Software Engineer, Customer Studio Backend

Accountabilities: Design, build, and evolve robust backend systems and distributed architectures supporting customer-facing data activation workflows. Improve data warehouse performance and interactivity through query optimization, pre-computed state, and warehouse-specific technical enhancements. Develop analytics and experimentation capabilities that enable customers to create segments and measure audience performance across downstream destinations. Help advance real-time audience computation and synchronization as modern warehouses adopt change data capture (CDC) and real-time technologies. Explore and implement generative AI capabilities that make working with and activating customer data more seamless. Translate product specifications and user feedback into scalable backend solutions, balancing technical quality with customer needs. Engage directly with users when appropriate to understand problems, validate solutions, and improve the product experience. Contribute to architectural decisions, reliability improvements, and the evolution of backend and distributed systems. Mentor engineers and provide technical leadership, with potential opportunities to progress into people management over time. Requirements 6–15 years of professional backend engineering experience, including substantial experience designing backend systems in high-growth startup environments, particularly Series B–E companies. Demonstrated staff-level scope, ownership, and technical impact, with a history of taking on increasing responsibility quickly. Very strong systems design and distributed systems fundamentals. Strong backend engineering focus, with experience centered on backend systems rather than primarily full-stack development, data engineering, or DevOps. A product-oriented mindset, with the ability to design technical solutions around user needs and incorporate direct customer feedback. Experience working with data warehouses, SQL, large-scale data processing, or related data-intensive systems. Strong communication skills and the ability to collaborate effectively across engineering and product functions. Ability to learn quickly, operate independently, and navigate complex technical challenges in a fast-paced environment. Bachelor’s degree in computer science, mathematics, electrical engineering, or a related discipline from a strong academic program. Familiarity with change data capture, real-time data architectures, or large-scale data processing systems is a plus. Benefits Base compensation of $180,000–$320,000 , depending on relevant factors. Meaningful ISO equity with early-exercise availability and a 10-year exercise window. Remote work opportunity within the United States or Canada, with an option to work from San Francisco. Full-time employment in a technically challenging, product-focused engineering environment. Opportunities to work on distributed systems, data warehouses, real-time data infrastructure, experimentation, and generative AI. Opportunities for technical mentorship and potential progression into engineering management. Visa transfers available for eligible candidates, including OPT and H-1B transfers. Interview process consisting of a recruiter screen, hiring manager interview, system design screen, and extended system design interview.