VP of Engineering, Content Intelligence & Discovery
$275,000–$320,000 year
Hybrid · New York City, New York, United States
Job Summary
Lead the Content Intelligence & Discovery engineering organization at Fubo, overseeing the systems that ingest, model, and surface content to millions of users. Drive algorithmic innovation and AI-assisted development across teams including Search & Personalization, Knowledge Graph, and Video AI partnerships. Own full-cycle operational health, including low latency pipelines, observability, and on-call practices. Collaborate with global partners to align roadmaps and ensure scalable, high-quality discovery experiences. Key tech: Go, Python, Scala, TypeScript; data/storage/tools such as BigQuery/BigTable/GCS; Kafka, Pub/Sub, Beam/Dataflow, Elasticsearch, Vertex AI; Kubernetes, Redis; React, Vite, Material UI, Streamlit. Ideal candidate is bilingual in systems engineering and data science, possesses leadership at scale, and is metric-driven with a focus on product needs and user impact.
Required Qualifications
- Experience leading high-traffic production systems
- Proven ability to mentor managers and scale engineering organizations
- Strong understanding of ML/AI applied to content discovery and search
- Experience with Go, Python, Scala, TypeScript and related tech stack
- Ability to synchronize roadmaps across domestic and international teams
- Proven track record of delivering low-latency, high-availability data pipelines and APIs
Desired Qualifications
- Experience leading large-scale engineering organizations
- Proven track record in ML-driven content discovery or recommendation
- Strong leadership and mentoring skills with ability to scale teams
- Deep understanding of high-availability production systems and observability
- Fluency with Go, Python, Scala, TypeScript and modern data pipelines
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