Job Netflix.Com, Netflix Careers Jobs Apply In US ( Metadata Technologist )

Netflix

Salt Lake City (UT)

On-site

USD 24,796 - 33,062

Full time

14 days+

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Job summary

Netflix is seeking a Metadata Technologist in Salt Lake City to advance editorial metadata with algorithmic approaches. You will collaborate with engineering, product management, and analytics to pilot new ideas and implement scalable metadata solutions.

The role emphasizes cross-functional leadership, data-driven storytelling, and scalable workflows to enhance content context and member experience.

Qualifications

  • Experience with metadata and tagging at a global scale using algorithmic technology.
  • Understanding of algorithmic generation and its pros/cons.
  • Proven track record of technical innovation in high-scale environments.
  • Experience delivering projects across cross-functional teams and lifecycle.

Responsibilities

  • Bring together best-in-class technology, data and editorial information to drive excellence across Netflix content.
  • Expand context using algorithmic tech to unlock richer member value.
  • Forge partnerships and identify new areas for collaboration and growth.
  • Lead strategy in algorithmic and automation initiatives with stakeholder buy-in.
  • Manage projects from ideation to implementation across teams and functions.
  • Collaborate with Engineering, Operations, Product Management, PMO and Analytics to scope and extend tools and workflows.

Skills

Algorithmic context
Metadata tagging
Cross-functional collaboration
Project management
Communication skills
Storytelling

Education

Graduation

Job description

Company: Netflix | Position: Metadata Technologist | Qualification: Graduation | Salary: $21/Hour | Location: Salt Lake City, USA

Netflix is the arena's main internet enjoyment provider with over 220 million contributors in over one hundred ninety nations playing television series, documentaries, characteristic films, and games across a wide variety of genres and languages. At Netflix, the Editorial Insights group brings context to content - classifying it, describing it, and capturing its essence - to help connect our individuals to the content they’ll love. As part of Editorial Insights, Metadata development’s challenge is to increase the opportunities of how editorial metadata and insights can be used to help our members and the business make higher feel of the world of enjoyment. Our work is supposed to be pioneering, experimental and boundary-pushing; rooted in the power of bringing together a human expertise of content, storytelling and audiences with scalable era solutions. As a Metadata Technologist centered on algorithmic answers, you may be accountable for growing, piloting and enforcing new concepts and processes that deliver deeper context to Netflix content from pitch to play. This covers the whole spectrum of new metadata development, from ideation with key stakeholders to enterprise-case development, to advocacy, purchase-in, trying out, and complete productization across team verticals. This role will file to the supervisor of Metadata improvement and is far flung-friendly.

Responsibilities
  • Bring collectively the first-rate of era, statistics and editorial information to force creative and operational excellence in the whole lot we do for Netflix.
  • Expand the possibilities and ability of context which may be derived using algorithmic era, using innovation that each takes us deeper into content material intelligence and unlocks richer member cost possibilities.
  • Forge new partnerships and enhance current ones through identifying ability new regions of collaboration and tendencies that query the fame quo.
  • Lead strategy within our algorithmic and automation initiatives by way of specifying, validating, and constructing consensus on strategic processes at the same time as gaining advocacy and buy-in from key stakeholders.
  • Manage tasks from ideation to implementation, running pass-functionally to pilot and release new principles and techniques when they have been established.
  • Partner with Engineering, Operations, Product management, program management and making plans & analysis groups to scope and broaden the tool, workflow and aid implications and opportunities of new concepts and tactics.
Qualifications
  • Revel in working with, developing and supporting manipulate innovative metadata and/or tagging structures on a international scale with the usage of algorithmic era.
  • Proficient to expert expertise of the special processes and strategies of the use of algorithmic generation and the professionals/cons of each
  • Validated music record of technical innovation, observed via to productization, specially in high-scale manufacturing and editorial environments.
  • Experience handling projects throughout the improvement and implementation lifecycle within fantastically go-useful, non-hierarchical or matrixed workplaces.
  • Top notch passion for storytelling with a deep information of the worlds of tv, movies, gaming and leisure.
  • At ease in “left mind” (logical) and “right brain” (creative) trouble fixing, know-how the way to leverage data and insights to pressure price and effect.
  • First rate communication abilties: written, verbal and presentational.
  • Mounted and demonstrable collaboration, hassle-fixing and struggle-decision skills.
  • Experience running with engineering, product management and information technology teams.

The general marketplace range for roles in this vicinity of Netflix is typically $80,000 - $500,000. This marketplace variety is based totally on overall compensation (vs. Handiest base revenue), that is in line with our compensation philosophy. Netflix is a unique subculture and environment. Learn more right here.

At Netflix, we cautiously bear in mind a huge range of repayment elements to decide your personal pinnacle of marketplace. We depend on marketplace signs to decide compensation and recollect your specific job circle of relatives, heritage, abilities, and experience to get it proper. Those concerns can cause your compensation to differ and also will be depending on your location.

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