Drive measurable revenue growth across digital inventory through optimized pricing, demand allocation, and yield strategies.
Improve CPMs, fill rates, and overall monetization efficiency across display, video, mobile, and CTV/OTT inventory.
Increase programmatic revenue contribution through optimized auction dynamics, demand path efficiency, and deal structuring.
Deliver accurate and reliable revenue forecasts in partnership with Finance, aligning yield strategies to company financial targets.
Enhance forecasting accuracy and revenue performance through the application of AI-driven insights and predictive analytics.
Improve inventory utilization to ensure maximum revenue delivery across monetization channels.

Manage and optimize yield across all digital inventory, including display, video, mobile, and CTV/OTT.
Analyze pricing strategies, floor prices, and demand sources to maximize revenue and fill rates.
Continuously monitor performance and adjust tactics to improve CPMs and overall yield.
Forecast inventory supply and demand to inform pricing and sales strategy.
Partner with Sales to package inventory effectively and support high-value deals.
Partner closely with Finance to develop, refine, and maintain revenue forecasts.
Analyze large datasets to identify trends, revenue opportunities, and performance gaps.
Build dashboards and reporting to provide visibility into performance and inform decision-making.
Leverage AI tools and techniques (e.g., predictive modeling, automation, anomaly detection) to enhance analysis and uncover revenue opportunities.
Oversee programmatic demand channels including SSPs, exchanges, and header bidding partners.
Optimize auction dynamics, deal structures (PMP, PG), and demand path efficiency.
Collaborate cross-functionally with Ad Operations, Sales, Product, Engineering, Finance, and Data teams.
Support campaign delivery strategy to ensure optimal monetization without negatively impacting user experience.

2–5+ years of experience in data analysis at an advertising focused media company.
Proven experience in yield management and revenue optimization focused on direct and programmatic advertising.
Strong analytical skills with experience using Excel, SQL, Looker, Tableau, or similar tools.
Experience partnering with Finance or business operations teams on forecasting, budgeting, or revenue planning.
Strong understanding of ad servers (e.g., Google Ad Manager) and SSPs/exchanges.
Experience working with programmatic deal types (PMPs, Programmatic Guaranteed).
Demonstrated ability to use AI tools for data analysis, automation, or optimization (e.g., Python-based models, BI integrations, AI copilots).
Experience applying predictive analytics or machine learning to pricing, forecasting, or yield optimization (preferred).
Strong communication skills and ability to influence cross-functional stakeholders.
A data-driven mindset with strong attention to detail and a bias toward action.

Ownership over Participation – You take responsibility for achieving holistic outcomes, prioritize key objectives, and adapt quickly when situations require a different approach. You follow through even against the toughest challenges.
Team over Stars – You are a bridge builder, establishing processes and relationships with teams outside your own. You work to rally around common goals, find win-win solutions, compromise when necessary, and help others succeed.
Growth over Comfort – You are driven by a desire to grow and actively seek opportunities to expand your comfort zone, skills, and confidence. You embrace new challenges with curiosity, accepting discomfort and failure as opportunities to learn.
Fairness over Popularity – You approach decisions with a scientist’s mindset, challenging your assumptions and remaining objective. You consider long-term impact rather than relying on short-term gains, proactively seek others’ perspectives, and manage emotions in decision-making.

Senior Yield Manager, Digital Advertising