Live opening · Posted 18 hours ago
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About the role
Description supplied by the original job listing.
What you’ll be doing:
As a Yield Operations Specialist, you’ll study, test, and optimise publisher‑side auctions across leading ad‑tech platforms including Prebid, Google Ad Manager and Amazon TAM. Working in a competitive environment, you’ll help evolve our optimisation technology to be smarter, faster and more scalable, delivering measurable revenue and performance uplift for publishers.
You will work across the full optimisation lifecycle, turning ideas into hypotheses, running experiments, and embedding outcomes into repeatable processes while partnering closely with Product, Engineering, Data Science, Design and Commercial teams.
You'll:
You own day-to-day yield optimisation in our ad-tech stack (GAM, Prebid, Amazon/TAM and related tools), executing and iterating upon optimisation strategies to improve customer outcomes.
You get hands on with investigating and resolving performance problems through the use of varied reporting platforms and on-page debugging tools (DevTools/console)
You form hypotheses, run targeted A/B experiments or controlled tests, and translate outcomes into clear strategic and product recommendations and documentation.
Build and maintain reusable optimisation playbooks and runbooks that other teams can execute, including baseline onboarding checks and targeted experiments for specific publisher types.
Partner with Product, Engineering and Data Science to scope improvements to monetisation tooling, reporting and statistical methods, and to roll out approved changes safely and consistently.
Contribute to vendor and partner evaluations (SSPs/identity/measurement), assisting the wider team members with analysis for trials and integrations that can create measurable uplift or reduce cost.
Work closely with our Customer teams to increase usage of core product features, and provide them with required resources & documentation to support this.
What we’re looking for:
Working knowledge of ad‑serving and programmatic advertising, including auctions, deals, and troubleshooting.
Strong analytical skills, comfortable working with large datasets in Excel/Google Sheets and communicating insights clearly.
Test‑and‑learn mindset, able to define problems, run experiments, interpret results, and document clear next steps.
Practical troubleshooting skills on live pages (logs, network calls, console), with a focus on learning and repeatability.
Collaborative and coachable, confident acting as a subject‑matter resource while knowing when to escalate complexity.
Experience in a programmatic yield or adjacent analytics role; familiarity with GAM, Prebid and/or Amazon TAM is a plus.
Strong written and verbal communication, including documenting processes and presenting to non‑technical stakeholders.
Employment type
Full-time
Work arrangement
Hybrid
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