VP of Engineering, Content Intelligence & Discovery

About Fubo: FuboTV Inc. is a consumer-first live TV streaming company that is defining the future of TV. Ranked among Fast Company’s Most Innovative Companies (2026) and the Financial Times’ The Americas’ Fastest-Growing Companies (2026, 2025), FuboTV owns Hulu + Live TV (entertainment), Fubo (sports) and Molotov (entertainment and sports), which stream in markets around the globe.

Our Mission: Our mission is to deliver premium sports, news and entertainment programming through a best-in-class user experience that offers greater choice, flexibility and value.

About The Role

: *This role is a New York City based HYBRID position. * Fubo is seeking a VP of Engineering to lead our Content Intelligence Discovery organization. This leader will oversee the technical "brain" of our platform, the systems that ingest, model, and intelligently surface content to millions of users.

Reporting to the CTO, you will lead a multi-disciplinary organization that sits at the intersection of high-scale systems engineering and applied machine learning. Your mission is to move beyond baseline heuristics toward sophisticated, high-performance algorithms while maintaining a "you build it, you run it" operational culture. The teams: Search Personalization: Our engine for user engagement.

You will drive the roadmap to improve our ranking models, collaborative filtering, and semantic search. Your success is measured by the tangible improvement of discovery quality and user retention. Knowledge Graph: The foundation of our intelligence.

This team builds the abstraction layers and semantic models that normalize massive amounts of metadata and real-time sports statistics into a unified, queryable internal graph. Video AI (Strategic Collaboration): You will partner closely with our India-based Video AI team to operationalize computer vision and NLP outputs, ensuring AI-driven enrichment is seamlessly integrated into the Knowledge Graph and SNP pipelines.

Key Responsibilities

: Algorithmic Innovation : Lead the transition to more advanced ML models for discovery. You will be responsible for the "precision and recall" of our systems, ensuring we connect users to the right content in milliseconds. AI-Accelerated Engineering: Act as a champion and mentor for the adoption of AI-assisted development (LLMs for coding, automated testing, and documentation).

You will help the team integrate these tools into their daily workflows to increase velocity and code quality. Full-Cycle Operational Ownership : While you can leverage corporate infrastructure, your teams are responsible for the health of their own services. You will instill a culture of high availability, deep observability, and proactive "ops" management within the engineering teams.

Systems Architecture : Oversee the design of resilient, low-latency data pipelines and APIs that can handle the massive scale of live-sports metadata and user-activity data. Global Execution : Synchronize technical roadmaps between your domestic teams and international partners, ensuring a cohesive strategy for AI-driven metadata enrichment. Ideal Candidate Profile: The "Bilingual" Leader : You are a seasoned systems engineer who is also fluent in Data Science.

You can audit a Go/JVM-based backend architecture one hour and discuss the nuances of vector embeddings or ranking loss functions the next. Operational Rigor : You have experience running high-traffic production systems.