Ecommerce Enterprise Feed Coordinator

About Feedonomics powered by Commerce - A Remote-First Company Have you ever wondered how companies list their products on Amazon? Or how Google knows which products are in stock in a store near you? How about how your order gets to your door when you buy from a third-party merchant on Amazon? That’s where Feedonomics comes in As a leading product feed management platform, Feedonomics works with agencies, brands, and retailers to optimize and list products on the top e‑commerce shopping destinations around the world. We manage everything from onboarding to ongoing feed maintenance for our clients, enabling them to expand their e‑commerce business more efficiently. Since its inception in 2014, Feedonomics has developed an incredible reputation for our full‑service approach to feed management, our inclusive culture, and our industry‑leading technology. The Global Operations team at Feedonomics The Global Operations team at Feedonomics is an incredible group of Feedos who work to ensure our clients have the best possible experience at Feedonomics. The support side of the team handles both inbound reactive customer support and outbound proactive client success with a focus on quality. As part of our Global Operations team is the Advertising team, which is a client‑centric team supporting a fully managed solution that streamlines feed optimization, product listing, and data synchronization for hundreds of paid search, social media, and affiliate channels. Our stellar global operations team and support specialists are available 24/7, enabling Feedonomics to create a full service feed management experience for advertisers. The Role The Enterprise Feed Coordinator (ecommerce shopping feed coordinator) will be responsible for setting up, analyzing, and defining optimizations to be made on product data feeds for our clients in the APAC region. You will be responsible for all elements of integrating client’s data feed, ensuring adherence to Feedonomics and industry best practices and documented methodology to ensure a high level of service delivery. You will meet with clients and discuss feed optimizations and create a detailed data review that will guide the feed build team as they transform raw data into an optimized product feed, tuned for performance in each unique channel, including Google Shopping, Facebook, Pinterest and other advertising channels. This position reports to the Client Onboarding Manager, Integrations. Responsibilities Execute data feed integrations using a variety of platforms and formats, including Shopify, BigCommerce, Salesforce, Magento, Netsuite, and Oracle. Execute data feed integrations via SFTP, FTP, URL‑based imports, and custom APIs. Implement Enterprise, Premier, and Lite integration methods. Perform advanced troubleshooting of data import issues and platform‑specific challenges. Ensure technical setups adhere to defined onboarding service level agreements (SLAs). Meet with clients to discuss feed requirements and confirm optimization strategies. Analyze large‑scale raw data sets (up to 1M+ SKUs) to create detailed data reviews for the Feed Build team. Translate client business goals into actionable integration plans and data transformation strategies. Provide channel‑specific recommendations to enhance feed quality and performance. Collaborate with Enterprise Feed Managers, Sales, and Customer Success Managers to align on client goals. Support the Feed Build team by answering integration‑related questions during implementation. Serve as the client’s technical representative in internal planning and escalation processes. Requirements 3 years of experience working in a B2B e‑commerce or digital advertising environment. Strong ability to analyze large structured and unstructured data sets and interpret business needs into technical requirements. Demonstrated success in building and maintaining effective client relationships. Excellent organizational skills with the ability to manage multiple projects and deadlines. Strong time management and prioritization skills, particularly under compressed timelines. Education Bachelor’s degree in Computer Science, Information Systems, or related technical field preferred. Equivalent work experience in technical data integration or e‑commerce may be considered. Job Type Remote – work from home. Working Hours 22:00 to 07:00 SAST, Sunday to Thursday. APAC Hours: 07:00 to 16:00 AEST / 06:00 to 15:00 AEDT, Monday to Friday. Salary R24.5k to R26k per month. #J-18808-Ljbffr