Tubitv
Staff Software Engineer, Internal Tools
New York City, NY (Hybrid) · Staff+ · Full-time
Sponsorship not specified$227k-$325kDetected 30 days ago
TypeScriptPythonReactNode.jsExpressDistributed SystemsFull-Stack DevelopmentCode ReviewPostgreSQLMachine LearningLLMsLeadership
About the role
- 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.
- We are the group responsible for turning AI from an experiment into an operating capability: training, infrastructure, developer agents, and AI-powered business systems.
Responsibilities
- 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.
- 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.
- 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.
- Demonstrated bias toward shipping. Track record of turning ambiguous problems into working systems on a reasonable timeline - not just designs or proposals.
- Experience building over heterogeneous enterprise data sources with varying freshness, schemas, and access patterns.
- You don't need to arrive as an AI expert, but you need to develop deep fluency quickly and apply it with production-grade discipline:
Requirements
- Experience with document AI or structured data extraction from unstructured sources (documents, image, natural language) at scale.
Nice to have
- Demonstrated bias toward shipping.
- 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.
- Experience designing systems that handle non-deterministic or probabilistic outputs (ML models, LLM pipelines, or similar) with appropriate confidence scoring and fallback strategies.
Compensation
- Pursuant to state and 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, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents.
- $227,200 - $324,500 USD
Benefits
- 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, Tubi offers a monthly wellness reimbursement.
- Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits.
- Pursuant to state and 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.
Company info
- Tubi's Internal Tools team is at the forefront of AI integration, developing everything from developer resources to production-grade AI for business operations.
- Engineers operate with high ownership and autonomy, collaborating on shared architectural decisions and AI infrastructure.
- 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.
- Your Background:
- Core Qualifications (Must-Haves)
- 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.
This listing is sourced directly from Tubitv's careers page and normalized into a canonical job model.