Performance Marketing Manager (Shopping and Search Campaign)

Orchestrate the programmatic deployment and administrative maintenance of global search and shopping architectures across the multi-brand portfolio. This role transforms onshore strategic blueprints and local analytical parameters into high-functioning ad configurations, prioritising the systematic interrogation of account efficiency. By executing precise bidding audits and negative keyword hygiene, the specialist search engine environment.

Responsibilities:

• Architect and deploy search, shopping, and Performance Max campaign variables, ensuring rigorous adherence to global portfolio nomenclature and structural standards.
• Conduct systematic daily optimisations, including the expansion of keyword matching logic, persistent negative query hygiene, and the granular refinement of asset group copy.
• Manage high-frequency budget pacing loops across an expansive ad set volume to mitigate spend volatility while maximising delivery within priority asset windows.
• Calibrate bidding adjustments and return constraints within native interfaces, executing precise tactical shifts in alignment with strategic parameters set by onshore leadership.
• Execute rigorous daily system health audits, monitoring tracking instrumentation consistency, URL integrity, and catalogue synchronisation status across primary platforms.

Requirements:

• Experience in Google Search and Shopping campaign execution.
• Direct experience managing Google Ads architectures including Search, Shopping, and Performance Max (PMax).
• Hands-on experience managing large-scale marketplace/e-commerce catalogues.
• Command of keyword management, search query reports (SQRs), and systematic negative keyword hygiene.
• Hands-on experience with Smart Bidding strategies and campaign optimisation.
• Ability to execute campaign changes with high accuracy and operational discipline.

Nice to have:

• Basic Python, SQL or analytical skills.
• Experience with reporting/BI tools (Looker, Tableau, Power BI).
• Python or Google Ads Scripting knowledge.
• Experience with data warehouses (BigQuery, Snowflake).
• Knowledge of emerging AI Search platforms (OpenAI/Gemini).