Manager, Global Metadata

  •  Netflix
  •  Los Angeles, California
  •  Aug. 25, 2017

Job Description

Who are we?
Netflix is the world's leading internet streaming service with over 100 million members across 192 countries. Our members enjoy more than 125 million hours of streamed video per day on more than 1500 different types of devices, generating more than a third of downstream Internet traffic in North America. The Data Engineering & Analytics org supports Netflix’s data-driven culture across marketing, streaming, product, finance, and content functions.
The Global Metadata team within Content Data Engineering & Analytics is based in the entertainment capital of the world and is focused on building rich, connected data about content. This connected data is used across multiple functions, from getting content onto the service to feature development for statistical models. The scope of this team’s work is rapidly growing and there are many opportunities for impacting Netflix’s growing global audience and slate of Originals. We need an innovative leader to drive the team’s evolution in a quickly evolving business.

Who are you?

    • Beyond talented, you are curious, creative, and tenacious
    • You have a leadership style that attracts the best engineers and empowers them to be experts
    • A role model for integrity. You have great judgement and can make tough decisions without agonizing
    • You have strong beliefs that are weakly held: you can argue, and hear, all sides of a debate and adapt to new perspectives that emerge from it
    • You thrive on working at interfaces. You have a high tolerance for ambiguity and fast-changing contexts
    • You are passionate about your team’s work. You advocate for the craft and style in which impact is made
    • You enjoy working on hard problems with new tech, but what really drives you is creating levers for making big impact

What will you do?

    • Provide technical vision and strategy for building a content knowledge base that is integrated throughout human and machine-driven decisions
    • Build a dream team of engineers to execute on your vision
    • Nurture this dream team through thoughtful observation and courageous, honest feedback
    • Build software and social glue between a diverse set of engineering, scientist, content, and product teams to support decisions affecting billions of dollars in investment in subscriber joy

What you ideally know? (not a rigid litmus test)

    • How to build data products
    • Analytic domains related to knowledge bases (information retrieval, entity resolution, natural language processing)
    • How to work with analytics practitioners and contexts
    • A collection of Big Data tech (S3, Hive, Spark, Elasticsearch, graph databases, ...)
    • Python-based application development. Experience with its data science libraries is a plus
    • Team-based software development tools and best practices

A few more things to know:
Netflix offers amazing colleagues, constantly evolving technology, fascinating analytical and technical challenges, and a Freedom & Responsibility culture that is truly unique. Hopefully this culture resonates with you as it is incredibly important to us. See