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Senior Engineering Manager, AI Platform (Data Team) at Roblox
RobloxSan Mateo, CA, United States·13h ago
SeniorFull-timeAWSGCPAzureMachine LearningGitAI
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Senior Engineering Manager for the AI Platform, Data team at Roblox. This role involves leading the development of a high-leverage data platform used by AI engineers, machine learning scientists, and product developers.
Key Responsibilities
- →Lead and grow a high-performing team of software engineers, fostering a culture of ownership, collaboration, and engineering excellence.
- →Define the roadmap, strategy, and execution plan for the AI Platform's Feature Engineering and the GenAI Platforms.
- →Collaborate with AI engineering, machine learning science, and product teams to understand their data needs and deliver platform capabilities.
- →Drive architectural decisions and set technical standards for reliability, scalability, and performance.
- →Oversee the end-to-end development life cycle, ensuring timely delivery of high-quality, robust data solutions.
- →Mentor and coach team members, providing continuous feedback and career development guidance.
- →Manage cross-functional projects and communicate progress, risks, and challenges to leadership and stakeholders.
Requirements
- ✓A seasoned engineering leader with 5+ years of management experience and 8+ years of experience building large-scale, high-performance data platforms, machine learning infrastructure, or distributed systems.
- ✓Experienced in hiring, managing, and mentoring senior software engineers and technical leaders.
- ✓Deeply knowledgeable about data technologies (e.g., Spark, Hadoop, Flink, Kafka, distributed databases, data warehousing) and best practices for large-scale data processing and storage.
- ✓Skilled at driving technical strategy and roadmap planning in ambiguous and fast-paced environments.
- ✓Able to establish strong, collaborative relationships with cross-functional partners and senior leadership.
- ✓Passionate about fostering a positive, inclusive, and high-energy engineering culture.
- ✓Knowledgeable in the machine learning life cycle (MLOps) and the data requirements for training, serving, and monitoring models.
- ✓A strong communicator, both written and verbal, capable of articulating complex technical concepts to a diverse audience.
Benefits
- ★Equity compensation
- ★Benefits as described on this page
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