Product Data Management Engineer Jobs

Location Details: Remote - Bulgaria At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Schedule: Department hours from 10:30am EEST until 1:30am EEST 7 days a week. Shifts will be within department hours which Includes weekend work. Flexibility needed to cover shifts within department hours based on business needs. What you'll get to do... We're looking for a Technical Support professional to join our Investors and Enterprise Operations - Services & Care team. In this role, you'll support customers through clear communication, effective troubleshooting, and accurate execution of back-office tasks. You'll work in an escalated support environment where quality, empathy, and attention to detail matter. Technical Support I is a dual role that combines customer-facing support with operational responsibilities such as transaction processing, payouts, and account verification. You'll follow established procedures while developing deeper product knowledge and improving your technical troubleshooting skills over time. If you enjoy helping customers, solving problems, and learning new systems, this is a great opportunity to grow within a high-performing support organization. Communicate with customers via email, phones, chat, or internal systems to understand their needs and resolve issues Explain technical concepts in simple, straightforward language Provide accurate updates, set expectations, and ensure a positive support experience Troubleshoot operational and technical issues using internal diagnostic tools and knowledge articles Escalate complex issues appropriately and document them clearly for higher-level teams Proces

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. This position may be a hybrid or fully remote position, as decided by your manager. If designated as hybrid, you’ll divide your time between working remotely from your home and an office location, so you should live within commuting distance. If designated as remote, you’ll be working remotely from your home and may occasionally visit a GoDaddy office to meet with your team for events or meetings. Your hiring manager can share more about this role’s hybrid or remote designation. This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands. GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC. Join our team... Join GoDaddy's Applied AI and Machine Learning team, where you'll help shape the future of how millions of small business owners leverage AI to grow and run their businesses. Our team develops machine learning models and generative AI solutions that directly influence revenue, customer experience, personalization, pricing, and business outcomes at scale. As a Staff Machine Learning Scientist, you'll operate with a high degree of autonomy, partner closely with engineers and product leaders, and drive innovative AI initiatives from concept to production in a fast-moving environment that values purposeful action and measurable impact. What you'll get to do... Lead the development and deployment of machine learning and generative AI