
Ad Tech Developer – Header Bidding
Monetizemore
3 horas atrás
•Nenhuma candidatura
Sobre
- 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.)