Pricing and Revenue Operations Associate
Posted on 10/5/2023
INACTIVE
Integral Ad Science

1,001-5,000 employees

Media measurement platform ensuring ad visibility and fraud prevention
Company Overview
Integral Ad Science (IAS) is a leader in the media measurement and optimization industry, providing actionable data that drives superior results in digital advertising. The company's platform enhances visibility across rapidly evolving channels such as Connected TV (CTV), gaming, and audio, ensuring ad safety and fraud prevention. IAS differentiates itself by offering real-time, granular data for campaign optimization, enabling clients to achieve their advertising goals more effectively than with competitors.
Data & Analytics

Company Stage

Seed

Total Funding

$122.6M

Founded

2009

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

3%

1 year growth

1%

2 year growth

39%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Sales
Salesforce
Communications
Excel/Numbers/Sheets
CategoriesNew
Sales & Account Management
Operations & Logistics
Requirements
  • BA/BS degree
  • MS Excel/Google Sheets
  • Like solving complex problems
  • Strong written/verbal communication
  • High-functioning & collaborative team player
  • Attention to detail & strong organization skills
  • Interest in advertising/media technology
  • Salesforce a plus!
Responsibilities
  • Negotiate pricing and commercial terms for advertiser, agency, and publisher contracts with the sales and pricing teams
  • Work with product teams to evaluate appropriate rates and other commercial guardrails for new products and solutions
  • Strategize revenue driving opportunities through pricing structures, rates, and packages
  • Partner with Sales Ops, Legal, Billing, and Enterprise Systems teams to maintain a streamlined and automated order management system
  • Analytics preparation and distribution: Conduct ad hoc analyses combining multiple data sources for short-term projects (deal structures, eCPMs, P&L analysis, product usage)
  • Sales enablement & training: Partner with Sales L&D to develop and maintain sales process documentation system and guide the L&D sales training database
  • Sales system data refinement: Partner with Sales Ops and Analytics on various data refinement projects; identify areas for data control improvement