About the job

g Tech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Our team’s mission is to ensure key AI and automation initiatives for g Tech Ads activate their full business impact. You will be responsible for providing technical insights that influence how we sequence, build, and deploy tools for the g Tech Ads ecosystem.

As a member of the team within the Global Server Operations (gSO) Tools, Automation, and Infrastructure (TAI) team, you will serve as a bridge between engineering execution and business strategy. You will be discussing technical trade-offs with software engineers, and explaining automation return-on-investment and narratives to executives.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Responsibilities

• Lead multi-quarter technical programs from conception to business impact, ensuring all efforts converge on achieving g Tech Ads’ AI and Automation priorities.

• Partner with engineering to perform technical due diligence, evaluate scope, and establish milestones. Use the technical knowledge to challenge engineering on sequencing.

• Act as the primary storyteller for the initiatives, translating progress tracking into decision-making insights for leadership. Verify that tooling solutions meet business needs and activate promised results.

• Own and manage a portfolio of programs, creating processes to track progress, manage dependencies, and facilitate leadership reviews while triaging feature requests and bugs.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 4 years of experience in Go-to-Market Strategy, Sales Operations, Strategy and Operations, Management Consulting, Finance, or Program Management.

• Experience managing business activities, such as annual business planning, headcount management, running business reviews, or goal setting.

Preferred qualifications

• MBA or other relevant advanced degree.

• Experience tailoring and delivering reporting and presentations, asking questions, and leading conversations that drive results.

• Experience collaborating with cross-functional teams and influencing without authority to drive operational excellence, delivery of priority initiatives, process improvements, and change management.

• Experience of working with software engineers or technical consultants.

• Experience in technical program management, delivering cross-functional programs.

• Experience in executive stakeholder management with the ability to translate technical data into narratives.