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Senior Engineering Manager (Ads Data Platform)

Roblox

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