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The purpose of this role is to execute data processing for our clients. This role is able to understand the input file requirements and output file requirements, along with data processing capabilities. The end result is a role that delivers data processing results for our clients. Job Description • Preferred candidate profile 1+years of experience working with UNCLE, Q, Dimension, SPSS syntax or similar data processing software. Experience working with data for large, multi-market complex projects • Experience in data processing including weighting, stacking and sig testing, with good understanding of industry best practices • • Should be able to perform extensive quality checks and data validation to ensure accuracy. Role & responsibilities Coordinate with internal project managers / client services team members to finalize materials (data processing spec forms); provide guidance on tool functionality and solutions. • • Develop and maintain data processing workflows and documentation. • Microsoft Excel skills required with VBA macro writing experience/knowledge a plus Should be comfortable to work in night shifts rotational, 24/7 operational support and working on weekends - Roaster • Client-focused with strong consulting, communication, and collaboration skills. Emotionally intelligent, adept at conflict resolution, and thrives in high-pressure, fast-paced environments. Demonstrates ownership, problem-solving ability, and effective multitasking and prioritization. Perks Good hike on current CTC Insurance Sat-sun off Hybrid

Role & responsibilities Minimum 10 to 14 years of experience Proven experience in managing, leading and mentoring a team of test engineers as well as team leads. Developing test plans, implementing test processes, recording results, and publishing to stakeholders. Strong expertise in defining test strategy, establishing optimal test patterns, implementing key quality metrics and reporting and publishing those metrics across various stakeholders. Knowledge of core testing concepts like Shift-Left strategy, Test Pyramid, TDD/BDD etc. Strong Experience with automation tools such as Selenium or Playwright. Strong Experience with automation framework like Codecept.js or Serenity BDD or Cucumber. Experience on non-functional tests like performance/load/volume testing by using tools like JMeter

Job Description Key Responsibilities: 1. Data Engineering & Pipeline Development Design, build, and maintain scalable ELT pipelines for ingesting, transforming, and processing large-scale marketing campaign data. Ensure high data quality, integrity, and governance using orchestration tools like Apache Airflow, Google Cloud Composer, or Prefect. Optimize data storage, retrieval, and processing using BigQuery, Dataflow, and Spark for both batch and real-time workloads. Implement data modeling and feature engineering for ML use cases. 2. Machine Learning Model Development & Validation Develop and validate predictive and prescriptive ML models to enhance marketing campaign measurement and optimization. Experiment with different algorithms (regression, classification, clustering, reinforcement learning) to drive insights and recommendations. Leverage NLP, time-series forecasting, and causal inference models to improve campaign attribution and performance analysis. Optimize models for scalability, efficiency, and interpretability. 3. MLOps & Model Deployment Deploy and monitor ML models in production using tools such as Vertex AI, MLflow, Kubeflow, or TensorFlow Serving. Implement CI/CD pipelines for ML models, ensuring seamless updates and retraining. Develop real-time inference solutions and integrate ML models into BI dashboards and reporting platforms. 4. Cloud & Infrastructure Optimization Design cloud-native data processing solutions on Google Cloud Platform (GCP), leveraging services such as BigQuery, Cloud Storage, Cloud Functions, Pub/Sub, and Dataflow. Work on containerized deployment (Docker, Kubernetes) for scalable model inference. Implement cost-efficient, serverless data solutions where applicable. 5. Business Impact & Cross-functional Collaboration Work closely with data analysts, marketing teams, and software engineers to align ML and data solutions with business objectives. Translate complex model insights into actionable business recommendations. Present findings and performance metrics to both technical and non-technical stakeholders. Qualifications & Skills: Educational Qualifications: - Bachelors or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field. - Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus. Must-Have Skills: - Experience: 5-10 years with the mentioned skillset & relevant hands-on experience - Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer). - ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP. - Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing. - Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms. - MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools). - Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing. Nice-to-Have Skills: - Experience with Graph ML, reinforcement learning, or causal inference modeling. - Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards. - Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies. - Experience with distributed computing frameworks (Spark, Dask, Ray).

Key Responsibilities Manage a portfolio of SME sellers running ads on a digital marketplace platform. Understand sellers business goals and recommend relevant marketplace ad solutions. Proactively provide performance updates and insights to improve campaign outcomes. Drive account retention and increase seller media spends based on performance insights. Maintain timely documentation, call notes, follow-up schedules, and CRM hygiene. Achieve daily/weekly/monthly targets for consultations, seller engagement, and media spend growth. Act as a single point of contact for all client communication, escalations, and renewals. Maintain a disciplined, organized approach to work and be comfortable with a fixed 9-hour shift. Qualifications 1–2 years of hands-on experience in digital/marketplace advertising (Flipkart, Amazon, or Meesho Ads preferred). Strong communication skills and ability to explain ad performance in simple terms to SME sellers. Ability to manage multiple client accounts with attention to detail and time sensitivity. Self-starter with a learning mindset, strong ownership and a customer-first attitude. Comfortable with campaign dashboards, Excel/Sheets, and CRM tools.

Key Responsibilities : Test Strategy and Planning : Define and implement the overall testing strategy, with a focus on scaling investigative QA approaches. Develop comprehensive testing approach and tooling aligned with project requirements and timelines. Standardize QA best practices for Snowflake Native Apps across teams. Monitor progress, and ensure timely delivery of testing milestones. Foster a culture of continuous improvement and innovation across QA teams. Testing and Quality Assurance : Conduct functional, regression, performance, and security testing to ensure software reliability and usability. Manage bug tracking and resolution processes using tools such as JIRA. Collaboration and Communication : Collaborate closely with development, product, DevOps and other QA teams to ensure alignment on quality goals and requirements. Participate in requirement reviews, design discussions, and sprint planning sessions to identify potential risks and dependencies. Provide regular updates on QA metrics, progress, and challenges to stakeholders. Qualifications and Certifications : Bachelors or Masters degree in Computer Science, Information Technology, or a related field. Relevant certifications such as ISTQB, Certified Software Test Engineer (CSTE), or equivalent are highly desirable. Snowflake certifications Key Skills and Experience : Experience : 5+ years of SQL and database management 7+ years of experience in software testing and QA Proficiency in manual and automated testing techniques and platforms Expertise in QA methodologies, testing lifecycle (STLC), and Agile/Scrum processes. Strong knowledge of bug tracking tools (e.g., JIRA) test management tools (e.g., TestRail) and monitoring (e.g. Datadog) Hands-on experience with programming languages like Python or JavaScript Understanding of CI/CD pipelines and integration of testing into DevOps workflows. Familiarity with cloud-based testing environments Preferred Skills : Snowflake data or app developer Experience with API testing tools like Postman or SOAP UI. Knowledge of security testing and tools like OWASP ZAP or Burp Suite. Expertise in database testing using SQL Soft Skills : Strong analytical and problem-solving skills. Excellent communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. Leadership abilities to motivate and guide the QA teams toward achieving quality goals.

As a Team Lead you will oversee a team of 1012 Account Managers, ensuring high-quality campaign execution and seller satisfaction. Your role includes driving team performance, seller retention, and media spend growth. Key Responsibilities Lead a team of 1012 Account Managers to deliver high-quality campaign execution and seller satisfaction. Own the team’s performance, seller retention, SLA adherence, and media spend growth. Conduct daily huddles and weekly reviews to help AMs prioritize accounts and actions. Hire, mentor, train, and coach AMs to ensure consistent performance and high motivation. Monitor call quality, follow-ups, and disposition tagging via dashboards and reports. Ensure all SLAs (callbacks, follow-ups, renewals) are tracked and met. Collaborate with tech and ops teams to identify process improvement and automation opportunities. Comfortable with a fixed 9-hour shift and occasional peak-time flexibility. Qualifications 3–5 years of experience in digital performance marketing with marketplace ads (Flipkart, Amazon, Meesho etc.). Experience managing customer-facing or seller success teams in an ad-tech environment. Strong analytical skills and ability to translate dashboards into actionable insights. Proven ability to grow seller accounts and meet revenue/media spend goals. Strong people management skills with a bias for action and hands-on coaching. Demonstrated experience in hiring and building high-performing teams. Experience working cross-functionally with tech, ops, and client-facing teams.

Role & responsibilities Key responsibilities: Plans and implements tests that cover the functional and non-functional requirements of the system Sets up test environments, designs test plans, develops test cases/scenarios/usage cases, and executes these cases Tests and proves that the software meets major architectural requirements Develops and automates tests for software validation Detects and track bugs and issues Prepares defect reports and report test progress Provides feedback on usability and serviceability, traces the result to quality risk and report it to concerned people Preferred candidate profile Must Have: Minimum 3 to 5 years of experience Ability to implement test plans, follow test process, and record results. Familiarity with software testing best practices including test standards, code reviews, test data management, test methods and test techniques. Good test automation skills toward writing test cases which cover functional, regression, integration, and end to end system testing. Experience in basic Java, Java-script, or Python. Experience with automation tools such as Selenium or Playwright or Cypress. Experience with automation framework like Codecept.js or Serenity BDD or Cucumber. Strong attention to detail and commitment to quality. Strong communication, collaboration skills and ability to solve problems. Should be able to provide reports to senior stakeholders. Perks and benefits Good hike on current CTC Insurance Hybrid work mode

We are seeking a strategic, client-focused, and results-driven Performance Marketing Manager to lead and manage key paid media accounts. The ideal candidate will be responsible for driving the performance marketing strategy, overseeing campaign delivery, and ensuring client satisfaction through continuous performance optimization and operational excellence. This role acts as the primary point of contact for clients and plays a critical role in account planning, execution, and growth. Role & responsibilities Strategy Development & Execution Campaign & Account Management Client Communication & Relationship Management Cross-Functional Collaboration Reporting & Insights Preferred candidate profile 3-5 years of hands-on experience in performance marketing with a strong background in Paid Search, Paid Social, and/or Programmatic. Proven track record of driving measurable results and successfully managing client accounts. Strong communication and client-facing skills with experience presenting to senior stakeholders. Expertise in tools such as Google Ads, Meta Ads Manager, Google Analytics, and campaign management platforms (e.g., SA360, DV360). Excellent problem-solving, analytical thinking, and project management abilities. Ability to mentor junior team members and coordinate cross-functional collaboration. Preferred Qualifications: Bachelor's degree in Marketing, Business, Communications, or a related field. Certifications in Google Ads, Meta Blueprint, or other media platforms. Prior experience in a media agency or digital consultancy Benefits Hybrid & Remote Work Flexibility Comprehensive Health & Insurance Plans Competitive Salary Hike Employee Wellness & Engagement Programs

Job Description Summary Lead a high-performing technical team in delivering survey data analytics deliverables and intelligent automation solutions. Initially focused on client engagement and operational excellence, this role evolves into spearheading backend development and process innovation across the market research lifecycle. Role & responsibilities Key Responsibilities Client & Stakeholder Engagement (Short-Term Focus) Act as the primary point of contact for key clients, translating research goals into technical deliverables. Ensure timely, accurate, and high-quality outputs aligned with client expectations and market research standards. Partner with research and project managers to ensure stakeholder feedback is embedded in deliverables. Team Leadership & Capability Development (Short-Term Focus) Guide and mentor a multidisciplinary team (SQL, R, Python, Tableau) in delivering data processing and reporting solutions. Lead sprint planning, resource allocation, and task optimization across concurrent client deliverables. Technical Strategy & Innovation (Growing Long-Term Focus) Architect automation and data products to accelerate turnaround time and boost data integrity. Conceptualize and build modular backend components using Python, APIs, microservices, and containerized frameworks. Preferred candidate profile 7 - 10 years of experience in Market Research tech stack. Strong leadership with a track record of delivering end-to-end client projects. domain knowledge in market research. understanding of surveys, data collection, data validations/processing/reporting Knowledge of SQL,python or R

Openings- 10 Design, develop, and maintain robust data pipelines and workflows using Snowflake features including: Stored Procedures Tasks and Streams Snowpark for Python Write optimized and maintainable SQL and Python code for data processing and transformation. Collaborate with cross-functional teams to build and support marketing data products. Ensure data quality, integrity, and governance across all data products. Participate in Agile ceremonies (standups, planning, retrospectives), contributing to sprint planning and delivery. Understand data requirements and deliver scalable solutions. Monitor and optimize data pipeline performance and cost-efficiency in Snowflake. Create technical documentation and maintain Confluence pages for knowledge sharing. Required Skills & Qualifications: 4-6 years of experience in Data Engineering or a related field. Strong exposure in Snowflake development: Proficient in Python programming, especially for data manipulation and automation. Hands-on experience with marketing data , attribution models, campaign data, and customer segmentation. Familiarity with the Agile development process and tools. Excellent written and verbal communication skills . Good to Have: Experience with JIRA and Confluence . Exposure to CI/CD practices using GitHub and/or Bitbucket . Understanding of orchestration and automation tools . Knowledge of modern data architectures and cloud-native solutions.

Role Purpose The Data Scientist will play a key role in developing advanced data solutions that power Dentsu medias next-generation products and capabilities. This role will design, test, and deploy machine learning models, build data integrations, and provide actionable insights to optimize media investment, audience intelligence, and performance delivery. Key Responsibilities Develop and deploy machine learning models to analyze audience behavior, campaign performance, and media efficiency. Design and build data integrations across CDPs, DMPs, clean rooms, and identity solutions to unify client and media data. Support the creation of predictive and prescriptive models for programmatic bidding, budget optimization, and outcome forecasting. Partner with product managers, strategists, and analytics leads to translate business challenges into data science solutions. Collaborate with the measurement and analytics teams to connect insights into dashboards and client deliverables. Identify and test new AI/ML solutions to drive optimization and innovation across programmatic, retail media, and performance platforms. Ensure all data use aligns with compliance, privacy, and governance standards. Qualifications & Experience 3–6 years’ experience as a Data Scientist/Analyst , ideally in media, ad tech, or digital platforms . Proficiency in Python , R, SQL , and common ML libraries (scikit-learn, TensorFlow, PyTorch) . Experience with CDP s, identity resolution, clean rooms, or ad tech data flows is highly preferred. Strong understanding of programmatic media , digital KPIs, and performance optimization. Familiarity with any data visualization tools (Tableau, Power BI, Looker) and ability to support dashboard integration. Excellent problem-solving and analytical skills, with the ability to explain complex models to non-technical stakeholders. Degree in Computer Science, Data Science, Statistics, or related field. Master’s preferred. Role & responsibilities Preferred candidate profile

Lead Developer/Engineer Job Summary : The purpose of this role is to provide technical guidance and suggest improvements in development processes. Develop required software features, achieving timely delivery in compliance with the performance and quality standards of the company. Job Description: Job Description Key responsibilities: Participates in the entire software development cycle - requirements analysis, design and development, unit testing and documentation Responsible for long-term code reusability and stability Proactively identifies security, usability etc. issues and formulates strategies to resolve them Works independently, without guidance, with broader overview on the project Takes ownership for the delivery of complex application features and resolves key technical issues related to the assigned project Complies with estimation process and is responsible for accurate personal estimates Develops required software features, achieving timely and quality delivery Delivers trainings and participates in knowledge sharing Mentors new software engineers in the team Integrates new technologies

We are looking for a Media Effectiveness Trainer to upskill teams in analytics, visualization, and measurement frameworks using industry-leading tools like Excel 365, SQL Server, Tableau, and Power BI . Key Responsibilities Conduct training on Excel (formulas, lookups, pivots) and SQL (queries, joins, aggregates). Deliver Tableau and Power BI sessions (dashboarding, storytelling, DAX, Power Query). Teach data visualization (histograms, sunburst, waterfall) and measurement principles (KPIs vs metrics, funnels, planning). Develop learner-friendly content and real-world case studies for media effectiveness. Requirements Proficiency in Excel 365, SQL Server, Tableau, Power BI . Strong knowledge of dashboards, data modeling, and report optimization. Understanding of media KPIs and campaign measurement. Excellent communication and facilitation skills. 5+ years of experience in analytics/training preferred. Benefits Competitive compensation package Health & insurance coverage Lead training on Excel 365, SQL Server, Tableau & Power BI Build expertise in media effectiveness & measurement frameworks

Role Purpose The Data Scientist will play a key role in developing advanced data solutions that power Dentsu medias next-generation products and capabilities. This role will design, test, and deploy machine learning models, build data integrations, and provide actionable insights to optimize media investment, audience intelligence, and performance delivery. Key Responsibilities Develop and deploy machine learning models to analyze audience behavior, campaign performance, and media efficiency. Design and build data integrations across CDPs, DMPs, clean rooms, and identity solutions to unify client and media data. Support the creation of predictive and prescriptive models for programmatic bidding, budget optimization, and outcome forecasting. Partner with product managers, strategists, and analytics leads to translate business challenges into data science solutions. Collaborate with the measurement and analytics teams to connect insights into dashboards and client deliverables. Identify and test new AI/ML solutions to drive optimization and innovation across programmatic, retail media, and performance platforms. Ensure all data use aligns with compliance, privacy, and governance standards. Qualifications & Experience 3–6 years’ experience as a Data Scientist/Analyst , ideally in media, ad tech, or digital platforms . Proficiency in Python , R, SQL , and common ML libraries (scikit-learn, TensorFlow, PyTorch) . Experience with CDP s, identity resolution, clean rooms, or ad tech data flows is highly preferred. Strong understanding of programmatic media , digital KPIs, and performance optimization. Familiarity with any data visualization tools (Tableau, Power BI, Looker) and ability to support dashboard integration. Excellent problem-solving and analytical skills, with the ability to explain complex models to non-technical stakeholders. Degree in Computer Science, Data Science, Statistics, or related field. Master’s preferred. Role & responsibilities Preferred candidate profile

we are looking for a Programmatic Trainer to upskill our teams and external participants in cutting-edge programmatic advertising techniques. Role Overview: The Programmatic Trainer will be responsible for designing, delivering, and continuously improving training modules on programmatic advertising, DSPs, SSPs, ad exchanges, and campaign optimization strategies. You will empower learners with practical skills to execute data-driven campaigns effectively. Key Responsibilities: Develop and deliver comprehensive training sessions (classroom, online, or blended) on programmatic advertising. Create engaging training content, case studies, and hands-on exercises. Train teams on platforms such as DV360, The Trade Desk, Amazon DSP, or similar DSPs. Stay updated with the latest trends, tools, and compliance standards (e.g., GDPR, CCPA). Assess learner progress and provide constructive feedback. Collaborate with stakeholders to customize training as per business needs. Requirements: Proven experience in programmatic advertising (min. 35 years preferred). Strong knowledge of DSPs, ad servers, SSPs, and real-time bidding (RTB). Prior experience in training, coaching, or mentoring digital marketing professionals. Excellent communication and presentation skills. Preferred Qualifications: Certifications in Google DV360, The Trade Desk, or other relevant platforms. Experience working in digital agencies or ad-tech companies. Strong analytical and problem-solving skills. What We Offer: Competitive compensation package. Health insurance coverage. Fixed Saturday & Sunday weekly offs.

Team & Performance Oversight Line manage Paid Social team members, providing clear guidance, regular feedback, and structured performance reviews Monitor individual and team-level output to ensure quality, productivity, and adherence to SLAs Address underperformance through support plans and upskilling; recognise and develop high-potential talent Work with HR and leadership on career progression paths, learning plans, and role transitions Operational Execution & Delivery Governance Oversee day-to-day delivery operations to ensure timely and accurate execution of Paid Social campaigns Implement and maintain workflows, checklists, and QA processes to reduce defects and enhance delivery consistency Track delivery KPIs such as task turnaround time, defect rates, utilisation, and campaign readiness Proactively flag risks, delivery delays, or resourcing issues, and drive quick resolutions Resource & Capacity Management Own resource planning and allocation across accounts based on workload, skill set, and market needs Forecast upcoming resource needs in coordination with leads and escalate headcount gaps as needed Ensure new joiners are onboarded effectively with clear roles and expectations Maintain up-to-date resourcing and reporting in platforms like Workday or other tracking tools Stakeholder Coordination Serve as the go-to point of contact for operational updates, team health, and delivery issues Partner with Account Leads and Client Services to align on project timelines, capacity constraints, and workload distribution Represent delivery operations in internal meetings and reviews, providing updates and actionable insights Support issue resolution and ensure smooth collaboration across Paid Social, AdOps, Analytics, and other internal teams Qualifications Bachelors Degree required. 8-10 years of cross industry consulting experience in integrated marketing strategy, digital marketing, business case analysis, operating model design and execution, campaign design and measurement strategy 5+ years working in a top tier Media agency Experience leading and managing cross-functional teams in dynamic, complex, project-driven environments Experience in managing multiple stakeholders and international clients. Demonstrated skills and abilities managing and improving service delivery metrics Deep knowledge of end-to-end consulting approaches to solve client problems - from planning and design to development and execution of strategy AdTech/MarTech etc) to orchestrate and activate customer experiences Strong listening skills to understand clients visible and invisible needs. Strong writing, presentation and client facing communication skills. Experience translating data analysis into actionable marketing recommendations and presentations – proficiency in PowerPoint required. Thrives in ambiguous, fast-moving environments, and in informal, loosely structured, creative work environments. Comfort and experience working within a highly matrixed organization in roles with a wide degree of latitude. Role & responsibilities Preferred candidate profile

Requirements: Excellent knowledge of Python and SQL. Familiar with Machine learning, statistical analysis , and data visualization techniques. Experience with Regression modeling/Time series analysis and Marketing Mix Modelling. Familiar with cloud-based workflows, especially in AWS. Can work on Linux EC2 instances (Experience with other components of AWS like S3, API Gateway, Lambda, etc. would be a plus). Fluent in English, with excellent communication skills for both technical and non-technical audiences.

Job Description Role Summary The Finance & Ad Ops Operations Director will lead operational excellence across all accounts in the Retail Media department, with an initial focus on the top three highest-spending clients. This role is responsible for driving financial governance, ad operations compliance, and workflow solutions across complex media types including Search/PLA, DSP self-service, managed service display/video, and onsite campaigns. The Director will work closely with (VP, Strategy & Operations), Retail Media client team leads (Associate Directors+), and the Finance Reconciliation team, while also collaborating with Media Tech and Analytics teams to ensure scalable, compliant, and efficient execution. Key Responsibilities Strategic Financial + Operations Workflow Leadership & Governance Lead and maintain department-wide guidance for Prisma/Media Ocean and settings by campaign type. Build and support RACI plans for each account, tailored to staffing and campaign complexity and billing needs Identify and implement scalable workflow improvements and automation opportunities across financial and ad ops processes. Financial Operations Oversight Ensure Prisma campaigns and IOs are aligned to client-approved budgets and supported by MAFs before launch. Facilitate monthly actualization workflows and coordinate with Finance Reconciliation to ensure timely and accurate completion. Lead resolution of invoice discrepancies, including missing or misaligned invoices. Maintain and evolve the vendor billing relationships matrix; collaborate with Partnerships to troubleshoot systemic vendor issues. Ad Ops & Platform Compliance Oversee tagging workflows for display campaigns, coordinating with Media Tech and ensuring correct Prisma inputs and tag delivery. Ensure adherence to operational standards across media types, especially for Search/PLA, Amazon DSP, and TTD DSP. Support audit documentation and quality assurance protocols across accounts. Work with tech partners like Pacvue and Skai and other vendors to augment our automation workstreams to support standards adherence. Cross-Functional Enablement Collaborate with media and analytics teams to streamline data pulls and pacing documentation and flowcharting through systems like Guideline Planner. Serve as escalation point for campaign Prisma setup and billing issues. Coordinate closely with Retail Media leadership and Strategy & Operations to align priorities and support team enablement. Key Traits Strategic thinker with strong financial and operational acumen. Strong communication skills with leadership and vendor management. Proactive in identifying risks and driving resolution. Committed to team development and scalable process design.

Oversee strategic client operations and driving performance across key ecommerce platforms, with a primary focus on Amazon Vendor and Seller Central. This role leads a team in managing end-to-end sales operations, optimizing product listings, executing promotional strategies, and leveraging data-driven insights to increase revenue and market share. The ideal candidate brings deep expertise in Amazons ecosystem, including retail media, inventory management, and operational troubleshooting, while also supporting expansion across Walmart and other retail marketplaces. Ensures seamless collaboration between internal teams and clients, delivering measurable business outcomes and elevating excellence in commerce. Key operating platforms: Amazon Vendor Central, Amazon Seller Central, Salsify, Syndigo, Walmart Supplier Central, Roundel Supplier Studio Roles and Responsibilities: Strategic Planning & Client Growth Define long-term ecommerce strategies across Amazon platforms to drive revenue, profitability, and market share. Cross-Functional Leadership Align sales, media, analytics, and operations teams to deliver integrated commerce solutions. Platform & Channel Innovation Identify emerging Amazon capabilities, pilot new programs (e.g., Premium A+, Brand Tailored Promotions), and scale best practices. Revenue Forecasting & P&L Oversight Own forecasting models, budget planning, and performance pacing across key accounts. Team Development & Escalation Management Mentor account leads, resolve high-impact issues, and ensure consistent delivery excellence.

Role & responsibilities We are looking for Quality Assurance (QA) engineers to support our engineering team in ensuring the reliability, functionality, and performance of our product experiences. The ideal candidates will be detail-oriented, collaborative, and capable of working in a fast[1]paced environment with multiple stakeholders. These resources will partner closely with software engineers, PMs, and UX designers to validate end-to-end scenarios, regression coverage, and release readiness. Responsibilities Feature & Release Validation Create and execute test plans covering new feature development, regressions, and flighting rollouts. Validate Skills experiences (LPE/LPC flows, Copilot integrations, Admin settings, telemetry/metrics dashboards and etc). Support flighting strategies (dogfood MSIT worldwide release) and provide QA sign-off. Defect Management Log, track, and prioritize defects in Azure DevOps with clear reproduction steps. Partner with engineers and product managers to triage issues, verify fixes, and maintain release readiness. Automation & Tools Contribute to extending automated regression coverage for critical user scenarios. Support test execution in CI/CD pipelines. Use modern frameworks (Playwright, Canary, etc.) for UI/API validation. Cross-Team Collaboration Work directly with PMs, engineers, and design on release checklists. Participate in bug bashes, end-to-end testing weeks, and cross-org test efforts. Document and communicate test coverage, risks, and quality metrics. Qualifications 3+ years of QA experience, ideally in enterprise SaaS or M365 ecosystem. Strong understanding of QA methodologies (manual & automation). Experience testing web applications, APIs, and integration scenarios. Familiarity with Azure DevOps (test plans, work items) and CI/CD pipelines. Hands-on experience with automation frameworks (Playwright, Canary). Knowledge of accessibility standards (WCAG) and localization testing. Strong attention to detail and ability to work in a fast-paced release environment. Nice to Have Prior experience with Microsoft 365 or Viva products. Familiarity with telemetry validation (Kusto queries, dashboards). Understanding of licensing, compliance, and enterprise-scale rollouts.