Netflix is looking to optimize its programmatic advertising revenue and yield by analyzing auction data, refining bid guidance, and implementing supply segmentation tactics.
Requirements
- 4+ years of experience in ad tech, programmatic advertising, revenue/yield analytics, or digital media strategy
- Familiarity with SSP and DSP platforms (e.g., DV360, The Trade Desk) and an experienced understanding of how auction dynamics and pricing levers influence monetization
- Advanced in Excel/Google Sheets; experience with data visualization tools such as Preset, Tableau or Looker preferred
- Highly analytical with demonstrated experience in quantitative analysis, revenue modeling, and large data set manipulation
Responsibilities
- Lead the analysis of programmatic auction data to uncover buyer-specific bidding patterns, CPM elasticity, and bid journey trends across open and private marketplaces
- Drive monetization strategy across programmatic deal structures by optimizing pricing, refining bid guidance, and implementing supply segmentation tactics
- Assist DSE in building and maintaining business intelligence tools and dashboards that drive visibility into programmatic performance
- Inform quarterly, annual, and long-term forecasting inputs and drivers for programmatic globally
- Partner with F&S, DSE, and Product to build a learning agenda and test & learn opportunities for programmatic supply and demand tactics
Other
- 4+ years of experience in ad tech, programmatic advertising, revenue/yield analytics, or digital media strategy
- Self-starter with the ability to work independently and collaboratively in a fast-paced environment
- Excellent written and verbal communication skills with the ability to tailor messaging to cross-functional audiences
- Passionate about solving problems, curious about the evolving ad ecosystem, and motivated by impact