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Senior Account Executive, Audience & Curation

Job in New York, New York County, New York, 10261, USA
Listing for: Genius Sports Statistician Network
Full Time position
Listed on 2026-10-17
Job specializations:
  • Business
    Business Development, Business Analyst, Sales & Marketing
Salary/Wage Range or Industry Benchmark: 130000 - 150000 USD Yearly USD 130000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalised than ever before. Learn more at

THE ROLE:

The Brands & Agencies organization is run as five pods, one per buyer group. Your pod, WPP, Publicis, or Omnicomis led by a VP and staffed with account executives who own the client and planning relationships. You’re the technical specialist in that pod: you own the two layers the rest of the team supports but doesn’t run, your Holdco’s data organization and its trading desk.

This is a specialist individual-contributor role, not a junior one. You’ll carry your own curation and audience revenue number, and you will be the most technical person in the room on most calls, including calls where your VP is the senior relationship owner and you are there because the questions have gotten specific.

This is a heavy, hands-on sales role. You will live inside your assigned Holdco’s trading desk and data organization. Working directly with trading and buying teams, and building relationships across investment, curation, and programmatic teams, to personally lead deals end-to-end. You’ll work side-by-side with Ad Operations, Product, and our Insights team to translate our audience products into the solutions those buying teams need.

What

You’ll Do Carry the curation and audience number
  • Own and exceed an individual quota for curated-deal and audience revenue within your assigned holdco.
  • Source, lead, and close curated deal and segment agreements with your Holdco’s trading, curation, and data teams, from first conversation through commercial terms, taxonomy sign-off, and activation.
  • Keep pipeline and forecast accurate in CRM (Hub Spot or Salesforce), and know the difference between a deal that is signed and a deal that is actually spending.
  • Report on what is live and what is stuck: deals activated, segments distributed, spend flowing through curated packages, and the specific blocker on anything that has stalled.
Own the trading desk relationship
  • Get Genius curated deal IDs and PMPs into the packages your holdco’s central trading and curation unit buys from, and into the agency-level programmatic teams that draw on them.
  • Work fluently in the platforms these teams live in:
    The Trade Desk, DV360, Amazon DSP, Yahoo DSP, and the major SSP and curation platforms, plus your Holdco’s own proprietary planning and activation stack.
  • Negotiate deal structure the way trading teams think about it; floor pricing, fees and take rates, scale and match-rate guarantees, tiering, and reporting SLAs and know when a curated deal is the right vehicle versus a segment license.
  • Solve the unglamorous problems that decide whether a deal scales: deal-, throughput and win rates, discrepancy resolution, and the reasons a curated package under delivers. This is a large part of the job and the part that most often decides whether a test renews.
Own the data and audience relationship
  • Get Genius segments distributed, priced, and discoverable everywhere your holdco’s data teams shop: DSP data marketplaces, Live Ramp, Snowflake and other data-collaboration environments, and identity frameworks including UID2 and RampID.
  • Map Genius audiences into your holdco’s proprietary taxonomy and audience framework so a planner finds them where they already look, under names they already use.
  • Partner with your holdco’s analytics and data-science teams on clean-room work, modeling, incrementality design, and the measurement standards they use to grade audience performance.
  • Own the answers to the five questions every data buyer asks: scale, match rate, freshness, how the audience was constructed, and…
Position Requirements
10+ Years work experience
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