About the roleIf you enjoy debugging complex data systems, working directly with customers, and owning technical issues end-to-end, this is a high-impact role inside a fast-scaling marketing intelligence platform used by leading eCommerce brands. The company is building an advanced attribution and marketing analytics platform that gives brands a unified, accurate view of ad performance, customer journeys, and revenue impact.They are hiring a Senior Support Engineer to operate at the intersection of engineering, data, and customer success. This is not a call-center support role. It is a technical, backend-heavy position focused on diagnosing data issues, debugging pipelines, and ensuring customers can trust the platform.The RoleYou will serve as the first technical point of contact for customers facing implementation or data challenges.Approximately 70 to 80 percent of the role is backend-focused.You will investigate logs, analyze data pipelines, review scripts, and debug integrations involving APIs, pixels, and order tracking.You will work closely with engineering and data teams, escalate complex issues when needed, and ensure customers receive clear, actionable solutions.What You’ll DoAct as the primary technical contact for support tickets and Slack escalationsDebug customer implementations involving tracking scripts, APIs, and data pipelinesWrite and optimize SQL queries to investigate data discrepanciesAnalyze logs and investigate backend issuesOwn data quality issues from identification to resolutionEscalate reproducible product bugs with detailed technical contextImprove documentation to reduce repeat issues and enable self-serve workflowsTranslate technical findings into clear explanations for non-technical stakeholdersWhat They’re Looking For2+ years of software engineering or support engineering experienceStrong SQL skills with the ability to analyze production dataWorking knowledge of JavaScript, and web APIsExperience working directly with customers in a technical capacityStrong analytical and problem-solving skillsAbility to clearly explain technical concepts in writingComfort working in ambiguous technical situationsNice to haveExperience with tools such as Retool, Django Admin, or similar admin toolingFamiliarity with Datadog, Airflow, Postgres, or BigQueryPython experienceExperience working with eCommerce or marketing analytics systemsWhy This Role Stands OutBackend-heavy technical support role, not surface-level troubleshootingDirect exposure to production data pipelines and real customer implementationsHigh ownership over data quality and resolutionClose collaboration with engineering teamsFast-growing company with strong product-market fit