolve to respond to the ever-growing needs of our customers. We re looking for an experienced Dev Ops Engineer to join us and help us maintain a healthy, scalable platform that will meet the ever-increasing demands on our rapidly growing platform. Responsibilities: DevOps Concepts and Execution: Comprehensive knowledge of DevOps methodologies, core principles, and best practices, encompassing continuous integration, continuous delivery, and automation. Cloud Service Providers: Skilled in using cloud platforms such as AWS, GCP, among others, including services like compute, storage, networking, and serverless architectures. Containerization and Orchestration Tools: Proficient in container technologies like Docker and orchestration platforms such as Kubernetes for effective deployment, scaling, and application management. Infrastructure Automation (IaC): Experienced with infrastructure as code tools like Terraform, CloudFormation, or Ansible to automate the setup and management of infrastructure. CI/CD Pipeline Management: Capable of establishing and maintaining continuous integration and continuous delivery pipelines using tools such as Jenkins, GitLab CI/CD, CircleCI, and others. Scripting and Development Languages: Strong skills in scripting languages like Bash, Python, or Groovy, and proficient in programming languages relevant to DevOps, such as Java, Ruby, and Python. Monitoring and Logging Solutions: Knowledgeable about monitoring tools like Prometheus, Grafana, the ELK stack, and skilled in setting up efficient monitoring and alerting systems. Security and Compliance Practices: Understanding of security best practices, identity and access management (IAM), and the ability to secure applications and infrastructure effectively. Networking Knowledge: Familiar with networking basics, including TCP/IP, DNS, load balancing, and firewalls. Collaboration and Communication Tools: Proficient in using tools like Slack, JIRA, Confluence, or similar platforms to enhance team communication and coordination. Problem-Solving and Troubleshooting: Capable of analyzing complex technical issues, diagnosing problems, and implementing effective solutions. Required Skills: At least 2+ years of technology experience. 2+ years of working experience in Python, Kubernetes, and AWS/GCP. Hands-on experience on managing build tools like Jenkins, Bitbucket Pipelines, GitHub Actions. Implement solutions to improve performance and scalability by identifying inefficiencies in developer workflows, tools, and implement solutions to improve performance and scalability. Hands-on experience using IaC tools like Terraform/Terragrunt. Experience working on Linux based infrastructure Excellent understanding of Ruby, Python, and Java. Expert technical troubleshooting skills and/or the ability to implement processes and controls to find root cause. Proven ability to learn new technologies quickly. The ideal candidate should have handled operations, deployment, and security of multiple SaaS/B2C products Hands-on in log collection designs like EFK and metric collection tools like a new relic, Prometheus/Grafana or SignalFx Hands-on in the design, creation, and consumption of RESTful API, and Microservice architectures on public clouds preferably AWS/GCP. Excellent analytical, communication, and coding skills are a must.

Company Overview CommerceIQ's AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world's largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world's leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. Learn more at commerceiq.ai. The Role: Our Platform Management engineers oversee the health, scalability and security of our cloud infrastructure. They take hands-on responsibility for maintaining and evolving the systems, services and tools shared across the engineering teams. In addition, they use their in-depth understanding of cloud development to advise, coach and assist the engineering teams as they evolve to respond to the ever-growing needs of our customers. We're looking for an experienced Dev Ops Engineer to join us and help us maintain a healthy, scalable platform that will meet the ever-increasing demands on our rapidly growing platform. Responsibilities: DevOps Concepts and Execution: Comprehensive knowledge of DevOps methodologies, core principles, and best practices, encompassing continuous integration, continuous delivery, and automation. Cloud Service Providers: Skilled in using cloud platforms such as AWS, GCP, among others, including services like compute, storage, networking, and serverless architectures. Containerization and Orchestration Tools: Proficient in container technologies like Docker and orchestration platforms such as Kubernetes for effective deployment, scaling, and application management. Infrastructure Automation (IaC): Experienced with infrastructure as code tools like Terraform, CloudFormation, or Ansible to automate the setup and management of infrastructure. CI/CD Pipeline Management: Capable of establishing and maintaining continuous integration and continuous delivery pipelines using tools such as Jenkins, GitLab CI/CD, CircleCI, and others. Scripting and Development Languages: Strong skills in scripting languages like Bash, Python, or Groovy, and proficient in programming languages relevant to DevOps, such as Java, Ruby, and Python. Monitoring and Logging Solutions: Knowledgeable about monitoring tools like Prometheus, Grafana, the ELK stack, and skilled in setting up efficient monitoring and alerting systems. Security and Compliance Practices: Understanding of security best practices, identity and access management (IAM), and the ability to secure applications and infrastructure effectively. Networking Knowledge: Familiar with networking basics, including TCP/IP, DNS, load balancing, and firewalls. Collaboration and Communication Tools: Proficient in using tools like Slack, JIRA, Confluence, or similar platforms to enhance team communication and coordination. Problem-Solving and Troubleshooting: Capable of analyzing complex technical issues, diagnosing problems, and implementing effective solutions. Required Skills: At least 2+ years of technology experience. 2+ years of working experience in Python, Kubernetes, and AWS/GCP. Hands-on experience on managing build tools like Jenkins, Bitbucket Pipelines, GitHub Actions. Implement solutions to improve performance and scalability by identifying inefficiencies in developer workflows, tools, and implement solutions to improve performance and scalability. Hands-on experience using IaC tools like Terraform/Terragrunt. Experience working on Linux based infrastructure Excellent understanding of Ruby, Python, and Java. Expert technical troubleshooting skills and/or the ability to implement processes and controls to find root cause. Proven ability to learn new technologies quickly. The ideal candidate should have handled operations, deployment, and security of multiple SaaS/B2C products Hands-on in log collection designs like EFK and metric collection tools like a new relic, Prometheus/Grafana or SignalFx Hands-on in the design, creation, and consumption of RESTful API, and Microservice architectures on public clouds preferably AWS/GCP. Excellent analytical, communication, and coding skills are a must. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law. Show more Show less

Company Overview CommerceIQ's AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world's largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world's leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. Learn more at commerceiq.ai. Roles and Responsibilities Manage the performance and career development of a team of UI engineers, owning significant parts of CommerceIQ's UI applications that require strategic design, architecture, and high-quality implementation. Lead the development of next-generation web applications, ensuring they are efficient, reusable, and focused on customer delight, while guiding the team on technical execution. Oversee the exploration and design of dynamic, compelling consumer experiences, setting standards for user interface quality and innovation. Guide the team in architecting, developing, and testing highly interactive front-end web applications and reusable components using modern web technologies and frameworks (e.g., React, Vue.js). Identify, define, and communicate best practices for UI application architecture, ensuring scalability and maintainability. Participate with senior management in developing a long-term technology roadmap, emphasizing intuitive and high-quality UI solutions. Be a role model and professional coach for UI engineers, fostering a culture of action, innovation, and high standards in user experience and code quality. Work with peers across teams to support and leverage a shared technical stack, ensuring seamless integration of UI components with backend systems. Manage teams to scale distributed UI applications, make architectural trade-offs applying appropriate design patterns, oversee code reviews, and ensure delivery with speed and quality. Ensure the team produces high-quality UI software that is unit tested, code reviewed, and checked in regularly for continuous integration. Collaborate with Product Managers, Designers, and Backend developers to align UI solutions with business needs, prioritizing and executing based on company goals. Act as the custodian of UI development processes and SDLC best practices, ensuring the team adheres to high standards in debugging, performance optimization, and testing. Own hiring goals for the UI team, recruiting top talent to build a high-performing team. Take delivery and technical ownership of all UI-related roadmap and technical items, ensuring alignment with CommerceIQ's innovation culture. Qualifications Strong expertise in a frontend stack (JavaScript/HTML/CSS) and modern web frameworks (React, Vue.js, Angular, etc.). Proficient in statically typed languages (TypeScript) and principles of good user experience, ensuring intuitive and visually appealing interfaces. In-depth knowledge of JavaScript, functional programming, and object-oriented JavaScript (OOJS). Familiarity with HTML, CSS, and CSS post-processors, with an ability to guide the team toward pixel-perfect implementations across major browsers. Experience overseeing debugging and web application performance optimization, ensuring high-performing UI components. 8+ years of relevant engineering work experience, with at least 5+ years focused on UI design, architecture, and coding in JavaScript or equivalent frontend technologies. 3+ years of experience in architecting and delivering complex user interfaces, with a track record of guiding teams to ship scalable UI projects. 2+ years of management experience in building small to medium-sized UI teams, demonstrating growth and successful deliveries. Track record in partnering with recruiting to hire and build exceptional UI engineering teams. Actively coached, mentored, and grew team members in their careers, fostering a culture of learning and excellence. Good understanding and experience in practicing SDLC best practices, particularly in UI development and agile methodologies. Preferred Qualifications 5+ years of experience in building and working with production-grade UI systems. Shipped several large-scale UI projects with dependencies across multiple teams. Built and delivered on successful cross-functional partnerships to enhance UI integration. Prior knowledge of ES6, Node.js, npm, and Webpack, with experience guiding teams in their use. Familiarity with testing frameworks like Jasmine, Mocha, Cypress, or Jest, ensuring robust testing practices. Been actively involved in the creation and execution of technical strategy and roadmap for UI components. Strong believer in innovation culture and engineering-driven UI ideas, with a passion for elegant, reusable, and highly performant UI code. Experience in release management and agile methodologies for UI development. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law. Show more Show less

Responsibilities Understand the business problem and provide data science solutions. Carry out proof of concept for data science problems. Collaborate with product and engineering teams to build data science solutions (end-to-end) Do exploratory data analysis to support existing and future data science projects. Build dashboards to monitor the data science project's performance and communicate the metrics to the business team. Requirements Work Experience: 3+ Years of data science experience Machine Learning Knowledge: Well-versed with machine learning concepts and have built ML projects end-to-end. Understanding of mathematical concepts behind ML models. Statistical Data Analysis: Proficiency in applying statistical techniques to analyze data and generate useful business insights. Data Visualization: Skill in creating meaningful visualizations of complex data sets using tools like Tableau, PowerBI, or Python libraries (e. g., Matplotlib, Seaborn). Model Evaluation and Tuning: Knowledge of techniques for evaluating and improving the performance of machine learning models. Coding Skills: Strong coding skills in Python. Able to write modular and reusable code. Good to have experience in using LLMs for data science solutions This job was posted by Rashmi Yadahalli from CommerceIQ.

You will be responsible for managing the performance and career development of a team of UI engineers at CommerceIQ. Your role will involve owning significant parts of CommerceIQ's UI applications, requiring strategic design, architecture, and high-quality implementation. You will lead the development of next-generation web applications, ensuring they are efficient, reusable, and focused on customer delight. Guiding the team on technical execution will be a key aspect of your job, as well as overseeing the exploration and design of dynamic, compelling consumer experiences to set standards for user interface quality and innovation. Additionally, you will be guiding the team in architecting, developing, and testing highly interactive front-end web applications and reusable components using modern web technologies and frameworks such as React and Vue.js. Identifying, defining, and communicating best practices for UI application architecture to ensure scalability and maintainability will be crucial. You will participate in developing a long-term technology roadmap with senior management, emphasizing intuitive and high-quality UI solutions while fostering a culture of action, innovation, and high standards in user experience and code quality as a role model and professional coach for UI engineers. Collaboration with peers across teams to support and leverage a shared technical stack, ensuring seamless integration of UI components with backend systems, will be essential. You will manage teams to scale distributed UI applications, make architectural trade-offs applying appropriate design patterns, oversee code reviews, and ensure delivery with speed and quality. Ensuring the team produces high-quality UI software that is unit tested, code reviewed, and checked in regularly for continuous integration is also a key responsibility. Furthermore, you will collaborate with product managers, designers, and backend developers to align UI solutions with business needs, prioritizing and executing based on company goals. Acting as the custodian of UI development processes and SDLC best practices, ensuring the team adheres to high standards in debugging, performance optimization, and testing, will be part of your role. You will also own hiring goals for the UI team, recruiting top talent to build a high-performing team and take delivery and technical ownership of all UI-related roadmap and technical items to ensure alignment with CommerceIQ's innovation culture. Requirements for this role include strong expertise in a frontend stack, modern web frameworks, proficiency in statically typed languages, in-depth knowledge of JavaScript, familiarity with HTML, CSS, and CSS post-processors, and experience in overseeing debugging and web application performance optimization. You should have at least 8 years of relevant engineering work experience, with a focus on UI design, architecture, and coding, as well as experience in architecting and delivering complex user interfaces and managing small to medium-sized UI teams. Additionally, you should have a track record of partnering with recruiting to hire exceptional UI engineering teams, actively coaching and mentoring team members, and practicing SDLC best practices in UI development and agile methodologies. A strong believer in an innovation culture and engineering-driven UI ideas, you should have experience in release management and agile methodologies for UI development, as well as familiarity with ES6, Node.js, npm, Webpack, testing frameworks like Jasmine, Mocha, Cypress, or Jest, and the creation and execution of technical strategy and roadmap for UI components. Your passion for elegant, reusable, and highly performant UI code will be an asset in this role.,

The Data Platform Team is responsible for building critical platforms that abstract lower-level complexities, enabling engineers to focus solely on business logic. Platforms like the Events Choreography Platform and the Configurable Ingestion Platform have a significant impact across multiple teams, therefore, we maintain high standards for stability, availability, and scalability. As a member of the Data Platform Team, your responsibilities will include defining and driving technical strategy in collaboration with managers to prioritize and shape the team's roadmap. You will lead high-impact projects, handling ambiguous problem statements and delivering scalable solutions. Owning system design and architecture will be crucial to ensure reliability, observability, and adherence to best practices. Additionally, mentoring and leading engineers to foster growth, technical excellence, and high-quality execution will be part of your role. You will bridge cross-functional gaps by coordinating between stakeholders to align on technical decisions. Regularly reviewing designs, documents, and PRs to maintain high code and system quality is also expected. Developing a deep understanding of the platforms to ensure comprehensive ownership and being willing to get hands-on with coding and deep dives are essential for success in this role. To be considered for this position, you should have 7-9 years of experience in software engineering, with at least 4 years of experience in leading small to medium-sized teams. Expertise in scalable, distributed systems with strong problem-solving skills is required. Hands-on experience with observability, developer experience, and performance optimizations is highly valued. A strong ability to navigate ambiguity, break down complex problems, and drive solutions is crucial. You should measure success by the impact you create rather than the number of lines of code you ship. Being proactive and taking charge to become a human orchestrator, connecting dots between different stakeholders and team members when required, is important. We are looking for individuals with a high level of independence who can function both independently and collaboratively. Experience with data-intensive applications (ETL/ELT) is a plus. If you are passionate about building critical platforms, driving technical strategy, leading high-impact projects, and fostering a culture of technical excellence, we encourage you to apply for this position at CommerceIQ.,

As a UI Engineering Manager at CommerceIQ, you will be responsible for leading a team of UI engineers in the development of next-generation web applications. Your role will involve managing the performance and career development of the team, owning strategic design and architecture decisions, and ensuring high-quality implementation of CommerceIQ's UI applications. You will guide the team in architecting, developing, and testing highly interactive front-end web applications and reusable components using modern web technologies and frameworks such as React and Vue.js. Your expertise in frontend stack technologies like JavaScript, HTML, and CSS, along with proficiency in TypeScript, will be crucial in ensuring intuitive and visually appealing interfaces that enhance customer experience. Collaboration with Product Managers, Designers, and Backend developers will be essential to align UI solutions with business needs and company goals. You will play a key role in developing a long-term technology roadmap, emphasizing high-quality UI solutions that drive customer delight and innovation. As a mentor and coach, you will foster a culture of action, innovation, and high standards in user experience and code quality among the UI engineering team. Your experience in overseeing debugging, performance optimization, and adherence to SDLC best practices will be instrumental in ensuring the team delivers high-quality UI software that is unit tested and code reviewed regularly for continuous integration. In addition to managing the team and guiding technical execution, you will also be responsible for owning hiring goals for the UI team, recruiting top talent to build a high-performing team. Your track record in building and delivering complex user interfaces, along with experience in architecting scalable UI projects and managing small to medium-sized UI teams, will be key in driving successful deliveries and growth. If you are a strong believer in an innovation culture, passionate about elegant, reusable, and highly performant UI code, and have a background in release management and agile methodologies for UI development, we encourage you to apply for this exciting opportunity at CommerceIQ.,

Key Responsibilities: You will be responsible for developing, testing, and releasing features within time and with high quality that will drive revenue and margin impact for top brands You will be designing your own features, keeping in mind the scale and high availability of the systems You will be working with the team and are expected to perform code reviews, conduct design discussions, and mentor other developers You will be the owner of your feature and work directly with product teams to drive customer impact You will be expected to participate in all phases of the software development cycle as part of a Scrum team Requirements: The ideal candidate will be an experienced Java developer with exceptional software system design, problem solving, and object-oriented coding skills Experience with distributed transaction-processing systems or asynchronous messaging technology is required Good understanding of system performance trade-offs, load balancing, and engineering for high availability Obsessed about building quality software and owning end-to-end responsibility for the developed features Understanding enterprise information systems, service oriented architectures, and operational data stores is a plus BS or MS in Computer Science/Engineering, Mathematics, Statistics, or a similar degree from a top tier institution

The Role: CommerceIQ is looking for a results-driven Business Development Representative to drive prospecting and lead qualification into US/EU/UK markets. What Youll Do: Use prospecting strategies to lead initial outreach to prospects (cold calling, email sequences, social selling, etc.) Qualify inbound leads from marketing campaigns as sales opportunities Build multiple touch points within each prospect account (Account Based Sales & Marketing) Determine prospects needs and interest in CommerceIQ s services Clearly communicate CommerceIQ s value proposition Schedule discovery calls between prospects and a CommerceIQ Account Executive Report back to the Director of ABM against KPIs What Youll Bring: 2+ years experience in a business development/sales role Experience with multiple sales techniques (including cold calling, email sequencing & social selling) HubSpot & Salesforce experience Strong written and verbal communication skills Strong listening skills Results-driven Adaptable to a fast-paced working environment Highly collaborative B2B Software as a Service (SaaS) experience preferred but not required

Responsible for contributing to all phases of the development lifecycle. Responsible for setting up and implementing of test automation strategy from a Functional and non-functional perspective for one module or multiple modules that you work on. Responsible for finding innovative ways to optimize the test strategy for maximizing ROI from areas that are undertaken for automation. Responsible for the addition of new capabilities and features in the automation framework, which is used by the entire QA team for test automation. You are also responsible for managing and maintaining test coverage through periodic reports to engineering and stakeholders. This is an expert role and demands a complete hands-on contribution to single or multiple projects simultaneously. Working directly with developers and product managers to conceptualise, build, test, and realise products/features. You will be a key member of the hiring panel across CIQ. You will be the gatekeeper of tech decisions of the team and contribute heavily to the tech strategy, working closely with product and design teams. Requirements: 1 - 2 Years of experience in software testing. Should have a solid understanding of testing principles, testing types, and methodologies. Fluency in one or more of these- JavaScript, Java, or Python. Solid knowledge of SQL. Should be able to design, develop, and implement the test automation framework from scratch. Experience with distributed transaction-processing systems or asynchronous messaging technology is required. Experience in Database Testing. Understand functional/technical specifications and analyze server logs. Hands-on experience in any one of the UI automation tools. Cypress is preferred. Hands-on experience in web service testing and API automation using Rest Assured/Postman. Hands-on experience in performance testing using tools like Jmeter. Exposure to Amazon AWS or similar cloud providers. Exposure to Linux commands and shell scripts. Hands-on experience in CI-CD tools like Jenkins. Excellent communication, collaboration, reporting, analytical, problem-solving skills and troubleshooting skills.

Company Overview CommerceIQ s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. Learn more at commerceiq.ai . We are seeking a highly skilled and experienced Generative AI Engineer to join our innovative team, with a paramount focus on developing and rigorously evaluating sophisticated multi-agent AI systems. This role is crucial for designing, building, deploying, and ensuring the accuracy and reliability of cutting-edge generative AI solutions that leverage collaborative AI agents. The ideal candidate will possess a deep understanding of generative models, combined with robust MLOps practices, strong back-end engineering skills in microservices architectures on cloud platforms like AWS or GCP, and an absolute mastery of Python, Langgraph, and Langchain. Proven experience with evaluation methodologies, including working with evaluation datasets and measuring the accuracy of multi-agent systems using tools like Langsmith or other open-source alternatives, is a must-have. Key Responsibilities: Generative AI Development & Multi-Agent Systems: Design, develop, and implement advanced generative AI models (LLMs) for various applications, from ideation to production. Build, and deploy intelligent multi-agent AI systems, enabling collaborative behaviors and complex decision-making workflows. Utilize and extend frameworks like Langchain and Langgraph extensively for building sophisticated, multi-step AI applications, intelligent agents, and agentic workflows, with a strong focus on their evaluability. Fine-tune and adapt pre-trained generative models to specific business needs and datasets, often as components within agentic systems. Develop strategies for prompt engineering and RAG (Retrieval Augmented Generation) to enhance model performance and control, particularly in multi-agent contexts. Research and stay abreast of the latest advancements in generative AI, natural language processing, multi-agent systems, and autonomous AI. Multi-Agent System Evaluation & Accuracy: Design, develop, and execute comprehensive evaluation strategies for multi-agent systems, defining key performance indicators (KPIs) and success metrics. Create, manage, and utilize high-quality evaluation datasets to rigorously test the accuracy, coherence, consistency, and robustness of multi-agent system outputs. Implement and leverage tools like Langsmith or other open-source solutions (e.g., TruLens, Ragas, custom frameworks) to trace agent interactions, analyze trajectories, and measure the accuracy and effectiveness of multi-agent system behavior. Perform root cause analysis for evaluation failures and drive iterative improvements to agent design and system performance. Develop methods for assessing inter-agent communication efficiency, task allocation accuracy, and collaborative problem-solving success. MLOps & Deployment: Establish and implement robust MLOps pipelines for training, evaluating, deploying, monitoring, and managing generative AI models and multi-agent systems in production environments. Ensure model and agent system scalability, reliability, and performance in a production setting. Implement version control for models, data, and code. Monitor model drift, performance degradation, and data quality, implementing proactive solutions for both individual models and interconnected agents. Back-end Engineering (Microservices on AWS/GCP): Develop and maintain highly scalable and resilient microservices to integrate generative AI models and orchestrate multi-agent systems into larger applications. Design and implement APIs for model inference and agent interaction and coordination. Deploy and manage microservices on cloud platforms such as AWS or GCP, utilizing services like EC2, S3, Lambda, EKS/ECS, Sagemaker, GCP Compute Engine, GCS, GKE, Vertex AI, etc., with a focus on supporting agentic architectures. Implement best practices for security, logging, monitoring, and error handling in microservices, especially concerning inter-agent communication and system resilience Required Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 1-3 years of experience in software engineering with at least 1+ years focused on Machine Learning Engineering or Generative AI development. Demonstrable prior experience in multi-agent product development, including designing, implementing, and deploying systems with interacting AI agents. Mandatory experience in working with evaluation datasets, defining metrics, and assessing the accuracy and performance of multi-agent systems using tools like Langsmith or comparable open-source alternatives. Exceptional proficiency in Python and its ecosystem for machine learning (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Deep expertise with Langgraph and Langchain for building complex LLM applications, intelligent agents, and orchestrating multi-agent workflows. Solid understanding and practical experience with various generative AI models (LLMs) Proven experience with MLOps principles and tools (e.g., MLflow, Kubeflow, Data Version Control (DVC), CI/CD for ML), with an emphasis on agent system lifecycle management and continuous evaluation. Extensive experience designing, developing, and deploying microservices architectures on either AWS or GCP. Proficiency with containerization technologies (Docker) and orchestration (Kubernetes). Strong understanding of API design and development (RESTful, gRPC). Excellent problem-solving skills, with a focus on building robust, scalable, and maintainable solutions. Strong communication and collaboration skills. Preferred Qualifications: Experience with Apache Spark for large-scale data processing Experience with specific AWS services (e.g., Sagemaker, Lambda, EKS) or GCP services (e.g., Vertex AI, GKE, Cloud Functions) for deploying and managing agentic systems. Familiarity with other distributed computing frameworks. Contributions to open-source projects in the AI/ML space, especially those related to multi-agent systems or agent frameworks (e.g., AutoGen, CrewAI). Experience with real-time inference for generative models and real-time agent decision-making and evaluation. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.

We are seeking a highly skilled and experienced Senior Generative AI Engineer to join our innovative team, with a paramount focus on developing and rigorously evaluating sophisticated multi-agent AI systems. This role is crucial for designing, building, deploying, and ensuring the accuracy and reliability of cutting-edge generative AI solutions that leverage collaborative AI agents. The ideal candidate will possess a deep understanding of generative models, combined with robust MLOps practices, strong back-end engineering skills in microservices architectures on cloud platforms like AWS or GCP, and an absolute mastery of Python, Langgraph, and Langchain. Proven experience with evaluation methodologies, including working with evaluation datasets and measuring the accuracy of multi-agent systems using tools like Langsmith or other open-source alternatives, is a must-have. Key Responsibilities: Generative AI Development & Multi-Agent Systems: Design, develop, and implement advanced generative AI models (LLMs) for various applications, from ideation to production. Architect, build, and deploy intelligent multi-agent AI systems, enabling collaborative behaviors and complex decision-making workflows. Utilize and extend frameworks like Langchain and Langgraph extensively for building sophisticated, multi-step AI applications, intelligent agents, and agentic workflows, with a strong focus on their evaluability. Fine-tune and adapt pre-trained generative models to specific business needs and datasets, often as components within agentic systems. Develop strategies for prompt engineering and RAG (Retrieval Augmented Generation) to enhance model performance and control, particularly in multi-agent contexts. Research and stay abreast of the latest advancements in generative AI, natural language processing, multi-agent systems, and autonomous AI. Multi-Agent System Evaluation & Accuracy: Design, develop, and execute comprehensive evaluation strategies for multi-agent systems, defining key performance indicators (KPIs) and success metrics. Create, manage, and utilize high-quality evaluation datasets to rigorously test the accuracy, coherence, consistency, and robustness of multi-agent system outputs. Implement and leverage tools like Langsmith or other open-source solutions (e.g., TruLens, Ragas, custom frameworks) to trace agent interactions, analyze trajectories, and measure the accuracy and effectiveness of multi-agent system behavior. Perform root cause analysis for evaluation failures and drive iterative improvements to agent design and system performance. Develop methods for assessing inter-agent communication efficiency, task allocation accuracy, and collaborative problem-solving success. MLOps & Deployment: Establish and implement robust MLOps pipelines for training, evaluating, deploying, monitoring, and managing generative AI models and multi-agent systems in production environments. Ensure model and agent system scalability, reliability, and performance in a production setting. Implement version control for models, data, and code. Monitor model drift, performance degradation, and data quality, implementing proactive solutions for both individual models and interconnected agents. Back-end Engineering (Microservices on AWS/GCP): Develop and maintain highly scalable and resilient microservices to integrate generative AI models and orchestrate multi-agent systems into larger applications. Design and implement APIs for model inference and agent interaction and coordination. Deploy and manage microservices on cloud platforms such as AWS or GCP, utilizing services like EC2, S3, Lambda, EKS/ECS, Sagemaker, GCP Compute Engine, GCS, GKE, Vertex AI, etc., with a focus on supporting agentic architectures. Implement best practices for security, logging, monitoring, and error handling in microservices, especially concerning inter-agent communication and system resilience Collaboration & Leadership: Collaborate closely with data scientists, machine learning engineers, product managers, and other stakeholders to translate business requirements into technical solutions, with a keen eye on opportunities for multi-agent automation and their measurable impact. Mentor junior engineers and contribute to the growth of the teams technical capabilities, particularly in agentic AI development and rigorous evaluation. Participate in code reviews, architectural discussions, and technical design sessions, championing best practices for multi-agent system design and testability. Required Qualifications: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 4+ years of experience in software engineering with at least 2+ years focused on Machine Learning Engineering or Generative AI development. Demonstrable prior experience in multi-agent product development, including designing, implementing, and deploying systems with interacting AI agents. Mandatory experience in working with evaluation datasets, defining metrics, and assessing the accuracy and performance of multi-agent systems using tools like Langsmith or comparable open-source alternatives. Exceptional proficiency in Python and its ecosystem for machine learning (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Deep expertise with Langgraph and Langchain for building complex LLM applications, intelligent agents, and orchestrating multi-agent workflows. Solid understanding and practical experience with various generative AI models (LLMs) Proven experience with MLOps principles and tools (e.g., MLflow, Kubeflow, Data Version Control (DVC), CI/CD for ML), with an emphasis on agent system lifecycle management and continuous evaluation. Extensive experience designing, developing, and deploying microservices architectures on either AWS or GCP. Proficiency with containerization technologies (Docker) and orchestration (Kubernetes). Strong understanding of API design and development (RESTful, gRPC). Excellent problem-solving skills, with a focus on building robust, scalable, and maintainable solutions. Strong communication and collaboration skills. Preferred Qualifications: Experience with Apache Spark for large-scale data processing Experience with specific AWS services (e.g., Sagemaker, Lambda, EKS) or GCP services (e.g., Vertex AI, GKE, Cloud Functions) for deploying and managing agentic systems. Familiarity with other distributed computing frameworks. Contributions to open-source projects in the AI/ML space, especially those related to multi-agent systems or agent frameworks (e.g., AutoGen, CrewAI). Experience with real-time inference for generative models and real-time agent decision-making and evaluation.

At CommerceIQ.ai, we re building the Retail Co-Pilot - AI Commerce Platform of the future. Our mission is to help the world s leading consumer brands win in digital commerce by combining AI-driven insights, autonomous decision-making, and intelligent execution across retail channels like Amazon, Walmart, Instacart, and more. The Agentic AI & Semantic Search team sits at the heart of this mission. We are building intelligent AI agents that can reason, plan, and act, powered by semantic search, retrieval, and contextual understanding. Our systems drive the AI flywheel, where data, models, evaluation, and feedback continuously improve to deliver business-critical outcomes for our customers. About the Role We are seeking a highly skilled Senior Technical Lead o join our Agentic AI & Semantic Search team. This is a hands-on technical leadership role responsible for designing scalable AI systems that integrate agentic reasoning with semantic search to deliver real-time, context-rich, and commerce-aware decisions. You will define the technical vision, lead architectural strategy, and build retrieval, reasoning, and evaluation platforms that directly impact how the world s top brands manage billions of dollars in eCommerce revenue. Key Responsibilities Architecture & Leadership: Define and drive the architecture for agentic AI systems that combine LLM reasoning, semantic search, and contextual grounding. AI Agent Development: Design frameworks that allow agents to autonomously analyze data, retrieve context, and execute workflows across e-commerce platforms. Semantic Search Excellence: Build scalable retrieval systems leveraging vector databases, embeddings pipelines, hybrid search (dense + sparse), and re-ranking models. Agent-Oriented Design: Enable agents to access structured and unstructured commerce data (retailer catalogs, customer demand, supply chain signals) with contextual reasoning and memory. AI Flywheel & Continuous Improvement: Design and operationalize evaluation datasets and benchmarking frameworks for agents and semantic search. Integrate annotation and labeling workflows to generate high-quality training and evaluation datasets. Build feedback loops where customer signals and agent outcomes drive system improvements. Metrics & Instrumentation: Define robust metrics for search relevance, grounding accuracy, reasoning quality, and business impact. Scalable Infrastructure: Architect distributed, low-latency, production-grade AI systems that serve mission-critical to CommerceIQ use cases. Cross-team Collaboration: Partner with Agentic AI engineers, and product managers to turn AI innovations into scalable solutions. Mentorship & Influence: Provide technical guidance, mentor engineers, and champion best practices in system design and AI engineering. Qualifications Must-Have 8-10+ years of software engineering experience, including 3+ years in Senior IC roles. In-depth knowledge of LLMs, agent frameworks, orchestration (LangChain, LlamaIndex, CrewAI, etc.), and retrieval-based methods. Experience in semantic search, retrieval systems, and distributed system design. Strong expertise in vector DBs (FAISS, Pinecone, Weaviate, Milvus), hybrid search, embeddings, and re-ranking models. Proven track record with RAG pipelines and integrating retrieval into LLM reasoning. Familiarity with evaluation dataset design, annotation tools (Labelbox, Scale AI, Prodigy, or in-house), and developing continuous evaluation pipelines. Proficient in Python and at least one systems language (Go, Java, or C++). Strong background in system design with the ability to lead end-to-end technical initiatives. Nice-to-Have Experience with LLM fine-tuning, alignment, or reinforcement learning with human feedback (RLHF). Background in NLP/IR research, query understanding, or contextual search optimization. Experience with eCommerce / retail datasets and domain-specific semantic search challenges. What We Value Commerce-First AI: Passion for applying AI to solve real-world commerce problems. Builder Mindset: Thrives in ambiguity and can translate vision into scalable systems. Pragmatic Innovation: Balances cutting-edge research with enterprise-grade reliability. Leadership Without Authority: Influences across teams through technical depth and clarity.

As a Customer Support Engineer at CommerceIQ, you will be a key player in providing top-tier technical support to our product users/customers. Your primary responsibility will be to ensure quick and effective resolution of support tickets raised through the Freshdesk ticketing system. Your proficiency in managing the ticket lifecycle, working collaboratively with engineering and product teams, and generating actionable metrics and reports using tools like SQL and Excel will be crucial in this role. You will directly impact customer satisfaction, product quality, and process improvements by triaging, investigating, and resolving technical issues related to our products. Your strong communication skills with stakeholders and customers will be essential to maintain a high level of support. Key Responsibilities: Manage Customer Support Tickets: - Monitor and respond to incoming support tickets via the Freshdesk ticketing system. - Triage, prioritise, and categorise tickets based on severity and business impact. - Address all customer inquiries promptly and accurately. - Track and manage the lifecycle of tickets, ensuring timely follow-up and closure. Collaborate with Cross-Functional Teams: - Work closely with Engineering, Product, and Customer Success teams to troubleshoot and resolve complex product issues. - Escalate unresolved or high-priority issues to technical teams and keep stakeholders informed. - Provide technical feedback and user insights to improve the product and reduce future support issues. Technical Troubleshooting & Problem-Solving: - Provide root cause analysis for recurring product issues and suggest solutions. - Investigate technical issues, perform diagnostics, and collaborate with engineering teams. - Replicate customer issues in test environments to identify bugs or configuration issues. Metrics & Reporting: - Generate reports on ticket volume, resolution times, customer satisfaction (CSAT), and other KPIs. - Use SQL and Excel to extract, manipulate, and analyze ticket data for actionable insights. - Develop dashboards and reports to track team performance and support trends. Knowledge Management: - Contribute to the creation and maintenance of a knowledge base by documenting common issues and solutions. - Share best practices and process improvements to enhance support quality and efficiency. Customer Communication: - Maintain a professional and positive tone in all communications with customers. - Effectively communicate technical issues and resolutions to both technical and non-technical customers. Continuous Improvement: - Identify opportunities for process improvements to enhance ticket resolution time and team efficiency. - Participate in regular team meetings to discuss ongoing challenges and potential solutions. Required Skills and Experience: - Bachelor's degree in computer science or equivalent. - 7-10 years of experience in a similar role. - Strong knowledge of Freshdesk, Service Desk, Ticket Management, and Metrics. - Strong SQL knowledge. - Proficiency in MS Excel (Vlookup, Advance formulae) with macros as an added advantage. - Strong mathematical, analytical, and problem-solving skills. - Ability to prioritize tasks and handle multiple priorities effectively. - Excellent verbal and written communication skills. - Strong attention to detail and ability to stay calm under pressure. Preferred Qualifications: - Experience with API integrations or technical product interfaces. - Familiarity with CRM tools or other customer support software. - Knowledge of agile methodologies and experience working in an agile environment. Note: The role requires working in UK and US shifts. This position is based in Bengaluru, Karnataka, India.,

@CommerceIQ, you will : You will be responsible for developing, testing and releasing features within time and with high quality that will drive revenue and margin impact to top brands. You will be designing your own features keeping in mind the scale and high availability of the systems. You will be working with the team and expected to perform code reviews, conduct design discussions, and mentor other developers. You will be the owner of your feature and work directly with product teams to drive customer impact. You will be expected to participate in all phases of the software development cycle as part of a Scrum team. Experience : 4+ years in designing and developing complex and scalable software modules. Skillset : The ideal candidate will be an experienced Java developer with exceptional software system design, problem solving, and object-oriented coding skills Experience with distributed transaction-processing systems or asynchronous messaging technology is required. Good understanding of system performance trade-offs, load balancing, and engineering for high availability. Obsessed about building quality software and owning end to end responsibility for the developed features. Understanding of enterprise information systems, service oriented architectures, and operational data stores is a plus

Company Overview CommerceIQ s AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world s largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world s leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. Learn more at commerceiq.ai . Technical Expertise Strong background in machine learning, deep learning, and NLP, with proven experience in training and fine-tuning large-scale models (LLMs, transformers, diffusion models, etc.). Hands-on expertise with Parameter-Efficient Fine-Tuning (PEFT) approaches such as LoRA, prefix tuning, adapters, and quantization-aware training. Proficiency in PyTorch, TensorFlow, Hugging Face ecosystem and good to have distributed training frameworks (e.g., DeepSpeed, PyTorch Lightning, Ray). Basic understanding of MLOps best practices, including experiment tracking, model versioning, CI/CD for ML pipelines, and deployment in production environments. Experience working with large datasets, feature engineering, and data pipelines, leveraging tools such as Spark, Databricks, or cloud-native ML services (AWS Sagemaker, GCP Vertex AI or Azure ML). Knowledge of GPU/TPU optimization, mixed precision training, and scaling ML workloads on cloud or HPC environments. Applied Problem-Solving Mandatory skill - Demonstrated success in adapting foundation models to domain-specific applications through fine-tuning or transfer learning.Mandatory skill - Strong ability to design, evaluate, and improve models using robust validation strategies, bias/fairness checks, and performance optimization techniques. Experience in working on applied AI problems across NLP, computer vision, or multimodal systems or any other domain. Leadership & Collaboration Proven ability to lead and mentor a team of applied scientists and ML engineers, providing technical guidance and fostering innovation. Strong cross-functional collaboration skills to work with product, engineering, and business stakeholders to deliver impactful AI solutions. Ability to translate cutting-edge research into practical, scalable solutions that meet real-world business needs. Other Excellent communication and presentation skills to articulate complex ML concepts to both technical and non-technical audiences. Continuous learner with awareness of emerging trends in generative AI, foundation models, and efficient ML techniques. Education & Experience Master s or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, or a related field. 7+ years of hands-on experience in applied machine learning and data science, with at least 2+ years in a leadership or managerial role. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.