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Engineering Analyst Manager, Ad Traffic Quality - Job Opportunity at Google

Dublin, Ireland
Full-time
Senior
Posted: May 9, 2025
On-site
EUR 120,000 - 160,000 annually plus equity compensation, based on Dublin market rates for senior technical management roles at major tech companies

Benefits

Comprehensive health insurance and wellness programs typical of Google's industry-leading benefits package
Professional development and learning opportunities
Stock options and equity grants (standard for management positions at Google)
Work-life balance initiatives
Global mobility opportunities

Key Responsibilities

Lead and manage analytics teams focused on ad traffic quality across Google's advertising ecosystem
Develop and execute strategic initiatives through OKR planning and stakeholder collaboration
Drive implementation of ML-based defense systems and automated solutions
Oversee cross-functional projects involving Product, Engineering, and Trust & Safety teams
Provide mentorship and strategic guidance to global team members

Requirements

Education

Bachelor's degree or equivalent practical experience

Experience

7 years of experience in data analysis and project management

Required Skills

Advanced SQL proficiency Data analysis expertise Project management Fraud detection Risk management Programming skills (SQL, R, Python, or C++) Excellent communication skills
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Sauge AI Market Intelligence

Industry Trends

The ad verification and traffic quality sector is experiencing rapid growth due to increasing digital ad fraud, estimated at $35B+ annually Machine learning and AI are becoming central to ad fraud detection, creating high demand for leaders who can bridge technical and strategic roles Major platforms are investing heavily in automated fraud detection systems, indicating a shift from manual to algorithmic solutions

Role Significance

Typically manages 8-15 direct reports across multiple sub-teams, with matrix management of cross-functional resources
Senior management position with significant impact on Google's ad revenue integrity and platform trust

Key Projects

Implementation of machine learning-based fraud detection systems Cross-product traffic quality initiatives Development of automated defense mechanisms Policy framework improvements Team capability building and process optimization

Success Factors

Strong technical background combined with strategic thinking Ability to translate complex technical concepts for various stakeholders Experience in fraud detection and risk management Track record of leading cross-functional technical projects Strong stakeholder management skills across global teams

Market Demand

Very high demand, driven by increasing sophistication of ad fraud and the critical nature of traffic quality for digital advertising revenue

Important Skills

Critical Skills

Advanced data analysis capabilities for complex fraud pattern detection Strategic thinking for anticipating and preventing new fraud types Technical leadership in ML/AI implementation Stakeholder management across global teams

Beneficial Skills

Experience with privacy regulations and compliance Knowledge of digital advertising ecosystems Understanding of blockchain and emerging security technologies Experience with large-scale data systems

Unique Aspects

Rare combination of technical depth and strategic management in ad quality
Direct impact on Google's core revenue stream
Opportunity to influence global ad quality standards
Access to cutting-edge ML/AI resources

Career Growth

Typical progression to next level within 3-4 years, depending on impact and organization growth

Potential Next Roles

Director of Trust & Safety Head of Ad Quality Technical Director Senior Engineering Manager

Company Overview

Google

Google remains the global leader in digital advertising, with its ad business generating over $200B in annual revenue

Dominant position in search advertising with expanding presence across all digital ad formats
Dublin office serves as a key European headquarters, managing significant portions of EMEA operations
High-performance environment with emphasis on data-driven decision making and innovation
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