Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies, who are looking to automate complex marketing intelligence and reporting to make decisions with ease. Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI, helping to eliminate complexity, delivering laser-focused insights to optimize budgets, enhance campaign efficiency and marketing ROI. As a rapidly scaling Series A startup that raised $34 million in funding, we're proud to partner with globally recognized brands such as ASUS, Docker, Activision, H&R Block, and many others. Our diverse team of curious, open, and hard-working individuals is committed to cultivating a fast-paced, agile culture that values personal and professional growth. What you will do You will help our users (marketers) fix data discrepancies. For example, investigate why there are fewer Reddit conversions in extracted data than seen through the Reddit ads platform UI. You might need to check all pipelines from the data source to the final SQL transformation to resolve the issue.Responsibilities Communicate with customers via Helpdesk (Jira) or video calls (Google Meet) Identify, research, and escalate customer problems to the appropriate team Solve various technical data-related issues using SQL, Kibana, etc. Document regular cases Work cross-functionally with the Customer Success, Product, Analytics, and Engineering Teams Be an expert on Improvado products for our customers Requirements 1+ year of experience as a Technical Support Engineer or in a similar role Experience with SQL, including an understanding of select queries, filtering, and aggregate queries Basic understanding of the Linux terminal Advanced or fluent English Customer-oriented mindset ready to support clients in various cases Nice to have Basic digital marketing knowledge (analytics tools, metrics, etc.) Experience with APIs (e.G., Facebook, Instagram, Twitter, Reddit) and Postman Experience with SQL window functions, update, insert, delete operations in Postgres or Clickhouse Experience with cloud providers (GCP, AWS, Azure) What We Offer Remote-first environment Strong product/market fit: marketing data product for US-based enterprises 27 days of PTO per year US holidays and additional days off Extremely fun & open startup environment Professional development reimbursement #J-18808-Ljbffr
