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Salary: USD 295,250 - 345,040 / annual
Roblox is seeking an Engineering Manager to lead the Data Tooling team, which builds shared tools, frameworks, and developer experiences that make data reliable, discoverable, governable, efficient, and easy to use across the company. The team's work spans data quality, lineage, metadata, ownership, observability, lifecycle management, optimization, and self-service workflows supporting Data Engineering, Data Science, Experimentation, Machine Learning, and product teams.
In this role, you will lead and grow a team of engineers through clear expectations, regular feedback, thoughtful hiring, and meaningful technical and career development. You will own and execute a roadmap for shared data tooling capabilities, set technical direction for platform features that turn data and operational signals into actionable workflows, dashboards, alerts, recommendations, and automated remediation. You'll improve the developer and user experience for discovering, validating, operating, and governing data products, and drive initiatives that reduce operational toil, improve data quality and freshness, shorten incident resolution time, and optimize compute and storage costs.
You will balance near-term customer impact with long-term platform foundations, create alignment across teams by communicating priorities and technical tradeoffs clearly, and build a culture of ownership, operational excellence, experimentation, and continuous improvement.
Roblox is a platform where tens of millions of people explore, create, play, learn, and connect in 3D immersive digital experiences. The company is building tools and infrastructure to empower a global community of developers and creators.
REQUIREMENTS:
- Experience managing, mentoring, or technically leading engineers, with demonstrated commitment to developing people and building high-performing teams
- Experience with data catalogs, lineage systems, data-quality frameworks, observability platforms, or metadata services
- Familiarity with agentic or AI-assisted workflows for data discovery, analysis, or platform operations
- Experience building or operating shared platforms and frameworks used by multiple teams (not one-off datasets or pipelines)
- Experience partnering with Data Science, experimentation, ML, product, or infrastructure teams to translate ambiguous requirements into durable technical solutions
- Strong product thinking: ability to identify high-leverage customer problems, prioritize across competing requests, drive adoption, and measure platform investment success
- Clear written and verbal communication, including ability to explain technical concepts and tradeoffs to both engineering and non-technical stakeholders
