Adthena

Our Mission Join us in shaping the future of paid search intelligence. Adthena is an award-winning search intelligence platform powered by patented AI technology and a team of dedicated experts. We help brands, marketers, and agencies dominate their competitive landscapes with unparalleled insights into the paid search market. Our Whole Market View, Smart Monitor, and Local View solutions give clients the clarity to optimize spend, increase ROI, and stay ahead of the competition. Trusted by global brands like Citibank, L’Oréal, and Volvo, and backed by Updata Partners, we’ve been redefining search intelligence since 2012. In 2025, Adthena continued its winning streak, earning 8 major search industry awards. Highlights include Best AI Search Software Solution at the US Search Awards, Best Search Software Tool at the European Search Awards, and Best Software Innovation at the Global Search Awards. Ready to make an impact in an industry-leading company? Let’s do it together. We always want to hear from candidates who are passionate about our brand, award-winning product and be part of contributing to our future growth, which is why we have created our Talent Community! If we don't currently have an open role that aligns with your experience but you are keen to keep in touch, we welcome you to join our Talent Community to keep up to date with the latest Adthena news. Submit your CV and some details and our Talent Acquisition team will keep in touch when a suitable role becomes available, should you be a great fit. By submitting your application, you are opting in to join our Talent Community Qualification/Experience:

• Design and maintain large-scale Python scraping systems that operate reliably against Google and other highly defended websites • Build scrapers for dynamic, JavaScript-heavy pages using browser automation and hybrid approaches • Continuously adapt to changes in page structure, request flows, and anti-automation mechanisms • Engineer robust extraction pipelines that prioritise data accuracy, consistency, and observability • Implement proxy, fingerprinting, and request-routing strategies to maximise stability and throughput • Monitor scrape health, detect failures early, and rapidly debug production issues • Optimise performance, cost, and latency across scraping infrastructure • Work closely with data engineers, data scientists, and product teams to ensure scraped data is usable and trusted • Document scraping logic and operational runbooks for long-term maintainability