R
Roku
Senior Engineering Manager (Content Platform)
Skills
SQL QueriesData EngineeringPythonJavaCockroachdbMachine LearningAIScala
2 months ago
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Important information
Contract type:
Permanent
Salary:
$328,500 – $451,600 / year
Location:
San Jose, CA, USA
Work mode:
Onsite
Published on:
29 August 2026
What they need
- We are seeking a highly technical, strategic Senior Engineering Manager to lead our Core Content Platform team
- In this role, you will define the technical vision and drive the execution of a highly scalable, cloud-agnostic data abstraction layer
- You will lead a distributed organization of senior engineers to transition legacy services into a unified, next-generation data platform that natively integrates machine learning and AI capabilities
- This is a high-impact leadership position requiring a deep background in distributed systems, real-time data pipelines, and organizational scaling
- Technical Vision & Strategy: Drive the architectural roadmap for the platform, ensuring the team builds scalable, highly available, and cloud-agnostic data systems
- Engineering Execution: Oversee the design and deployment of real-time streaming pipelines and distributed data architecture (utilizing tools like Scala 3, Apache Flink, and distributed SQL databases such as CockroachDB)
- Team Leadership: Manage, mentor, and scale a high-performing engineering organization, fostering a culture of technical excellence across US-based and global teams
- Operational Excellence: Own the reliability, performance, and technical debt management of the data platform, ensuring high uptime and seamless delivery to internal and external partners
Benefits
- Medical, wellness and financial benefits
- Free snacks and access to the company fitness center
- Unlimited paid time off policy
- Work from home opportunities- Deep expertise in building real-time data pipelines and large-scale data infrastructure
- Demonstrated ability to drive large-scale architectural migrations and manage complex technical debt.ML/AI Experience: Hands-on experience developing or managing GenAI-driven platforms, or natively integrating machine learning pipelines into core data services
- Strong proficiency in modern backend and data engineering languages/frameworks (e.g., Scala, Java, Python) and streaming technologies
- Domain experience in digital media, content platforms, or large-scale consumer applications
- Experience with cloud-agnostic architectures and managing multi-cloud or hybrid deployments
- 7+ years of direct engineering management experience, with a proven track record of recruiting, leading, and retaining senior-level talent and managing distributed teams
- 10+ years of hands-on experience in data engineering, backend architecture, and building highly scalable, distributed data platforms
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