Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience developing scaled business activation services for customers including agencies, advertisers, etc.
- 5 years of experience in a client-facing role focusing on consulting or business development.
- Experience working with Google Ads or digital marketing/advertising solutions.
- Experience with data visualization and engineering, AI/ML with coding experience in SQL.
Preferred qualifications:
- Experience with software development and launch (external to company or open-source) through privacy/legal/engineering review processes.
- Experience with SQL or Python, technical documentation (Business/Product Requirements Document, design documents), cloud technologies, software engineering standard procedures and system design.
- Knowledge of Auto-ML technologies (e.g., Google Vertex AI).
- Ability to identify/prioritize business opportunities.
- Ability to deliver complex long term projects.
gTech 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.
Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.
To learn more about gTech, check out our video.
The US base salary range for this full-time position is $130,000-$191,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about
benefits at Google.
- Drive the planning, program management and implementation of the agency externalization initiatives, including launching scaled camps, planning self sufficient content enablement.
- Solve business problems through enterprise grade technical solutions, serving as a data/engineering manager for a team of vendor software engineers, Product Managers/Program Managers and data scientists operating across varied workstreams.
- Engage with leadership at all levels of marketing partners ranging from chief officers to the practitioners to prioritize agency initiatives and interventions needed to externalize.
- Activate services and solutions with agencies by bringing them the best of Media Operations in collaboration with agency, product, sales, tech and vendor partners.
- Refine time diagnostic studies to identify issues and develop solutions across process and product automation, standardization and upskilling and expanding diagnostic framework into display, video and shopping.
