Senior Support Engineer Referring a Candidate for a bounty? Please visit Refer a Dev to submit. -- If 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. This 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. The product has strong product-market fit and is scaling quickly. 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 Role You 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 Do - Act as the primary technical contact for support tickets and Slack escalations - Debug customer implementations involving tracking scripts, APIs, and data pipelines - Write and optimize SQL queries to investigate data discrepancies - Analyze logs and investigate backend issues - Own data quality issues from identification to resolution - Escalate reproducible product bugs with detailed technical context - Improve documentation to reduce repeat issues and enable self-serve workflows - Translate technical findings into clear explanations for non-technical stakeholders What They’re Looking For - 2+ years of software engineering or support engineering experience - Strong SQL skills with the ability to analyze production data - Working knowledge of JavaScript, and web APIs - Experience working directly with customers in a technical capacity - Strong analytical and problem-solving skills - Ability to clearly explain technical concepts in writing - Comfort working in ambiguous technical situations Nice to have: - Experience with tools such as Retool, Django Admin, or similar admin tooling - Familiarity with Datadog, Airflow, Postgres, or BigQuery - Python experience - Experience working with eCommerce or marketing analytics systems Why This Role Stands Out - Backend-heavy technical support role, not surface-level troubleshooting - Direct exposure to production data pipelines and real customer implementations - High ownership over data quality and resolution - Close collaboration with engineering teams - Fast-growing company with strong product-market fit If you enjoy solving real technical problems and want to work close to production systems and customer impact, this is a strong opportunity.\n\n