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Your Programmatic Partner #PublisherFirst
Associate Yield Manager
Location
United States
Posted
90 days ago
Salary
0
Seniority
Mid Level
Job Description
Associate Yield Manager
Freestar
• 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.
Job Requirements
- 1+ years in ad tech, yield optimization, programmatic operations, or data analytics.
- Experience working with Looker or other BI visual reporting tools.
- Strong command of Google Ad Manager (GAM), Google Analytics, Prebid, and header bidding environments.
- 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.
Benefits
- 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.
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