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Senior Engineering Manager (Content Platform)

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Onsite

Senior Engineering Manager (Content Platform)

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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