Staff Software Engineer, Internal Tools

Tubi; Toronto; On-site; CAD 164,600 - 235,100; Full time

Benefits offered by this job

Flexible Time Off Policy

Generous Parental Leave Program

Monthly wellness reimbursement

Job summary

Tubi is seeking a Staff Engineer in Toronto, Canada, to steer the technical evolution of AI-centric business platforms focused on ad revenue operations. This role involves defining architectural patterns, implementing them in production, and tackling significant challenges associated with AI integration.

With a mission to make AI an operating capability, the successful candidate will have 8+ years of software engineering experience and a deep expertise in distributed systems. Tubi offers a competitive salary and numerous benefits.

Qualifications

• 8+ years of software engineering experience with end-to-end responsibility.
• Deep expertise in distributed systems and fault tolerance.
• Strong full-stack engineering fundamentals.

Responsibilities

• Define and drive the technical architecture of the AI platform.
• Own the platform’s complex subsystems and design problems.
• Mature AI systems from early-stage to production-grade.

Skills

Distributed systems design

Fault tolerance

Node.js

TypeScript

React

PostgreSQL

OpenAI API

Google Gemini API

Education

Bachelor's degree in Computer Science or related field

Job description

About the Role

We are looking for a Staff Engineer to steer the technical evolution of our AI‑centric business platforms, which currently prioritize ad revenue operations such as cross‑system intelligence, workflow automation, and document understanding. While the domain already supports live production traffic and active users, significant architectural challenges remain: how can non‑deterministic AI be effectively integrated into workflows where business outcomes depend on high accuracy? Furthermore, how should system boundaries be structured during this phase of rapid platform integration and development? In this role, you will confront this ambiguity head‑on—defining architectural patterns, implementing them in production, and validating their effectiveness.

About the Team

Tubi’s Internal Tools team is at the forefront of AI integration, developing everything from developer resources to production‑grade AI for business operations. We are the group responsible for turning AI from an experiment into an operating capability: training, infrastructure, developer agents, and AI‑powered business systems. Engineers operate with high ownership and autonomy, collaborating on shared architectural decisions and AI infrastructure.

What You’ll Do

• Define and drive the technical architecture of the AI platform—spanning extraction pipelines, confidence scoring, cross‑system data aggregation, and user‑facing intelligence layers. Ensure systems are modular, testable, and evolvable.
• Own the platform’s most complex subsystems and hardest design problems: reliability under non‑determinism, integration across heterogeneous data sources, and progressive automation with appropriate human‑in‑loop gates.
• Establish clear system boundaries and integration contracts with adjacent platforms. Design interfaces that are resilient to schema evolution and organizational change.
• Ship consistently. Turn ambiguous requirements into working software that users see and trust. Bias toward iteration and measurable progress over extended design phases.
• Mature the platform’s AI systems from early‑stage to production‑grade: systematic validation, feedback loops that improve accuracy over time, and principled cost management.
• Raise the engineering bar through code review, design discussions, and pairing. Provide clear technical analysis when leadership needs to understand trade‑offs, feasibility, or risk.

Core Qualifications

• 8+ years of software engineering experience, with demonstrated ability to own and deliver complex systems end‑to‑end—from design through production operation.
• Deep expertise in distributed systems design, fault tolerance, and building reliable systems from unreliable components.
• Strong full‑stack engineering fundamentals. Our stack: Node.js/TypeScript (backend, Express), React/TypeScript (frontend), PostgreSQL with Drizzle ORM, Python for ML pipeline components, OpenAI and Google Gemini APIs.
• Demonstrated bias toward shipping. Track record of turning ambiguous problems into working systems on a reasonable timeline—not just designs or proposals.
• Good technical judgment under uncertainty. Pragmatic trade‑offs, knowing when "good enough" is right, and not over‑engineering when the problem doesn’t call for it.

Preferred Qualifications

• Experience designing systems that handle non‑deterministic or probabilistic outputs (ML models, LLM pipelines, or similar) with appropriate confidence scoring and fallback strategies.
• Familiarity with LLM application patterns: prompt engineering, multi‑model orchestration, agentic tool use, and cost optimization for high‑volume LLM workloads.
• Experience with document AI or structured data extraction from unstructured sources (documents, image, natural language) at scale.
• Background in ad tech, revenue operations, or media operations—order management, pricing logic, deal lifecycle.
• Experience building over heterogeneous enterprise data sources with varying freshness, schemas, and access patterns.

The AI Mandate

• Trust Engineering: Building systems where human operators can progressively delegate to AI—and where the blast radius is contained when AI is wrong.
• AI as Leverage: Thinking about AI as a force multiplier for a small team. The systems you build should measurably expand what the team can accomplish.
• Cost Discipline: Treating AI spend as an engineering problem—optimizing for accuracy per dollar, not just accuracy alone.
• Pragmatic Adoption: Evaluating new capabilities with a builder’s eye—what to use now, what’s hype, what to wait for.

Compensation and 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 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

Benefits Summary

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.

About Tubi

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.