Fubo
VP of Engineering, Content Intelligence & Discovery
New York, NY · Vp
Sponsorship not specifiedDetected 50 days ago
TypeScriptPythonGoScalaReactViteAlgorithmsRedisElasticsearchBigQueryKubernetesKafkaMachine LearningAirflowData EngineeringNLPComputer VisionLLMsStatisticsSystems EngineeringTest AutomationLeadershipCollaborationMentoring
About the role
- This role is a New York City based HYBRID position.
- This leader will oversee the technical "brain" of our platform, the systems that ingest, model, and intelligently surface content to millions of users.
- Search & Personalization: Our engine for user engagement.
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.
- 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.
- You will drive the roadmap to improve our ranking models, collaborative filtering, and semantic search.
- 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.
Requirements
- You have experience running high-traffic production systems.
- You have a track record of scaling engineering organizations, mentoring managers, and fostering a culture of excellence in fast-paced environments.
- 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.
- Leadership at Scale: You have a track record of scaling engineering organizations, mentoring managers, and fostering a culture of excellence in fast-paced environments.
Skills
- Languages: Go, Python, Scala, TypeScript
- Data Storage & Analytics: BigQuery, BigTable, GCS
- Stream & Batch Processing: Apache Kafka, Google Pub/Sub, Apache Beam (Spotify Scio), Google Dataflow, Apache Airflow
- Search & ML Platform: Elasticsearch, Vertex AI
- Infrastructure & Orchestration: Kubernetes, Redis…
- Frontend (Internal Tooling): React, Vite, Material UI, Streamlit
- Act as a champion and mentor for the adoption of AI-assisted development (LLMs for coding, automated testing, and documentation).
Compensation
- Fubo's minimum base salary for this role if hired in New York City is $275,000 per year; maximum base salary for this role is $320,000 per year.
Benefits
- Robust benefit package including Health/Dental/Vision coverage 401k, Life Insurance, and commuter benefits
- Unlimited PTO days and regular company-wide activities
- Additionally, this role is eligible to participate in Fubo's equity plan, annual cash bonus plans, unlimited PTO, and a full range of medical benefits.
- 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.
- While you can leverage corporate infrastructure, your teams are responsible for the health of their own services.
Company info
- 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.
- 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.
This listing is sourced directly from Fubo's careers page and normalized into a canonical job model.