Senior Engineering Manager, Ads Data Platform

We're building the data foundation that makes advertising on Roblox possible. As a Senior Engineering Manager you'll 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 team's 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. You'll 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. You'll 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 team's 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.