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The role involves owning and scaling backend systems while optimizing data warehouse performance and analytics capabilities. You will collaborate with product and design teams to translate customer feedback into robust, maintainable backend solutions.
Join the backend engineering team at a data activation and marketing technology company, building core tools that help customers turn warehouse data into useful audience insights and actions. This role focuses on reliable, scalable systems and close collaboration with product and design to deliver features that address real customer needs.
Own backend systems, improving their scalability, reliability, and maintainability.
Optimize data warehouse performance through query improvements and precomputed state.
Build analytics and experimentation capabilities for creating audience segments and measuring their performance.
Develop real-time audience syncing using change data capture and streaming approaches.
Work with product and design to turn specifications and customer feedback into robust backend solutions.
Shape system architecture, balancing performance, simplicity, and long-term maintainability.
Six to fifteen years of backend engineering experience, including substantial experience designing and building large-scale systems.
Strong computer science fundamentals and demonstrated systems design skills, including an understanding of large-scale data processing.
Experience in high-growth startup environments, ideally through Series B to Series E stages, as well as experience at established companies.
A background in SaaS, data activation, analytics, or data tooling.
A product-minded approach to backend engineering, with comfort speaking with users and iterating based on feedback.
A primarily backend engineering focus, rather than a focus on full-stack, data engineering, or DevOps work.
Clear communication skills, a record of career progression, and an ability to learn new technical areas quickly.
Annual salary range: $180,000 to $320,000 USD. Visa sponsorship is not available.
Remote within the United States.
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