Senior Engineering Manager (Ads Data Platform)
- San Mateo, United States
- Lead/Staff
- 8+ years
- Posted
Skills
Required
- data pipelines
- software engineering
- data privacy principles and regulations
- GDPR
- CCPA / CPRA
- COPPA
- building privacy-safe systems
- identity resolution / ad measurement/attribution / audience targeting/segmentation / feature/data pipelines
- ML
- streaming/batch processing
Preferred
- system design
- data correctness
Join Roblox as a Senior Engineering Manager for the Ads Data Platform. In this hands-on leadership role, you will lead a team of engineers to build the systems that turn raw signal into actionable data across multiple domains. You will set technical direction, grow a high-performing team, and partner closely with product, data science, privacy/legal, and the broader Ads organization. You will also champion privacy-by-design and responsible data handling in every system your team builds.
Lead a team of engineers to build systems that turn raw signal into trustworthy, privacy-safe, actionable data across multiple domains.
Set technical direction, grow a high-performing team, and partner closely with product, data science, privacy/legal, and the broader Ads organization.
USD 345,040 - 399,420
Responsibilities
- Raise the bar on engineering quality across system design, data correctness, reliability, and operational excellence for systems that run continuously at massive scale.
Requirements
- 8+ years in software engineering with 3+ years managing engineers, including hiring and performance management
- Working knowledge of data privacy principles and regulations (e.g., GDPR, CCPA/CPRA, COPPA) and a genuine commitment to building privacy-safe systems
- Strong foundation in at least one of: identity resolution, ad measurement/attribution, audience targeting/segmentation, or feature/data pipelines for ML
Excellent cross-functional collaboration and communication skills
- Demonstrated ability to set technical direction and successfully lead teams through ambiguity
- Experience delivering large-scale distributed data systems, data pipelines, streaming/batch processing, and data stores handling high volume and low latency
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