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:
- Org-Level AI Impact & Adoption: 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.
- Leading-Edge AI Implementation: 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.
- AI-Powered Internal Tooling: 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.
- AI-Driven Performance Optimization: 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.
- Mentorship & Continuous Improvement: 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.
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.
This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, vacation/paid time off and other benefits in accordance with applicable plan documents.
Toronto, Canada
$164,600—$235,100 CAD
Tubi Media Group is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of employee benefits. The following distinctions below outline the differences between the Tubi and FOX 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, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave (top up in Canada) within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy (if applicable). This time is 100% paid through a combination of any applicable government leaves and wage-replacement programs in addition to contributions made by Tubi.
For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.