Senior Engineering Manager, Content Platform
About the role
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.
Responsibilities
- Drive the architectural roadmap for the platform, ensuring the team builds scalable, highly available, and cloud-agnostic data systems
- 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)
- Manage, mentor, and scale a high-performing engineering organization, fostering a culture of technical excellence across US-based and global teams
- Own the reliability, performance, and technical debt management of the data platform, ensuring high uptime and seamless delivery to internal and external partners
Requirements
- 10+ years of hands-on experience in data engineering, backend architecture, and building highly scalable, distributed data platforms
- 7+ years of direct engineering management experience, with a proven track record of recruiting, leading, and retaining senior-level talent and managing distributed teams
- Deep expertise in building real-time data pipelines and large-scale data infrastructure
- Strong proficiency in modern backend and data engineering languages/frameworks (e.g., Scala, Java, Python) and streaming technologies
- Demonstrated ability to drive large-scale architectural migrations and manage complex technical debt
- Hands-on experience developing or managing GenAI-driven platforms, or natively integrating machine learning pipelines into core data services
- Experience with cloud-agnostic architectures and managing multi-cloud or hybrid deployments
- Domain experience in digital media, content platforms, or large-scale consumer applications
Qualifications
- Hands-on experience with distributed systems, real-time data pipelines, and cloud-agnostic data infrastructure
- Experience with Scala, Java, Python, and streaming technologies
- Experience with distributed SQL databases like CockroachDB
- Experience with cloud-agnostic architectures and managing multi-cloud or hybrid deployments
- Experience with real-time data pipelines and large-scale data infrastructure
- Experience with machine learning and AI
Skills
- Leadership and management skills
- Technical vision and strategy
- Experience with cloud-agnostic architectures and managing multi-cloud or hybrid deployments
- Experience with distributed systems, real-time data pipelines, and cloud-agnostic data infrastructure
- Experience with Scala, Java, Python, and streaming technologies
- Experience with distributed SQL databases like CockroachDB
- Experience with machine learning and AI
Benefits
- Health insurance
- Equity awards
- Life insurance
- Disability benefits
- Parental leave
- Wellness benefits
- Paid time off
Pay
The estimated annual salary for this position is between $328,500 - $451,600 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.
Schedule
Roku offers a hybrid work approach where employees work in the office Monday through Thursday and have flexibility for remote work on Fridays, except for those whose roles require being in the office five days a week or employees in offices with a five-day in-office policy.