R

Roku

Streaming hardware and ad-supported content

Senior AI Transformation Engineer

AI Application EngineeringPosted on Nov 11
Full-timeAustin, TX, USA$242.2k - $486k /yr

About the Job

Requirements

  • At least 5 years of software engineering, full-stack engineering, or technical deployment experience, with a track record of shipping production systems.
  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Strong software engineering fundamentals and the ability to write and ship production-grade code using Python and/or JavaScript/TypeScript.
  • Hands-on experience building or deploying systems powered by large language models, generative models, or agentic frameworks.
  • Experience working directly with non-technical teams and stakeholders, translating business needs into technical solutions and communicating clearly to executive audiences.
  • Experience building solutions that achieve adoption and measurable impact.
  • Experience with modern AI engineering patterns such as retrieval-augmented generation, prompt engineering, agent orchestration, tool use, human-in-the-loop controls, model evaluation, and MLOps/LLMOps.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP; containerization with Docker or Kubernetes; and CI/CD practices.
  • Experience with modern data architectures and relational databases.

Responsibilities

  • Drive AI deployments from discovery and scoping through system design, build, and production rollout, owning outcomes end to end.
  • Embed directly with business and technical teams to diagnose real problems, including problems that are not clearly articulated, and identify high-value opportunities for agentic automation.
  • Prepare clear scopes of work and pragmatic project plans for prototypes and full production deployments, making real-time trade-offs on scope, priority, and quality.
  • Design, build, test, and deploy production-grade agentic AI applications and integrations, moving from prototype to live system in short cycles.
  • Reimagine how entire functions operate as AI-native, agent-powered systems, going beyond individual task automation.
  • Connect solutions to Roku data platforms, internal systems, and enterprise APIs, working across complex and disparate data sources, pipelines, and metric layers.
  • Lead onboarding, enablement, and change management for supported teams, iterating on user feedback until solutions are trusted and actively used.
  • Define and track success through production adoption, workflow impact, and measurable business value.
  • Collaborate with embedded AI Ambassadors, mentor teammates, and flex across functions, domains, and initiatives as priorities evolve.
  • Codify reusable patterns and field learnings into Roku's broader AI platform strategy to strengthen shared capabilities and frameworks.

Desired Qualifications

  • Strong product sense and a bias toward outcomes over output.
  • High autonomy and ownership, with the ability to drive decisions and deliver independently in fast-moving environments.
  • Ability to thrive in ambiguity, decompose open-ended problems into workstreams, and make sound trade-offs under pressure.

About the Company

Roku

Streaming hardware and ad-supported content

Roku provides a streaming entertainment ecosystem built around hardware devices (Roku TVs, streaming players, smart home gear, and audio gear) and a purpose-built operating system. Its devices run the Roku OS to deliver apps and streaming content to televisions. The Roku Channel offers free, ad-supported content and Roku Originals are exclusive programs produced in-house, bundled with advertising revenue and content distribution. The business model blends hardware sales, advertising, and distribution of content through its platform. Roku differentiates itself by offering a wide range of affordable devices, a centralized ad-supported free channel, and in-house originals, creating an integrated yet open platform for apps and content. The company’s goal is to grow a large, easy-to-use streaming ecosystem that combines hardware, software, and content to reach many households and monetize through device sales, ads, and distribution deals.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Jose, CA
Founded
2002

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