Software Engineer, Analytics

Teamwork makes the stream work.
Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.

From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.

About the Team 

The Advanced Development team invents the next generation of intelligent, generative, and data-driven systems at Roku. We work ahead of production, building prototypes that evolve into the foundations of future Roku products—including agentic LLM services, internal automation platforms, metadata pipelines, and the infrastructure that supports them. 

You'll join a small, high-ownership group working across backend systems, data engineering, LLM tooling, workflow orchestration, and internal developer platforms. It's a fast-paced, exploratory environment with a mandate to turn promising ideas into working software that delivers measurable value.

About the Role 

We're looking for a software engineer with an analytics background to help build our next-generation intelligent internal tools and data platforms. Your work will empower the organization to turn raw data into actionable intelligence through robust and secure internal tooling. 

In this role, you'll contribute to intelligent internal systems that help teams retrieve and analyze business metrics with speed and confidence. You'll work closely with LLM pipelines, metadata platforms, and SQL engines to build reliable, interpretable backend logic. You'll also collaborate with senior engineers to develop components for our internal tools ecosystem and define how internal APIs can be safely exposed to AI-driven workflows. 

What You'll Be Doing 

• Build Data-Driven Applications: Design and develop full-stack web applications ) that translate complex data analyses into interactive executive dashboards and decision-support tools. 
• Engineer AI & ML Solutions: Integrate LLMs, chatbots, and AI agents into product workflows to automate analytical tasks and extract insights from structured and unstructured data. 
• Develop Robust Data Infrastructure: Build and maintain scalable data pipelines, APIs, and microservices that power automation, data validation, and real-time reporting systems. 
• Drive Strategic Experimentation: Collaborate with stakeholders to align engineering initiatives with organizational goals, including designing and executing A/B tests to measure impact and drive product direction. 
• Cloud Deployment & Scaling: Deploy, scale, and monitor analytical tools and models on cloud infrastructure (AWS/GCP/Kubernetes) to ensure high availability and optimal performance. 
• Exploratory Analysis & Narrative: Perform exploratory data analysis on emerging trends and communicate technical insights to leadership, converting raw data into clear narratives that drive business consensus. 
• Engineering Best Practices: Participate in code reviews, contribute to architectural decisions, and maintain high software standards while developing internal tools that support cross-functional business needs. 

We're Excited if You Have 

• 2–5 years of backend or full-stack engineering experience, with strong programming skills in Python (Go, Java, or TypeScript also useful). 
• A degree in Computer Science, Statistics, Mathematics, Data Science, or a related technical field, or equivalent practical experience combining engineering and analytics. 
• Strong SQL skills and experience writing complex queries, understanding schemas, partitioning, and common analytics patterns. 
• Knowledge of statistics and analytical frameworks, including experience supporting or running A/B tests, hypothesis testing, and experimental design. 
• Experience building or consuming REST APIs, and basic familiarity with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker). 
• Ability to build prototypes quickly and iterate based on feedback, with a focus on turning analytical insights into working software. 
• Familiarity with data tools such as Jupyter notebooks, pandas, or similar data analysis libraries. 
• Curiosity about LLM infrastructure, including LangChain/LangGraph, RAG patterns, and vector search—or eagerness to learn about building systems that call LLMs in structured, deterministic ways. 
• Interest in metadata systems, data catalogs, or analytics platforms such as DataHub, DBT, or internal schema registries. 
• A collaborative, practical mindset, comfortable asking questions, learning from senior engineers, and reasoning about correctness, trust, and safety in AI-assisted systems. 
• Ability to thrive in exploratory environments where prototypes evolve quickly and requirements shift as we learn from users and the system. 

#LI-TP1
Our Hybrid Work Approach

Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.

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). Our employees can take time off work for vacation and other personal reasons to balance 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.

Accommodations

Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to

The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV. 

We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002. 

To learn more about Roku, our global footprint, and how we've grown, visit

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