Join gTech Ads, a pivotal team at Google, dedicated to maximizing customer success across our comprehensive Ad products. We empower businesses, from emerging startups to large enterprises, by offering expert support and strategic media and technical services. Our mission involves enhancing customer value through proactive self-help, seamless in-product assistance, and personalized support interactions. We also specialize in account setup, campaign implementation, and crafting innovative media solutions to meet diverse marketing objectives. For our largest clients, we deliver sophisticated technical and measurement solutions, providing consultative guidance.

Leveraging the power of AI and Generative AI models like Gemini, Google Ads is at the forefront of innovation, driving a multi-billion dollar global business. Our work directly influences billions of users by ensuring ad quality, protecting users from harm, and optimizing campaign performance for advertisers. We cultivate a highly collaborative environment, working closely with teams such as Google Research and DeepMind to tackle complex challenges at an unprecedented scale.

Develop and implement future-proof quality control processes aligned with the evolving Quality Control Manager role in the agentic space, including frameworks and measurement strategies. Track and scale successful initiatives, conduct root-cause analysis for design or execution issues, and ensure measurable business impact.

Drive automation strategies, particularly in machine learning applications relevant to quality and overall Customer Experience (CX). Foster strong stakeholder relationships and thrive in a matrixed, cross-functional, and global multicultural setting. Share critical quality assurance insights, identifying systemic issues and outliers that affect CX. Champion standardization of processes and methods across delivery regions to ensure consistent customer experiences, Key Performance Indicator (KPI) delivery, and realize economies of scale.

A Bachelor's degree or equivalent practical experience is required.

Minimum of 5 years of experience in building strong relationships with stakeholders or clients.

Possess at least 5 years of experience in a customer or client-facing role supporting operations.

Demonstrate 5 years of experience in identifying process issues, developing effective solutions, and collaborating with cross-functional teams to implement these changes.

Preferred qualifications include an MBA or Master's degree, and certifications in Operations Six Sigma, COPC, or Lean (or equivalent relevant coursework). Significant experience (5 years) analyzing data to generate actionable business insights is highly valued, as is experience with data center logistics and exposure to AI/ML tools or agentic solutions. Proficiency in SQL and expertise in data and insights are also beneficial.