Join gTech Ads, a global team dedicated to providing comprehensive support and technical services for Google's Ad products. We empower customers of all sizes to maximize their use of our Ad and Publisher platforms, offering everything from enhanced self-help resources to direct interaction support, campaign setup, and advanced technical solutions. Our mission is to foster customer success and drive significant return on investment by partnering closely with Sales, Product, and Engineering teams.

Google Ads is at the forefront of the open internet, connecting users, publishers, and advertisers with innovative technology. Our diverse teams build and enhance advertising products across search, display, shopping, travel, and video, alongside powerful analytics tools. We focus on creating valuable and trusted ad experiences that fuel business growth for companies ranging from small enterprises to major brands and YouTube creators, while enabling Google to engage with customers at scale.

Spearhead the development of forward-thinking quality control processes, aligning with the evolving landscape of Quality Control Managers in the agentic space. Establish frameworks, measure outcomes, and report on performance. Identify and scale successes while conducting root-cause analyses for design or execution issues to ensure business impact.

Leverage automation and machine learning to enhance quality and overall Customer Experience (CX). Drive effective stakeholder management within a dynamic, matrixed, cross-functional, and globally diverse environment.

Communicate quality assurance insights, highlighting systemic issues and outliers impacting the customer experience. Champion process standardization across all delivery regions to ensure consistent customer experiences, achieve Key Performance Indicators (KPIs), and capitalize on economies of scale.

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

Minimum of five years of experience is necessary in building strong relationships with stakeholders or clients. Additionally, five years of experience in a client-facing role supporting operations is essential.

Candidates should possess five 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, relevant certifications (Six Sigma, COPC, Lean), five years of data analysis experience to derive business insights, and familiarity with data center logistics. Exposure to AI/ML tools and expertise in SQL for data analysis are also highly valued.