Senior Software Engineer, Growth Marketing (Ads)

RobloxSan Mateo, CA
1dHybrid

About The Position

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. We are building the Growth Engine of Roblox. The MarTech Engineering team is transforming Roblox from manual, ad-hoc marketing operations to a sophisticated, engineering-led automated ecosystem. We are responsible for the foundational infrastructure that powers user acquisition, retention, and re-engagement at a massive global scale. This is a founding team opportunity. We are looking for engineers who want to work at the intersection of high-scale distributed systems, big data, and ML/AI to drive the future of our growth. You will help architect and build the next generation of our Customer Data Platform (CDP), Signal Engineering pipelines, Creative Automation, Campaign Automation, and Growth Experimentation - ensuring that we can efficiently connect the right users with the right content across Mobile, PC, Console, and Web.

Requirements

  • Experience: 3+ years of professional software engineering experience, with a track record of delivering high-quality production code in a team environment.
  • Backend Proficiency: Strong coding skills in at least one modern language (e.g., Python, Go, Java, or C#) and experience building scalable microservices or distributed systems.
  • Data Engineering Expertise: Experience working with modern data stacks and big data processing tools (e.g., Spark, Airflow, Kafka, Flink, or similar). Familiarity with data warehousing concepts is a strong plus.
  • System Design Skills: The ability to design systems that are fault-tolerant, high-throughput, and easy to maintain. You understand the trade-offs between consistency, availability, and latency.
  • Curiosity & Drive: A willingness to dive into new domains. While experience in AdTech/MarTech is a plus, a passion for building "Growth Engineering" infrastructure and learning new technologies is most important.
  • Education: Bachelor's degree (or equivalent professional experience) in Computer Science or a related engineering field.

Responsibilities

  • Enable Campaign Automation: Architect systems to programmatically manage ad trafficking, budget allocation, and bid optimization across major ad networks, replacing manual workflows with intelligent, API-driven automation.
  • Automate Creative Workflows: Develop the "Creative Factory"—an AI-driven engine to automatically generate, render, and localize personalized video ads and creative assets.
  • Drive Signal Engineering: Build robust Server-Side Tracking (SST) and Conversion API (CAPI) integrations to ensure data sovereignty and signal resilience in a privacy-first world. Your integrations will provide the critical signals needed to drive better performance for our growth marketing ad campaigns.
  • Build the Data Foundation: Design and implement high-performance data pipelines (using Spark, Airflow, Druid) to unify user data into a single Identity Graph. This system will serve as the "Source of Truth" for all marketing activation, enabling a unified view of users across devices.
  • Engineer Experimentation & Measurement: Build the infrastructure for advanced causal measurement, including Geo-Lift testing and Marketing Mix Modeling (MMM), allowing us to measure the true incrementality of our spend beyond last-click attribution.
  • Collaborate Cross-Functionally: Partner closely with Data Science, Product, and Growth Marketing teams to translate complex business requirements into scalable engineering solutions that manage millions of dollars in marketing spend.
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