Yield & Monetization Analyst (Contract)

Posted 10 Days Ago
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Hiring Remotely in Redwood, OR, USA
In-Office or Remote
120K-150K Annually
Mid level
Artificial Intelligence • Software • Conversational AI • Generative AI
The Role
Define audience and inventory segmentation to drive pricing; manage weekly geo-tiered price-floor governance; monitor revenue, investigate anomalies, and run A/B tests; build dashboards linking segments, floor changes, and revenue; align ad strategy with subscriptions and other monetization initiatives; support demand integrations and translate findings for stakeholders.
Summary Generated by Built In

About the role

Character is building one of the most engaged consumer AI products in the world, and we’re scaling the advertising business that helps fund it. Our core programmatic infrastructure is already in place. We’re bringing on a Yield & Monetization Analyst on a contract basis to strengthen the analytical and operational layer on top of it working hand in hand with our Data team and the rest of the monetization function.

This is a role for someone who is fluent in advertising technology and the programmatic advertising ecosystem: you’ll partner with the Data Science team to define the audience segments that drive pricing, maintain a disciplined weekly cadence for monitoring and adjusting price floors, and keep ad monetization in lockstep with our broader initiatives including subscriptions, and one time purchases so the strategies reinforce one another rather than compete. You’ll work alongside our existing monetization teams who handle the underlying ad-stack architecture and implementation; your focus is segmentation, floor governance, and cross-functional alignment.

What success looks like

We expect this role to deliver:

  • A segmentation framework, built with the Data Science team, that breaks inventory and audiences into meaningful cohorts (geo, device, surface, engagement / session depth, user tenure) and feeds directly into pricing and demand strategy.

  • A standing weekly price-floor review running smoothly geo-tiered Unified Pricing Rules monitored, adjusted, and documented against fill and eCPM, with a clear audit trail of changes and outcomes.

  • Ad monetization decisions are visibly coordinated with subscriptions and other monetization initiatives, ad load, segment treatment, and floor strategy aligned to LTV and user experience so the lines complement rather than cannibalize each other.

  • A reporting view that connects segments → floor changes → revenue outcomes, legible to Monetization team, Data Science team, and leadership.

What you’ll do

  • Partner with various internal and external stakeholders to define and continuously refine audience and inventory segments, and translate those cohorts into actionable targeting and pricing strategy.

  • Own a weekly price-floor governance cadence: review geo-tiered Unified Pricing Rules against performance, propose and apply adjustments, and track the fill / eCPM impact of every change.

  • Stay in lockstep with broader company monetization initiatives aligning ad strategy, ad load, and segment treatment with LTV, conversion, and user-experience goals, and adjusting on the fly should cannibalization risk be identified.

  • Monitor daily and weekly revenue, investigate anomalies and discrepancies, and run structured A/B tests to validate floor and segment changes.

  • Build and maintain dashboards that tie segment performance, floor movements, and demand-source behavior to revenue, partnering with Data on instrumentation and attribution.

  • Support demand integrations (AdX / Open Bidding, Amazon TAM) in partnership with the monetization owner and Engineering, contributing the analytical lens.

  • Help translate findings into clear recommendations and briefings for Monetization, Data, and leadership stakeholders.

What you’ll bring

  • 4+ years in yield management, ad operations, revenue / monetization analytics, or publisher monetization, with a strong analytical core.

  • Demonstrated experience with audience / inventory segmentation and cohort analysis, and comfort working closely with a data team; SQL and BI tooling (e.g. Looker, Tableau) a strong plus.

  • Hands-on Google Ad Manager fluency, especially Unified Pricing Rules and floor management, plus a solid grasp of the programmatic ecosystem (AdX / Open Bidding, header bidding, SSP / DSP / RTB).

  • Understanding of hybrid monetization — how ad-supported and subscription / paid models interact, and how to balance ad revenue against LTV and retention.

  • A disciplined, cadence-driven operator who can run a reliable weekly review and keep a clear audit trail of decisions.

  • Strong communication — able to make segment and floor analysis legible to both technical and business stakeholders, and to coordinate across functions.

  • Self-directed and outcome-oriented, comfortable owning a defined scope and delivering within a fixed term.

About Character.AI

Character.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.


In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach.


Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI!

At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

Skills Required

  • 4+ years in yield management, ad operations, revenue/monetization analytics, or publisher monetization
  • Demonstrated experience with audience/inventory segmentation and cohort analysis
  • Comfort working with data teams and using SQL
  • Experience with BI tooling (e.g., Looker, Tableau)
  • Hands-on Google Ad Manager fluency, especially Unified Pricing Rules and floor management
  • Solid understanding of programmatic ecosystem (AdX, Open Bidding, header bidding, SSP/DSP/RTB)
  • Understanding of hybrid monetization (ad-supported and subscription models)
  • Disciplined, cadence-driven operator able to run weekly reviews and maintain audit trails
  • Strong communication and cross-functional coordination skills
  • Self-directed, outcome-oriented, able to own scope and deliver in a fixed term
  • Experience designing and running structured A/B tests
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The Company
HQ: Palo Alto, CA
30 Employees
Year Founded: 2021

What We Do

Creating revolutionary open-ended conversational applications through breakthrough research.

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