Software Engineer, Customer Studio Backend

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

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.