Senior Engineering Manager, Ads Data Platform

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 were 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. Were 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 youll 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.

Were building the data foundation that makes advertising on Roblox possible. As a Senior Engineering Manager youll lead a team of engineers building the systems that turn raw signal into trustworthy privacy-safe actionable data across five connected domains: core data infrastructure identity measurement audience targeting and feature engineering for ML.

This is a hands-on leadership role at the center of our monetization strategy. Your teams work determines whether advertisers can reach the right audiences prove positive ROI and trust the numbers we report all while upholding the privacy and safety standards our platform is known for. Youll set technical direction grow a high-performing team and partner closely with product data science privacy/legal and the broader Ads organization.

• Build and lead a team of high-caliber software engineers. Youll be responsible for hiring performance management career development and fostering an inclusive high-output team culture.
• Set and communicate a multi-quarter technical roadmap across core data identity measurement targeting and the ML feature platform and make the prioritization and buy-vs-build calls that keep the team focused on the highest-leverage work.
• Partner with product management data science ML engineering privacy/legal and adjacent Ads and Data Platform teams to translate business goals into a coherent well-sequenced engineering plan.
• Raise the bar on engineering quality across system design data correctness reliability (SLAs/SLOs) and operational excellence for systems that run continuously at massive scale.
• Champion privacy-by-design and responsible data handling as a first-class requirement not an afterthought in every system your team builds.
• Represent your teams work and trade-offs to senior leadership and communicate technical risk and progress clearly to both technical and non-technical audiences.

• 8 years in software engineering with 3 years managing engineers including hiring and performance management.
• Experience delivering large-scale distributed data systems data pipelines streaming/batch processing and data stores handling high volume and low latency.
• Strong foundation in at least one of: identity resolution ad measurement/attribution audience targeting/segmentation or feature/data pipelines for ML.
• Demonstrated ability to set technical direction and successfully lead teams through ambiguity
• Excellent cross-functional collaboration and communication skills
• Working knowledge of data privacy principles and regulations (e.g. GDPR CCPA/CPRA COPPA) and a genuine commitment to building privacy-safe systems.