Newsweek is the global media organization that has earned audience time and trust for more than 90 years. Newsweek reaches 100 million people each month with thought-provoking news, opinion, images, graphics, and video delivered across a dozen print and digital platforms. Headquartered in New York City, Newsweek also publishes international editions in EMEA and Asia.
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
Newsweek is an equal opportunity employer. We seek employees of diverse backgrounds and are committed to providing an inclusive, equitable and respectful workplace.
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