Job Description

At MonetizeMore, we're all about using data to transform how the advertising industry tackles IVT (Invalid Traffic) and fraud prevention. Our products deliver real impact--and we need top-tier talent to help sell this premium AI product to better protect ad monetized publishers and ad tech vendors.
For 15 years, we've been driven by a team of 100+ talented professionals across the globe. As a 100% remote and culture-centric organization, we are built on the core pillars of Integrity, Collaboration, Enterprising, and Kaizen, ensuring excellence in everything we do.
About the Role
MonetizeMore is seeking an Ad Tech Developer with in-depth expertise in header bidding to build, optimize, and scale programmatic monetization for premium publishers. You'll own end-to-end header bidding implementations (with a heavy focus on Prebid.js), improve auction performance, and partner with product, yield, and publisher success teams to deliver revenue-lifting results with excellent user experience.
What You'll Do

• Design & implement header bidding stacks using Prebid.js (web) and related wrappers; configure bidders, floors, price granularity, userId modules, and analytics.
• Customize & extend adapters/modules (e.g., userId, analytics, consent) and contribute clean, documented JavaScript/TypeScript code.
• Integrate with GAM/Ad Manager (GPT): line item strategy, key-values, creative templates, and troubleshooting of delivery and competition.
• Optimize auctions & latency: tune timeouts, s2s vs. client, floors, ad refresh logic, and page performance (CLS/LCP/INP/Core Web Vitals).
• Run experiments: A/B test bidders, formats, and page placements; build dashboards to track impact (e.g., eCPM, viewability, fill, latency).
• Debug complex issues across browser, network, and auction layers (DevTools, HAR/Waterfall, Charles/Proxyman); resolve revenue dips & bidder errors.
• Implement privacy & compliance: IAB TCF, GDPR/CCPA/CPRA, CMP integration, consent storage, and geo-specific behaviors.
• Work with partners: SSPs, exchanges, ID providers, and analytics vendors to launch new demand and troubleshoot.
• Ship quality safely: use Git, CI/CD, code review, and observability to keep releases fast and reliable.
• Document & mentor: write clear runbooks and help level up teammates.

What You'll Bring

• 3-6+ years of front-end or full-stack experience with a strong JavaScript foundation (TypeScript a plus).
• 2-4+ years hands-on with header bidding (Prebid.js required); experience with s2s/managed wrappers (e.g., Prebid Server, Amazon TAM/UAM) is a plus.
• Solid understanding of Google Ad Manager (GAM/GPT) setups, line items & creatives, key-values, targeting, and delivery debugging.
• Working knowledge of programmatic concepts: OpenRTB, floors, auction dynamics, user sync/ID, brand safety, and viewability.
• Familiarity with privacy frameworks & CMPs (IAB TCF v2.x, GDPR/CCPA/CPRA) and consent-aware ad serving.
• Performance tuning for Core Web Vitals and modern build tools (Webpack/Vite/Rollup).
• Comfort with Chrome DevTools, network waterfalls, and log-driven debugging; bonus points for Node.js, Cloud Functions, or simple backend endpoints.
• Data fluency: basic SQL or BI tools (Looker/Data Studio/BigQuery) for revenue & latency analysis.
• Clear communication with both technical and non-technical stakeholders; bias for automation and measurable outcomes.

Nice to Have

• Experience with app/webview monetization, AMP, or SPA frameworks (React/Vue/Svelte).
• Prebid analytics adapters or custom reporting pipelines.
• Experience with ads.txt/app-ads.txt, sellers.json, supply chain object.
• Knowledge of brand safety & IVT controls, creative QA, and MRC viewability standards.
• Exposure to video (IMA/OMSDK, Prebid Video, VAST/VPAID/VMAP) or CTV/OTT.
• Knowledge in Python and NoSQL is a plus.

Why MonetizeMore

• Remote-first culture with flexible work hours.
• Impact at scale across a large publisher network.
• Smart, low-ego teammates and a culture of experimentation.
• Competitive compensation, performance bonus, home-office stipend, and learning budget. (Adjust to your real benefits as needed.)

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