Staff Software Engineer, Growth

Tubi - Canada•Toronto, ON

1d•CA$164,600 - CA$235,100•Hybrid

About The Position

The Growth team is responsible for building and optimizing the UI/UX across all Web and OTT applications at Tubi. The team primarily focuses on implementing features related to full funnel user acquisition and growth, including SEO user registration, onboarding, and account management. As a Staff Engineer (L5) on this team, you act as the technical leader for one or more Growth areas. You own the technical architecture and direction, solve ambiguous problems that few others can, and influence cross-functional teams across multiple pods. You will work closely with Product and Design to develop cutting-edge, experiment-driven features, while driving the front-end architecture that ensures performance and scalability for millions of users. You will be working with React, Node.js, GitHub Actions, Terraform, and CDN infrastructure to build and deploy high-performance applications that reach millions of users. This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days/week.

Requirements

Master’s or Bachelor’s degree from an accredited university, or equivalent work experience
8+ years of experience developing high performing and scalable web applications using React JS, Redux, JavaScript, Web APIs, HTML5/CSS, and Typescript
Experience leading engineering initiatives and effectively communicating with cross functional stakeholders
Experience mentoring senior and mid level engineers

Nice To Haves

AI-Integrated Development Practice

Responsibilities

Own the technical roadmap and architecture for a Growth area with large amounts of ambiguity: driving direction across web, mobile web, and smart TV platforms, and influencing the team to invest in new projects.
Solve challenging, ambiguous problems with a focus on scalability and performance; proactively identify systemic issues and propose innovative solutions.
Lead and drive innovation in building experiment-driven features; independently design, implement, and interpret a series of A/B experiments that move growth metrics.
Lead and coordinate major rollouts and releases: including cross-team coordination, migrations, and phased releases of major initiatives across Web and OTT apps.
Establish team-wide quality and engineering standards; set the bar for code quality and front-end best practices.
Identify and implement improvements in shared UI components, platform-specific optimizations, and overall front-end infrastructure.
Influence and align cross-functional teams across multiple pods/domains (Backend, Product, Data Science, Design, UXR) toward a common objective.
Mentor multiple engineers, providing structured guidance to foster both technical and professional growth.
Stay up-to-date with the latest web development trends and technologies, lead their adoption on the team, and evaluate their potential impact on the product.
At the Staff level, AI is a core part of how you drive impact at organizational scale. You are expected to lead the adoption of leading-edge AI across the engineering org, set the standard others follow, and deliver measurable gains in velocity and quality. You own strategic AI adoption end-to-end: evaluating new tools, embedding them into team workflows, quantifying their impact, and continuously raising the bar. This includes but is not limited to:
Drive strategic AI adoption beyond your own team: establish internal best practices, define standards and best practice for responsible and effective AI use across code, data, and product workflows, and ensure usage aligns with security, privacy, and compliance policies. Quantify the impact of AI-assisted workflows through productivity and quality metrics, and use that data to push broader adoption across the org.
Lead the adoption and integration of cutting edge AI tools and agentic workflows (Claude Code, Cursor, etc.) across the SDLC, from design-doc drafting and structured prompt templates to AI-driven code generation, review, and release. Set the bar for how front-end engineers harness AI to prototype faster and ship interfaces at scale.
Build and champion internal front-end tooling and platforms that multiply every engineer's impact: automated visual regression testing, design-to-code translation, intelligent component documentation, and real-time performance insights. Create frameworks and templates that let the whole org safely and effectively harness AI.
Prototype and integrate AI-powered optimizations that improve Core Web Vitals, reduce bundle size, and enhance runtime efficiency across large-scale, user-facing applications spanning web, mobile web, and smart TV.
Mentor engineers across the org on prompt engineering, AI-assisted development, and review strategies. Continuously improve the code review process for AI-assisted/generated PRs, and evolve Tubi's front-end engineering culture into a true AI-native practice.