SW 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.

The Advanced Development team invents the next generation of intelligent, generative, and data-driven systems  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.

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.

• Build Data-Driven Applications:
  Design and develop full-stack web applications (React/Node.js) 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.

• 2–5 years of backend or full-stack engineering experience, with strong programming skills in Python (Go, Java, or Type Script 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…