Join gTech Ads as a Quality Lead, shaping the future of customer growth solutions within Google's extensive Ad products stack. This role is pivotal in guiding customers to maximize their success with our Ad and Publisher products. You'll contribute to a broad spectrum of services, from enhancing self-help resources and in-product support to providing direct assistance, account setup, campaign implementation, and delivering sophisticated media and technical solutions for our valued clients.

As a key player within a global, cross-functional team, your efforts will directly impact customer ROI and strengthen our position as a trusted partner. We collaborate closely with Sales, Product, and Engineering teams to innovate and refine our offerings, ensuring customers benefit from the full potential of Google's innovations and Google's mission to make the world a better place.

Lead the comprehensive gTech Ads Quality program, establishing robust long-term quality standards and automating processes.

Drive the evolution and governance of our Quality framework, regularly updating evaluation criteria for various delivery roles.

Identify systemic operational challenges by analyzing quality trends and developing actionable improvement roadmaps.

Collaborate with leadership to ensure SLA compliance and foster a commitment to delivery excellence.

Champion the integration of AI-powered quality operations and tooling to scale automated controls and proactive prevention across intricate workflows.

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

Possess a minimum of 10 years of experience in program or project management, alongside 10 years in people management.

Demonstrated experience in stakeholder management and developing quality rubrics or continuous improvement frameworks is highly valued.

Preferred candidates will have a strong foundation or practical experience with AI-driven quality solutions and a proven ability to influence C-level executives. Prior experience in democratizing knowledge and preparing teams for evolving AI and human workflows is also advantageous.