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Freestar logo
Freestar

Your Programmatic Partner #PublisherFirst

Yield Manager

ManagerManagerFull TimeRemoteJuniorTeam 201-500Since 2018H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

81 days ago

Salary

0

Seniority

Junior

Bachelor Degree1 yr expEnglish

Job Description

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; 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.

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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