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).

Experience
4-8 yrs