Senior AI Transformation Engineer, Roku
$242.2-486k
+ Equity
More information about location
4-5 days a week in office (San Jose, CA)
Convenient & affordable TV streaming players
Be an early applicant
Convenient & affordable TV streaming players
1001+ employees
Be an early applicant
$242.2-486k
+ Equity
More information about location
4-5 days a week in office (San Jose, CA)
1001+ employees
Company mission
To provide its users with a more convenient and cost effective way of watching the programs they love.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
According to Nielsen data, the average streamer spends over seven minutes searching for something to watch. Streaming services use customers' viewing history to make suggestions, but these are limited to programs licensed for that particular service.
Roku provides an integrated streaming service that offers TV channels, movies and third-party streaming services, resulting in an all-in-one streaming platform. The service can be accessed through a variety of customized subscription packages and fees.
Roku stands out in the streaming industry by bringing many competitors together in one package. The startup provides further innovative services such as a weekly TV series named 'Roku Recommends' which uses first-party data to recommend essential viewing to users.
Alongside funding filmmakers through its "Change Makers Program", Roku also acquired its own original library of shows through its acquisition of now-defunct Quibi's library. Then, after successful collaborations with TCL and Hisense, the first in-house "Roku Television" was released. In 2026, it was announced that media giant FOX would acquire Roku, which the companies say will create the third largest player in US TV by share of viewing.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-6% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Jan 2016
$45.5m
LATE VC
Nov 2015
$45.5m
SERIES H
Total funding: $247.8m
Company benefits
- Medical, wellness and financial benefits
- Unlimited paid time off policy
- Work from home opportunities
- Free snacks and access to the company fitness center
Company HQ
Newhall, San Jose, CA
Leadership
Anthony Wood
(Founder & CEO)Studied Engineering at Texas A&M before founding their first company in 1986. They held VP roles at both Adobe and Netflix.
Salary benchmarks
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