Tubi - Canada
Staff Software Engineer, Growth
Toronto, Canada (Hybrid) · Staff+ · Full-time
Sponsorship not specified$165k-$235kDetected 26 days ago
JavaScriptTypeScriptReactHTMLCSSReduxNode.jsCode ReviewGitTerraformGitHub ActionsData ScienceSEOManual TestingMentoring
About the role
- 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.
- This is a hybrid role based out of our Toronto office.
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.
- 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.
- 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.
- 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.
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
- You must be willing to travel to our Toronto office two days/week.
Skills
- Mentor multiple engineers, providing structured guidance to foster both technical and professional growth.
- Set the bar for how front-end engineers harness AI to prototype faster and ship interfaces at scale.
Compensation
- Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below.
Benefits
- For all salaried employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time Off Policy to manage all personal matters.
- For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.
- Tubi Media Group is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of employee benefits.
- Pursuant to local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is as listed annually below.
Company info
- Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users.
- Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans.
- Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.
- We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law.
- We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Apply directly at Tubi - Canada →Create a free account for alerts like thisView Tubi - Canada immigration profile
This listing is sourced directly from Tubi - Canada's careers page and normalized into a canonical job model.