VaynerMedia

VaynerMedia

Resident - Media Buying & Planning

United States- New York, NY · Contract

Sponsorship not specifiedDetected 42 days ago
Google AnalyticsExcelSignal ProcessingCommunicationProblem SolvingPublic SpeakingOrganizational Skills

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

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Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • ABOUT VAYNERMEDIA VaynerMedia is a global integrated creative and media agency, built for today's consumers.
  • Execute within various digital platforms like Google, Meta (Facebook/IG), TikTok, Trade Desk, and Amazon.

Responsibilities

  • Execute within various digital platforms like Google, Meta (Facebook/IG), TikTok, Trade Desk, and Amazon. Manage the ongoing real-time optimization of live media to ensure client goals are met and/or exceeded.
  • Execute client-facing deliverables: pacing reports, campaign build, ad-hoc analysis, in-platform optimizations, etc
  • Manage media investment across platforms daily, weekly, and on a quarterly basis, ensuring optimal budget allocation.
  • Collaborate with supervisors To develop platform strategies, audience targeting, and campaign execution.
  • As the Modern Agency of Record, it understands the nuances of today's attention landscape, empowering brands to win attention, drive relevance, and deliver business results.

Requirements

  • You must be able to commit to a full-time work schedule, which is 40 hours per week during 9am-6pm ET business hours Monday-Friday.
  • Advanced skills in Excel or Google Sheets, including pivot tables, V-Look Ups, etc
  • Social: Meta, Snapchat, TikTok, Pinterest, LinkedIn
  • Google: Youtube, Search, Display
  • Amazon: AMS, Amazon DSP
  • Programmatic Display/Video: The Trade Desk, DV360
  • Connected TV/OTT: Roku, Hulu
  • Strong problem-solving mindset and data-driven approach
  • Highly organized with the ability to manage multiple projects in a fast-paced environment
  • Collaborative team player with a drive to learn and grow in digital media
  • This is a hybrid role with a required 3-4 days on-site from our NYC HY office.

Nice to have

  • Media buying experience (preferred, not required): Familiarity with platforms such as:
  • Exposure to Google Analytics, MOAT, IAS, and Nielsen is nice to have.

Compensation

  • Exact compensation may vary based on skills, experience, and location.

Benefits

  • Medical, Dental, and vision coverage
  • Caregiver (Parental) Leave
  • Health and Wellness benefits

Company info

  • VaynerX is a family of companies building brands for the now.
  • Founded by Chairman Gary Vaynerchuk in January 2017, the modern-day parent company i s home to relevance-driving businesses including VaynerMedia, ChukMedia, Tamara Group, Gallery Media Group, Tingley Lane Trading, and VaynerSpeakers.
  • Founded in 2009, by Gary Vaynerchuk, the independently owned agency operates in 15 offices worldwide, including Amsterdam, Bangkok, Chicago, New Delhi, Kuala Lumpur, London, Los Angeles, Mexico City, Miami, New York, Tokyo, Toronto, Singapore, and Sydney.
  • VaynerMedia is part of the VaynerX family of companies.
  • We are currently accepting applications for the next residency class with a Jan 2027 start date.
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This listing is sourced directly from VaynerMedia's careers page and normalized into a canonical job model.