Yield Manager

Freestar helps publishers maximize revenue through best-in-class ad monetization technology and data-driven yield strategy. Our Yield Managers are the analytical engines behind that success. They uncover insights, drive optimizations, and turn data into meaningful outcomes for both individual publishers and our broader network.

We’re looking for a data-savvy detail-oriented Yield Manager who thrives on solving complex problems and making sense of data. This is a highly analytical role that works closely with cross-functional teams to uncover monetization opportunities, lead investigations into yield performance, identify issues affecting publisher success, and partners with internal teams on strategic initiatives. You will provide both proactive insights on network-level performance and trends while also serving as the escalation resource for publisher-facing teams around yield optimization and strategy. 

Key Responsibilities

• Analyze publisher and network-level performance data to uncover trends, inefficiencies, and revenue growth opportunities.
• Translate complex data into clear actionable insights and produce yield optimization plans for publishers and Customer Success Managers.
• Diagnose and resolve performance issues, identifying root causes of revenue fluctuations and guiding teams to solutions.
• Develop and validate hypotheses on monetization strategies; measure and communicate results through concise, data-driven reporting.
• Lead or support macro-level strategic yield initiatives that advance network-wide optimizations and revenue growth.
• Serve as an escalation point for advanced yield inquiries and collaborate on strategic projects that improve publisher performance.
• Collaborate cross-functionally with Data Science, Product, and Engineering teams to continually improve auction mechanics, floor pricing models, ad product development, and ad layout strategies.
• Enhance analytics frameworks and tools by partnering with internal teams, refining dashboards, and creating standard methodologies for performance measurement.
• Support pre-sales and onboarding, using analytical insights to assess revenue potential and design optimal ad layouts.
• Monitor alerts and coordinate with Customer Success, Demand and Support teams to resolve issues before they affect revenue.
• Collaborate cross-functionally on A/B testing to support Yield-related experiments, and provide analyses to quantify lift and inform broader adoption.

• 1+ years in ad tech, yield optimization, programmatic operations, or data analytics; preferably at a digital publisher or ad management company.
• Experience working with Looker or other BI visual reporting tools.
• Strong command of Google Ad Manager (GAM), Google Analytics, Prebid, and header bidding environments.
• Prior experience in publisher monetization, yield management, or revenue optimization.
• Ability to analyze auction metrics (eCPM, RPM, RPS, fill rate, latency) and turn insights into measurable actions.
• Working knowledge of site performance tools (e.g., Chrome Console, Professor Prebid, Google Lighthouse, WebPageTest) and understanding of user experience tradeoffs in monetization.
• Excellent verbal and written communication skills; comfortable presenting complex ideas to both technical and non-technical stakeholders.
• Ability to translate technical or statistical findings into clear business insights.
• Excellent problem-solving, time management, and prioritization skills in a fast-paced environment.

• Proficiency in SQL and comfort working with large complex datasets.
• Understanding of machine learning or statistical modeling approaches.
• Exposure to programmatic performance analysis, demand-side bidding methodologies, and AB testing frameworks.
• Proactive, resourceful, and self-motivated; possesses intellectual curiosity and the drive to independently explore and solve problems.
• Adaptable and comfortable wearing many hats in a rapidly changing industry and company setting.

• Relentlessly curious, analytical thinker who loves finding clarity in complex data.
• Able to balance micro-level deep dives with macro-level pattern recognition.
• Persuasive and confident in presenting findings to cross-functional partners.
• Adaptable, proactive, and eager to take ownership from insight to execution.

• Highly collaborative, data-obsessed culture with growth opportunities across analytics, product, and strategy tracks.
• Access to cutting-edge monetization data and tech stack at scale.
• Competitive compensation and benefits.
• A supportive environment where ideas, experimentation, and continuous learning are valued.