Your new company This is a fast-growing UK-based online marketplace that connects millions of customers with thousands of trusted retailers across a wide range of categories, from tech and homeware to fashion and lifestyle products.
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
Built on a seller-first approach, the platform stands out by not competing with its retailers, instead focusing on creating a fair, transparent, and profitable environment for partners.
With a reputation for innovation, including a unique cashback programme and ambitious international expansion plans, the business is reshaping the e-commerce landscape and offering customers more choice while driving real value for sellers.
Your new role This role is about using data, technology and automation to drive measurable growth across multiple markets.
You'll be responsible for shaping and delivering a performance strategy that spans 21 countries and 20 languages, ensuring campaigns are efficient, scalable and underpinned by robust analytics.
You'll lead on core channels such as Google Shopping (PMax and Standard) and Bing Shopping, while also exploring opportunities across platforms like TikTok, Reddit, YouTube and Meta.
A key part of the role is working closely with data science teams to integrate machine learning, propensity modelling and automation into activation and optimisation.
Data will sit at the heart of everything you do.
You'll use SQL and analytics tools to produce accurate reporting, uncover insights and make evidence-based decisions.
Feed management will also be a priority, ensuring product data is optimised through tools such as Feedonomics, Channable and to maximise visibility and performance.
Segmentation and personalisation will be another focus area.
You'll develop strategies based on behavioural data and enrichment, applying these across CRM, affiliate and partner channels to improve targeting and engagement.
You'll lead a small, highly skilled team, creating a culture that values experimentation, automation and continuous improvement.
The ideal candidate will have experience managing large advanced technology solutions, and finding practical ways to overcome challenges such as language localisation at scale without relying on large regional teams.
This is a role for someone who enjoys solving complex problems with data, understands the technical detail behind performance, and can translate insights into actions that deliver real business impact.
What you'll need to succeed We're looking for someone with solid experience in performance within e-commerce or online marketplaces, with a strong technical understanding of how these ecosystems operate.
You'll need deep expertise in Google and Bing Shopping, including advanced feed management and optimisation, as well as the ability to build and apply segmentation strategies that drive measurable outcomes.
Collaboration with data science teams will be a key part of the role.
You should be comfortable working on propensity modelling, automation and other data-driven initiatives that enhance targeting and efficiency.
This isn't just about running projects, it's about using technology and analytics to make smarter decisions at scale.
A strong analytical mindset is essential.
You'll have hands-on experience with SQL and analytics platforms, enabling you to interrogate data, generate insights and translate them into actionable strategies.
Familiarity with emerging channels and a willingness to experiment with new technologies will also be important, as we're constantly looking for ways to innovate and improve performance.
Finally, this role requires leadership and strategic thinking.
You'll guide a small, high-impact team, fostering a culture that values automation, data-led decision-making and continuous improvement.
What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. xkybehq
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