Staff Software Engineer, Internal Tools

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-ondefining architectural patterns implementing them in production and validating their effectiveness.

About the Team:

Tubis 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 Youll 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 platforms 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 platforms 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.

Your Background:

Core Qualifications (Must-Haves)

• 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: (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 doesnt call for it.

Preferred Qualifications (Nice-to-Haves)

• 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

Tubi expects engineers at all levels to leverage AI tools (Claude Code Codex Cursor MCP integrations) to accelerate delivery testing and documentation. For this role specifically AI goes further it is not a feature on this platform but the reason the platform exists. You dont need to arrive as an AI expert but you need to develop deep fluency quickly and apply it with production-grade discipline:

• 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 builders eye what to use now whats hype what to wait for.

#LI-SL4

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Tubi is a division of Fox Corporation and the FOX Employee Benefits summarizedherecovers the majority of all US employee following distinctions below outline the differences between the Tubi and FOXbenefits:

• For US-based non-exempt Tubi employees the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
• For all salaried/exempt 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 within the first year of birth adoption surrogacy or foster placement of a child in addition to applicable government leave program(s) and FOXs short-term disability policy. This time is 100% paid through a combination of any applicable state city and federal 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 worlds 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.