Paid Search Growth Manager (DE/AT) – Hybrid & Remote Travel

Angi; Amsterdam; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Highly competitive salary package

Hybrid work environment

Temporary work from abroad policy

Regular team and social events

Referral bonus

Job summary

A leading home services provider is seeking a Paid Search Marketing Manager in Amsterdam. You will manage Google Ads and Microsoft Ads for growth and profitability, collaborating with product teams to implement data-driven strategies. Candidates should have 2-4 years of experience in paid search, strong analytical skills, and proficiency in both German and English. The position offers a hybrid work environment with a highly competitive salary package, emphasizing innovation and data-driven experimentation.

Qualifications

• 2-4 years of experience in Paid Search Marketing, specifically with Google Ads and Microsoft Ads.
• Experience with budget management, bid optimisation, and performance tracking.
• Analytical mindset with a focus on data-driven decision-making.

Responsibilities

• Manage and optimise Google Ads and Microsoft Ads campaigns for profitability.
• Conduct keyword research, ad copy tests, and analyse performance.
• Collaborate with Product and Analytics teams for insights and reporting.
• Monitor trends and test new strategies for paid search growth.

Skills

Paid Search Marketing

Google Ads

Microsoft Ads

Budget management

Data-driven decision-making

Strong communication in German

Strong communication in English

Job description

A leading home services provider is seeking a Paid Search Marketing Manager in Amsterdam. You will manage Google Ads and Microsoft Ads for growth and profitability, collaborating with product teams to implement data-driven strategies. Candidates should have 2-4 years of experience in paid search, strong analytical skills, and proficiency in both German and English. The position offers a hybrid work environment with a highly competitive salary package, emphasizing innovation and data-driven experimentation.