Staff Software Engineer - Growth

Responsibilities

• Own the architecture and delivery of scalable backend systems supporting acquisition, activation, conversion, retention, and expansion.
• Design and evolve high-throughput, low-latency, highly available distributed systems, including microservices, event-driven architectures, experimentation platforms, and data pipelines.
• Transform customer, product, lifecycle, behavioral, and intent signals into data products, decision systems, personalized journeys, and next-best actions.
• Partner with Product, Data Science, Frontend, Design, Marketing, and Engineering teams to deliver secure and measurable technical solutions.
• Lead architectural reviews, code reviews, mentoring, observability, resilient service design, and engineering standards.
• Build experimentation, feature-flag, performance-monitoring, and AI-native growth foundations while protecting customer data and meeting regulatory expectations.
• Drive complex initiatives from problem definition through production operation with substantial autonomy.

Requirements

• Significant experience designing, building, and operating production backend systems with ownership from technical design through ongoing improvement.
• Deep understanding of computer science fundamentals, object-oriented programming, distributed systems, domain-driven design, and event-driven architectures.
• Strong experience building high-throughput, low-latency, highly available services and systems.
• Strong proficiency in Java, Kotlin, or a comparable backend language.
• Experience with continuous integration, automated testing, code review, and quality engineering.
• Experience with cloud infrastructure and containerized deployments such as GCP or AWS, Docker, and Kubernetes.
• Experience with observability and production operations using tools such as Splunk, Grafana, or Prometheus.
• Track record of leading ambiguous, cross-functional technical initiatives and delivering measurable outcomes.
• Strong communication and collaboration skills.
• Preferred experience with JVM development using Java or Kotlin and Spring or Spring Boot.
• Preferred experience with experimentation platforms, feature-flag systems, growth infrastructure, customer segmentation, analytics products, data warehousing, event pipelines, lifecycle systems, or analytics tooling.
• Experience with go-to-market or growth operations problems, AI or large language model products, or fintech, payments, or regulated environments is preferred.

Benefits

• The role is based in Seattle and requires working from the office three days per week.