About the role

Roku is seeking a Senior AI Transformation Engineer to join the AI Enablement Team and drive end-to-end delivery of agentic AI systems that measurably transform how work gets done across Roku. In this role, you will embed directly with business and technical teams - including Legal, FP&A, Accounting, Brand, Customer Support, and Engineering - to discover the highest-value opportunities for AI-powered automation and deliver production-grade solutions. You will own the full lifecycle from opportunity identification and scoping through system design, build, deployment, and adoption, operating as a self-directed contributor who thrives in ambiguity and can navigate complex organizational dynamics. This is a hands-on builder role that requires strong software engineering fundamentals, deep AI expertise, and a product-oriented mindset focused on adoption and measurable business impact, not demos. You will go beyond point solutions to reimagine how entire functions operate as AI-native, agent-powered systems, and you will codify reusable patterns back into Roku's broader AI platform strategy. The ideal candidate brings technical depth, cross-functional collaboration skills, and the ability to drive change management that ensures the solutions you build are trusted and actively used.

For California Only - The estimated annual base salary for this position is between $242,200 - $486,000. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

How will I use AI at Roku?

At Roku, we don't just use AI; we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact.

We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.

What are the responsibilities of the role?

• Drive AI deployments from discovery and scoping through system design, build, and production rollout, owning the outcome end to end
• Embed directly with business and technical teams to diagnose real problems, often before they are clearly articulated, and identify the highest-value opportunities for agentic automation
• Prepare clear scopes of work and pragmatic project plans for both 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's 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 the teams you serve, iterating on real 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 back into Roku's broader AI platform strategy to strengthen shared capabilities and frameworks

We're Excited If You Have

• 5+ years of software engineering, full-stack engineering, or technical deployment experience with a track record of shipping production systems
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• Strong software engineering fundamentals with the ability to write and ship production-grade code (e.g., Python and/or JavaScript/TypeScript)
• Hands-on experience building or deploying systems powered by LLMs, generative models, or agentic frameworks
• Demonstrated ability to thrive in ambiguity, decomposing open-ended problems into workstreams and making sound trade-offs under pressure
• Proven experience working directly with non-technical teams and stakeholders, translating business needs into technical solutions and communicating clearly to executive audiences
• A track record of building solutions that achieve adoption and measurable impact
• 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
• Experience with modern AI engineering patterns such as RAG, prompt engineering, agent orchestration, tool-use, human-in-the-loop controls, model evaluation, and MLOps/LLMOps
• Familiarity with cloud platforms (AWS, Azure, or GCP), containerization (Docker/Kubernetes), and CI/CD practices
• Experience with modern data architectures and relational databases

#LI-BD1

What's Roku's approach to hybrid working?

Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.

What are some of the benefits?

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.