Google

Runs Search and YouTube and builds Gemini AI

Global Product Go-to-Market Lead - Revenue Opportunities

Sales OperationsPosted on Nov 9

Full-time

About the Job

Requirements

A bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
Three years of experience in technical troubleshooting and data analysis using one or more programming languages.
Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting.

Responsibilities

Own the business opportunity lifecycle across global publisher products, identifying scalable growth vectors based on commercial roadmaps, business needs, and partner data analysis.
Develop, model, and maintain datasets within Salesforce and core reporting systems to enable accurate tracking, measurement, and activation across sales teams.
Support enterprise AI transformation by integrating opportunity intelligence into surfaces such as Gemini Enterprise and Ask Ad Manager.
Maintain opportunity quality frameworks and monitor operational metrics, publisher performance trends, and pipeline health to maximize conversion impact.
Partner with Sales, Product Management, Engineering, and specialist teams to deploy programmatic solutions, streamline technical collateral, and scale self-serve publisher growth globally.
Partner with product experts to identify new publisher opportunities and help build processes that bring them to market across Google publisher products and sales teams.
Use Google and third-party data to develop forward-looking customer insights and solutions, anticipate publisher decision-making, uncover client business needs, and show how product offerings can grow their business.
Adapt engagement style across stakeholders and cross-functional peers to set shared objectives, build dialogue and partnerships, balance interests, and drive customer impact.
Act with limited guidance or information in ambiguous and changing environments, and help others do so by applying frameworks or input patterns.

Desired Qualifications

Five years of experience in the digital advertising space.
Experience with publisher- or developer-facing B2B products.
Experience working with both technical and business teams.
Ability to manage multiple time-sensitive projects with competing priorities, work independently, and drive projects to completion while navigating ambiguity.
Investigative problem-solving and troubleshooting skills, with the ability to communicate outcomes effectively to stakeholders at multiple levels.

Own the business opportunity lifecycle across global publisher products, identifying scalable growth vectors based on commercial roadmaps, business needs, and deep partner data analysis.
Develop, model, and maintain robust datasets within Salesforce and core reporting systems to enable accurate tracking, measurement, and activation across sales teams.
Support the enterprise AI transformation by integrating opportunity intelligence into novel surfaces, including Gemini Enterprise and native interfaces like Ask Ad Manager, directly reaching customers.
Maintain stringent opportunity quality frameworks, monitoring operational metrics, publisher performance trends, and pipeline health to maximize conversion business impact.
Partner with Sales, Product Management, Engineering, and specialist teams to deploy programmatic solutions, streamline technical collateral, and scale self-serve publisher growth globally.

Minimum qualifications:

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
3 years of experience in technical troubleshooting and data analysis in one or more programming languages.
Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting.

Preferred qualifications:

5 years of experience in the digital advertising space.
Experience with publisher or developer-facing B2B products.
Experience working with both technical and business teams.
Ability to manage multiple, time-sensitive projects with competing priorities while working independently to drive projects to completion. Ability to navigate through ambiguity.
Investigative problem-solving and troubleshooting skills with proven ability to communicate outcomes effectively at multiple levels of stakeholder.

Google’s Global Partnerships team works with a wide range of partners to bring the best of Google to power their business. The Sellside team partners with content publishers and app developers of all sizes to monetise their ad inventory, working with Google's broad range of partner solutions including AdSense, AdMob, and Google Ad Manager for Apps, across mobile, display, and video formats. Our partnerships support our mission to Fund the World’s Information.

In this role, you will enable Google-caliber client service across a dynamic product and tech stack in the GP Sellside business.

Our team brings growth opportunities to publishers each year. You will partner with product experts to identify new opportunities, and help build the rails which bring them to market across Google’s publisher products and sales teams.

You will solve problem, using relevant Google and third-party data to develop a strategic, forward looking perspective on customer focused insights and solutions. You will anticipate how publisher decisions are made, persistently explore and uncover the business needs of Google's key clients and showcase how our range of product offerings can grow their business.

You will be expected to flex engagement style across a variety of stakeholders and cross-functional peers to set shared objectives, create open dialogue, actively build partnerships, and balance our teams’ interests with theirs to drive greater impact for our customers. You will also be expected to function well in ambiguity, anticipate changing internal and external environments, act with limited guidance or information and help others to do so by applying frameworks or input patterns.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $126000 - $180000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.In most instances, this position requires in-person interviews as part of the hiring process.

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; San Francisco, CA, USA; Mountain View, CA, USA.

Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
3 years of experience in technical troubleshooting and data analysis in one or more programming languages.
Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

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