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Senior Performance Marketing Manager (Google Shopping & Bing )

2 hours, 40 minutes ago
United Kingdom
Full-time
Senior
Digital Marketing Manager
Marketing and Growth
CSS Google Tag Manager SQL
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OnBuy

OnBuy

OnBuy: Leading UK online marketplace with competitive fees for sellers, secure shopping experience, and direct payments via PayPal.

Internet Software & Services
51-250
Founded 2012
$61M raised
View All Jobs 2

Description

  • Own the full Shopping and PMax account architecture, including campaign tiers, priorities, listing groups, custom labels, negative structures, and feed-driven segmentation.
  • Ensure structural scalability across tens of thousands of campaigns and millions of SKUs, including automation of campaign creation, routing, and lane governance.
  • Control the interplay between PMax and Standard Shopping to balance margin, traffic shaping, and signal control.
  • Design and maintain complex segmentation frameworks for product eligibility, performance cohorts, and commercial signals.
  • Own CSS account strategy, including bid separation logic, feed-exclusion rules, and commission or auction mechanics optimization.
  • Own Merchant Center health, including schema, feed rules, disapprovals, diagnostics, and error remediation.
  • Build advanced labelling systems for commercial signals, product scoring, seller quality, and activation logic.
  • Translate commercial conditions such as margin, fee bands, and seller activation into schema logic.
  • Optimize toward incremental GMV and contribution rather than ROAS, using propensity modeling outputs, EXTA parameters, decile segmentation, and SKU-level economics.
  • Lead the Daily Trading Room, identify opportunities and issues, and deploy rapid interventions.
  • Work with Data and BI teams to operationalize performance-based routing, activation logic, and bidding exposure rules.
  • Own wastage reduction across query sculpting, negative hygiene, asset group discipline, budget pacing, and low-value SKU suppression.
  • Own campaign-lane health by monitoring lane density and merging or splitting structural segments as needed.
  • Own and improve tracking approaches across PMax, Shopping profit frameworks, and revenue tracking systems.
  • Partner with Data Science and vendors to operationalize segmentation, validate performance claims, and govern automation changes.

Requirements

  • True expert in Google Shopping and PMax, including priorities, campaign types, listing groups, negative logic, feed rules, schema versioning, and Merchant Center troubleshooting.
  • Deep Merchant Center expertise and hands-on ownership of schema troubleshooting, attribute debugging, disapproval resolution, and feed-rule design.
  • Experience operating in a multi-million SKU marketplace environment.
  • Strong analytical capability and comfort with experimentation.
  • Proven experience designing Google Shopping/PMax architecture, including campaign tiering, listing-group design, negative-logic frameworks, and feed-driven segmentation.
  • Ability to build and maintain custom label frameworks tied to commercial logic such as margin tiers, stock states, product groups, and performance segmentation.
  • Experience managing Shopping/PMax for large catalogues at scale, with 100,000+ SKUs minimum and ideally 1M+ SKUs.
  • Demonstrated capability implementing SKU-level contribution or profit-based bidding logic.
  • Ability to control PMax signal pathways by preventing contamination, isolating high-value SKUs, and shaping traffic using feed-level engineering.
  • Ability to diagnose and repair issues across the full chain from Feed to Merchant Center to Ads to PMax or Shopping.
  • Experience with inventory filtering and multi-tier segmentation such as L1/L2/L3 or equivalent layered Shopping systems.
  • Hands-on experience with feed tools such as Channable, DataFeedWatch, Intelligent Reach, or custom internal feeds beyond surface-level usage.
  • Ability to run structured architecture tests such as campaign consolidation, label schema redesigns, and feed experiments.
  • Familiarity with profitability modelling or dynamic pricing, preferred.
  • Experience with BI tools or SQL, preferred.
  • Experience with automation such as scripts or feed tools, preferred.

Benefits

  • Salary of £75,000 to £85,000 depending on experience.
  • Company equity.
  • 25 days annual leave plus Bank Holidays.
  • An extra day off for your birthday.
  • Employee Assistance Programme.
  • Perks at Work benefit platform.
  • Opportunities for career development and progression.
  • Hybrid working with 1-2 days in the Media City, Manchester or Bournemouth office, with UK remote flexibility and occasional office travel when needed.

Interested in this position?

Apply directly on the company website

Apply Now

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