Vice President, Programmatic Yield & Optimization

Newsweek is seeking a VP of Programmatic Yield & Optimization to lead the technical and analytical evolution of our programmatic revenue strategy. This role requires deep fluency in auction dynamics, real-time bidding, and programmatic monetization, as well as the ability to leverage advanced analytics, data modeling, and experimentation frameworks to maximize yield. 

You’ll work cross-functionally with data engineers, analysts, and product/engineering teams to build a yield strategy rooted in data science — applying algorithms, A/B testing, and predictive analytics to optimize pricing, inventory allocation, and demand paths. 

This role is ideal for a technical leader with a background in ad tech, analytics, and/or engineering who is excited to take a hands-on, quantitative approach to unlocking revenue opportunities. 

Key Responsibilities 

🔬 Programmatic Yield Optimization & Strategy 

• Own and evolve yield optimization frameworks to increase revenue per impression and session across open market, PMP, and direct-sold channels. 
• Model and optimize auction dynamics: set floor prices, analyze bid density, and maximize win rates across multiple SSPs. 
• Design and run multivariate experiments (e.g., floor price testing, bidder throttling) to continuously refine auction strategy. 
• Collaborate with product and engineering to implement and iterate on header bidding, server-side integrations, and supply-path optimization logic. 

📊 Advanced Analytics & Revenue Intelligence 

• Lead in-depth analysis of bid requests, bid responses, fill rates, latency, and CPM variance to identify performance opportunities. 
• Develop predictive models and diagnostic tools to inform decisions around pricing, partner prioritization, and deal packaging. 
• Drive first- and third-party data activation strategies to improve segmentation, targeting, and yield. 
• Build and maintain dashboards and automated reporting pipelines to track monetization KPIs and surface optimization insights. 

⚙️ Ad Tech Infrastructure & Partner Collaboration 

• Partner with data engineering and analytics teams to define the programmatic data layer and optimize data pipeline architecture. 
• Serve as an internal expert on ad tech systems (GAM, Prebid, OpenRTB, etc.) and external demand platforms (SSPs, DSPs). 
• Stay ahead of key trends including privacy regulation (GDPR, CCPA), AI/ML in programmatic, and signal loss due to cookie deprecation. 

Qualifications 

• 10+ years of experience in programmatic yield, ad tech, or revenue optimization, ideally in a data-driven environment. 
• Proficiency in SQL and experience with data tools (e.g., BigQuery, Snowflake, Looker, Tableau). 
• Comfortable analyzing and manipulating large-scale bidstream and auction data. 
• Strong understanding of RTB mechanics, header bidding frameworks (Prebid, Amazon TAM), and server-to-server integrations. 
• Familiarity with data science methodologies and working closely with data engineers or scientists. 
• Experience working with ad servers like Google Ad Manager, and SSPs such as Index Exchange, Magnite, Xandr. 
• Demonstrated ability to lead cross-functional projects across data, engineering, and product teams. 

Bonus Points 

• Experience with Python, R, or other statistical/ML tooling. 
• Experience with CTV, OTT, or digital audio. 
• Knowledge of privacy-forward approaches to identity and audience targeting. 

Salary range: $150,000 - $200,000 commensurate with experience